Responsibility

1. Identifying appropriate data, data quality assessment, developing analytics and data visualization
2. Collect data by using a scripting language such as SQL – extract raw data and use a script to adjust and organize it for better analysis
3. Uses data to develop analytics for complex business problems that provide insight to business decision-makers.
4. Visualize data insights and communicate your findings to teams across the organization
5. Identifies internal and/or external data sources and required/available data elements, partners with internal/external resources to capture data and develop dashboards and analytics using a Business Intelligence reporting tool or data visualization program
6. Performs analysis of structured/unstructured datasets to develop metrics, using visualization programs (advanced superset data function) to create reports, dashboards, and other displays of trends and patterns.

Eligibility & Experience:

1. Graduate/Post Graduate from a recognized university
2. 1-2 Years of experience in Data Analytics using – Superset, Tableau etc
3. The chosen analysts will be involved in building brand new analytics reports & dashboards from scratch.
4. The role will involve raw data parsing, persistence design (database, file system), creating storage and retrieval APIs and scripts and building analytics, reports and models on the data.

Skills

1. Strong data analysis skills
2. Familiar with at least one BI Tool such as Tableau, Superset, Power BI, qlik sense
3. Strong SQL querying & scripting experience
4. Strong Python scripting experience
5. Familiar with Pandas, matplotlib & other popular data analytics libraries