Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention. 

PRIMARY RESPONSIBILITIES

As a member of the team in our Global Business Solutions (GBS) center, conducts data processing in the analysis of EHS matrix samples in chemical lab. In particular, validates, calculates and reports lab results to strict quality and ethical standards.

REPORTING LINE

Operational direct reporting to Affiliate lab manager or supervisor; administrative accountability to GBS Supervisor.

SPECIFIC RESPONSIBILITIES

• At all times, complies with SGS Code of Integrity and Professional Conduct.
• Performs various data processing functions, including laboratory data calculations and integrations, quality control checks, LIMS entries, and other data management functions as required.
• Ensures lab deadlines are met and the GBS Team Coordinator (or section Lab Manager in their absence) is notified immediately if the turnaround time specified cannot be met.
• Ensures all testing methodology and quality control procedures are performed according to ISO17025 and assigned SGS lab standards where applicable.
• Keeps Affiliate Manager, GBS Supervisor and any other key Affiliate personnel informed immediately of all operational issues, including:
  • Personnel matters affecting performance,
  • Failure to meet turnaround requirements,
  • Failure to meet ISO17025, country certifications and assigned SGS lab standards where applicable,
  • Inconsistencies in quality control procedures so they may be rectified immediately,
  • Additional training requirements identified.
• Adopts and supports specific operational improvement activities as communicated by the GBS Team Lead. These projects will focus on the improvement of quality, efficiency, accreditation, communication and technical improvement.
• Maintains a working knowledge of all required analytical procedures in the section.
• Looks for efficiency gains in your section by being aware of new technologies and reviewing existing procedure.
• Able to respond to technical queries.
• Performs other related duties as may be assigned either in support of departmental goals or for his/her personal or professional training, education or development as programmed by his/her immediate superior.
• Ensures work area in GBS is kept clean and presentable at all times.
• Remains familiar with SGS quality assurance procedures.
• Complies to all SGS QHSE and HR policies and procedures.

A LITTLE BIT ABOUT Boldr

• Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world.
• We are a global team, united by our desire to connect diverse people with common values for boldr impact. 
• We employ just over a thousand team members across five countries and we want to employ over 5,000 people by 2027, if not sooner.

LET’S START WITH OUR VALUES

• Meaningful connections start with AUTHENTICITY
• We do our best work by being CURIOUS
• We grow by remaining DYNAMIC
• Our success combines AMBITIOUS VISION with OPERATIONAL EXCELLENCE 
• At the heart of great partnerships we’ll always find EMPATHY

WHAT IS YOUR ROLE

As a Data Services Associate, you will be working with different tools and databases to review data. You are responsible for executing processes as defined by the client and/or management. The role requires keen attention to detail while maintaining productivity at defined proficiency levels and an aptitude to learn new processes.  

WHY DO WE WANT YOU

We are currently looking for impact-driven individuals who are passionate in helping Boldr grow and achieve our Purpose. We expect our Team to become our ultimate partners to success by always giving their 110% in everything, sharing their talents and quirks, and championing our core values: Curious, Dynamic and Authentic.

WHAT WILL YOU DO

• Execute processes assigned by the client and/or management.
• Ensure defined productivity targets are met.
• Ensure defined quality targets are met.
• Identify process improvement opportunities as they arise.
• Reports process deficiencies to ensure accurate execution of tasks.
• creating and finishing projects assigned by the client. 
• Collaborate with internal and external teams in completing projects.
• Review submissions.

WHAT WE’LL LIKE ABOUT YOU

 YOU ARE…

• Curious and authentic, just like us! #beboldr .

• An analytical and critical thinker, with an eye for even the most minute of details.
• Passionate about client satisfaction.

YOU HAVE…

• Bachelor's / College Degree in any field you’re passionate about!
• Previous experience in a related field is a plus.
• Basic knowledge of Salesforce is a plus.
• Experience in using CRM and other similar applications or tools.
• Basic knowledge of cloud-based applications such as Google Drive, Google Sheets, Google Docs and MS Office applications.

• Private Health Insurance
• Paid Time Off
• Work From Home
• Training & Development
• Mental Health Program
• Philhealth Coverage

Ensures that the company adheres to data protection laws and best practices, safeguarding the privacy of personal information. Serve as the focal point for data protection strategies and are responsible for navigating the complex landscape of legal requirements related to personal data

This role is responsible for designing and delivering insightful, moderately complex analyses and reports to empower business partners across the enterprise. The ideal candidate is highly skilled in data acquisition, processing, visualization, and automation enabling them to provide actionable insights that drive data-informed decision-making. Their work will directly support the organization’s strategic goals, ensuring that stakeholders have the information needed to make effective and timely decisions.

