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Job Title: Data Manager (Dashboards & Quantitative Data)Job Type: Full-time contract (3-6 months, outside IR35)Location: Remote (UK-based only)Education: Master's degree (or equivalent)About ThemA global market research and consulting agency specialising in the pharmaceutical and life sciences industries. Their team spans multiple continents, delivering insights to help clients make informed decisions.About the RoleMy client is looking for a Data Manager to support a Brand Equity tracking project. You will manage and develop custom data dashboards, working with software development teams to ensure accuracy and smooth communication between technical and non-technical staff.Key ResponsibilitiesManage dashboard development using Jira, ensuring timelines are metReview dashboards and source data for errors in ExcelWork with Data Collection & Processing teams to format data correctlyRespond to statistical queries, including sample design and database structureSupport senior researchers in client-facing activitiesAbout YouEssential Skills & Experience:Experience in market research with quantitative data from online surveysPharmaceutical or related industry experience.Proficiency in MS Excel (pivot tables, h-/v-lookups), SQLKnowledge of data dashboard tools (Power BI or custom-built solutions)Ability to translate technical requirements between developers and research teamsExperience with data warehousing processesFamiliarity with project management tools (Jira, Azure)Nice to Have:Experience in user-testing dashboard UXExposure to advanced analytics (e.g., conjoint analysis, MaxDiff, TURF)Knowledge of VBA, SPSS, R, Q, or Python for data analysis Desired Skills and ExperienceSkills:Data ManagementMarket ResearchQuantitative Data AnalysisSQLMicrosoft Excel (Pivot Tables, VLOOKUP, HLOOKUP)Power BIData WarehousingJiraAzureDashboard DevelopmentStatistical AnalysisSurvey Data ProcessingCommunication SkillsExperience:Managing and developing dashboards for market research dataWorking with quantitative data from online surveysUsing SQL and Excel for data processingCoordinating between technical and non-technical teamsUsing Jira or Azure for project managementSupporting statistical and analytical needs in research projects