Modernizing reporting infrastructure, improving data processes, and ensuring accuracy, scalability, and efficiency for meaningful business decisions.
Requirements
- Excellent SQL skills and solid knowledge of ETL processes, data integration, and transformation.
- Experience with distributed query engines such as Hive, Presto, or BigQuery.
- Exposure to DevOps tools such as JIRA, Git, Docker, or Alluxio is a plus.
Responsibilities
- Lead the transformation of vendor reporting by identifying inefficiencies, automating manual workflows, and establishing scalable reporting frameworks.
- Collaborate with product teams to prioritize and implement new reporting features, ensuring seamless compatibility during client migrations.
- Work closely with external vendors to refine data exchange processes, resolve discrepancies, and enhance data quality for all stakeholders.
- Serve as a subject-matter expert on internal data flows, ensuring reporting aligns with platform architecture, compliance requirements, and product evolution.
- Conduct deep-dive performance analyses across vendor datasets to detect issues, identify optimization opportunities, and prevent performance degradation.
- Implement proactive monitoring and alerting mechanisms to surface bottlenecks and operational risks.
- Document infrastructure updates, best practices, and reporting standards to promote transparency and knowledge sharing.
Other
- 5 to 8 years of experience as a Data Analyst or Data Engineer with strong analytical and problem-solving abilities.
- Ability to collaborate effectively across cross-functional teams with strong communication and interpersonal skills.
- Detail-oriented, proactive, and comfortable driving data-informed decision-making.
- Remote work flexibility.