• Perform data collection and management and ensure data integrity and readiness for analysis
• Support the reporting and analysis strategy
• Perform spend analysis and data modeling
• Perform and then provide analysis of process reports
• Perform analyses using large datasets and multiple data sources
• Define company data assets and manage and improve existing reporting systems
• Assist in preparing compliance-related reports and procedural documentation
• Develop custom reports for customers and provide management support
• Develop data reports and dashboard visualizations
• Develop, maintain, and innovate data dashboards visualization and applications
• Contribute to various and simultaneous process efficiency to streamline processes, improve customer experience, and increase productivity; produce data quality reports for decision making
• Escalate issues and recommend resolutions to the Team Lead for timely. May support junior members of the team in addressing routine issues within the assigned processes.
• Maintain the SOP/DTP of current processes and incorporate documentation updates as required.
• Perform moderately complex tasks in compliance with service level agreement, process, policies, and procedures.
• Propose alternatives in identified issues and assist in investigating and in resolving common and unusual issues.
• Participate in audit-related activities.
• Contribute specialized expertise to different assigned projects and may provide key updates to Team Lead and Manager.

We're looking for a proactive and strategic Channel Strategy Analyst to join our Visa Client Care Operations team. You'll develop and optimize channel strategies, ensuring they align with our clients' needs.

Key Responsibilities:

• Technical Skills:
  • Use data analysis tools like Excel, SQL, Python, R, or similar software.
  • Collect, clean, and manage large datasets to support business goals.
  • Apply statistical methods and create data visualizations to interpret trends.
• Analytical Thinking:
  • Spot patterns and trends in data to provide actionable insights.
  • Use critical thinking and problem-solving to draw meaningful conclusions.
  • Turn complex data into clear, actionable recommendations.
• Communication Skills:
  • Present findings clearly through reports, presentations, and other channels.
  • Explain complex analyses effectively to both technical and non-technical stakeholders.
• Business Acumen:
  • Understand business operations and key performance indicators (KPIs) relevant to Visa Client Care.
  • Align data analysis with business objectives and strategic goals.
• Collaboration:
  • Work effectively within a team to gather requirements, analyze data, and deliver results.
  • Collaborate with different departments to understand business needs and provide insights.
• Benefits Reporting:
  • Work with business partners to establish baselines for calculating Actual vs. Forecasted Benefits.
  • Ensure the adoption of transformation initiatives to meet forecasted benefits, working closely with business teams.
  • Be accountable for reporting realized benefits or gaps compared to forecasted outcomes.

Additional Expectations:

• Industry Knowledge: Experience or expertise in the finance industry is a plus.
• Project Management: Manage the analysis process from data collection to report delivery.
• Attention to Detail: Ensure accuracy and consistency in data analysis.
• Adaptability: Stay current with evolving data analysis techniques and technologies.

Hybrid Position:
This is a hybrid position. You'll alternate between remote and office work, typically working from the office two days a week (usually Tuesdays and Wednesdays), aiming for 50% office time based on business needs.

Octal Philippines Inc. is excited to announce an opportunity for a BI/Data Management Junior Developer. In this role, you will play a key part in supporting our data analytics and business intelligence initiatives. You will work within a collaborative environment to help transform data into actionable insights that drive strategic decisions across the organization.

• Provides assistance to BI team in all aspects of the development, testing, data validations and implementation of the project
• Learn and understand Data Warehousing, Business Intelligence (BI) and ETL
• Gain expertise in BI tools such as IBM Cognos, Power BI and Staq and utilize them on future projects
• Work with the team in documenting project details, workflows, technical specifications and operational procedures
• Continually improving coding skills

• The main responsibility of this role is to manage data reporting and project deliverables including:
  • Maintains EHS tools for data presentation and delivery to clients, including all database/dashboard configurations.
  • Assists internal clients in all elements of successfully operating the monitoring systems.
  • Performs data analytics and programming of workflow automation in support the I&E and NR GBS projects

