Data Asset Manager in London

Data Asset Manager in London

London Full-Time 40000 - 50000 £ / year (est.) No working from home possible
All The Top Bananas

At a Glance

  • Tasks: Lead the Asset Data Team and drive strategic asset management initiatives.
  • Company: Join a forward-thinking organisation focused on community and asset improvement.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement and team performance.
  • Why this job: Make a real difference in housing and community services while developing your leadership skills.
  • Qualifications: Degree-level education and experience in asset management or related fields.

The predicted salary is between 40000 - 50000 £ per year.

  • Purposeof
  • Job: Asset Data Manager Toberesponsibleto Headof Strategic Asset

Managementfor: Tobeaccountableforprovidingleadershipanddirectionforthe Asset Data Team.

Toleadonassetdatamattersfor R&Isectionandfacilitateexcellentandcustomerfocusedservicetoresidents.

Toensureappropriateuseof RBGs30-yearplan, distillinginformationintofiveyearannualinvestmentplans Toleadondevelopingafive-yearinvestmentplanalignedwithappropriatedatawhichreflecttheneedsofthestockandthestrategicobjectivesof RBG.

Analysetrendsinresponsiverepairsandvoidstoreducedemandandimproveefficiency Toworkcloselywithkeystakeholders, including Residents Groups, Membersandkeypartnersandmanagecustomerexpectationseffectively.

Todeputiseforthe Headof Strategic Asset Managementasrequired.

Managesupto2directlymanagedstaffonly.

Managesconsultantsandcontractors Main

Duties: Asset Data Manager Undertakeholisticanalysistounderstandtheperformanceofthestockandintroduceappropriateactionplansofinterventionordisinvestmentinnon-performingassetstoensurelong-termviabilityof RBGpropertyportfolio.

Workflexiblywiththe Repairsand Investment Senior Management Teamandacross Housingand Safer Communities, toprovideeffectiveleadershipandmanagementthatwillcontributetothecontinuousimprovementoftheserviceandthedirectorate.

Liaisewithcolleaguesin Repairsand Investment, other Housingand Councildepartmentstoensureeffectiveplanninganddeliveryofcapitalworks Programmes.

Provideanalysisofdatatomakebestuseofproperties, individualstockviabilityandlanduseoptions Ensurestockconditioninformationismaintainedforallassetsandlinksintoresponsive, cyclicalandprogrammedmaintenancerecordstoidentifycurrentconditionandfuturerequirements.

Manageandleadstafftoachievehighperformanceandeffectiveoperationaldelivery, includingdevelopingandimprovingstaffcapacityandcapability.

Manageresourceswell, developingaclearunderstandingoftherelationshipbetweencapitaland HRArevenueresourcesandhowtheycanbebestdeployedtomaximisestockimprovementwhilstgeneratinglongtermrevenuesavings.

Knowledge Asset Data Manager Educatedtodegreelevelorequivalentthroughrelevanttraining/experience.

Demonstrableknowledgeofassetmanagementlegislation, systems, proceduresandrequirementseg DHS, codeforsustainablehomesetc.

Knowledgeofgoodpracticeinassetmanagementplanningwithregardtolong-termmaintenancestrategiesandbusinessplanning.

Management/Leadership/Developmentofahighperformingteam.

AF/I Skillsand Abilities Asset Data Manager Abilitytointerpretlargevolumesofdata, identifyingpropertytrendsandbusinesssolutions.

AF/I Stronganalyticalskillswiththeabilitytoassessandevaluatearangeofoptionsandproduceeffectiveplannedworksprogramme.

Excellentverbalandwrittencommunicationskills, includingthecapacitytorepresenttheauthorityexternally, towritereportsandtocommunicatewithavarietyofaudiences.

AF/I Experience Asset Data Manager Relevantexperienceofleadingateamwithaholisticapproachtoservicedeliveryandcontinuousimprovement.

Experienceofprioritisingworkortaskstoachieverealistictargets, costsandtimedeadlines.

AF/I Experienceofworkingcollaborativelyandinconsultationwithdifferentdepartmenttodevelopanddeliverserviceimprovementsandimprovecommunication.

Experienceofworkingwithresidentsandarangeofstakeholdersincludinglocalcouncillorsinapoliticisedenvironment.

TPBN1_UKTJ

Data Asset Manager in London employer: All The Top Bananas

My Four Wheels is an exceptional employer, offering a rewarding career as a Trainee Driving Instructor with flexible working hours and the potential to earn up to £50,000+ annually. With comprehensive training provided through our new Training Academy, employees benefit from ongoing support and resources, ensuring a fulfilling journey towards becoming a qualified instructor while enjoying the satisfaction of teaching locally in Westfield, Surrey.

All The Top Bananas

Contact Details:

All The Top Bananas Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Asset Manager in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like All The Top Bananas!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Asset Manager at All The Top Bananas.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.

Apply Directly through Our Website

When you find a suitable opening like Data Asset Manager at All The Top Bananas, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Asset Manager in London

Leadership
Data Analysis
Asset Management
Communication Skills
Analytical Skills
Project Management
Stakeholder Engagement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at All The Top Bananas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at All The Top Bananas

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at All The Top Bananas!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.