Data Insights Engineer
3 weeks ago
Job Summary
We are seeking a highly skilled Data Insights Engineer to join our team at ASSPL - Karnataka. As a key member of our Operations Finance team, you will be responsible for designing, developing, and maintaining efficient data solutions using Oracle, Redshift/AWS, IBM Cognos, and Mega/XML platforms.
Key Responsibilities
- Interface with business customers to gather requirements and deliver complete automated reporting solutions.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Develop automated solutions that improve productivity and fill gaps in toolsets available to the business teams.
- Support a platform providing ad-hoc access to large datasets.
- Collaborate with other Technical and Operations teams across the company to promote best practices and share solutions.
- Partner with finance and business teams to come up with insights on the business.
Specific Responsibilities
- Developing and maintaining automated metrics reports.
- Analyzing and improving metrics to support business needs.
- Collaborating with research team to benchmark and validate algorithms.
- Maintaining/improving database, manipulating data as needed to solve reporting problems.
- User support for reporting and portal issues, as well as overall troubleshooting support for any platform issues.
- Development, maintenance, and delivery of formalized training programs, including documentation, in-person courses, virtual training, and video-based instruction.
Requirements
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
- Experience with scripting language (e.g., Python, Java, or R).
Preferred Qualifications
- Master's degree, or Advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis, co-relation analysis.
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