Data Science Strategist

Job not on LinkedIn

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🇺🇸 United States – Remote

💵 $85k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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FINN Partners

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

✈️ Travel

Consulting • Healthcare • Travel

FINN Partners is a global, independent marketing and communications agency known for its rapid growth and innovative approaches. The company specializes in a range of services including digital marketing, public relations, crisis communication, and brand strategy & development. With a values-driven culture, FINN Partners emphasizes integrity, collaboration, and innovation, offering specialized expertise across various sectors such as arts, consumer and lifestyle, education, energy, financial services, health, technology, and travel & tourism. The agency is committed to driving positive social impact and helping brands share their stories effectively to drive business value.

📋 Description

• 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

• 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

• 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

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