Experienced Information Investigator – Advanced Data Analysis and Insights for blithequark's Direct-to-Consumer Business

At blithequark, we're revolutionizing the way we understand and engage with our customers through data-driven insights. As a key member of our Pack Trial and Error and Examination group, you'll play a vital role in supporting the growth of our Direct-to-Consumer (DTC) business, which encompasses bolthires, bolthires+, and ESPN+ in a single, unified platform. This is a critical initiative that will drive the expansion of our real-time features in the US. Our team leverages data, analytics, and experimentation to empower our business clients with informed, data-driven decisions.We're committed to gaining a deeper understanding of Pack patterns, supporters, and customer behavior end-to-end by providing support across experimentation, analysis, and comprehensive reporting. As an Information Investigator, you'll collaborate with Marketing, Product, Data Science, Data Operations, and other groups to not only provide high-visibility insights on Pack growth but also become a trusted thought partner to our colleagues, helping shape procedures and drive business outcomes. We're seeking an individual with a passion for harnessing large datasets to tackle complex business challenges.If you're a data enthusiast with a knack for storytelling and a drive to make a meaningful impact, we want to hear from you! Key Responsibilities:* Partner closely with business leaders to identify the most pressing business challenges related to Pack patterns and drivers, and develop insightful solutions to address these questions* Help create a continuous experiences pipeline, ensuring that all colleagues have access to a steady stream of Pack intel* Conduct comprehensive pattern analyses, assessing the contributions of drivers from every conceivable angle* Define and investigate audience segments to drive Pack growth* Collaborate with other Examination groups to gather and integrate Pack data from various sources, weaving insights into a cohesive, compelling narrative* Develop and maintain relationships with key stakeholders across the organization to ensure seamless communication and collaborationEssential Capabilities:* Bachelor's degree in Data Analysis, Mathematics, Data Science, or a related field of study, along with relevant work experience* Minimum of 3 years of hands-on analytical work experience with R/Python/SAS (or another statistical analysis tool) and SQL* Knowledge of statistical modeling, AI, and other quantitative methodologies, including but not limited to regression analysis, hypothesis testing, data preparation for modeling, and segmentation techniques* Ability to manage and interpret large datasets, deciphering patterns and utilizing a variety of data sources and tools* Experience with data visualization tools like Tableau, Looker, etc.* Demonstrated analytical skills, with the ability to apply business acumen to data analysis and recommendations* Excellent communication skills, including the ability to tell a story with data and organize findings into actionable proposals* Capacity to think critically, analyze and interpret market and customer data* Familiarity with creating, executing, and analyzing complex A/B/MVT test buildsPreferred Capabilities:* Experience in the streaming media industry or other membership-based services* Experience working with Advertising teams or in the Marketing space* Familiarity with data management platforms like Snowflake, Redshift, etc.What We Offer:* A dynamic and collaborative work environment that fosters innovation and growth* Opportunities for professional development and career advancement in a rapidly evolving industry* A comprehensive benefits package, including medical, dental, and vision coverage, as well as 401(k) matching and paid time off* A competitive salary and bonus structure, with opportunities for performance-based incentives* A flexible and remote-friendly work arrangement, with the option to work from home or our officesIf you're a motivated and detail-oriented individual with a passion for data analysis and storytelling, we encourage you to apply for this exciting opportunity.Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience. We can't wait to hear from you! [](