Data Analyst

Planet Group; Culver City (CA); Remote; USD 85,000 - 91,000; Full time

Job summary

The Planet Group is seeking a Data Analyst for a 12-month contract to support a Fortune 500 client. The role is remote, but you must be local to Culver City, CA, and able to collaborate with teams across functions.

You will own Tableau dashboards, perform marketing analytics, and ensure data quality. The ideal candidate has deep SQL experience and familiarity with AI tooling to automate analytics tasks.

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.

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.

Skills

Marketing analytics

Data storytelling

Attention to detail

Communication

Tools

Tableau

SQL

Python

Job description

Data Analyst
Location:Remote, but must be local to CUL
Schedule: 40 hours
Duration:12months
Pay:$62/hr-$66/hrDOE

The Planet Groupis looking foraData Analystto join our well-known Fortune 500 client on a 12-months contract, working a remote schedule, but must be local toCulver 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.