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Senior Data Analyst, Growth
Sinclair Inc.United Statesfull_timeVerifiedPosted 31 Mar 2026
💰 $117,000/yr($88,000/yr – $117,000/yr)
About the role
This position has a hybrid schedule based in our Seattle office.
Major Goals:
- Support company OKRs and initiatives by collaborating with product owners/managers, SMEs, legal, engineers, and other partners across the entire organization to ensure user observability.
- Informs product, design, engineering and monetization by connecting data insights with broader business goals during product evaluations.
- Diplomatically help drive impactful revenue, user engagement, user acquisition, and observability initiatives while collaborating with other analysts, developers, designers, researchers, product managers, stakeholders, and partners across the organization.
- Prioritize and balance multiple data analysis workstreams efficiently, provide data-driven insights to stakeholders.
- Possess a mastery in locating specific data within Sinclair’s various data systems.
- Mastery in visualizing data to for clear communication of business-critical information.
- Own data validation efforts, verifying accuracy of collected data by either or both human and artificial agents.
- Able to effectively convey to leadership analysis objectives, evaluations, discoveries, and rationale.
Key Result Areas:
Leadership:
- Assumes a leadership role by bringing strategic thinking: can identify the right questions, connect insights, and convey uncovered narratives in an impactful way.
- Coach and inspire colleagues by advocating and promoting the value of observability and data driven decision making.
- Mentor data analysts and data developers sharing best data practices to promote reporting accuracy and efficiency.
- Create data tasks for yourself, and teammates as needed.
- Regularly evaluates existing processes and tools, making recommendations for improvements to enhance data analysis efficiency and impact.
- Acts as a role model for inclusion, fairness, and equal opportunity within the team and the broader organization.
Mastery:
- Mastery in the Databricks systems, AI agent validation and reporting functions.
- Implements systems that are reliable, scalable, resilient, and cost-effective, ensuring data analysis can be conducted across multiple platforms and products.
- Proactively removes silos. Unafraid to work outside of the core discipline.
- Consistently shares progress and eagerly seeks feedback, fostering a culture of collaboration and continuous improvement within the product growth team and across the organization.
- Develop expertise in; knowledge of first-party data, programmatic advertising, consumer data, sales, marketing, and effective technical delivery, programmatic advertising, first-party data and leads generation, and registration business model.
- Require very little oversight beyond high-level direction.
Strategic Impact:
- Ensures efforts are directly aligned with business objectives, ensuring achievable, measurable, and impactful goals are pursued.
- Effectively leads data analysis by clearly summarizing key insights and prioritizing main takeaways to spark meaningful discussions. Provides deeper details as needed, depending on time available.
- Actively investigate issues and opportunities, providing insights to into system and user behaviors, contributing to the development of cutting-edge, personalized user experiences and improved monetization opportunities.
- Ability to communicate shortcomings, gaps, and innovative strategies that help drive alignment and improved experiences and/or monetization opportunities.
- Identify methods for uncovering competitive insights that can give Sinclair products a digital edge and differentiated offerings.
- Become immersed in industry and market trends and bring relevant insights to conversations.
Data Analysis:
- Pursue evidence-based data excellence.
- Extract data, create reports, and provide sound business recommendations to company leaders related to multiple business lines, with an emphasis on programmatic advertising.
- Use data insights to help improve user journeys, customer acquisition, email marketing, consumer engagement, and monetization efforts.
- Build data reports and audience segments as required for the company’s diverse multiplatform portfolio in News, Entertainment and Sports.
- Collect and analyze data using multiple platforms and tools, including Google Ad Manager, Salesforce, Cognos, Databricks, Looker Studio and Tableau.
- Analyze and interpret data to determine patterns, optimizations, correlations, revenue opportunities, track campaign performance, programmatic advertisin
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