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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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Basic working knowledge of SQL, SAS, R, Python, or other computer language (Associate) Perform data analysis to solve business problems and drive better decisions. Develop complex programming to extract and manipulate data.
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1 or more years of prior experience as a Data Analyst / Data Scientist / Data Consultant / Data Engineer - MUST HAVE experience with multiple types of data related tools/technologies such as SQL, Excel, Tableau, PowerBI, R, Python, etc.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced skill in statistical methods/mathematical techniques and related analytical/data collection tools such as SAS, R, Python, SQL, JMP, etc. Experience with Quantitative Risk Management (QRM) or equivalent balance sheet management software preferred.
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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.
$117,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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I.e. R, Python, SAS, Excel, VBA, Alteryx, SQL) Agility, Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Strategy, Digital Marketing, Go-To-Market Strategy, Influencing Skills, Inspirational Leadership, Marketing Strategy, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Strategic Marketing.
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Requires a Bachelor’s degree in Analytics or a related field and 3 years of experience, including experience with Microsoft Power BI and Power Automate, Microsoft SSRS, SSIS, and SQL, Tableau, UI Path, and Python and R programming languages.
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Agile Development, including Scrum and Kanban Methods, Communication, Complex Problem Solving, Data/BI/Analytics Tools (e.g., SQL, Tableau, Qlik, Business Objects, Python, R, etc.
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Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
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Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Meta data management/Data Catalog: Informatica EDC.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Coding experience (Python, R, SQL) preferred. Utilize spreadsheet software and data analytics tools to analyze and interpret large datasets; Collaborate cross-functionally across Risk, Finance, and Treasury teams and maintain foundational knowledge of Treasury disciplines, inclusive of liquidity management, funds transfer pricing, and asset / liability management.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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r sql data management jobs Title: analytics consultant Company: Avetta in Holdrege, Nebraska
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