Specific Responsibilities   

• At all times, complies with SGS Code of Integrity and Professional Conduct.
• Designs, manages and supports data dashboard deliverables and associated project workflows for analyzing continuous monitoring data to strict quality and ethical standards.
• Provides total project team responsiveness.
• Responsible for liaising with project teams in order to have a full knowledge of project requirements, and documenting requirements accordingly
• Carries out project work including development and creation of analytical data outputs and reports to complement and assist with wider objectives on client EHS projects.
• Performs various data analytics functions, including building reports and dashboards using Power BI as required, including translating complex source data into meaningful visualisations.
• Implements workflow automation projects using various tools, especially Power Automate and similar workflow automation tools.
• Performs data modelling and database design, as well as data manipulation and transformation using Power Query, SQL and other coding languages (VBS, Python, etc.).
• Ensures all testing methodology and quality control procedures are performed according to ISO17025 and assigned SGS lab standards where applicable.
• Keeps I&E/NR Head of GBS, GBS Supervisor and any other key personnel informed immediately of all operational issues, including:
  • Personnel matters affecting performance,
  • Failure to meet turnaround requirements,
  • Failure to meet ISO17025, country certifications and assigned SGS lab standards where applicable,
  • Inconsistencies in quality so they may be rectified immediately,
  • Additional training requirements identified.
• Adopts and supports specific operational improvement activities as communicated by the GBS Team Lead. These projects will focus on the improvement of quality, efficiency, accreditation, communication and technical improvement.
• Maintains a working knowledge of all required analytical procedures in the section.
• Looks for efficiency gains in your section by being aware of new technologies and reviewing existing procedure.
• Able to respond to technical queries.

Builds, enhances and maintains an Enterprise Data Warehouse that serves the reporting and analytical needs for AECOM. Participates in Systems Delivery Life Cycle for Data Analytics and Reporting projects including preparing detailed technical design documents; designing and developing ETL/ELT code and database objects; participating in unit and system testing; engaging with supporting administration teams, Cognos metadata developers, and data analysts; and providing production and off-hours operations support as needed.

• Develops data warehouse data models and data integration jobs, using Oracle RDBMS, SQL/PLSQL, and/or Informatica PowerCenter. Responsible for populating the data warehouse, sourcing data from various databases and application platforms including but not limited to Oracle RDBMS, Microsoft SQL Server, Oracle E-Business Suite, Workday, Salesforce, Smart Recruiters, and Dun & Bradstreet.
• Works with and supports Cognos report developers, data analysts, and operations team. Ensures report queries run efficiently. Tunes database queries as required. Troubleshoots integration processes when reporting errors are identified and operations team is unable to resolve.
• Implements code through AECOMs change management process. Maintains all required artifacts, including Business Requirements Document, proof of tests, and migration instructions using ServiceNow, TFS and Github.
• Applies knowledge of software tools, programming languages, and shell scripts to provide solutions that shape best practices for data pipeline and data warehouse development at AECOM.
• Continuously trains, adheres and learns from peers within the organization.
• Assigned tasks are of low complexity.
• Knows or learns to use the tools required for the job assignment
• Participates in special projects and performs other related duties as required.

Builds, enhances and maintains an Enterprise Data Warehouse that serves the reporting and analytical needs for AECOM. Participates in Systems Delivery Life Cycle for Data Analytics and Reporting projects including preparing detailed technical design documents; designing and developing ETL/ELT code and database objects; participating in unit and system testing; engaging with supporting administration teams, Cognos metadata developers, and data analysts; and providing production and off-hours operations support as needed.

• Develops data warehouse data models and data integration jobs, using Oracle RDBMS, SQL/PLSQL, and/or Informatica PowerCenter. Responsible for populating the data warehouse, sourcing data from various databases and application platforms including but not limited to Oracle RDBMS, Microsoft SQL Server, Oracle E-Business Suite, Workday, Salesforce, Smart Recruiters, and Dun & Bradstreet.
• Works with and supports Cognos report developers, data analysts, and operations team. Ensures report queries run efficiently. Tunes database queries as required. Troubleshoots integration processes when reporting errors are identified and operations team is unable to resolve.
• Implements code through AECOMs change management process. Maintains all required artifacts, including Business Requirements Document, proof of tests, and migration instructions using ServiceNow, TFS and Github.
• Applies knowledge of software tools, programming languages, and shell scripts to provide solutions that shape best practices for data pipeline and data warehouse development at AECOM.
• Continuously trains, adheres and learns from peers within the organization.
• Assigned tasks are of low complexity.
• Knows or learns to use the tools required for the job assignment
• Participates in special projects and performs other related duties as required.

Investor Solutions

The creation of Asset Owner Solutions stems from many years of servicing multi-asset, fund-of-fund clients. Clients have been requesting solutions that provide full transparency on their portfolios which include fundamentally private equity funds as well as equities & bonds, investors need to know the finer details of their total portfolios and they are required to “drill down” into their underlying assets and sub-portfolios. Technology and data solutions are becoming more important to deliver these services.

