Doit on cord

Doit

Product Analyst

External position
Remote anywhere
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Cloud and Infrastructure · Consultancy
Your cloud, simplified
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
17 hours ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Senior
Core skills considered: Business Analysis, Data Analysis, Data Modeling, Data Pipelines
Other skills considered: Data Visualisation, SQL, Product analytics, Customer feedback management

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: Remote
Work from: Anywhere
Visa sponsorship: Not available

Job Description

We're hiring a Product Operations Analyst to strengthen how R&D decisions are made at DoiT and to help drive our AI transformation across the organization.

This role is built for someone who cares deeply about business results, not just the data itself. You care about the customers we serve and use AI tools, data, and voice of the customer systems as tools to improve how we discover, define, build, mature, and iterate our products.

You'll operate at the intersection of product, data, AI, and customer insight helping build and maintain the measurement and analytics foundations that ensure our product investments are grounded in reliable signals and real customer needs.

Reporting to the Head of Product Operations and part of the Product and R&D organization, this is a high-impact individual contributor role suited for someone with strong data, analytics, and AI experience who enjoys building scalable processes and working cross-functionally.

As DoiT's product portfolio grows, clear measurement and structured customer insight become increasingly important. This role helps ensure that product decisions are informed, measurable, and aligned with business outcomes, enabling the team to build with greater confidence and focus.


Responsibilities

  1. Product Measurement & Instrumentation

Support and evolve the framework and systems that turn product behavior into trusted, actionable signals:

  • Partner with Engineering to define and maintain event taxonomy, tracking standards, and instrumentation quality
  • Build and maintain scalable, self-service dashboards for product teams
  • Help establish and document clear metric definitions as a shared source of truth.
  • Contribute to improving how and what we measure as the product evolves.
  • Leverage AI to repeatedly unlock insights and recommendations from these signals

Outcome: Product teams have reliable data to evaluate performance and make informed decisions.

  1. Analytics & Data Foundations

Strengthen the product analytics ecosystem and data models that power decision-making.

  • Work within our product analytics stack (e.g., Mixpanel, Segment, Looker) to ensure accurate and accessible reporting.
  • Build and maintain dbt models for core product entities and behaviors.
  • Contribute to a clean, usable metric layer for business stakeholders.
  • Help structure and analyze Voice of the Customer inputs (e.g., support, churn, NPS, sales feedback, customer interviews)
  • Support data quality through testing, monitoring, documentation, and automation
  • Deploy the best AI tooling available to make our data a differentiator

Outcome: Product data is systematically consistent, accessible, and trusted.

  1. Insight Generation & Reporting

Translate product usage and customer signals into clear, actionable insights.

  • Deliver recurring product analytics reporting (adoption, engagement, retention)
  • Contribute to analytics readouts to business stakeholders and executives with clear findings and recommendations
  • Perform analyses that connect product behavior to revenue and retention outcomes
  • Support automated reporting and AI-assisted workflows while maintaining metric integrity
  • Strive to make insights and reporting automated and self-service, heavily assisted through best practices with emerging AI techniques

Outcome: Product and business stakeholders regularly use analytics and customer insights to inform roadmap and investment decisions.


Qualifications

  • 5+ years of experience in product analytics or related roles. Experience working closely with digital product teams and influencing decisions through data.
  • AI-First mentality. Must have a practical understanding of how AI is reshaping analytics workflows. The ideal candidate will have experience using AI to accelerate insight generation, documentation, and distribution while understanding how to build guardrails, trust, and safe operationalization of AI.
  • Systems thinker & operator's mindset. Track record of building systems that scale across many groups.
  • A "Builder" mindset. We have bold ambition, and we move fast. Whether we're missing processes, systems, tools, data, or buy-in, your instinct must be to create, solve, and build paths that may not exist today.
  • Comfort operating in ambiguity. Ability to prioritize, structure problems, and execute independently while collaborating across teams.
  • Clear communicator. Experience presenting analysis to product managers and business stakeholders, translating complex findings into actionable recommendations.
  • Strong analytical foundation. Advanced SQL required. Experience with event-based analytics and familiarity with tools such as Mixpanel (or similar), Looker (or similar BI tools), Segment (or similar), and dbt.
  • Domain familiarity (preferred). Exposure to public cloud environments (AWS, GCP, Azure), FinOps/cloud cost management, and enterprise SaaS company concepts is preferred.
Product Analyst at Doit
Position posted 2 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
Alex Yeates on cord
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