Senior Data Analyst - 9 Month FTC

Nucleus Financial
UK
18 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Data Analysis Information Engineering Data Governance Scrum Methodology Query Optimization Power BI Standard Sql SQL Databases Cloud Platform System Microsoft Fabric Data Pipelines

Job description

The purpose of the role is to burn down the growing Change backlog, completing the analysis required, writing requirements and specifications, then delivering the new data models, reporting and data outputs that come from them, working closely with data engineering where that is required. The role acts as the translation layer between the business, Change and the Data team, so requirements are understood, specified and delivered. Responsibilities

  • Burn down the Change backlog: Own the existing Change and reporting backlog, triage and size it, agree priority with Change and the Data Product Owner, and drive items through to completion.
  • Requirements and specification translation: Act as the main point of contact between Change and the Data team, turning business requirements into technical specifications, and explaining data constraints and options back to Change in plain language.
  • Analysis for data engineering work: Complete the up front analysis for larger pieces of work, including source profiling, mapping, model design and non-functional requirements, so that engineering effort can be estimated accurately and built without rework.
  • Build defined reports and outputs: Build, test and release the reports, semantic models and data extracts that are already specified, using SQL, Power BI and Microsoft Fabric.
  • Prioritisation and progress reporting: Maintain a clear view of backlog size, throughput and burn down, and report progress to the Data Lead and Change stakeholders.
  • Data quality and assurance: Validate outputs before release, apply team standards for definitions and reconciliation, and resolve discrepancies between reports.
  • Business as usual and ad-hoc requests: Absorb day to day data requests while the permanent team is committed to the project, triaging effectively to protect delivery time.
  • Mentoring and review: Support analysts and developers through specification review, peer review of outputs and knowledge sharing.
  • Agile participation: Engaged participation in sprint planning, stand-ups and retrospectives, and contribute to improving how the team works.
  • Handover: Document delivered items, decisions and remaining backlog so the permanent team can pick up cleanly at the end of the contract.

Key deliverables over the nine months

  • Change backlog triaged, sized and prioritised, with a measurable burn down position.
  • Completed and released reports and data outputs from the defined backlog.
  • Build ready specifications for the larger data engineering items.
  • Documented definitions and reconciliation notes for delivered outputs.
  • Regular progress reporting into the Data Lead, Data Product Owner, and Change.
  • Clean handover of delivered work and remaining backlog at the end of the contract.

Requirements

  • Advanced data analysis and SQL: Strong SQL for complex analysis, query optimisation and reconciliation across systems.
  • Power BI and semantic modelling: Building semantic models, DAX measures and reports that stand up to scrutiny from senior stakeholders.
  • Microsoft Fabric: Practical experience of Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, notebooks and semantic models, or strong equivalent cloud data platform experience.
  • Requirements to specification: Demonstrated ability to translate business requirements into technical specifications that data engineers can build from without further analysis.
  • Backlog management and delivery at pace: Experience owning and burning down a backlog, sizing work, prioritising with stakeholders and delivering to committed dates.
  • Stakeholder management: Confident working with Change, operations and senior stakeholders, and comfortable challenging scope where it is not deliverable.
  • Data quality and governance: Understanding of data governance principles, with discipline around definitions, lineage and reconciliation, and awareness of data protection where outputs include personal or client data.
  • Mentoring: Proven ability to guide analysts and developers and raise standards through review and knowledge sharing.
  • Regulated environment experience: Experience in financial services, platforms or another regulated environment is desirable.
  • Agile working: Experience of working in an Agile delivery environment

About the company

We are the Nucleus Group Services Limited and we help make retirement more rewarding. Here at Nucleus, people come first - whether it’s our colleagues, or the advisers and customers we support, we know that working in partnership and collaboration leads to the best outcomes. Together, we’ve shaped the platform to how it is today. We work hard, and we celebrate hard too.

Our ambition is to create a platform with a difference, putting the customer centre stage meant tearing up the rule book and starting from scratch. We’ve come a long way since then, but our mission remains just as focused. That’s why our culture, values, and social responsibility are things we keep at the top of our agenda - because we know they matter and have a big impact.

Our culture is one of the many things that sets us apart from the pack. We want to have an environment where our people feel that they can make a real difference, know they’ll be rewarded for their efforts and more importantly, enjoy themselves at work.

Are we a perfect match?

Inclusion and diversity at Nucleus As with most things in life, who cares, wins. We really care about inclusion.

For us it’s not a tick box exercise; inclusion and diversity are embedded in our culture and everything we do. It’s a commercial imperative. It isn’t about being PC. It’s about being future-relevant and durable. We owe it to ourselves and the industry to ensure we are playing our part in creating a fair, balanced and transparent financial services sector.

More diversity means broader experience, a wider set of perspectives and a better collective ability to problem-solve.

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