Senior Data Analyst
New
J
JobgetherConsumer services
This fully remote role is for a Senior Data Analyst based in the United States., Availability to collaborate during U.S. business hours.Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 6 years of professional experience in analytics engineering, including 2 or more years in a senior-level capacity.
- Required Skills
- Microsoft Power BITableauData modeling
Requirements
- Bring at least 6 years of professional experience in analytics engineering, including 2 or more years in a senior-level capacity.
- Have experience owning production-grade data models actively used by other teams.
- Have experience with cloud data warehouses and managing performance and costs.
- Demonstrate hands-on expertise with relational databases, including schema design, query optimization, indexing, and administration.
- Understand dimensional modeling and be able to explain and justify architecture and modeling decisions.
- Have practical experience building and maintaining ETL/ELT pipelines and data transformations through version-controlled workflows.
- Have experience improving data quality through testing, documentation, and robust design practices.
- Be familiar with data governance frameworks, role-based access controls, PII, and data privacy best practices.
- Have experience with identity stitching, consent management logic, or historical data tracking.
- Have a background in customer analytics, lifecycle analytics, or related business intelligence initiatives.
- Have experience delivering customer attributes and audience segments to downstream tools and platforms.
- Be able to gather requirements and translate business needs into data solutions.
- Experience in franchising, multi-location retail, or consumer services is an advantage.
Responsibilities
- Design, build, and maintain enterprise data models and reliable gold-layer datasets.
- Develop and manage ETL/ELT pipelines to move, transform, enrich, and validate data.
- Apply dimensional modeling principles and consistent transformation standards.
- Build and maintain interactive dashboards and automated reports using Power BI, Tableau, or other business intelligence platforms.
- Track company-wide KPIs and translate business questions into metrics, visualizations, and insights.
- Improve data reliability through testing, documentation, lineage management, and data architecture.
- Deliver accurate customer attributes, segments, and lifecycle data to downstream platforms.
- Partner with Marketing, Product, Finance, and Operations to define reporting requirements and customer lifecycle attributes.
- Collaborate with application engineers, analysts, and machine learning and AI stakeholders on data solutions.
- Contribute to data modeling conventions, code reviews, governance standards, data strategy, and warehouse performance and cost optimization.
View Full Description & ApplyYou'll be redirected to the employer's site
