Total 3 Senior Executive level Science / R&D / Research job vacancies in makati city rcbc 6819 ayala

Companies have increasingly been relying on market insights to make informed decisions and our role at NIQ has evolved into us being information scientists -predicting the ‘What's Next’ for our clients, in order for them to grow, stay relevant in the present, and for the future. Our behavioral researchers in NIQ’s Consumer Insights team tackle our clients’ issues by unlocking the why and the how, while our data researchers identify key clients' priorities quantitatively by applying data science techniques to the survey and other big data sources.

Responsibilities

• Maintaining and building an accurate, complete, up-to-date understanding of the market with insightful data and intelligence
• Accountable for analyses, charting, and performing quality checks for analytic reports
• Assisting in developing analytical solutions, consumer insight recommendations, and developing questionnaires aligned with client goals and needs
• Assisting in preparation of proposals and credential presentations
• Ensuring timely and quality deliverables and services to clients
• Providing administrative and operational support in research projects
• Collaborating with the various internal teams for research projects

A Little Bit About You

You will play an essential role in managing research projects from start to finish, supporting the Manager on research design, analysis, reporting through to presenting findings to clients. We will arm you with the best in market research skills and capabilities, through on the job coaching and structured training. You will also be given access to our full range of data and analytics solutions. Whilst we love surveys, we also have plenty of other data to quench your curiosity and wow your clients.

• Act as one of the focal members of the Consumer Intelligence and Consulting Group – primarily Research Operations
• Provide support and assistance with the management of research projects across industries
• Serve as the quality checking (QC) champion to ensure adherence with GfK and global research standards

Key responsibilities
• Manage assigned research projects in a timely manner with minimal supervision
• Coordinate and harness rapport with partners / vendors across research opportunities
• Provide helpful support with the formulation of questionnaires, and interview / discussion guides
• Oversee survey scripting process
• Conduct quality checking and processing of data
• Assist in the creation of charts and tables used for the report

The resource will be responsible for developing solutions for our clients to further position Merkle | Cardinal Path as a leading data, analytics, and insight service provider. We are searching for candidates that have experience building business intelligence dashboards, working with cloud hosted analytic databases, and conducting data analysis using SQL or Python.

An ideal candidate will have proven expertise in SQL alongside experience in databases such as BigQuery or Redshift. Experience with BI platforms such as Tableau, Power BI, Datorama, or DOMO is essential. Knowledge in Python is also required, as well as experience in data ETL and working with product APIs. Experience in DBT or Alation is not required but is a bonus, as the immediate project work will include supporting adoption of Google Cloud Dataform and Google Cloud Data Catalog which are similar.

The work will require familiarity with media analytics data sources such as Campaign Manager 360, Display & Video 360, Google Analytics, Adobe Analytics, Google Ads, Adobe Audience Manager, Facebook Ads, and more. An existing background in these types of tools is extremely beneficial but not strictly required depending on other experiences.

Responsibilities Include:

• Provide project level of effort estimates involving data integration, data architecture, business analysis or application development
• Produce solution architecture and design documentation oriented towards meeting client needs
• Translate stakeholder business needs into detailed business/functional requirements documentation
• Support and improve upon ongoing standards and process for overall data architecture team, including developing governance, support and testing models
• Create datasets, extracts, or views of data that will be consumed by teams of analysts and data scientists to support data mining, analytics, reporting, and dashboards
• Perform exploratory data validation with analysts to ensure quality data standards are in place and ensure data integrity during all transformation steps