Job Summary

• Periodic preparation and delivery of pre-agreed reporting for various clients’ portfolios
• ETL – Extract data from PDF documents, web forms, and Excel templates; Transform into applicable format; and Load into relevant data repository
• Provision of initial observations to clients
• Data report provision and review to third parties as per client requirements
• Provision of ad-hoc analysis or reports
• Handle resolution of queries and communication with clients and third parties
• Assist in the implementation of change requests including project work in new client onboardings
• Design and review reporting output and deliverables to meet client requirements and new business objectives
• Participate in workshops and requirements gathering sessions with clients and take action with the wider team on achieving targets
• Continuous review of the processes and procedures within AOS, take initiatives to improve the control environment of reporting output and deliverables to clients and identify ways to improve the efficiency of AOS
• Play an integral role in the development and implementation of new data-focused solutions
• Document project tasks and group work, assign these to relevant parties and track progress
• Liaise with AOS colleagues, attending conference calls and advising on any additional project work or improvement activities
• Drive projects focused on automation/improvement of manual data extraction activities
• Conduct a first-pass review of work done by Data Analyst colleagues
• Assist the Data Manager in workload management, resource planning, and induction of new joiners

Personal Specifications

• Mathematical/statistical background
• Strong attention to detail
• Excellent organisational, prioritisation, and interpersonal skills
• A strong ‘Can Do’ attitude and ability to lead by example
• Strong ownership of tasks and sense of teamwork
• Ability to work independently
• Excellent written and verbal communication skills

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing real-time analytic solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.
• Manipulate data using Python or SQL; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes.
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply NLP and machine learning techniques.
• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing real-time analytic solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.
• Manipulate data using Python or SQL; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes.
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply NLP and machine learning techniques.
• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

This individual will be part of VCA’s geographic cluster of Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for leading data science engagements with Visa's clients in the Philippines & Cambodia.

The role reports to Head of Data Science overseeing IPVMC cluster and will be based in Visa’s Manila office.

This role combines deep industry knowledge, senior relationship building skills and a solutions-based, consultative selling approach to deliver revenue and sales growth.

Key responsibilities :

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify strategic areas where data science can drive strong business impact, in alignment with organization's goals and priorities

• Act as the market linchpin between our country team and regional data science hub to elevate go-to-market approach for commercializing Visa data solutions

• Develop holistic data science program for driving innovation, accelerate new solution launches for Philippines clients and create data offerings in alignment with business strategy

• Executive presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for Philippines/Cambodia client engagements

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets

• Lead a strong team, and by embodying the Visa Leadership Principles, provide continuous coaching and mentorship to achieve VCA objectives and key results, while also helping individuals grow and develop their careers in VCA and at Visa more broadly

Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention. 

What does the Senior Data & Analytics BI Development Specialist opportunity look like for you?

You will play a pivotal role in the development and maintenance of interactive client, investor and operational team facing dashboards using Tableau, Power BI and other visual analytics tools. You will work closely with clients and senior stakeholders to capture their BI requirements, conduct data analysis using SQL, Python (or other open-source languages), and visualise the insights in an impactful manner.

Tasks (what does the role do on a day-to-day basis)

• Engaging with external clients, vendors, project reps, internal stakeholders from operations as well as client services teams to understand their analytics and dashboard requirements and interpret them into technical specifications
• Creating and maintaining high-level database and model architecture of the BI solution recommending best practice
• Conducting in-depth exploratory data analysis and define business critical features
• Working with key teams within Group Technology to get appropriate access and infrastructure setup to develop advanced visualisations (BI dashboards)
• Creating and optimize SQL Server stored procedures, views, queries as well as queries from multiple data sources to efficiently and effectively retrieve data from databases, employing the fundamentals of dimensional data modelling
• Designing and creating advanced and robust Data Solutions to develop best practice data warehouse solutions that support business analytics asks
• Creating, maintaining and document the different analytics solution processes created per project worked on
• Resolving IT and Data Issues. When database issues arise or support requests come in through Azure DevOps or the help desk, BI Developers are expected to work to resolve these problems. This requires a good understanding of legacy solutions and issues.
• Ensuring updates to Azure DevOps items, help desk tickets and work in progress are well communicated and escalations regarding the support being provided is kept to a minimum

Job Objective

As a Cost Data Analyst within the Supply Chain Planning, Governance and Analytics (SC-PGA), your primary responsibility will be to analyze and interpret cost data to support financial decision-making, cost optimization, and process improvement initiatives. You will work closely with cross-functional teams to gather, analyze, and present cost-related information, providing valuable insights and recommendations. This role requires strong analytical skills, attention to detail, and the ability to collaborate with stakeholders at all levels.

