Insight Analytics Manager
Asda House, United Kingdom
Job Title
Insight Analytics Manager
Location
Asda House
Employment Type
Full time
Contract Type
Permanent
Hours Per Week
37.5
Salary
Competitive salary plus benefits
Category
Data Science
Closing Date
29 May 2025
About the Role
In this role, you will shape and deliver advanced analytics, visual insights and commercial recommendations that influence decisions at every level of the organisation. You’ll be working in a hybrid cloud environment (Azure, Databricks), applying your skills to real challenges in areas like customer behaviour, operations, and digital journeys. You will also mentor and manage a team of talented insight professionals, helping to grow our analytical capabilities and foster a high-performance culture.
We operate a matrix style squad structure. Over time you will be given the opportunity to work across multiple squads focused on a variety of strategic business projects. Initially focused on Ranging you will be accountable for the delivery of a suite of insight tools that support Asda’s ongoing ranging process and range decision making within the Commercial function. In this squad you will aspire to continually improve and extend the suite of tools available to meet the evolving needs of key stakeholders within Asda. You will demonstrate the capability & experience in explaining complex technical concepts to non-technical audiences and scoping business requirements into technical scopes, with a focus on ranging processes.
Key Responsibilities
- Create Value Through Insight: Lead the development and delivery of analytics that solve strategic problems, quantify business value, and support major transformation initiatives.
- Advanced Data Analytics: Oversee and apply statistical and analytical techniques to build models, validate hypotheses, and assess business performance — using SQL, Python, and cloud-based platforms (e.g. Azure, Databricks).
- Lead with Purpose: Mentor and develop analysts while setting high standards of analytical quality, objectivity, and insight that directly influence business outcomes.
- Engage & Influence Senior Stakeholders: Collaborate with senior leaders across departments to scope analytical opportunities, challenge assumptions, and embed data into the heart of decision-making.
- Insight Generation: Translate complex datasets into accessible and actionable insights.
- Enable Data-Driven Decisions: Drive the development of visual narratives using core analytical platforms that translate data into insight business users can act on.
- Team Leadership: Possibility of direct line management and/or mentor analysts and data scientists, ensuring high-quality output and professional development.
- Strategic Contribution: Lead analytics projects from concept to impact — aligning deliverables to business needs while ensuring clarity, reproducibility, and robustness in all outputs.
- Provide thought and technical leadership in Analytics: Promote consistent analytical practices, peer learning, and a strong value mindset across the wider insight community at Asda.
Candidate Profile
Essential:
- Proven experience leading analytics in a complex, data-driven environment, with advanced understanding of analytics methodologies.
- Highly proficient in SQL for data analysis and for large-scale data manipulation and model building
- Strong ability to communicate complex analytical outputs to senior, non-technical stakeholders
- A track record of translating insight into commercial action and decision support
- Collaborate closely with colleagues across Insight & Analytics and allied functions such as Data Science, Reporting & Data Visualisation to deliver insights and regular reporting to help keep the business on track
- Experience managing or mentoring junior colleagues, setting clear expectations and driving performance
- Comfortable leading analytical projects autonomously, including scoping, delivery, and iteration
- Degree in a numerate or analytical field
Desirable:
- Experience using BI tools such as Power BI or Tableau and working knowledge of Python.
- Proficient in statistical modelling techniques.
- Background in retail, FMCG, or other data-rich industries.
Why Join Asda?
- We are a values-led organisation. As such we, encourage everyone to be open and honest. We work creatively and collaboratively, valuing everyone's input.
- Our collaborative culture, the size of our business and our belief in the empowerment of the individual means opportunities at Asda are abundant.
- We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves"
Why Join Insight and Analytics?
- You will work on business-critical challenges with visible, high-level impact
- You can join a forward-thinking data team using modern tools in a cloud-native environment
- We use leading Tools & tech: Azure, Databricks, Power BI, Python — and are continuously evolving
- We offer an attractive benefits package:
- Competitive salary, car allowance, and performance related bonus
- 7% Stakeholder Pension Plan
- 15% Asda Colleague Discount
- Free parking at Asda House, Leeds
- Clear opportunities for career growth and professional development
Everything you'll love
To ensure we balance moments where we know we need to collaborate together and the need for flexibility, Asda has a hybrid way of working with a minimum 3 days a week in one of our Home Offices. Over and above this, each area of Asda may have additional requirements which may require spending more days in the office, visiting suppliers, stores or depots.
You will also get an excellent benefits package including:
- Discretionary company bonus
- Company pension up to 7% matched
- Company Car allowance of £5,700
- 15% colleague discount in store and online
- Free access to wellbeing services such as Wagestream, 24/7 virtual GP, counselling, health and dental cash plans and a 24/7 employee assistance helpline, alongside discounts across a range of services and activities, from airport parking, enhanced to theme parks and cinemas.
- Asda Allies Inclusion Networks – helping colleagues to make sure everybody is included and that our differences are recognised and celebrated
- Excellent parental leave policies, including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and support for those doing fertility treatments.
We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves"
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Data analysis Data Analytics Databricks Power BI Python SQL Statistics Tableau
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