Responsibilities

• Candidates must be willing to participate in at least one in-person interview.
• Take ownership of the analytical frameworks that define our growth, transforming fragmented data into cohesive acquisition strategies.
• Solve the challenge of cross-channel attribution and identify high-value customer segments that traditional metrics might overlook.
• Provide the critical evidence needed to shift marketing investments, ensuring our budget is always aligned with the highest potential for return.
• Deliver an audit of current acquisition channels within your first 90 days to identify efficiency gaps and propose a reallocated spend model that improves ROAS by a measurable margin.
• Design and execute a comprehensive A/B testing roadmap for landing pages and ad creatives, directly contributing to the team’s conversion rate optimization OKRs.
• Automate complex weekly and monthly reporting workflows using AI-driven tools to reduce manual data preparation time by at least 30%.
• Translate intricate web behavior data into actionable customer personas, allowing the marketing team to tailor messaging for specific high-lifetime-value cohorts.
• Partner independently with the Data Science team to refine our attribution models, ensuring every touchpoint in the customer journey is accurately valued.
• Provide strategic recommendations during monthly business reviews that synthesize internal performance with broader eCommerce market trends

Requirements

• Minimum Education: Bachelor’s Degree in Marketing, Business, Mathematics, Analytics, or a related field
• Minimum Experience: 2–4 years of experience in Data Analytics or a similar data-intensive role
• Required Technical Skills: At least 2 years of experience with: Advanced SQL for data retrieval and manipulation; Python or R for statistical analysis; Data visualization platforms (Tableau, PowerBI, or Databricks)
• Willingness to participate in at least one in-person interview
• Visa sponsorship not available for this role

Preferred

• Web analytics tools (Google Analytics 4 or Adobe Analytics)
• Amazon Marketing Cloud, DSP, or other advanced programmatic advertising environments
• eCommerce platforms such as Magento, Shopify, or BigCommerce
• Statistical significance and experimental design in a digital marketing context

Benefits

• We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.