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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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You are a thoughtful observer who enjoys investigating business problems and building data solutions that address them. 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Weve got over 70 SAP awardsmore than any other partnerand were the leading business partner for SAP SuccessFactors, SAP Ariba, SAP Hybris, SAP FieldGlass, SAP Concur, and more. Lead onsite/offshore global team to deliver high-quality services of implementing planning tool SAP IBP to customers.
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Utilize geospatial data from Uber Freight's carrier network to understand carrier behavior and regional areas for improvement. Leverage location data by applying data science techniques and.
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Develop and implement data governance strategies for the CMDB to ensure data quality, integrity, and compliance with IT service management standards. Conduct regular audits of CMDB data to identify discrepancies, inaccuracies, or data quality issues, and develop corrective action plans.
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Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholdersFamiliarity with latest trends in data engineering and data management (APIs, data virtualization, stream data integration, augmented data integration.
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Further, the position will act as an interface and liaison to the Business Group for other Corporate Legal functions such as IP, Ethics & Compliance, Data Privacy, Contracting Center of Excellence and Litigation, the Geo Legal teams and Government Relations & Trade.
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Experience:Minimum of 3+ years in Analytics/Business Intelligence, leading projects, and building data solutions in a cloud environment. Here you will bridge the gap between business needs and technical solutions, driving impactful decisions with data models, tables, and dashboards.
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Manage the contact database by establishing programs around quarterly updates, enrichment, cleansing, deduplication, and segmentation to maintain data quality and integrity. CEO Zac Bookman (MPA from Harvard and JD from Yale) is truly a mission-driven CEO. He was named one of the 100 most Intriguing Entrepreneurs by Goldman Sachs, a Tech Pioneer by the World Economic Forum, and SF and Silicon Valley Business Times' 40 under 40 class of 2018.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Preparing and modeling data in SQL, Tableau, and/or Qlik; Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Participating in the assessment and improvement of business processes, including leveraging Cora, Primavera Unifier or other project technologies; and.
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business data quality jobs Company: Careerbuilder in Chicago, IL
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