support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯
software Experience designing and developing code using Java and JavaScript Experience developing CI/CD pipelines with GitHub and Git Actions Experience as a Mulesoft developer Experience as a SAS Viya Administrator Experience developing code in C# Preferred Skills: Proven ability to write well designed, testable, efficient code by using best software development practices Excellent oral and written communication More ❯
University of California Agriculture and Natural Resources
that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution. This position is a contract appointment that is 100% fixed, and ends three More ❯
etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯
to senior-level audiences. Coach direct and indirect reports on personal growth and analytical skills by conducting training on leading analytical tools and techniques including Hadoop, Hive, Python, R, SAS, Scala, Spark, Power BI and SQL. This position will require up to 10% travel within the U.S. to client sites and other EXL offices. Position may work at various More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Norton Rose Fulbright LLP
build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring More ❯
Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Proficiency in cloud platforms (AWS, Azure, GCP). Knowledge of CI/CD pipelines More ❯
American Express Travel Related Services Company, Inc
systems, including MS Excel spreadsheets and MS Access databases; data visualization tools, including MS Excel, Tableau, and Snowflake; and Agile methodologies, C++, ER-win, MySQL Server, Python, R, RDBMS, SAS, Scrum methodologies, and SQL. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $80,000.00 - $155,000.00 annually Any interested candidate More ❯
in key projects and initiatives. Qualifications and Skills: Skills Required: Extensive experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.). Programming proficiency in Python, SAS, or SQL (multiple languages advantageous). Advanced coding skills in R, Python, Java, or SQL System testing. Proficiency with testing capabilities within decision management platforms. Knowledge and understanding of More ❯
conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering (K-means, density, etc) • Experience using tools such as tools such as MATLAB, SAS, and InfoSphere • Experience with a combination of database tools and cloud components supporting ETL, such as: SQL, mySQL, and Data Lakes, AWS S3, IBM Cloud, and/or Microsoft More ❯
of education, training and experience in lieu of degree Req • Knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language • Good organizational, interpersonal, leadership and communication skills • Ability to effectively manage multiple tasks and projects • Excellent accuracy and attention to detail More ❯
Oracle/Cerner CPAM Billing and claims platforms: SSI Clearinghouse, 3M 360 Encompass (Institutional & Professional Coding), Alpha II Claim Scrubber, RevSpring Data analysis/reporting tools: Excel, Power BI, SAS, Tableau, HealtheAnalytics Reports and dashboards: HealtheAnalytics, Discern Reporting Portal, Lights On Network Subject matter expertise in one or more of the following RCM domains: Patient Accounting, Supply, PathNet, Business More ❯
quantitative/risk content " 8+ years of experience in related/relevant areas " Previous exposure to large projects involving technical IT considerations " Strong technical knowledge with any of these (SAS, SQL, Python, Tableau, BI Tools, Qlik Sense etc.) " Knowledge of banking wholesale credit risk " Proven ability to manage high volume data with embedded data quality procedures " Understanding of banking More ❯
or more programming languages such as JavaScript, Python, or R for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation. Familiarization with modeling software (eg. FME, SPSS, SAS) for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation. Demonstrated experience programmatically connecting to database and web-based data sources. Demonstrated knowledge and experience in data More ❯
all rule and model executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯
all rule and model executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯
rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯
rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯
rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯
rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯
digital transformation in R&D Basic technical fluency in data systems, APIs, or machine learning concepts Basic fluency in analytics/statistical methods and software including SQL, Python, R, SAS, etc. Experience conducting user research or usability testing in a regulated or complex domain Product managemen t experience Agile or continuous improvement experience MBA or consulting experience Why Choose More ❯
digital transformation in R&D Basic technical fluency in data systems, APIs, or machine learning concepts Basic fluency in analytics/statistical methods and software including SQL, Python, R, SAS, etc. Experience conducting user research or usability testing in a regulated or complex domain Product managemen t experience Agile or continuous improvement experience MBA or consulting experience Why Choose More ❯
culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization … using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. More ❯
culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization … using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. More ❯
