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The ideal candidate is highly motivated, a team player, a confident business partner, capable of driving action cross-functionally, analytical, and outstanding at FP&A. This person is comfortable operating at all levels, with eye on the strategic big picture, while skillfully managing the financial details.
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Strong analytical skills, with demonstrated intellectual and analytical rigor (previous experience handling data analysis via Microsoft Excel, Tableau/Power BI, and/or direct querying big data via SQL, python, etc.
$271,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll join the team that improves user engagement and revenue generation by leveraging machine learning, cloud platforms, and big data to combat fraud, improve member experience, create user recommendations, and much more.
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Ninja-like analytics and excel skills: You know what questions to ask, what the data says, and what actions to take based upon the results. SFDC expertise is a big asset. Ability and desire to cover the range of activities from C-level presentations to hands-on, data deep-dives.
$204,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelines.
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
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Exposure to big data platforms – Snowflake, Redshift, Azure, Matillion, Alteryx, DBT, etc. Good familiarity with the principles of data science and data engineering. Advanced data analysis skills – e.g., database query construction, data warehousing, forecasting, data mining and experience in business analysis.
$200,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have familiarity with the real world data and evidence space, have worked in the rare disease space, and have sold into both early stage biotechs and big pharma across R&D, clinical development, medical affairs and post-marketing teams.
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Job Description Your Career We're looking for a resourceful Data Scientist to join a growing Product Analytics team at Xpanse, the latest addition to Palo Alto Networks Cortex. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo.
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Proficiency in programming languages like Python, SQL, and working with big data tools like Spark and Hadoop. Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques.
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Lead through influence across levels, teams, and time zones to get big things done with key partners such as Finance, Sales, Services, BizTech, Data, Deal Desk, and more. Drive CS’s technical innovation roadmap with cross-functional partners in BizTech & Data.
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The ideal candidate will have a foundation in transaction services and/or audit with a Big 4 public accounting firm and be interested in analysis, deals and due diligence. The firm performs due diligence and accounting, data analysis and balance sheet investigations for their clients, which cover a broad range of private equity funds, private investors, lenders and corporate clients.
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Over the years, we have built products on Business Intelligence & Big Data platform simplifying and transforming the way business intelligence and real-time data analytics empower Corporations and end users using Software like Tableau, Business Objects, MicroStrategy, etc.
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Experience with big data technologies & tools like Spark, Databricks, EMR. Experience with graph-based data workflows such as Apache Airflow, Meson. Implement asynchronous processes to run in the cloud for various data transformation operations.
$191,100 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Compute Fabric: Build the resource management infrastructure powering all big data and machine learning workloads. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago
big data jobs in San Francisco, GA, Us
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