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O Analytics Platforms (Databricks, Azure, etc.) As a Commercial Analytics Senior Manager, aligned to Technology, Media & Entertainment, Telecommunications (TMT), you'll be right at the heart of the action.
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Experience with Microsoft Power Query, Databricks, or SQL for data engineering. Analyze and process data, while creating and maintaining models and report templates and developing dynamic, data-driven solutions using data engineering tools like Databricks or low-code-no-code applications, including Microsoft Power Apps, Automate, and Dataverse.
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2+ years in Bigdata tools, like Databricks, Spark. 2+ years in Bigdata tools, like Databricks, Spark. As part of the Optum Insight Payment Integrity Decision Intelligence team, you will provide Analytic Application development and support for Optum Payment Integrity.
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Technology, Media & Entertainment, Telecommunications (TMT) /consulting experience with a focus on topline or operational analysis is strongly preferred. A bachelor's degree with a minimum of 7 years of consulting experience and at least 4 years of experience in developing and implementing advanced analytics solutions tailored to the Technology, Media & Entertainment, Telecommunications (TMT) industry.
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O Data Visualization (PowerBI, Tableau, Spotfire, etc.) Strategy and Transactions - Commercial Analytics Senior Manager - TMT. o Data Management (Alteryx, Hadoop, SQL, etc.) o Statistical Packages (SPSS, Minitab, etc.
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Bachelor's degree or 3+ years of related work experience in SQL writing and creating queries (ORACLE, Microsoft SQL Server, Netezza, Databricks) Become a part of our caring community and help us put health first.
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Proficiency in R, SQL, Python, AWS, Databricks, and Microsoft Office. Proficiency in R, SQL, Python, AWS, Databricks, and Microsoft Office. Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave.
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Build and optimize data pipelines to extract data from various sources, transform it into the required format, and load using Databricks and AWS services. Required Education, Experience, & Skills Bachelor's degree in Engineering, Computer Science, or other related analytical, scientific, or technical discipline At least 6 years' experience with ETL Strong proficiency in programming languages such as Scala, or Java. Experience in designing and developing ETL workflows using tools like Apache Spark or AWS Glue. In-depth knowledge of ETL best practices, data integration techniques, and data quality management.
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WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company.
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Commercial Analytics provides business, financial and accounting due diligence services in connection with mergers and acquisitions (M&A), divestitures, carve-outs and other transformational events by leveraging data in an increasingly complex world.
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The opportunity As a Commercial Analytics Senior Manager, aligned to Technology, Media & Entertainment, Telecommunications (TMT), you'll be right at the heart of the action. To qualify for the role you must have · Technology, Media & Entertainment, Telecommunications (TMT) /consulting experience with a focus on topline or operational analysis is strongly preferred.
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Perform research, data collection, quality assurance, analysis and problem solving (Python, SQL, Informatica DQ, Unity Catalog in Databricks,Triage & remediate data quality, Data integrity or data management issues.
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Databricks is looking for an excellent Senior Tax Manager - Global Reporting to join our Finance organization in our mission to help data teams solve the world's toughest problems. Prepare multi-year forecasted tax provision, including Pillar 2, to support financial planning and analysis and budgeting.
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Degree in finance, accounting, analytics, operations research, statistics, mathematics, or related data science or finance / economics with relevant work experience. o Programming languages (Python, R, etc.
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The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The Encounter Data Management Professional develops business processes to ensure successful submission and reconciliation of encounter submissions to Medicaid/Medicare.
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