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Comprehensive knowledge of data visualization tools such as Tableau or Power BI. As the Head of Data & Analytics, you will be responsible for the definition and implementation of the data strategy and the leadership of an enterprise-wide data organization to continue to shift the culture of Chatham to embrace data as a strategic advantage for the organization.
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Experience with data extraction, manipulation, and blending across different data sources (Google Analytics, DoubleClick for Publishers, SQL Server, Snowflake, AWS, Salesforce, flat files, etc.
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Bachelor’s degree in Business Analytics, Data Analytics, or Business Management and Analysis, or three (3) or more years of Business Analyst or Warehouse/Inventory Analyst experience.
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Functionally competent on multiple software systems including sales systems, data architecture, data processing, data analytics, SQL Management Studio Tableau, PowerBI, Analysis for Office, PowerPivot, Snowflake, SAP Hana, and Alteryx.
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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
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While data aggregation and automation is available for dashboarding, regular work within platforms like Google Ads, BingAds, Google Analytics, Adobe Analytics, Meta is required for reporting and optimization purposes.
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Additional Courses or Specializations: Candidates with additional courses or specializations in areas like data modeling, data analytics, and cloud computing can be particularly valuable for the development of Konexis, which involves handling large data sets and leveraging cloud-based technologies.
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Very comfortable working in the weeds with data using tools such as Microsoft Excel, SQL, Google Analytics, Looker/Looker Studio, Google Tag Manager, and other common reporting platforms.
$130,000 - $210,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Ability to operate, use, and interpret data from a wide variety of equipment to perform anesthesia care as well as necessary perioperative or operating room care to support the safety and wellbeing of the patient while they are under the direct care of the CRNA.
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Map data ©2023 Google Terms of Use Get Directions View On Larger Map Firm/Practice Name Bell Davis & Pitt, P.A.: Marc Gustafson - Employment Attorney and Mediator Phone Number Show Phone Number Location 227 W Trade St.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with market risk, credit risk (underwriting, CECL loss reserving, portfolio management), operational risk measurement, and stress testing methodologies / quantitative analytics. Familiarity with market risk, credit risk (underwriting, CECL loss reserving, portfolio management), operational risk measurement, and stress testing methodologies / quantitative analytics.
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