Experienced Information Investigator – Advanced Data Analysis and Insights for careerzynith's Direct-to-Consumer Business
At careerzynith, we're at the forefront of innovation, pushing the boundaries of what's possible in the entertainment industry. As a leader in the Direct-to-Consumer (DTC) business, we're constantly seeking new ways to engage with our audience and drive growth. Our Information Investigation team plays a critical role in supporting the Disney Pack, including Hulu, Disney+, and ESPN+, in a single, unified platform. This drive is essential to the expansion of DTC's real-time features in the US.
**About careerzynith's Information Investigation Team**
Our team utilizes data, statistical modeling, experimentation, and various tools to help our business clients make informed, data-driven decisions. We're dedicated to better understanding Pack patterns supporters, and client behavior end-to-end by providing support across experimentation, analysis, and comprehensive reporting. In this role, the Information Investigator will collaborate with Marketing, Product, Data Science, Data Operations, and other teams to not only provide high-visibility insights on Pack growth, but also become a trusted thought partner to our colleagues, helping to shape procedures.
**Job Summary**
We're seeking an experienced Information Investigator to join our Pack Trial and Error and Examination group. As an Information Investigator, you will work closely with business leaders to identify the most pressing business challenges on Pack patterns and drivers, and develop insightful solutions to address these questions. You will also help create a continuous experiences pipeline, ensuring that all colleagues have a steady stream of Pack intel. If you have a passion for using large datasets to tackle complex business issues, we want to hear from you!
**Key Responsibilities**
* Collaborate intimately with business leaders to define the most pressing business challenges on Pack patterns and drivers and develop insightful solutions to address these questions
* Help create a continuous experiences pipeline, ensuring that all colleagues have a steady stream of Pack intel
* Perform comprehensive pattern analyses, assessing the contributions of drivers from every conceivable angle
* Define and investigate audience segments to drive Pack growth
* Cooperate with other Examination groups to understand and leverage all relevant Pack information from different sources, integrating insights into a cohesive, meaningful story
* Develop and maintain complex data models, statistical analyses, and data visualizations to support business decisions
* Communicate complex data insights and recommendations to both technical and non-technical stakeholders
**Essential Capabilities**
* Four-year college degree in Information Analysis, Mathematics, Data Science, or a related field of study, and/or equivalent work experience
* At least 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 linear and logistic regression, hypothesis testing, data preparation for modeling, and segmentation procedures
* Skill in managing large datasets, interpreting data 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 to organize findings into actionable recommendations
* Ability to think critically, analyze and interpret market and customer data
* Knowledge of creating, executing, and analyzing complex A/B/MVT test builds
**Preferred Capabilities**
* Experience in the streaming media industry or other membership-based services
* Experience working with Advertising teams or in the Marketing space
* Familiarity with careerzynith's products and services, including Hulu, Disney+, and ESPN+
**What We Offer**
* Competitive salary and benefits package
* Opportunities for professional growth and development in a dynamic and innovative company
* Collaborative and inclusive work environment
* Recognition and rewards for outstanding performance
* Flexible work arrangements, including remote work options
* Access to cutting-edge technology and tools
* Opportunities to work on high-impact projects and initiatives
* Collaborative and supportive team environment
**How to Apply**
If you're a motivated and analytical individual with a passion for using data to drive business decisions, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you!
Apply Now!
Apply for this job
**About careerzynith's Information Investigation Team**
Our team utilizes data, statistical modeling, experimentation, and various tools to help our business clients make informed, data-driven decisions. We're dedicated to better understanding Pack patterns supporters, and client behavior end-to-end by providing support across experimentation, analysis, and comprehensive reporting. In this role, the Information Investigator will collaborate with Marketing, Product, Data Science, Data Operations, and other teams to not only provide high-visibility insights on Pack growth, but also become a trusted thought partner to our colleagues, helping to shape procedures.
**Job Summary**
We're seeking an experienced Information Investigator to join our Pack Trial and Error and Examination group. As an Information Investigator, you will work closely with business leaders to identify the most pressing business challenges on Pack patterns and drivers, and develop insightful solutions to address these questions. You will also help create a continuous experiences pipeline, ensuring that all colleagues have a steady stream of Pack intel. If you have a passion for using large datasets to tackle complex business issues, we want to hear from you!
**Key Responsibilities**
* Collaborate intimately with business leaders to define the most pressing business challenges on Pack patterns and drivers and develop insightful solutions to address these questions
* Help create a continuous experiences pipeline, ensuring that all colleagues have a steady stream of Pack intel
* Perform comprehensive pattern analyses, assessing the contributions of drivers from every conceivable angle
* Define and investigate audience segments to drive Pack growth
* Cooperate with other Examination groups to understand and leverage all relevant Pack information from different sources, integrating insights into a cohesive, meaningful story
* Develop and maintain complex data models, statistical analyses, and data visualizations to support business decisions
* Communicate complex data insights and recommendations to both technical and non-technical stakeholders
**Essential Capabilities**
* Four-year college degree in Information Analysis, Mathematics, Data Science, or a related field of study, and/or equivalent work experience
* At least 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 linear and logistic regression, hypothesis testing, data preparation for modeling, and segmentation procedures
* Skill in managing large datasets, interpreting data 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 to organize findings into actionable recommendations
* Ability to think critically, analyze and interpret market and customer data
* Knowledge of creating, executing, and analyzing complex A/B/MVT test builds
**Preferred Capabilities**
* Experience in the streaming media industry or other membership-based services
* Experience working with Advertising teams or in the Marketing space
* Familiarity with careerzynith's products and services, including Hulu, Disney+, and ESPN+
**What We Offer**
* Competitive salary and benefits package
* Opportunities for professional growth and development in a dynamic and innovative company
* Collaborative and inclusive work environment
* Recognition and rewards for outstanding performance
* Flexible work arrangements, including remote work options
* Access to cutting-edge technology and tools
* Opportunities to work on high-impact projects and initiatives
* Collaborative and supportive team environment
**How to Apply**
If you're a motivated and analytical individual with a passion for using data to drive business decisions, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you!
Apply Now!
Apply for this job