Note : minimum 8 years of exp in USA geography not the total years of exp .
The senior data analyst is responsible for analysing business requirements and converting them into data requirements such as reports, data lifecycle management. They will analyse and interpret complex data sets to inform business decisions. The senior data analyst will also be expected to lead and mentor junior data analysts as well as communicate findings and recommendations to stakeholders and management .
- SQL/NoSQL databases, social media, surveys within organization, and additional, public domain, market data sources.
- Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, capture metadata, define data schema, clean, and prepare data in an appropriate format to perform analysis.
- Analyse data using statistical techniques to identify trends and patterns (e.g. growth/decline in key metrics) and create visualizations and reports to present findings to business stakeholders and/or data scientists for further actions.
- Build expert knowledge of products, systems, data and data quality in order to provide high business impact analysis and consultation. Provide robust, data-driven customer insights and recommendations for strategic decision-making purposes by performing deep dives and providing meaningful analysis to the business units .
- Assess and monitor the quality of data by working with the Data stewards, Data quality leads, and internal stakeholders and support the implementation of data quality rules and remediation of issues.
- Provide guidance and mentorship to junior members of the team.
- Build a culture of collaboration and innovation. Proactively identify pain points through the data and
- formulate potential opportunities that can be pursued by the business units.
- Collaborate/Partner with product owner and delivery teams to ensure that the project/product is
- delivered with quality and in time. Assist the scrum master to provide estimate and impact assessment.
- Interpret data models (Logical and Physical) and ensuring they align with the solution design. Design
- reusable and scalable frameworks to achieve standardization and efficiency. Convert user requirement into technical specifications and design documents and identifying new data sources for the data warehouse.
- Also responsible for other Duties/Projects as assigned by business management as needed.
- Also responsible for other Duties/Projects as assigned by business management as needed.
Mandatory Skill set .
- Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on prem and cloud such as Azure, AWS and Google Cloud.
- Experience working with relational databases using SQL.
- Experience with Data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud.
- Experience articulating and translating business questions and using statistical techniques to arrive
- at an answer using data.
- Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations .
- Experience working with relational databases using SQL .
- Experience with data visualization tools such as Power BI, Tableau etc.
- Excellent presentation, communication, and organizational skills