Data Analyst
3 days ago
Job Title: Data Analyst / Associate Data Analyst
Experience: 1-5 yrs
Job location: DLF Cyber Hub Gurugram
Work Mode: 5 Days (WFO)
Job Type: Full time
Interview Rounds: 4
Notice Period: Max 30 days
Roles & Responsibilities
Analytics (Data & Insights)
- Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data
- Identifying trends and patterns in data and using this information to drive business decisions
- 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
- Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
- Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations.
Operational Excellence
- Improve data quality by using and improving tools to automatically detect issues
- Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACTs protocol
- Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas.
Stakeholder Management
- 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
- Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business
- Create compelling documentation or artefacts that connects business to the solutions
- Coordinate internally to share key learning with other teams and lead to accelerated business performance
Behavioral Skills
- Delivery Excellence
- Business disposition
- Social intelligence
- Innovation and agility
Knowledge
- Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)
- Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.)
- Enterprise reporting systems, relational (MySQL, Microsoft SQL Server, etc.), and non-relational (MongoDB, DynamoDB) database management systems
- Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
- Cloud computing services in Azure/AWS/GCP for analytics
Education
- Bachelor's degree in computer science, Information Management or related technical fields
Experience
- 1-5 years for Data Analyst
- Relevant working experience in a quantitative/applied analytics role
- Experience with programming and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
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