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Generalist data title, metro locations, and broad skillset requirements increase competition significantly.
Core Python, SQL, and BI skills are widely transferable across industries.
Mandatory 7 years plus required Python, SQL, Power BI and VBA create high filtering strictness.
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Manage data collection, database upkeep, and ensure data quality by detecting and correcting errors.
Use statistical techniques and tools like Power BI, Excel, Python, and SQL to analyze complex datasets, generate insights, and develop dashboards and reports for business decision-making.
Coordinate with management and cross-functional teams to align analytics priorities, track process metrics and SLAs, and lead data analysts to identify optimization opportunities.
Bachelor's degree in Computer Science, Information Management, Statistics, or a related discipline.
Minimum 7 years of experience in data analytics or data science roles.
Proficiency in MS Office (advanced Excel), Power BI, VBA Macros, Python, and SQL for data analytics.
Ability to handle independent client execution and reporting, with excellent analytical and communication skills.
Experienced in managing end-to-end data analytics projects with a focus on process improvements and client deliverables.
Comfortable working under pressure and meeting tight deadlines in collaboration with management and operational teams.
Skilled in both technical data analytics (Python, SQL, Power BI) and client-facing communication and reporting.