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Analytical Engineer
2 weeks ago
Key Skills: Data Visualization, Python, SQL, Numpy, Pandas.
Roles & Responsibilities:
- Understand user requirements from domain experts and translate them into data tooling requirements.
- Create rapid analytics prototypes (notebooks, dashboards) to address user needs.
- Develop dashboards and reports for stakeholders using structured and semi-structured datasets.
- Identify data gaps (missing data, inaccurate data, inconsistent fields) and ensure improvements in collaboration with domain experts and data engineers.
- Implement data quality checks to maintain data integrity.
- Identify opportunities to improve timeline, reliability, and costs for product lines.
- Follow good software engineering practices to ensure high-quality deliverables.
Experience Requirement:
- 8-12 years of experience in analytics engineering with a strong background in developing dashboards, data visualizations, and reports.
- Hands-on experience working with structured and semi-structured datasets.
- Experience in implementing data quality checks and collaborating with cross-functional teams.
- Proficient in data analysis using Python and SQL with a deep understanding of data modeling and visualization.
Education: B.Tech M.Tech (Dual), B.E., B.Tech.