At a Glance
- Tasks: Analyse data to uncover insights and drive innovation in social housing.
- Company: Join Mobysoft, a leader in data-based solutions for social housing.
- Benefits: Enjoy competitive salary, private healthcare, and generous annual leave.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
- Why this job: Make a real difference in people's lives through impactful data analysis.
- Qualifications: 2-4 years in data analytics with strong technical skills required.
The predicted salary is between 30000 - 40000 € per year.
Location: Manchester (This role can be based remotely but applicants must reside and have the right to work in the U.K)
Salary: Competitive plus excellent benefits
Skills required: The successful candidate will have 2–4 years in a data analytics, data science, data insights, or analytics engineering role. Proven commercial experience is essential.
Who we are: Founded in 2003, Mobysoft provides data-based insight solutions to a wide range of social housing clients, through market-leading products, simultaneously helping keep tenants housed in homes they can enjoy and improving social housing landlords long term organisational health. Our vision is working towards a world in which intelligent technology significantly improves the quality of life for people who live in social housing and our mission is delivering accurate actionable data insights that help social housing providers ensure a consistent, equitable service.
What are we looking for? We are an ambitious, hybrid working, customer-centric Data & Analytics team, dedicated to developing a new generation of data products that unlock significant value for the social housing sector. We operate with a focused product lens, driven by curiosity and a commitment to technical excellence. As a Data Analyst you will work to bring together, explore and make sense of disparate data sources, which combine to create compelling stories for our clients such as developing trends and next best actions. In this role you will work across the full range of competencies (from analytical engineering and statistical analysis to visualisation and data storytelling). We’re not looking for unicorns, rather an enthusiastic, proactive data analytics professional with key foundational skills and experience, alongside a commitment to learn and develop new ones in role.
Key Responsibilities
- Data discovery. Evaluating new data sources and how they can enhance current/support new product propositions through appropriately designed experiments.
- Data trust. Providing analytics on the reliability of existing data including productionising ongoing monitoring with benchmarks.
- Sales support. Ensuring that our sales function is equipped with the metrics they need to support their success.
- Measuring success. Researching and developing appropriate measures of product efficacy and return on investment (ROI) in collaboration with our sector experts.
- Strategic Analytics. Identifying our clients' and business' analytical needs, organising these into clear, actionable plans, and ensuring their effective execution.
- Feature generation. Working with our data science team to explore and develop new/improved data features.
- Insight Navigation. Liaising with our clients (directly or through events, conferences, webinars etc.), to help support their data driven journeys, finding the most compelling, clean and clear approach to effectively communicating their data insights story.
- Emerging technologies. Researching augmented analytics and related artificial intelligence (AI) approaches to enhance our output - helping to implement solutions where practical.
- Evolving standards. Working with the full Data & Analytics team to further enhance our systems of work.
In short there will be plenty to keep you interested, your technical and power skills developing and a real chance to drive innovation and change.
Why should you consider this role? Alongside the work opportunities as described your development will be supported, you will be sensibly renumerated, we will provide a compelling benefits package, and we are a great bunch of folks to work with.
Qualifications and skills Required
- An honours degree with a substantial quantitative component / data analytics playing a key role.
- 2–4 years in a data analytics, data science, data insights, or analytics engineering role.
- Experience working with real-world datasets, ideally in a commercial environment.
- Exposure to cross-functional work for example, with data science, product and commercial teams.
What technical skills are required?
- Data Wrangling & Transformation: Strong experience shaping and preparing data across structured, semi-structured, and unstructured formats.
- Data Pipelines & Modelling: Hands-on experience maintaining and creating ETL/ELT pipelines.
- Programming & Querying: Proficient in Python and core analytics libraries (pandas, NumPy, SciPy, etc.).
- Analytics, Statistics & Experimentation: Strong grounding in statistical methods: hypothesis testing, regression (linear & logistic), correlation analysis, time series analysis.
- Visualisation & Reporting: Skilled in Power BI and Excel.
Desirable
- Familiarity with Scala, HiveQL for data processing tasks.
