Data Analyst II - Marketing

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

The Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.

About the role

You will bridge the gap between complex marketing data and actionable business strategy by designing the data structures that power our marketing performance reporting. Your mission is to solve the puzzle of customer identity and campaign attribution, ensuring that every marketing dollar is backed by precise audience segmentation and performance insights. By transforming raw data into visual stories, you will enable our leadership to make high-stakes decisions that drive customer growth and engagement.

Objectives

• Audit our current cohort building processes and implement optimized SQL/Python workflows that reduce audience segment latency within your first 90 days
• Deliver a suite of automated Tableau dashboards that provide real-time visibility into campaign health and conversion trends for all major stakeholders
• Partner cross-functionally with Creative and Product teams to align data insights with business objectives, ensuring a unified approach to our customer journey
• Execute rigorous A/B tests using statistical methods to ensure every marketing experiment yields actionable and significant results
• Leverage AI-driven automation to streamline large dataset management and generate advanced reports, accelerating data mart operations and enhancing campaign insights

Responsibilities

• Demonstrate advanced technical expertise in SQL and Python to build complex data structures, moving beyond simple queries to developing scalable analytical environments
• Apply a deep understanding of statistical concepts like hypothesis testing and confidence intervals to validate the significance of campaign results and protect against data bias
• Use strong data storytelling skills to translate raw, multi-source data into interactive, easy-to-digest reports that drive executive-level decision-making
• Build strong working relationships across diverse teams, demonstrating cross-functional awareness to ensure data engineering efforts support broader marketing and product goals
• Manage the end-to-end lifecycle of campaign data within complex ecosystems, demonstrating a track record of data platform mastery
• Demonstrate AI Literacy by identifying opportunities to integrate and develop generative AI or automated scripting into data cleaning and visualization workflows to optimize resource efficiency

Requirements

• Bachelor’s Degree in Data Analytics, Data Science, or related quantitative field; Master’s Degree Preferred
• 1+ years of experience in Data Analytics or Data Science
• Advanced SQL (window functions, CTEs, and complex joins)
• Python for data cleaning and manipulation
• Data Visualization tools (Tableau, Databricks, Power BI)

Preferred: Proficiency in marketing analytics tools, A/B testing, and data science projects within marketing environments.

Visa sponsorship not available for this role.

Pay

Compensation: $95,000.00/Year - $110,000.00/Year

Benefits

• Flexible spending accounts
• HSA (Health Savings Account)
• 401(k) Plan with company match
• ESPP (Employee Stock Purchase Plan)
• Career opportunities
• Flexible time away plan