1 to 25 of 28 Permanent SPSS Jobs in the UK

measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated mastery of statistical modeling and hypothesis testing Strong skill with R, Python, or similar languages Proficiency with SQL and data visualization tools (e.g., Tableau) Experience with survey sampling More ❯

in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with More ❯

skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in More ❯

skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in More ❯

skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in More ❯

quickly and under pressure to support our management teams You must have advanced Excel capabilities but additionally knowledge of the following software is an advantage: SQL, Power BI, Python, SPSS and R. You must be able to demonstrate effective communication and interpersonal skills Benefits of the role? 35 days holiday Flexi-time Employer pension contribution of 6% Various other benefits More ❯

data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics. Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc. Communicate analyses via compelling presentations. Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis. Prepare and More ❯

analysis, the ideal candidate should have experience in cleaning and transforming datasets for analysis. They should also be familiar with a range of tools including: Alteryx DataRobot SAS Databricks SPSS R Python Scala Java Spark In addition, exposure to data visualization platforms such as Tableau or Power BI would be beneficial. A solid understanding of machine learning concepts is also More ❯

PREFERRED QUALIFICATIONS - Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field - Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or More ❯

a range of statistical techniques. Proven experience of developing and writing health needs assessments, health equity audit and health impact assessments Experience of using appropriate analytical software (eg. Excel, SPSS etc) Experience of working with managers and staff to define management information needs Experience of delivering training Desirable Excellent knowledge of Microsoft Office, particularly Excel including the creation of complex More ❯

/testing tools (e.g. Google Analytics, Adobe Analytics & Target, Optimizely) Social analytics tools (e.g. Sysomos, Radian 6) Data visualisation tools (e.g. Qlikview, Tableau) Data analysis tools (e.g. SAS, SQL, SPSS, Faststats) Campaign Management tools (e.g. Adobe Campaign) We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid More ❯

to the benefit of our customers through the use of applied statistics. You must have advanced Excel capabilities but additionally knowledge of the following software is an advantage: SQL, SPSS Modeller, Python, R. You must be able to demonstrate effective communication and interpersonal skills Benefits of the role? 35 days holiday Flexi-time Employer pension contribution of 6% Various other More ❯

pipelines, with proficiency in cloud platforms (AWS, GCP, or Azure) and data warehousing solutions. Hands-on experience with data integration tools, ETL processes, and statistical analysis tools (e.g., SAS, SPSS, STATA, R, Matlab) or general programming. Familiarity with SQL for large-scale datasets; training provided if needed. Prior experience at an insights/analytics vendor, advertising agency, or ad sales More ❯

pipelines, with proficiency in cloud platforms (AWS, GCP, or Azure) and data warehousing solutions. Hands-on experience with data integration tools, ETL processes, and statistical analysis tools (e.g., SAS, SPSS, STATA, R, Matlab) or general programming. Familiarity with SQL for large-scale datasets; training provided if needed. Prior experience at an insights/analytics vendor, advertising agency, or ad sales More ❯

Excellent communication skills and a team-focused approach Bonus (not essential): Internship or experience in market research/analytics Knowledge of techniques like regression, segmentation, significance testing Exposure to SPSS, R, Q, Sawtooth, Displayr, or similar platforms Why Join? Vibrant team with great culture – monthly socials, poker nights, London drinks Flexible hybrid working – minimum 1 day/week in office More ❯

Excellent communication skills and a team-focused approach Bonus (not essential): Internship or experience in market research/analytics Knowledge of techniques like regression, segmentation, significance testing Exposure to SPSS, R, Q, Sawtooth, Displayr, or similar platforms Why Join? Vibrant team with great culture – monthly socials, poker nights, London drinks Flexible hybrid working – minimum 1 day/week in office More ❯

years of experience in data analytics or automation 2+ years of business analysis involving large, complex data sets Bachelor's degree Experience with data mining tools like SQL, SAS, SPSS, or similar Proficiency with Microsoft Office applications Experience working directly with business teams to utilize metrics and analyses for improvement opportunities PREFERRED QUALIFICATIONS Experience in e-commerce, retail, or advertising More ❯

and health settings, with a proven track record in a senior data or intelligence role Competent in use of IT and of data and statistical packages eg. Miquest, SQL, SPSS, R, or others, relevant to the analysis of large health data Excellent communication and partnership-building skills BENEFITS A generous annual leave entitlement of 31 days (rising to 36 days More ❯

Scientist Experience Required : - Strong Statistics/Maths/Econometrics Background - RDBMS/SQL experience - Strong Msc or PhD Background Any experience in the following is Nice to have : - SAS, SPSS, R Apply now for the Chief Data Scientist role More ❯

or above in Maths, Business, Accountancy & Finance or Economics Experience of querying databases (Ideally SQL). Knowledge of statistics and experience using statistical packages for analysing datasets (Ideally SPSS Modeller). Advanced Microsoft Excel experience Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Flexible and responsive More ❯

of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Knowledge of SQL and Excel at a moderate or advanced level Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

written narratives • Strong presentation skills specifically speaking about research methodologies and findings • Understanding of basic statistics • Demonstrated ability to collaborate effectively across internal teams • Proficiency in MS Excel, Word, SPSS, Tableau More ❯

written narratives • Strong presentation skills specifically speaking about research methodologies and findings • Understanding of basic statistics • Demonstrated ability to collaborate effectively across internal teams • Proficiency in MS Excel, Word, SPSS, Tableau More ❯

solution using computer tools Skills Must have a 2:1 or above in Maths/Physics/Engineering Have experience with or be able to pick up Python, R, SPSS Ability to work to tight deadlines Good written and oral communication skills Commitment to high standards of service delivery A professional approach and can-do attitude Please contact John Devlin More ❯

cross-functional teams An effective communicator Basic understanding of statistical concepts e.g. descriptive statistics, distributions, hypothesis testing, regression etc. Experience with data processing and analytics software such as Q, SPSS or Sawtooth is expected More ❯