Data Analyst

Roles & Responsibilities

Analytics (Data & Insights)

1. Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

2. Identifying trends and patterns in data and using this information to drive business decisions

3. Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects

4. Build highly impactful and intuitive dashboards that bring the underlying data to life through insights

5. Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations

Operational Excellence

1. Improve data quality by using and improving tools to automatically detect issues

2. Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT s protocol

3. Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas

Stakeholder Management

1. Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual analytical applications, from development of mock-ups and storyboards to complete production ready application

2. Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

3. Create compelling documentation or artefacts that connects business to the solutions

4. Coordinate internally to share key learning with other teams and lead to accelerated business performance