4 of 4 Remote Analytics Manager Jobs in the North of England

TheDataAnalyticsManagerwillberesponsibleforleadinganddevelopingateamofBIprofessionalsanddatascientists.ThisincludesensuringthatrequestsareappropriatelyprioritizedandworkloadsefficientlymanagedacrossbothBIanddatasciencefunctions.Therolewilldrivethedevelopmentofaself-servedatamentalityacrossthebusinessandleadtheexecutionofadvancedanalyticsprojectsaddingsignificantvaluetothewiderbusiness. Theidealcandidatewillhavestrongleadership,communication,andstakeholdermanagementskills,aswellashands-onexpertiseinSQL,PowerBI,anddatasciencetoolssuchasPython Team&WorkloadManagement LinemanagementresponsibilitiesforateamofBIdevelopersanddatascientiststosupporttheMI,datainsights,andadvancedanalyticsneedsofthewiderbusiness. Supportteamdevelopmentthroughregular1-2-1s,performancereviews,identificationoftrainingrequirements,andcreatingasharedlearningsculture. Throughyourteam,providebusinesssupportacrossthecreationofreportingdatasets,BIreports,dashboards,andpredictiveanalyticsmodels. Prioritisingrequestsandmanagementofteamworkloads,balancingshort-termreportingneedswithlonger-termdatascienceinitiatives. Ensurealldeliverablesarecompletedwithintimelinesandtohigh-qualitystandards. DeliveringQualityOfService Ensureregularcommunicationwithstakeholderssotheyknowthestatusandprogressoftheirrequests. EnsureallBIanddatasciencedeliverablesareaccurate,actionable,andmeetbusinessrequirements. Implementqualitycontrolandpeer-reviewmeasurestopreventinconsistenciesacrossalloutputs. MaintainasinglesourceoftruthfordataandensureconsistencyacrossBIreportinganddatascienceoutputs. More ❯

Geospatial Analytics Manager Location: Leeds (Hybrid) Salary: £60,000–£70,000 + Bonus The Company A nationally recognised UK brand is hiring a Geospatial Analytics Manager to drive insight across its location strategy, network planning, and spatial customer analysis. With continued investment in data and analytics, this is a great opportunity to lead high-impact More ❯

Select how often (in days) to receive an alert: Data & Analytics Manager - Product and Supplier Management Location: Manchester, ENG, GB, M2 3AA Corby, ENG, GB, NN17 5JF Brand: RS Group Work Location: Hybrid Location: This is a hybrid role, offering a combination of being able to work remotely and from our Corby, or Manchester office. Overview of the … Role We're looking for an experienced Data & Analytics Manager to join our Product and Supplier Management (P&SM) team, to lead a new team of analysts and data specialists in the UK, at either our Corby or Manchester site. This role reports to the VP of Margin Optimization & Analytics and you'll lead the development and … decisions and drive operational excellence. What You Will Be Doing Leading a team of analysts and specialists to deliver impactful dashboards, tools, and insights. Developing and executing a comprehensive analytics strategy for the P&SM function. Embedding performance insights into business strategies and holding stakeholders accountable. Driving continuous improvement through advanced analytics, automation, and agile methodologies. Partnering with More ❯

Geospatial Insight & Analytics Manager Location: Leeds (Hybrid, 3 days per week in the office) Salary: £65,000 + £5,700 car allowance + 13.5% bonus The Company A nationally recognised retail and logistics business is looking for a Geospatial Insight & Analytics Manager to join their data function. The team plays a crucial role in using location … this role will lead high-impact projects across location planning, network design, and targeted marketing. The Role This is a rare opportunity to shape the future of how geospatial analytics supports core strategic decisions in a business that owns and operates hundreds of sites across the UK. You will manage one analyst and work closely with senior stakeholders across … driven insight Use spatial modelling to solve problems around store planning, network optimisation, and targeted customer engagement Identify whitespace opportunities based on demographics, mobility, and purchasing behaviour Advanced Geospatial Analytics Apply tools like Databricks, ArcGIS, SQL, and Python to build models, test hypotheses, and scale geospatial insight Integrate datasets like HST (High Street Trading), customer segmentation, and footfall into More ❯