At a Glance
- Tasks: Analyse data and create reports to improve complaint handling and support decision-making.
- Company: Join a mission-driven company with a collaborative and data-focused culture.
- Benefits: Competitive day rate, hybrid working model, and opportunities for professional growth.
- Other info: Gain valuable experience in a highly visible role with excellent career development opportunities.
- Why this job: Make a real impact on customer outcomes while developing your analytical skills.
- Qualifications: Experience in data analysis, strong analytical skills, and proficiency in reporting tools.
Location: Manchester Hybrid: Tuesday to Thursday in the office Competitive Day Rate
What You'll Do
- Data Analysis & Reporting Produce and maintain both recurring and ad hoc reports of moderate to high complexity to support complaint handling performance, regulatory compliance (e. g.
FCA DISP), and strategic decision-making.
Analyse complaint volumes, ageing complaints, root causes, and resolution outcomes to identify trends, risks, and improvement opportunities across the function.
- Stakeholder Communication Translate complex data into clear, actionable insights and present findings to key stakeholders, including operational leadership, quality teams, and wider business partners.
Provide commentary on performance against key metrics (e. g. turnaround times, uphold rates, backlog volumes), highlighting risks and recommended actions.
- Data Quality & Systems Optimisation Review and troubleshoot data queries and reporting outputs to ensure accuracy, consistency, and performance efficiency.
Support the design, development, and continuous improvement of reporting systems and data models, including maintaining user documentation and data definitions.
- Process Improvement & Automation Identify opportunities to standardise, scale, and automate reporting processes and recurring data requests to improve efficiency and reduce manual effort.
Partner with stakeholders to interpret evolving business and regulatory requirements, assess impacts, and implement sustainable reporting and process enhancements.
- Visualisation & Insight Delivery Develop clear, user-friendly dashboards and visualisations (e. g.
Power BI, Excel) to track complaint handling KPIs and operational performance in real time.
Tailor output to different audiences, ensuring insights drive understanding, accountability, and action across the complaints team.
- Training & Knowledge Sharing Provide training and guidance to team members and stakeholders on reporting tools, data interpretation, and best practice use of dashboards.
Promote data literacy within the complaints function to support informed decision-making.
- Project Support & Continuous Improvement Contribute to cross-functional projects, such as regulatory change initiatives, system migrations, or operational transformation programmes.
Support root cause analysis activities by providing data-driven insights to help reduce complaint volumes and improve customer outcomes.
What We're Looking For
- Undergraduate degree or equivalent combination of training and experience.
- Proven experience in a data analysis or reporting role, ideally within a regulated environment (e. g. financial services or complaints handling).
- Strong analytical skills with the ability to interpret complex datasets and translate them into meaningful insights.
- Proficiency in reporting and visualisation tools (e. g. Excel, Power BI, or similar).
- Experience working with operational KPIs and performance metrics, with an understanding of complaints processes and regulatory frameworks (e. g. FCA DISP) desirable.
Why join us?
Hybrid working model (Tuesday-Thursday in the office, with flexibility at the start and end of the week) Opportunity to make a real impact on customer outcomes and operational performance Work in a collaborative, data-driven environment Gain valuable experience in a highly visible, business-critical role
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.
We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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Data Analyst - Complaints (12 month contract) in Manchester employer: Aplaro Ltd
Baringa is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant Energy & Infrastructure sector. With a strong focus on employee development, you will have access to numerous growth opportunities while working alongside industry experts on impactful projects that shape the future of energy and utilities. Located in a dynamic environment, Baringa offers a unique chance to engage with diverse clients and contribute to meaningful change in the renewable infrastructure landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Complaints (12 month contract) in Manchester
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Aplaro Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Aplaro Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Aplaro Ltd.
We think you need these skills to ace Data Analyst - Complaints (12 month contract) in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Aplaro Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Aplaro Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Aplaro Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Aplaro Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Aplaro Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Aplaro Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Aplaro Ltd.
