LOOKING FOR FILIPINO CITIZENS RESIDING IN THE PHILIPPINES ONLY"
Work Hours: M - F EST
Holidays: TBD
Pay Range: 1000- 2000 USD/month
We are looking to hire a data analyst to join our analytics team. You will be working alongside the technical and analytics teams. You will be responsible for the creation of new analytics dashboards driven by business needs.
Responsibilities:
- Maintain, clean, and process large business data sets.
- Work with stakeholders to understand their business objectives and provide relevant, clear, concise, and digestible data to them.
- Deliver data first solutions to stakeholders within Tableau.
- Import, clean, and merge new data sets into Tableau from external and internal sources.
- Support and maintain new and existing dashboards in the Tableau ecosystem.
- Translate business objectives into actionable intelligence dashboards.
- Distill and combine data sets into logical groups.
- Onboard and train new users to consume and create new dashboards.
- BA or BS degree in Business Administration, Data Science, IT, Computer Science, Engineering, or similar degree
- 1-2 years of experience in business analytics, process automation, or data and statistical analysis
- Proficiency and experience creating dashboards from multiple separate data sources
- Experience using a major data visualization platform (Tableau, Power BI, Qlik, etc.) or other data visualization software (R, D3.js, etc.)
- Ability to break down large problems into small actionable pieces
- Excellent communication skills working with stakeholders across the company.
Nice to have:
- Experience in data analysis for e-commerce or B2B companies
- Experience with SQL and extracting data from relational databases
- Exceptional analytical skills, comfortable working with large amounts of data and communicating data findings, experience establishing and tracking program metrics including return on investment
- Previous experience or knowledge of the flooring industry
- Programming experience particularly with Python and Python analytics frameworks such as Pandas and Scikit Learn
