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for tax agents across multiple regimes, incorporating risk assessment and advanced data processing. You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program. Key Responsibilities Design, develop, and deploy data integration and transformation solutions using Pentaho , Denodo , Talend , and SAS … engineers and foster technical excellence. Ensure compliance with data quality, governance, and security standards. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend More ❯

for tax agents across multiple regimes, incorporating risk assessment and advanced data processing. You'll play a key role in designing and implementing ingestion and risking capabilities within the SAS Platform, including IDP, as part of a high-impact transformation program. Key Responsibilities Design, develop, and deploy data integration and transformation solutions using Pentaho , Denodo , Talend , and SAS … engineers and foster technical excellence. Ensure compliance with data quality, governance, and security standards. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend More ❯

Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting and analytics for CRM and ERP More ❯

and experience collaborating across architecture and business teams. Experience mentoring or leading small technical teams. Nice to Have Experience transitioning systems from vendor-managed to in-house. Familiarity with SAS or other data analytics products. Background in cash management or automated payment systems. If this role sounds like your next career move click "APPLY" OR Email More ❯

Informatica, Python, Snowpark, PySpark, DataFrames, storage formats (e.g. Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps Business Intelligence and analytics solutions such as Tableau, Power BI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g. Linear regression, variance analysis, modelling, and forecasting) AI/ML fundamental understanding of key concepts More ❯

Systems (MIS), or a related field, to include experience with data management tools such as Structured Query Language (SQL), Statistical Package for the Social Sciences (SPSS), Statistical Analysis System (SAS), or a related tool. Experience with complex data sets including manipulating, merging, restructuring, and analyzing large data sets. Experience working in a higher education environment, teaching or supervising, is More ❯

with stakeholders, explain complex concepts, and influence technical decisions. Certifications: AWS Certified Solutions Architect and/or TOGAF 9 or equivalent. Bonus Skills: Experience with Databricks, Snowflake, Palantir, Quantexa, SAS, AI/ML, GenAI, or work in regulated industries like the Public Sector. More ❯

MS Azure, Salesforce, Apex, Visualforce, Javascript, HTML, CSS, C/C++, Java, Oracle SQL, MS SQL Server, Visio, UML, Weblogic, Oracle, Hibernate, Maven, Tomcat, Solaris, AIX, Goldengate, Server Now, SAS, VBA, SQL, Python, R, Tableau, Power BI, Sharepoint and SPSS. Master of Business Administration, Finance, Computer Science, IS, IT or Engineering. Will accept a Bachelors degree plus five years More ❯

and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash More ❯

skills and experience:Strong SQL and hands-on experience with data modelling.Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).Experience with databases/data platforms (ideally Oracle or Cloudera).Knowledge of cloud platforms (ideally AWS).Good experience with programming/scripting languages (e.g. Python, Bash).Strong grasp of More ❯

and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash More ❯

and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash More ❯

Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯

requirements and mitigate operational risks. Experience in system integration. Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for Data Governance More ❯

data manipulation Understanding of statistics concepts (e.g., hypothesis testing, regression analysis) Thorough knowledge of MS Office Suite (i.e., Excel, Access, Word and PowerPoint) is necessary and familiarity SQL and SAS/Tableau or other coding language Minimum 3 years working experience in data analysis or statistical modeling. Basic understanding of data warehousing principles/architecture Experience in a Marketing More ❯

MS Azure, Salesforce, Apex, Visualforce, Javascript, HTML, CSS, C/C++, Java, Oracle SQL, MS SQL Server, Visio, UML, Weblogic, Oracle, Hibernate, Maven, Tomcat, Solaris, AIX, Goldengate, Server Now, SAS, VBA, SQL, Python, R, Tableau, Power BI, Sharepoint or SPSS. Master of Business Administration, Finance, Computer Science, IS, IT or Engineering. Will accept a Bachelors degree plus five years More ❯

problems, and evaluate methods and results; Utilize statistical techniques including clustering, regression, and time series analysis to improve forecasting systems; Perform data analysis, model building, and output testing using SAS, R, and Python; Utilize optimization techniques including linear programming, dynamic programming, and gradient descent to optimize revenue in the corporate network forecast; Present analysis and results to assist management More ❯

Science, Engineering or related field Knowledge of NCQA, CMS, and health plan quality measurement programs. Deep understanding of healthcare interoperability standards (e.g., HL7, FHIR, X12). Advanced in SQL, SAS and other data systems Expertise in data mining, forecasting, simulation, and/or predictive modeling Experience creating analytics solutions for various healthcare sectors Additional Information To ensure Home or More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯

statistical techniques and approaches used to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: Familiarity with Marketing Attribution and More ❯