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 ❯
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 ❯
Diss, Norfolk, England, United Kingdom Hybrid / WFH Options
Michelle Denny Recruitment
and able to manage time across multiple tasks Able to work both independently and collaboratively Desirable Extras Familiar with Azure, Python, PowerShell, SharePoint Exposure to statistical tools (e.g. R, SPSS) Insurance sector or financial services background Understanding of project management methodology What You'll Get Up to a negotiable £45,000, depending on experience Hybrid working: 3 days in-office 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 ❯
with data analysis. Detailed knowledge of statistical techniques and research methodologies. Experience in presenting data and providing insights via interactive dashboards or presentations. Experience with R/Python/SPSS or SQL. Confidence in building relations with internal and external stakeholders, with the ability to communicate complex data capability in a simple way. Excellent knowledge of analytical tools, including Microsoft More ❯
with data analysis. Detailed knowledge of statistical techniques and research methodologies. Experience in presenting data and providing insights via interactive dashboards or presentations. Experience with R/Python/SPSS or SQL. Confidence in building relations with internal and external stakeholders, with the ability to communicate complex data capability in a simple way. Excellent knowledge of analytical tools, including Microsoft More ❯
Measurement Solutions : Adelaide, Lumen, IAS, DoubleVerify, etc Additional Third-Party Measurement Solutions :Location measurement partners (i.e.FourSquare,PlaceIQ,Cuebiq),Sales (Visa/Mastercard,Oracle, IRI/NCS) Familiarity with :SQL, SPSS, R, Python a plus Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work 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 ❯
qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience in research-based analytics/statistical project support role Proficient Analytics Toolkit: R, SPSS, Excel, Git, Python, SQL, Postgres & cloud computing expertise desirable. Consistently able to apply a range of research methods and demonstrate honed analytics skills Strong communication skills and interpersonal skills Solid More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
MTM London
in a data analytics function e.g. as a data analyst/scientist, running advanced quantitative analyses (regression, segmentation etc.) Proven experience in advanced analytics, particularly with survey data (e.g., SPSS, R, Q) Proficiency in programming languages supporting data science solutions (e.g., Python, SQL, LLM) Familiarity with various data sources beyond survey data, such as behavioural analytics or 1st party data 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 ❯
iSpot, etc. Strong stakeholder management A deep understanding of attribution modeling, market mix modeling, multi-variate testing, brand and conversion lift Experience with any of the following: SQL,R, SPSS/STATA, Tableau A strong understanding of the digital advertising and measurement ecosystem Experience with ads measurement for one or more of the following verticals: technology, retail, entertainment, restaurants, travel More ❯
Wokingham, Berkshire, South East, United Kingdom Hybrid / WFH Options
AWD Online
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 ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Ruby Magpie
behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An More ❯
or HR tech environments Leverage expertise in employee survey platforms such as Qualtrics, Glint, Culture Amp, Peakon, or Medallia Apply statistical techniques (e.g., regression, factor analysis) using tools like SPSS, R, Python, or Excel Communicate insights clearly to non-technical audiences and influence executive stakeholders with confidence Showcase high emotional intelligence and empathy when interpreting and delivering sensitive feedback Excel More ❯
opportunity Prior exposure to sectors such as CPG, Retail, Tech, Media, Financial Services, or Travel & Leisure preferred Strong Excel and PowerPoint skills; experience with data tools (e.g., Alteryx, Tableau, SPSS, Q, R) is a plus Bachelor's Degree required (advanced degree preferred) Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholder while working in 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 ❯
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 ❯
bring consumer behaviour stories to life through your work Experience using syndicated survey tools or questionnaire design Knowledge and application of analytics tools such as survey cross-tabbing tools, SPSS or R. Experience or knowledge of qualitative research methods Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help More ❯
SE1, Chaucer, Greater London, United Kingdom Hybrid / WFH Options
Naden Blair
in a client-facing quantitative research role Knowledge of a range of quantitative survey techniques (e.g. MaxDiff, conjoint, segmentation, etc.) Analytics and cross-tab tool experience such as Q, SPSS, etc. Excellent communication skills A proven account leader and highly driven individual A passion for tech/SaaS platforms A desire to dive into the deep end; comfortable with taking More ❯
confident with the desire and potential to take on line management responsibility in the future. High level of numeracy and adept user of Word, Excel, PowerPoint with knowledge of SPSS or similar More ❯
expertise! In this role, you'll play a vital part in formulating mathematical approaches to solve complex business problems, gathering and preparing data, and utilizing predictive analytics tools like SPSS to draw conclusions and present findings. Responsibilities : Formulate mathematical approaches to address complex business problems. Gather and prepare data for advanced analytics projects. Perform statistical analysis, data collection, data mining … and text mining. Design, build, and manage solutions for advanced analytics projects. Utilize predictive analytics tools (SPSS) to draw conclusions and present findings. Required education None Preferred education Bachelor's Degree Required technical and professional expertise Familiarity with data engineering principles and advanced analytics techniques. As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for More ❯