At a Glance
- Tasks: Transform raw data into standard formats and manage client implementation projects.
- Company: Join a diverse and inclusive tech company focused on data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive environment.
- Why this job: Make an impact by optimising data processes and collaborating with cross-functional teams.
- Qualifications: Strong analytical skills and experience with data mapping and databases.
The predicted salary is between 40000 - 50000 £ per year.
The Technical Data Implementation Analyst plays a critical role in transforming raw incoming data into standardized formats required for downstream system consumption. This team ensures that each client’s data is properly configured, normalized, tested, and delivered consistently and accurately. In this role, you will configure database environments, manage source mappings, and oversee client implementation projects—including the setup and mapping of all inbound and outbound files. You will monitor database health and job processing, ensuring optimal performance as the number of clients and feeds continues to grow. This position is ideal for someone who enjoys working with data structures, solving mapping challenges, and managing the technical onboarding lifecycle for new clients.
Job Responsibilities
- Data Normalization & Configuration
- Configure database environments to ingest, normalize, and distribute client data.
- Map data formats from various sources into standardized schemas required for internal or client facing systems.
- Maintain mappings and transformation logic to support reconciliation and other downstream workflows.
- Review and validate normalized data to ensure accuracy, completeness, and consistency.
- Implementation Project Management
- Lead the data normalization workstream for new client implementations, including requirements gathering, mapping, configuration, and testing.
- Partner with project managers to execute against project timelines and deliver high-quality onboarding experiences.
- Set up new data sources, file specifications, and internal system profiles as part of onboarding and ongoing maintenance.
- Database Health & Operational Support
- Monitor database performance, job health, and data processing throughput.
- Identify and troubleshoot issues related to data ingestion, normalization, or distribution.
- Work with Development and Engineering to optimize performance, scale processing, and enhance automation.
- Source Profile & Library Management
- Maintain detailed source profiles to ensure clear documentation of attributes, layouts, and nuances for each data feed.
- Update internal data source libraries as new feeds are onboarded or formats change.
- Cross-Functional Collaboration
- Collaborate closely with Data Acquisition, Development, Client Services, and Reconciliation teams to ensure data flows smoothly end-to-end.
- Support internal and client testing (UAT and production cutover).
- Participate in process improvement initiatives to enhance quality, reliability, and scalability.
Job Requirements
- Strong analytical skills and the ability to interpret and transform structured financial or operational data.
- Experience with data mapping, file formats (CSV, XML, JSON, SWIFT, FIX, etc.), and schema definitions.
- Comfort working with databases (preferably SQL) and understanding data relationships.
- Ability to manage multiple client implementations and data mapping tasks simultaneously.
- Excellent documentation habits with strong attention to detail.
- Effective communication skills—both technical and business oriented.
- Familiarity with reconciliation workflows or middle/back-office operations is a plus.
- Highly organized, with the ability to juggle competing priorities and deadlines.
- Strong ownership mindset; sees tasks through from requirement-gathering to delivery.
- Curious and eager to understand how data flows across systems.
- Calm and methodical when troubleshooting complex data issues.
- Collaborative and comfortable working with technical teams.
Equal Opportunities Statement
At Gresham, we are committed to building a diverse and inclusive workforce that reflects the communities we serve. We actively encourage applications from individuals of all backgrounds and are dedicated to providing a workplace where everyone feels valued, respected and supported. We make employment decisions based on merit, skills and potential, and do not discriminate based on any protected characteristic. We are also committed to making reasonable adjustments throughout the recruitment process and employment lifecycle.
Technical Data Implementation Analyst in Bristol employer: Gresham
At Gresham, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that values diversity and inclusion. Located in a vibrant area, our team enjoys not only competitive benefits but also the chance to work on impactful projects that shape the future of data management.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Implementation Analyst in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data mapping and implementation abilities. It’s a great way to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to data normalisation and project management. We recommend using the STAR method to structure your answers—it's all about showcasing your experience 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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Technical Data Implementation Analyst in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Technical Data Implementation Analyst. Highlight your experience with data mapping, database environments, and any relevant project management skills. We want to see how your background aligns with our needs!
Show Off Your Analytical Skills:In your application, don’t shy away from showcasing your analytical prowess. Mention specific examples where you've transformed raw data into usable formats or solved complex mapping challenges. This is key for us!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you articulate your experience and enthusiasm for the role without fluff. Let’s get to the good stuff!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at Gresham
✨Know Your Data Formats
Make sure you brush up on your knowledge of data formats like CSV, XML, JSON, and others mentioned in the job description. Be ready to discuss how you've worked with these formats in the past and how you would approach mapping them for client implementations.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills, especially in interpreting and transforming structured data. Think of specific instances where you solved complex data issues or improved processes, as this will demonstrate your problem-solving abilities.
✨Familiarise Yourself with SQL
Since the role involves working with databases, it’s crucial to have a good grasp of SQL. Brush up on your SQL skills and be prepared to answer questions about database health monitoring and troubleshooting data ingestion issues.
✨Emphasise Collaboration
This position requires cross-functional collaboration, so be ready to discuss your experience working with different teams. Share examples of how you’ve partnered with project managers or technical teams to ensure smooth data flows and successful client onboarding.
