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Fluency in MS Excel and common programming / query languages such as SQL, Python, R Proficiency in principles and methods of data management, i.e., ETL, data validation, data mining Experience in deriving insights from large data sets to support consequential decision-making Expertise in building predictive models to support various use cases—notably, Media Mix Modeling.
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This includes all aspects of data creation, data cleansing, metadata creation, data integration, data warehousing, Extract, transform and load (ETL), business intelligence (BI), data migration, and data enrichment.
$75,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Or Bachelor’s degree in Computer Science, Mechanical Engineering, Electrical Engineering or related degree and seven years of experience in any occupation in Data warehouse methodology or concepts.
$118,000 - $123,970 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical expert in SQL, ETL processes, Tableau, Snowflake, and/or other relational databases or data visualization tools. They will identify, prioritize, and advocate for data requirements that continuously improve the data, working collaboratively with many teams across the organization on implementation like data discovery, data architecture, data operations, data science, product management, growth and more.
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You will leverage workflow scheduling applications and data ingestion infrastructure that powers the analytics and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Requires a bachelors computer science, computer engineering, computer information systems, and or related field and 6+ years experience ETL, Ruby, Python, and Java Big data distributed systems, understanding of SQL and NoSql data stores orchestration tools and processes or other directly related experience.
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Creates and delivers AI algorithms to drive operational improvements, automate tasks, augment human performance, provide predictive analytics, risk scoring and surveillance solutions using large datasets and an array of advanced data science technology.
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10+ years of data engineering, business intelligence, data modeling, building ETL pipelines and multi-dimensional data warehouse. BA/BS or Master’s in Computer Science, Computer Engineering, Information Science or Data Science/Statistics.
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We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Experience interacting with database environments (SQL and MS) Experience with Salesforce.com Experience with Programing (XML or ETL) Understanding of HIPAA regulation’s and industry standard knowledge.
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Other Requirements: Experience must include one (1) year use of all the following: MS Project, KPI tracking, Power BI, Advanced Excel, SQL, MS Dynamics, ETL, Python and Data Analytics. Education: Master Degree – Data Science, Project Management, Management Information Systems, or in a related field of study (will accept equivalent foreign degree.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Manage complex ETL and ELT processes which deliver data to various groups within the organization on a daily, weekly, monthly, and annual basis. Experience with nested parent-child package configurations, config files, expressions, and a wide variety of data sources (flat files, spreadsheets, databases, APIs, etc.
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Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, ETL, ESB.
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Practices leadership and communication skills to influence teams and to evangelize data science across the organization. Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with a data warehouse like Redshift, Snowflake, or Databricks. Experience with business intelligence tools like Lightdash, PowerBI, Tableau, or Looker for data visualization and reporting is a plus.
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Hands-on experience with AWS and/or Azure cloud platforms, including Redshift data warehouses and ETL pipelines. 5+ years of recent professional experience in database architecture, engineering, data analysis, data mining, and/or data science.
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