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- Tasks: Lead impactful data analysis projects and develop predictive models for smarter decision-making.
- Company: A not-for-profit Housing Association focused on data transformation.
- Benefits: Competitive salary, mentoring opportunities, and a chance to shape the analytics team.
- Why this job: Make a real difference in a data-led organisation while mentoring future analysts.
- Qualifications: Strong data analysis skills with experience in Power BI, SQL, and predictive modelling.
- Other info: Join a culture of curiosity and continuous improvement in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a not-for-profit Housing Association, is building their Data and Insight team to support their transformation into a data-led organisation. They need a Lead Data Analyst to deliver high-impact analysis, develop predictive models, and help build their in-house analytics capability.
You will lead analytical projects across the organisation, from strategic forecasting to service reviews. This is a hands-on role where you will build and deploy predictive models to anticipate demand, reduce risk, and support future planning. You will work with colleagues across housing, asset management, finance, and customer services to enable smarter decision-making through data.
A key part of this role is mentoring junior analysts and growing their small analytics team. You will help create a culture of curiosity and continuous improvement whilst supporting their broader data strategy and transformation journey.
Key Responsibilities- Lead analytical projects from strategic forecasting to service reviews
- Build and deploy predictive models to anticipate demand and reduce risk
- Work with teams across the organisation to support data-driven decisions
- Support the design and delivery of their data strategy and transformation
- Mentor junior analysts and help build their internal analytics capability
- Support the Data Governance team to drive high-quality data standards
- Strong experience in data analysis and visualisation using Power BI, Excel, and SQL
- Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting
- Experience with Python or R is beneficial
- Familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud
- Confidence working with large, complex datasets including data cleansing, transformation, and validation
- Understanding of data governance principles including data quality, security, and compliance
- Ability to engage with colleagues across the business, both technical and non-technical
- Strong communication skills to translate technical data into meaningful insights for different audiences
- Natural problem-solver with curiosity, creativity, and attention to detail
- Proven experience in mentoring or coaching others
- Comfortable managing multiple projects and priorities with a flexible approach
Lead Data Analyst in Oldham employer: James Andrews Technology
Contact Detail:
James Andrews Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in Oldham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, predictive models, and any data visualisations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your experience with tools like Power BI, SQL, and Python. Practice explaining complex data concepts in simple terms – it’s all about making those insights accessible!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that could be perfect for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent just like yours.
We think you need these skills to ace Lead Data Analyst in Oldham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Analyst role. Highlight your experience with data analysis, predictive modelling, and any relevant tools like Power BI or SQL. We want to see how your skills align with what our client is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to building a data-led organisation. Mention your mentoring experience and how you can help grow the analytics team.
Showcase Your Projects: If you've worked on any analytical projects, make sure to include them in your application. We love seeing real examples of your work, especially those that demonstrate your ability to lead projects and deliver impactful insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at James Andrews Technology
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI, Excel, and SQL. Be ready to discuss specific projects where you've used these tools to deliver insights or solve problems. Showing that you can handle data visualisation and analysis will definitely impress.
✨Predictive Modelling Know-How
Since the role involves building predictive models, be prepared to talk about your experience with techniques like regression analysis or clustering. Bring examples of how you've applied these methods in real-world scenarios to anticipate demand or reduce risk.
✨Communication is Key
You’ll need to translate complex data into meaningful insights for various audiences. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can engage both technical and non-technical colleagues effectively.
✨Mentorship Mindset
As a Lead Data Analyst, mentoring junior analysts is crucial. Think about your past experiences in coaching others and be ready to share how you fostered a culture of curiosity and continuous improvement. Highlighting your leadership skills will set you apart.
