The candidate would be responsible for creating/maintaining complex SQL queries and scheduling/refreshing ETL jobs. They would be required to automate manual tasks and simplify them using Python. They would also be required to build data pipelines/dashboards, take up dive deep requests, make changes to existing analytical framework and provide data support to concerned stakeholders. The person should have a good understanding of a business requirement and the ability to quickly get to the root cause of a particular reporting/BI/data issue and draft solutions for resolution specially during high demand period like peak planning. The ideal candidate would be high on attention detail, show bias for action and keen interest in analytics/BI/automation.
Some of the key result areas include, but not limited to:
Own the design, development and maintenance of ongoing data pipelines, queries, metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and resources.
Work closely with stakeholders (internal/external) to understand and automate/enhance the existing processes.
Should be open to learn and develop skillsets in the latest data and analytical techniques
Should be able to solve a business problem through a solution driven by data.
Should be able to come up with innovative ideas for new work or to improve existing work.
BASIC QUALIFICATIONS
- 1+ years of data analytics or automation experience
- 1+ years of capacity planning, operations planning, business analysis or similar experience
- Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- Experience with data mining tools like SQL, SAS, SPSS, or similar
PREFERRED QUALIFICATIONS
- 1+ years of business analysis (dealing with large complex data) experience
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