The Role
Lead data quality and analytics initiatives: implement QA and testing to ensure data integrity, design sustainable data solutions, provide data-driven insights, and communicate recommendations to stakeholders while leading a small team.
Summary Generated by Built In
- Quality Assurance: Implement comprehensive reviews and testing to guarantee data integrity, reliability, and compliance with established standards. Provide data-driven insights and recommendations to inform strategic decision-making.
- Champion Creative Solutions: Navigate ambiguity and tackle data challenges by designing and implementing innovative solutions that balance immediate needs with sustainable practices.
- Analytical Abilities: Strong analytical and problem-solving skills to troubleshoot complex data issues and ensure high data quality and compliance.
- Communication: Excellent verbal and written skills for clearly summarizing technical insights and actionable recommendations to both technical and non-technical stakeholders
- Experience: 3+ years in data management, data analytics, or data engineering field—with a proven track record in team leadership (managing teams of 3+ members).
- Educational Background: Bachelor’s degree from Tier I/II institutions; Master’s degree in Data Analytics, Information Systems, or another relevant discipline is highly desirable.
- Technical Skills:
- Required: Proficiency in Advanced SQL for data processing and analysis
- Desirable: Experience with data integration, ETL processes, and analytics tools (Airflow, dbt)
- Desirable: Familiarity with data visualization platforms (e.g., Tableau, Looker)
- Desirable: Familiarity with Cloud technologies (AWS, Azure, GCP)
Skills Required
- 3+ years in data management, data analytics, or data engineering with team leadership (managing teams of 3+)
- Bachelor's degree from Tier I/II institution
- Master's degree in Data Analytics, Information Systems, or related
- Proficiency in Advanced SQL for data processing and analysis
- Experience with data integration, ETL processes, and analytics tools (Airflow, dbt)
- Familiarity with data visualization platforms (Tableau, Looker)
- Familiarity with Cloud technologies (AWS, Azure, GCP)
- Strong analytical and problem-solving skills for troubleshooting complex data issues
- Excellent verbal and written communication skills for technical and non-technical stakeholders
- Experience implementing quality assurance, reviews, and testing to ensure data integrity and compliance
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
