At a Glance
- Tasks: Design and optimise data pipelines for impactful reporting and insights.
- Company: Join First Choice Homes Oldham, a forward-thinking organisation focused on data-driven transformation.
- Benefits: Enjoy a competitive salary, hybrid working, 30 days leave, and private health insurance.
- Other info: Collaborative team environment with excellent career development opportunities.
- Why this job: Shape a modern, insight-led organisation and make a real difference in your community.
- Qualifications: Strong SQL skills and experience with data modelling and analytics required.
The predicted salary is between 60000 - 60000 £ per year.
Improving lives in Oldham
Salary: £60,000
Location: Oldham (Hybrid)
Contract: Permanent, Full Time (37 hours per week)
Reporting to: Head of Business Intelligence
About the role
First Choice Homes Oldham (FCHO) is looking for an Analytics Engineer to join our Business Intelligence team at an exciting time of transformation. This role sits at the intersection of data engineering and analytics, playing a key part in how data is structured, modelled and made available for reporting, insight and decision-making across the organisation. You’ll work across our current data environment and emerging Microsoft Fabric platform, helping to develop robust data pipelines, analytical datasets and semantic models that underpin trusted KPI reporting and business insight. This is a great opportunity to help shape a modern, insight-led organisation — supporting both the continuity of critical reporting and the transition to a scalable, future-ready data platform.
What you’ll be doing
- Designing, building and optimising data pipelines and analytical datasets to support reporting and insight
- Developing and evolving semantic models (Power BI datasets) to enable consistent, trusted KPI reporting
- Working across a hybrid data environment, supporting the transition to Microsoft Fabric
- Structuring and transforming data to ensure quality, consistency and usability
- Optimising queries, pipelines and models to ensure efficient and timely reporting
- Supporting regulatory and statutory reporting (e.g. TSMs, SDR) by aligning data structures to requirements
- Collaborating with BI Analysts to translate business needs into effective data solutions
- Supporting Python-based analytics processes, including automation and model scoring
- Integrating outputs from analytical and predictive models into reporting and operational systems
- Identifying opportunities to improve automation, efficiency and data processes
- Working closely with Data and ICT teams to align with governance, security and architectural standards
What we’re looking for
- Strong SQL skills (T-SQL), with the ability to write and optimise queries
- Experience designing data models, including dimensional and semantic layers
- Experience working with data platforms (e.g. data warehouses, lakehouse architectures, ELT approaches)
- Experience with Power BI datasets and data modelling for reporting
- Experience building and maintaining data pipelines and transformations
- Ability to translate business requirements into practical data solutions
- Strong analytical thinking and attention to detail
It would be great if you also have
- Experience with Microsoft Fabric or similar modern data platforms
- Experience using Python for data analysis or modelling (e.g. Pandas, notebooks)
- Experience supporting KPI frameworks or regulatory reporting
- Exposure to predictive modelling or advanced analytics
- Experience in social housing or a regulated environment
Why join us?
At FCHO, we’re building a modern, insight-led organisation where data plays a key role in improving services and outcomes for our customers. You’ll be part of a collaborative BI team, working closely with Data and ICT colleagues to shape how data is used across the organisation with real opportunity to influence, innovate and make an impact.
What’s in it for you?
- Competitive salary
- 37-hour working week with hybrid working options
- 30 days’ annual leave plus bank holidays
- Option to purchase additional annual leave
- Defined contribution pension scheme with up to 10% employer contribution
- Private health insurance and healthcare cash plan
- Employee Assistance Programme (24/7 support)
- 24/7 GP access through Doctorline
- Discounts, wellbeing tools and gym membership
- Professional subscriptions paid (where required)
- Enhanced family-friendly policies
- On-site wellbeing room and café
- Long service awards
Interested?
If you are an experienced analytics engineer, we’d love to hear from you. Please apply by 19/05/2026. Please note, we reserve the right to close this vacancy early should we receive a high volume of applications.
Inclusion and accessibility
We are committed to building an organisation that represents a variety of backgrounds, perspectives, skills and are proud to be an equal opportunity workplace. As an equal opportunities employer, FCHO is committed to the equal treatment of all current and prospective colleagues and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join us. We care that you have a great experience with us at FCHO and if you need us to make any reasonable adjustments to make your experience smoother, please let us know and we’ll do all we can.
Analytics Engineer Business Intelligence in Manchester employer: First Choice Homes Oldham
First Choice Homes Oldham (FCHO) is an exceptional employer that prioritises employee wellbeing and professional growth, offering a competitive salary and a generous benefits package including private health insurance and a defined contribution pension scheme. With a collaborative work culture and a commitment to innovation, FCHO provides a unique opportunity for Analytics Engineers to make a meaningful impact in a modern, insight-led organisation while enjoying a healthy work-life balance through hybrid working options.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer Business Intelligence in Manchester
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like First Choice Homes Oldham!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Analytics Engineer Business Intelligence in Manchester
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at First Choice Homes Oldham, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at First Choice Homes Oldham
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with First Choice Homes Oldham’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
