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Provide leading edge Category Management solutions, using and understanding IRI and Nielsen syndicated scanning data, Household Panel, market demographic data, customer point-of-sale, loyalty data, and systems used to produce the information for Category reviews.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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You should have a strong background with a variety of SaaS measurement platforms and data visualization tools like Adobe Analytics, Google Analytics, Tableau, Comscore, and Nielsen, and understands how to use these tools to perform analyses and reporting as well as how to implement and configure the tags and SDKs that power them.
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The Disney Direct-To-Consumer (DTC) Sports Analytics team is looking for a Data Analyst who will help to measure, understand, and take action on key rights deals and audience behavior that impacts the sports portfolio of The Walt Disney Company.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
$102,500 - $137,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks & Spark, AWS Data technologies, Airflow, Delta Lake, DBT, etc. Design, implement and operate the enterprise data model and enterprise data warehouse for Riot Games, globally.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Experience working with Python/R in bioinformatics data analysis, SQL data management, and data visualization tools such as Power BI or Tableau. Experience in designing, building assays and analyzing data using multiple molecular biological platforms, e.g. qPCR, dPCR, Illumina Miseq, Oxford Nanopore.
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One of our founders, Karthik, was a Dragon flight software lead responsible for two Dragon missions to the ISS. His team used SpaceX’s end-to-end data platform before, during, and after every Dragon mission.
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Familiarity with analyzing power system data from the National Renewable Energy Laboratory (NREL), Energy Information Administration (EIA), Environmental Protection Agency (EPA), including electricity demand data, power plant characteristics, transmission line data, renewable energy modeling and credits, and emissions/fuel pricing.
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As the Data I/O Supervisor you will be joining an innovative generative AI startup changing the future of filmmaking. The Data I/O Supervisor will report to the Senior Director of Production Pipeline -in Santa Monica LA. The Data I/O Supervisor will be responsible for deliverables in complex projects around the production and delivery of localization and foreign language dubbing solutions across feature films, episodic series, and commercial content.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Develop and maintain core business logic, data pipelines, and key metrics for measuring health of the billing, payment, and fraud products across Disney+, Hulu, and ESPN.
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Work From Home, Entry Level Data Entry Clerk As A Research Participant. Data entry skills. This is a remote work from home part time gig, you'll need a computer, laptop or mobile device.
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The ideal candidate will have strong background with entertainment KPIs, market intelligence, research strategy, data management, and business intelligence, with a proven track record of building impactful dashboards and developing analytic solutions and predictive models.
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Preferred QualificationsPrior experience in the streaming media industry or knowledge of data and Video on Demand (VOD) and subscription-based services (SVOD) is preferred. Strong experience in detailing the data requirements, data strategy, data rules (standardization, cleanse, and validation.
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market data jobs Title: officer watch Company: Leidos in Santa Monica, CA
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