Key Duties and Responsibilities

• Cost Data Analysis: Collect, analyze, and interpret cost data from various sources to identify trends, patterns, and cost drivers. Conduct in-depth cost analysis and perform variance analysis to understand and explain cost fluctuations.
• Cost Optimization: Collaborate with cross-functional teams to identify cost-saving opportunities and support cost optimization initiatives. Analyze current cost structures, processes, and expenditures to identify areas for improvement and recommend cost-saving measures.
• Cost Modeling: Develop and maintain cost models to forecast and simulate cost scenarios based on various inputs and assumptions. Conduct sensitivity analysis to assess the impact of changes in key cost drivers on overall costs.
  Financial Reporting: Prepare accurate and timely cost reports, including cost breakdowns, cost allocations, and cost performance analysis. Communicate cost analysis findings and recommendations to stakeholders, including senior management.
• Process Improvement: Identify process inefficiencies, bottlenecks, and cost leakages through cost data analysis. Collaborate with process owners and stakeholders to develop and implement process improvements that enhance cost efficiency and control.
• Cost Benchmarking: Conduct benchmarking analysis to compare the SC-PGA's cost performance against industry standards, best practices, and peer organizations. Identify gaps and opportunities for cost improvement based on benchmarking results.
• Data Integrity and Quality: Ensure the accuracy, integrity, and quality of cost data by performing data validation checks, reconciliations, and data cleansing activities. Collaborate with data custodians to address data discrepancies and improve data quality.
• Stakeholder Collaboration: Work closely with finance, procurement, operations, and other cross-functional teams to gather cost-related information and collaborate on cost-related initiatives. Provide analytical support and insights to stakeholders on cost-related matters.
• Continuous Improvement: Continuously improve cost data analysis methodologies, tools, and reporting processes. Stay updated on industry trends, best practices, and advancements in cost analysis techniques.
  
   

The Senior Software Engineer develops, implements, and maintains software solutions that enable business operations to realize company goals & objectives. The incumbent performs analysis, design, coding, debugging, testing, and support of software applications.  May be assigned to develop new applications/systems, enhance/upgrade existing systems or provide production support.  He/she works independently on moderately complex projects, receiving only general direction. May provide assistance and direction to less experienced peers.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
• Coordinates with software architects and Software engineer IVs to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
• As part of Agile teams, completes software development work which includes application design, coding, code review and testing. Keeps Agile team and APM apprised of project status.
• Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
• Manages engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them.
• Liaises with other project and program areas to coordinate interdependencies and resolve issues.
• Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
• Maintains a working knowledge of new technology and software engineering standards, practices and tools.
• Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates
• Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing real-time analytic solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.

• Manipulate data using Python or SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply techniques such as decision trees and clustering.

• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

We are looking for a talented Commercial Data Analyst to join our established team, focusing on leveraging our group-wide CRM platform, DealCloud (internally referred to as OneView). As a key member of the team, you will play a crucial role in optimizing our user interactions and leveraging our CRM platform (DealCloud) to drive business growth. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a deep understanding of CRM solutions to enhance user engagement and maintain data quality within the platform.

Responsibilities:

CRM Strategy Development

• Collaborate with cross-functional teams to design and implement effective CRM strategies aligned with business objectives.
• Analyze user trends and behavior to identify opportunities for CRM system enhancement.

Platform Management

• Contribute to the administration and maintenance of the CRM platform.
• Customize and configure the CRM system to meet specific business needs.
• Ensure data accuracy, consistency, and security within the CRM database.
• Ongoing management of predefined data points within the system to ensure all mandatory data is up to date.

Data Analysis and Reporting:

• Utilize data analytics to derive insights into user behavior, preferences, and trends.
• Generate regular reports to assess the performance of CRM initiatives and recommend improvements.
• Accountable for completing data hygiene tasks and related processes.

User Training and Support:

• Conduct training sessions for users on effective utilization of the CRM system.
• Provide ongoing support to users, addressing queries and troubleshooting issues.
• Ensure clear lines of communication to users to advise of updated data requirements in the client lifecycle and errors in data.

User Engagement Enhancements:

• Collaborate with commercial team to develop targeted user engagement strategies.
• Implement automated workflows and communication processes to enhance user interactions.                

Tasks (What does the role do on a day-to-day basis)

• Support Senior Business Analyst in management and hygiene of DealCloud data.
• Support users with data queries and the overall use of DealCloud from a commercial perspective.
• Completing data quality checks and implementing pre-defined processes.
• Work with the wider business to build relationships with users and promote best practice of DealCloud. 
• Responsible for maintaining relationships with key stakeholders across the broader group to support improvement and growth in system capability, reporting business needs to OneView Manager and technology owner.
• Responsible for developing standard communication to users to advise of updated data requirements in the client lifecycle and errors in data.