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For Companies At a Glance
- Tasks: Connect data sources, build models, and drive operational efficiency.
- Company: Join a forward-thinking company transforming customer operations.
- Benefits: Competitive daily rate, flexible work, and impactful projects.
- Why this job: Make a real difference by improving data visibility and automation.
- Qualifications: Strong SQL and DBT skills, with experience in customer support data.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 40000 - 50000 £ per year.
Location: Leicester (1 day per week on-site)
Contract: 3 months
IR35: Inside
Rate: £400-500pd
Start: ASAP
Overview
We're supporting a business undergoing an operational transformation, focused on improving visibility, efficiency, and automation across their customer operations function. Currently, operational data sits across siloed systems (including Zendesk and internal back-office tooling), making it difficult for the business to get a clear, joined-up view. This role will focus on connecting these data sources, building reliable data models, and enabling the business to identify automation opportunities, improve forecasting, and drive operational efficiency.
The Role
You'll work closely with the Operations team (reporting into the Ops Lead) as well as Data and Product teams to:
- Integrate Zendesk and back-office systems into the wider data ecosystem
- Build and standardise clean, scalable data models using SQL and DBT
- Identify data duplication issues and implement automation improvements
- Develop reporting and dashboards (Lightdash / Looker) for operational teams
- Support stakeholders in understanding and using data to drive decisions
- Collaborate with non-technical stakeholders across Ops, Product, Data and Finance (CFO level)
- Help define "what good looks like" in terms of data visibility and operational insight
This role is initially:
- ~80% data modelling (SQL / DBT)
- ~20% insights, reporting and stakeholder engagement (with potential to shift more toward reporting over time)
Key Deliverables
- Reliable, standardised data models across operational datasets
- Clear identification of operational inefficiencies and automation opportunities
- A suite of dashboards and reporting enabling better decision-making
- Improved data visibility across previously siloed systems
- Empowered stakeholders using data for forecasting and performance tracking
Required Experience
- Strong SQL and DBT experience (core requirement)
- Experience working with operational / customer support / contact centre data
- Exposure to Zendesk or similar customer support tooling
- Dashboarding experience (Lightdash, Looker or similar)
- Experience identifying automation opportunities within data workflows
- Strong stakeholder engagement skills (non-technical teams)
Nice to Have
- Exposure to Airflow
- Python experience
Data & Insights Manager in Leicester employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Insights Manager in Leicester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data and insights. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and DBT projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions. We recommend practising how to explain complex concepts in simple terms, especially for non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing familiar faces in our talent pool!
We think you need these skills to ace Data & Insights Manager in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & Insights Manager role. Highlight your SQL and DBT experience, and any work you've done with operational data or customer support tools like Zendesk. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can help us improve visibility and efficiency. Be sure to mention specific examples of your past work that relate to the key deliverables in the job description.
Showcase Your Stakeholder Engagement Skills: Since this role involves collaborating with non-technical stakeholders, make sure to highlight your communication skills. Share examples of how you've successfully engaged with different teams in the past, as this will show us you can bridge the gap between data and decision-making.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL and DBT skills before the interview. Be ready to discuss specific projects where you've used these tools to build data models or solve problems. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Business Context
Familiarise yourself with the company’s operational transformation goals. Think about how connecting data sources and improving visibility can impact decision-making. Being able to relate your technical skills to their business needs will set you apart.
✨Prepare for Stakeholder Engagement
Since this role involves working with non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated insights to different teams in the past, especially at a senior level.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific instances where you've identified inefficiencies or automation opportunities in data workflows. Highlight your analytical thinking and how it led to tangible improvements, as this aligns perfectly with what they’re looking for.