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.