MediaAlpha uses technology and data science to help businesses optimize their customer acquisition efforts.

Our customer acquisition solutions are designed to reach consumers shopping within high-consideration categories such as property & casualty insurance, health and life insurance, personal finance, travel, education and more. Whether you’re looking to generate demand or get the most from the shoppers that come to you, we can help you maximize the value of every consumer interaction.

We are looking for a Lead Analyst on the Analytics Team who will provide analytical support to multiple business units across the company. This individual contributor role will manage priorities and lead initiatives for the analytics team that tie into the company’s strategic goals. Core responsibilities include managing advertiser performance and optimizations, preparing, interpreting, and streamlining reporting, and creating and reviewing key performance indicators (KPIs) to provide strategic guidance across various business units.

Hybrid Schedule: in office Wednesdays

Responsibilities

• Establish, implement, and iterate on advertiser campaign optimization best practices
• Be a trusted expert across our business units to find opportunities to maximize revenue and profitability
• Master the MediaAlpha platform’s tools and data
• Help clients strategize, build, and execute campaigns and measure results
• Provide consultative and strategic guidance for internal teams and clients
• Build templates, tools, and dashboards to improve team efficiency and efficacy of analysis
• Lead special cross-functional projects

Requirements

• Strong analytical ability and experience synthesizing large and disparate data sets
• Capacity to think critically and creatively, uncover problems, and propose solutions
• Excellent written and verbal communication skills
• Self-starter who takes initiative on all projects and strives to build and improve upon existing processes
• Experience leading cross-functional projects and working with tech/engineering teams
• Experience creating executive-level presentations
• Proven track record of training and mentoring analysts
• Strong Excel proficiency (pivot tables, vlookups, data manipulation)
• Experience applying statistical techniques to real-world business problems (designing tests/experiments and evaluating results)
• Strong SQL skills
• Experience leveraging programming skills (Python, R, etc.) to build dashboards, automate reporting, build predictive models, and apply data analysis techniques at scale on huge datasets
• 6+ years of work experience in a Data Analysis or similar role
• Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or commensurate experience

Preferred Qualifications

• Experience with search, display, performance, and/or direct marketing
• Experience with R Shiny and Shiny Server
• Experience with Airflow