9 of 9 SPSS Jobs in England

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 (temporary) - a More ❯

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 (temporary) - a More ❯

finding highly qualified staff in the following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE’s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA’s PM’s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit More ❯

or a related field Experience working with Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Data/Statistical analysis experience (e.g. R or SPSS) Programming experience beyond simple 'selects' (e.g. SQL, Python, Java) Excellent communication and presentation skills for client-facing interactions High attention to detail and good organisational skills Strong analytical skills able More ❯

organise and present numerical data. This experience can come from some commercial experience or academically, such as statistical/data experience from a numerical degree. Any SAS, Microstrategy or SPSS experience would be a bonus but not essential. The main criterion is that you have an analytical mind, be proficient in Excel and have excellent communication skills. You should be More ❯

organise and present numerical data. This experience can come from some commercial experience or academically, such as statistical/data experience from a numerical degree. Any SAS, Microstrategy or SPSS experience would be a bonus but not essential. The main criterion is that you have an analytical mind, be proficient in Excel and have excellent communication skills. You should be More ❯

database and model design and segmentation techniques Proven success in a collaborative, team-oriented environment Practical experience in statistical analysis through the use of statistical packages, including Excel, PowerBI, SPSS, and SAS Strong programming experience with frameworks, including XML, JavaScript, and ETL Experience of managing Microsoft Fabric data analytics platform Minimum of three years' experience mining data as a Data More ❯

and errors. Strong technical skills in database and spreadsheet development for data extraction, manipulation and reporting. Intermediate to advanced proficiency in programming in statistical packages such as SAS or SPSS ; Intermediate to advanced skills with desktop database, spreadsheet, word-processing and presentation software applications. Demonstrated strong attention to details and ability to work in a fast-paced, team environment and More ❯

end quantitative research projects. Strong client management and presentation skills, with confidence at senior levels. Excellent storytelling and proposal writing ability. Proficiency with Q or similar analysis tools (e.g., SPSS, R, Excel-based). Ability to balance tactical and strategic work in a fast-moving environment. Commercial awareness and a proactive, hands-on approach. It's a bonus if you More ❯