Aegis London on cord

Aegis London

Senior Data Analyst

External position
London, UK
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Insurance
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Posted
3 weeks ago
Checked
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2 days ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Senior
Core skills considered: SQL, Power BI, Data Analysis, Data Visualisation, Data Modeling
Other skills considered: Data Pipelines, Data Warehousing, Agile, Python

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Reporting to the Data Analytics Manager, the Senior Data Analyst is a hands-on individual contributor who helps the team through its shift from platform delivery (post-EDP) toward value-added analytics and commercial insight. The role contributes to building lasting data partnerships with the underwriting, claims and exposure management teams, so that analytics is embedded in day-to-day decision-making rather than delivered as isolated reports.

The role holder will apply and role-model the technical standards the team works to peer review, version control, documentation, testing and release management - and will aid the Data Analytics Manager to raise the overall maturity of the function. They will contribute to the most complex analyses and help introduce new techniques, including the practical application of AI tools within the analytics workflow.


Duties and Accountabilities


Business partnering and value-added analytics

  • Act as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve pricing, portfolio steering, renewal decisions and exposure management.
  • Translate open-ended commercial questions into well-scoped analyses and dashboard requirements.
  • Closely collaborate with the wider business to identify areas of automation and acceleration to improve operational efficiency.
  • Identify practical opportunities to enhance the analytics workflow with AI tooling - for example, using LLMs and agentic tools for data exploration, code generation, documentation, and surfacing insight to underwriters.
  • Support the Data Analytics Manager in shaping external data analytical propositions - from discovery and prototyping through to packaging and delivery.

Team maturity, standards and Power BI governance

  • Apply and help embed the team's development lifecycle for BI and analytics assets, including naming conventions, documentation, peer review and sign-off before production release.
  • Follow and help maintain robust source-control practices for Power BI content - use of PBIP / TMDL format, Git-backed repositories, feature branches, pull requests and meaningful commit history.
  • Contribute to Power BI workspace governance: clear Dev / Test / Prod separation, deployment pipelines, dataset certification / endorsement, refresh monitoring and access management.
  • Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code / report reviews and knowledge-sharing sessions.
  • Work closely with Data Engineering on changes to the semantic / curated layer and data marts, ensuring analytics and business needs are reflected in platform design.
  • Deliver complex analytics workstreams end-to-end - scoping, estimation, delivery, hand-over and post-implementation review.
  • Work within an Agile framework: break down requirements into epics and user stories, contribute to backlog prioritisation with the Data Analytics Manager, and provide realistic estimates.

Skills, Knowledge and Experience


Essential

  • Well developed and demonstrable experience in a data analytics or BI role, preferably in an insurance or finance environment.
  • Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse / Fabric, SQL-based semantic layers).
  • Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query / M, performance tuning, RLS, and deployment via pipelines.
  • Understanding of Power BI engineering discipline: PBIP / TMDL source format, Git-based version control, pull-request review, structured release and rollback process; demonstrable experience of these practices in a team.
  • Proven ability to carry out peer review and QA of analytics work - spotting model errors, DAX issues, performance problems and UX weaknesses, and giving constructive feedback.
  • Excellent written and verbal communication skills, including presenting to underwriting and internal stakeholders.
  • Strong stakeholder engagement, with a track record of turning ambiguous business problems into delivered analytical outcomes.

Desirable

  • Well developed experience in a Lloyd's syndicate, managing agent, London Market broker or specialty (re)insurer.
  • Python for data analysis (pandas / notebooks) and an appreciation of wider data science techniques, enough to collaborate credibly with Data Scientists and Actuarial.
  • Hands-on experience applying AI / LLM tooling to analytics work (e.g. Co-pilot for Power BI / Fabric, MCP-style integrations, agentic assistants, code-generation tools) with a pragmatic view on where they add value.
  • Experience with Microsoft Fabric, dbt, Azure DevOps / GitHub Actions, and data-quality tooling.
Senior Data Analyst at Aegis London
Position posted 3 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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