At a Glance
- Tasks: Transform complex data into actionable insights and create stunning dashboards.
- Company: Join Dignity Funerals, a company dedicated to making a meaningful impact.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on collaboration and continuous improvement.
- Why this job: Be at the forefront of data analytics and drive real change in the business.
- Qualifications: 3+ years in data analytics, strong Tableau skills, and a keen eye for detail.
The predicted salary is between 40000 - 50000 £ per year.
Here at Dignity Funerals we're looking for a Data & Analytics Analyst who is passionate about data and driven to make an impact. This is a hands‑on role where you’ll play a key part in shaping how data is used across our Legal Services and wider business—turning complex datasets into clear, actionable insight. If you thrive in a fast‑paced environment, enjoy ownership, and love bringing data to life through dashboards, this could be the role for you.
What You’ll Be Doing
- Deliver business‑critical reporting including weekly trading packs and month‑end cycles
- Build, maintain and enhance Tableau dashboards and reporting systems
- Own the end‑to‑end data pipeline—from raw extraction to polished outputs
- Bridge and streamline reporting between Legal Services and core business systems
- Investigate and resolve data discrepancies across multiple sources
- Respond to ad hoc analysis requests from senior stakeholders
- Improve and document processes to drive efficiency and consistency
- Support the transition from legacy reporting to modern, aligned data solutions
What Success Looks Like
- Accurate, timely, reliable reporting that the business depends on
- High‑performing dashboards with minimal downtime
- Clean, consistent master data and reporting structures
- Continuous improvements in reporting efficiency and data quality
About You
- Loves working with data and turning it into meaningful insight
- Has a sharp eye for detail and takes pride in accuracy
- Enjoys variety—from dashboards to deep‑dive analysis
- Communicates confidently with both technical and non‑technical audiences
- Is proactive, collaborative and always looking for smarter ways to work
What You’ll Bring
- 3+ years’ experience in data analytics or reporting
- Strong experience with Tableau (dashboard development & maintenance)
- Hands‑on experience with BigQuery and dbt (SSMS is a bonus)
- Solid understanding of data modelling and data quality
- Experience working across multiple data sources and systems
- Exposure to master data management and reporting hierarchies
- Degree in a relevant field (or equivalent practical experience)
- Experience in an FCA‑regulated environment (desirable)
Data Analytics Analyst in Maidenhead employer: Dignity Group
At Dignity Funerals, we pride ourselves on being an exceptional employer that values passion and impact in the workplace. Our hybrid working model in Maidenhead fosters a collaborative and supportive culture, where employees are encouraged to take ownership of their projects and drive meaningful change through data. With ample opportunities for professional growth and a commitment to continuous improvement, joining our team as a Data & Analytics Analyst means becoming part of a forward-thinking organisation dedicated to making a difference.
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We think this is how you could land Data Analytics Analyst in Maidenhead
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We think you need these skills to ace Data Analytics Analyst in Maidenhead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Dignity Group
✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.