Data Science Strategist

FINN Partners

. Partner with account, media, social, SEO, and client teams to understand goals and translate business questions into measurement plans and KPIs .

Posted 11/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $85,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics and data science, with a strong focus on building dashboards, automating data processes, and applying multi-touch attribution and media mix modeling. Proficient in using BI tools and AI technologies to derive actionable insights and optimize marketing strategies.

Highest-signal resume keywords

Marketing Analytics ExperienceDashboard Building ProficiencyMulti-Touch Attribution ExpertiseGoogle Analytics 4 ProficiencySQL and Python/R Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Marketing AnalyticsData ScienceMulti-Touch AttributionMedia Mix ModelingDashboard BuildingData AutomationSQLPythonRGoogle Tag Manager

Soft Skills

Excellent CommunicationStrategic MindsetProject Management

Tools & Technologies

NinjaCatLooker StudioPower BITableauBigQuerySnowflake

Industry Keywords

Regulated IndustriesPrivacy FrameworksConsent ModeServer-Side TaggingFirst-Party Data Strategies

Tech Stack

Tools & technologies

BigQueryCloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Partner with account, media, social, SEO, and client teams to understand goals and translate business questions into measurement plans and KPIs
Diagnose data problems, including tracking gaps, disconnected sources, and conflicting numbers
Design measurement frameworks for integrated campaigns across paid, owned, and earned channels
Present findings and recommendations to internal stakeholders and clients in plain, actionable language
Build, automate, and maintain client and internal dashboards and reporting solutions
Use NinjaCat and other BI and data-connector tools to unify cross-channel marketing data into scalable reporting
Build automated data pipelines, calculators, audit and QA scripts, reporting templates, and lightweight internal apps
Explore and pilot AI-powered features in the BI and martech stack and help shape responsible AI use
Develop data models and QA processes to keep reporting accurate, consistent, and trustworthy
Develop and run multi-touch attribution analyses
Build and interpret media mix models using frameworks such as Meridian, Robyn, platform-native tools, or custom Python/R models
Recommend budget allocation and optimization strategies based on attribution and MMM outputs
Apply incrementality and testing approaches where appropriate
Stay current on martech, privacy changes, AI, and measurement methods and bring new ideas to the team

Requirements

What you’ll need

4–7+ years of experience in marketing analytics, data science, or business intelligence, ideally in an agency or consultancy environment
Working understanding of paid search, paid social, programmatic, SEO, email, and web analytics
Proven dashboard building and BI experience, such as NinjaCat, Looker Studio, Power BI, or Tableau
Experience building data tools and automations, including scripts, pipelines, templates, or small apps
Comfortable using AI tools for coding, analysis, automation, and documentation, with judgment to check and validate outputs
Hands-on expertise with Google Analytics 4 and Google Tag Manager
Experience building or applying multi-touch attribution and media mix modeling using more than one toolset or methodology
Strategic mindset and ability to connect data work to business outcomes
Excellent communication skills and ability to explain technical concepts to non-technical audiences
Comfortable managing multiple client projects and deadlines simultaneously
Experience with NinjaCat highly preferred
SQL proficiency and experience with Python or R for analysis and modeling highly preferred
Experience with cloud data warehouses such as BigQuery or Snowflake highly preferred
Familiarity with privacy and consent frameworks, including consent mode, server-side tagging, and first-party data strategies, highly preferred
Experience in regulated industries such as healthcare highly preferred

Benefits

Comp & perks

Competitive salary
Health, dental, and vision insurance
401(k)
Generous PTO policy
Paid holidays
Wellness stipend for physical and mental health programs
Remote-first workplace
Optional in-office days