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Data / Data Mining Analyst
Culver City, CA

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The Planet Group

Data Analyst

Pay: $133,120/yr
Posted: 6 days ago
Location: Culver City, CA (Remote)
Last Updated: 4 days ago
Hours: Full-Time
Expires: 11/25/2026
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Job Description

Data Analyst Location:
Remote, but must be local to
CUL Schedule :
40 hours
Duration:
12 months
Pay:
$62/hr-$66/hr DOE The Planet Group is looking for a 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. Data Analyst |
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 Data Analyst |
Responsibilities:
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 VizOps visual and development standards. Investigate and resolve recurring data accuracy issues, including periodic payments-business data QA cycles andquarterly wrap reporting. Run monthly affiliate commission reconciliation (streaming video and music programs, via Partnerize) and supportannual PO setup. Find data issues and route them to the owning platform team through the standard ticket process. Document the likelyroot cause, but don't fix upstream data yourself.
Build and maintain team infrastructure:
data-connector alerting, data-sharing documentation, and lightweightPython/SQL automation. Plan and track work in the team's project management system. Take part in sprint planning, weekly WIP reviews, andpeer review.