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The Planet Group

Data Analyst

Culver City, CA · 1 week ago

Contract

12 to 12 a hour

About the job

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.