Transformation Operations Manager at Grant Thornton helping organizations implement supply chain strategies. Lead major transformation initiatives with expert consulting guidance and client collaboration.
About the role
- Data & Insights Lead managing operational efficiency and analytics for a tech upskilling company. Collaborating with various departments to enhance data utilization and reporting.
Responsibilities
- Designing, implementing, interpreting & sharing ops/efficiency-related analyses using D&I’s data assets
- Defining and conducting experiments that test hypotheses and inform decisions
- Being the org-wide subject matter expert for ops/efficiency-related data and owning the definitions for key metrics & indicators within this domain
- Being the trusted data partner and first-point of contact for Operations, Finance, People & other relevant leaders via expert steer, challenge & support
- Gathering and translating stakeholders’ requirements into tangible data deliverables
- Defining & agreeing minimum user acceptance requirements for relevant analyses and data assets
- Establishing effective ways of working between the D&I and all analyst roles within our Operations, Finance, People & other relevant teams to ensure alignment and knowledge sharing
- Creating clearer coordination mechanisms so all data work across your domain connects to shared priorities and contributes to a cohesive delivery of insights
- Facilitating regular domain-level forums with relevant leaders & analysts to review, align, and prioritise data-related activity
- Defining, developing & delivering our strategy & roadmap for ops/efficiency-related data
- Triaging analyses across a cross-departmental pool of data analysts - inc personally conducting important/urgent analyses whenever appropriate
- Scoping, planning and project managing the development of D&I-owned data assets that relate to ops/efficiency data
- Continuously monitoring and reprioritising based on our Operations, Finance, People & other key teams’ evolving data needs
- Providing guidance and oversight to ensure that all ops/efficiency-related data analyses and tooling developed are aligned, and consistent
Requirements
- 6+ years of experience working within data-oriented roles - ideally within a fast-growing tech scale-up, management consultancy or other fast-moving environment
- Excellent ability to communicate actionable insights that influence key stakeholders
- Solid track record of producing scalable data assets with observable impacts
- Demonstrable ability to read, interpret and write SQL
- Hands-on experience working with Tableau or equivalent tooling
- Ability to quickly build a strong understanding of complex business domains and translate this into data definitions, metrics, and insights
- Experience balancing short term analyses with longer term data asset development
- Demonstrated curiosity for - and successful adoption of - relevant AI tooling
- Successful experience with ‘dotted line’ coordination of activity across cross-departmental networks
- Tenacious and pragmatic approach to problem solving
- Meticulous attention to detail
- Right to work in the UK
- Ability to work from the Multiverse London office 3+ days per week
- Commitment to Multiverse’s mission and values
Benefits
- Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
- Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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