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Data Analyst
Job in
Long Beach, Los Angeles County, California, 90801, USA
Listed on 2026-10-30
Listing for:
Planet Group
Full Time
position Listed on 2026-10-30
Job specializations:
-
IT/Tech
Data Analyst, Business Intelligence
Job Description & How to Apply Below
Data Analyst
Location:Remote, but must be local to CUL
Schedule
: 40 hours
Duration
:12months
Pay
:$62/hr-$66/hrDOE
The Planet Group
is looking fora
Data Analyst
to join our well-known Fortune 500 client on a 12-months contract, working a remote schedule, but must be local to Culver City, CA.
Qualifications:
- 5+ years in marketing analytics, media reporting, or BI development
- Advanced Tableau: data modeling, published data sources, Prep, LODs, performance tuning, and dashboard design
- A portfolio of interactive Tableau dashboards you built, available to review live
- Strong SQL. Python for automation is a plus
- Familiarity with paid media KPIs and cost metrics across Display, Video, Social, SEM, and Affiliate
- Comfortable using AI tools in daily analytics work
- Experience reconciling financial or invoice data against source systems
- Clear written communicator who documents their work, owns their work fully, and pays close attention to detail
- Own the Certified Data Sources: maintain the Tableau Prep flows built on the paid-media data warehouse, add fieldsand joins, standardize dimensions and metadata, and keep the semantic layer analysts depend on reliable.
- Design, build, and iterate Tableau dashboards for LoB stakeholders. Work from a project spec through fixed beta cycles,and follow Viz Ops visual and development standards.
- Investigate and resolve recurring data accuracy issues, including periodic payments-business data QA cycles and quarterly wrap reporting.
- Run monthly affiliate commission reconciliation (streaming video and music programs, via Partnerize) and support annual PO setup.
- Find data issues and route them to the owning platform team through the standard ticket process. Document the likely root cause, but don't fix upstream data yourself.
- Build and maintain team infrastructure: data-connector alerting, data-sharing documentation, and lightweight
Python/SQL automation. - Plan and track work in the team's project management system. Take part in sprint planning, weekly WIP reviews, andpeer review.
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