Analytics Engineer (Payments & Finance Data)

Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle-without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support.

Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact.

With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace - and stick to - new healthy habits. To learn more, visit simple.life.

Simple is looking for an Analytics Engineer to become the owner of our finance data.

This is a hands-on role with clear ownership of the finance data domain. You’ll bring data together from different sources, improve its quality, run reconciliation, and help keep our financial models reliable.

You won’t be working on this alone. Payment analysts and data engineers will support you with domain knowledge and integrations, but we need someone who can take ownership of the area and make sure finance data is accurate, clear, and useful for the business.

A big part of the role is getting deep into the data: finding discrepancies, improving reliability, and making sure Finance and business teams can trust the numbers behind reporting and planning. You’ll also help explain complex data issues in a practical way, so the team understands what is happening, why it matters, and what needs to be done.

This role would suit someone who enjoys autonomy, likes solving messy data problems, and wants to have a visible impact on how the business uses data.

What You'll Do

• Care for the finance data domain end to end. You'll be the person the company trusts on finance data;
• Develop, maintain, and improve data products for finance department (reports, alerts, automations, etc) including financial data models in Pigment using Python, Snowflake, Airflow, and dbt;
• Build and run continuous monitoring for data freshness, completeness, quality, and reconciliation breaks; investigate incidents and drive them to resolution;
• Develop LLM agents to accelerate analysis, tooling, documentation, and automation across the finance data stack.

What We're Looking For

• You get real satisfaction from the moment a reconciliation finally ties out;
• You're equally happy with a quiet afternoon of investigation and a call where you defend your numbers to Finance leadership;
• Strong Python and SQL experience in a data engineering or analytics engineering role;
• Experience building data models with dbt;
• Commercial experience with real-world financial or payments data, and comfort designing systems that gracefully handle messy, duplicated, delayed, or inconsistent input;
• Experience owning reconciliation and/or data-quality processes, including monitoring and incident resolution;
• A strong ownership mindset. You'll set direction, ask good questions, and keep everyone aligned.

Perks And Benefits

• Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product.
• A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options.
• In-office, remote and hybrid work opportunities.
• The equipment whatever you need to be happy and productive.
• A premium SIMPLE subscription.
• 21 days annual leave, plus bank holidays (those observed where you live).
• Flexible hours. We focus on your results, not how long you spend at your desk.

About Our Values

• Think deeper: We understand that in order to grow we need to make all our decisions reality-based and change our opinion based on what we learn. We appreciate data coming in various forms – quantitative and qualitative, feedback from users and colleagues, and strong and weak signals.We treat data as the main source for leveraging insights and expect people at every level to have conversations that start with data.
• Focus on impact: Results and speed matter. When we are competing to become an A-player in the digital health market, we don’t have the luxury of deliberation. We need to make decisions and changes quickly and, swiftly learn from our mistakes.We prioritize what will have the greatest impact and aren’t distracted by anything else. We create products that benefit users while we are meeting our metrics.
• Take ownership: We seek to improve all facets of our company even in ways beyond our job description. We seek and take responsibility for our actions and their impact. We value and set high expectations for our own work so that it can add to the overall quality and innovation results of the team. Each one of us is empowered to make this company a success, take the lead to resolve disagreements and systemic issues.
• Push the limits: We encourage our team to explore new ideas, challenge conventional thinking, and continuously improve work. This mindset can lead to breakthroughs in product development, improved operational efficiency, and increased competitiveness in the market. We believe that a culture and mindset of constantly striving to exceed existing standards, boundaries, or expectations that include innovation, experimentation, and a willingness to take risks, can bring us success. We don't accept what someone says as truth if we disagree with it, no matter what authority that person has in the company and express ourselves directly, not through back channels. We challenge ideas, from policy to product decisions, and always seek to understand the reason behind what we do.
• Be a Championship Team: As a part of the championship team, you must improve your own performance constantly also know your teammates, their talents and skills and be focused on a common goal and how to achieve it together. We hold each other accountable for our contribution to the shared success or failure, and we constantly look for ways to help our colleagues to improve and for us to perform better as a team. We collaborate within the team in order to compete with challengers in the outside world. We build relationships of trust. We provide our teammates with the autonomy and support they need to deliver their part of the goal.