- Understanding of Linux/Shell for data and environment operations.
- Experience working with Apache Spark and MapReduce for large-scale data processing.
- Familiarity with NoSQL technologies such as Amazon DynamoDB.
- Machine Learning (ML) / predictive and prescriptive analytics experience.
- Hands-on Tableau use.
What else are we looking for?
- Ability to work effectively both as an individual and within a team – supportive, collaborative.
- A keen interest in data analytics - bringing to the team, new approaches, best practice developments and analytical methods from other walks of life.
- Clear written and verbal communication, including effective communication with non-technical audiences.
- Business acumen, i.e., understanding the business context with a proven ability to align and actively support business goals and OKRs.
- A good understanding of data governance and related best practice.
The Person
- Takes ownership and thrives on improving how things are done.
- Is proactive, self-motivated, and solutions focused.
- Can influence and collaborate across teams.
- Is a critical thinker and a problem solver.
- Balances delivery detail with big-picture thinking.
- Enjoys mentoring and helping others grow.
- Is curious to experiment, iterate, learn and develop.
- Is excited to help scale a values-led SaaS company making a real difference.
MobyIdeals: You will behave in accordance with the MobyIdeals:
- Customer-focused: We drive outcomes that create value for the customer.
- Collaborative: We operate as one, fostering open communication, diverse contribution, cooperation and trust.
- Outcome-orientated: We are driven by the end goal, rather than the process or steps to get there.
- Accountable: We own decisions, are transparent, set clear expectations and consistently deliver on commitments.
- Courageous: We actively contribute and constructively challenge with positive intent.
- Innovative: We own and proactively search for solutions.
Benefits: Competitive salary and rewards package including: Private Health care, 4 x salary Life cover, 25 days annual leave, increasing to 28 after 3 year’s service, salary sacrifice pension scheme and much more.
Inclusion: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.
If you are interested and would like to know more then please apply to simone.ryan@mobysoft.com or via our careers page. Please note that we are not working with any external Agencies for this position.
Data Analyst in Manchester employer: Mobysoft
Mobysoft is an exceptional employer that champions a hybrid working culture, allowing flexibility while fostering collaboration within a dedicated Data & Analytics team. With a strong commitment to employee development, competitive benefits including private healthcare and generous leave, and a mission-driven approach to improving social housing, Mobysoft offers a rewarding environment for data professionals eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research Mobysoft and understand their mission in social housing. Be ready to discuss how your skills can help them achieve their goals and make a real impact.
✨Tip Number 3
Show off your data storytelling skills! Bring examples of your past work to the interview, especially projects where you turned complex data into clear insights. This will demonstrate your ability to communicate effectively.
✨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, it shows you’re genuinely interested in joining our team at Mobysoft.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills that match the job description, like your data wrangling and transformation abilities. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how your background aligns with our mission at Mobysoft. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any interesting data projects, don’t hold back! Include links or descriptions of your work in your application. We’re keen to see how you’ve tackled real-world datasets and what insights you’ve uncovered.
Apply Through Our Website:We encourage you to apply through our careers page for a smoother process. It helps us keep track of applications better and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at Mobysoft
✨Know Your Data
Before the interview, brush up on your data analytics skills. Be prepared to discuss your experience with data wrangling, transformation, and modelling. Familiarise yourself with the tools mentioned in the job description, like SQL, Python, and Power BI, so you can confidently showcase your technical prowess.
✨Showcase Your Problem-Solving Skills
Mobysoft is looking for someone who can think critically and solve problems. Prepare examples from your past work where you identified a data-related issue and how you approached it. This will demonstrate your analytical mindset and ability to deliver actionable insights.
✨Communicate Clearly
Since you'll be translating complex data into compelling narratives, practice explaining your past projects in simple terms. Think about how you can communicate your findings to non-technical audiences, as this is crucial for the role. Clear communication can set you apart from other candidates.
✨Emphasise Collaboration
Mobysoft values teamwork and collaboration. Be ready to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you contributed to a team goal or helped others grow, as this aligns with their company culture and ideals.
