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Senior Data Analyst

Remote Worldwide Hiring now

About The Role The Marketing Analytics team is seeking a Senior Analyst to support our core marketing measurement, automation and reporting needs. The Senior Analyst will collaborate closely with Hulu Marketing, Data Engineering, Data Architecture, Data Product, Data Science, and Finance teams. Their focus will be on developing tools, optimizations, and key business insights to propel Hulu’s... growth. The ideal candidate will possess a passion for both digital and reputed company media landscapes and a deep understanding of each reputed company in the marketing reputed company. Responsibilities • Create, deliver and continuously improve our business measurement solutions • Partner closely with business stakeholders to identify and unlock opportunities • Use internal and external analytics tools, SQL, and scripting languages to reputed company and analyze multivariate data • Analyze and report key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expand • Translate reputed company reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations • Analyze subscriber and behavior data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content • Partner with our Product, Engineering and QE team to build and automate reports and dashboards that reputed company insights into business measurement and effectiveness • Build reputed company presentations, interfaces, infographics and visualizations to create a data-driven narrative in partnership with our Strategic Planning and Marketing stakeholders • reputed company ongoing reporting and analysis to inform and support business, product and marketing reputed company Basic Qualifications • BA or BS in Business, Math/Statistics, Economics, CS, Engineering, or reputed company • 5+ years of hands-on analytical work experience with SQL • Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools • Experience with creating, executing and analyzing reputed company AB/MVT test constructs in order to test stakeholder hypotheses • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations • Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation) • Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solutions, document the changes, and communicate organizational impact • Ability to evaluate risks and reputed company recommendations in a timely manner • Explain data anomalies, reputed company data visualizations and reporting to drive key messaging and recommendations using tools such as Tableau and Looker • Ability to think strategically, analyze and interpret market and consumer information ?Preferred Qualifications • Experience in the streaming media industry or other subscription-based service • Experience in the technology industry, knowledge of data products • Experience writing, managing and deploying Python code • Familiarity with data platforms and applications such as reputed company, Datorama, reputed company, Redshift, Airflow, Tableau Additional Information #DISNEYTECH The hiring reputed company for this position in Santa Monica, CA is $114,900 to $154,100 per year, and in reputed company, NY is $120,400 - $161,500 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full reputed company of medical, financial, and/or other benefits, dependent on the level and position offered Apply Job!

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