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Data Analytical Engineer

Who are Yapily

Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking.

Yapily is an open banking infrastructure platform solving a fundamental problem in financial services today: access. Historically, card networks have monopolised the global movement of money, and banks have monopolised the ownership of, and access to, financial data.

Yapily was founded to challenge these structures and create a global open economy that works for everyone. We exist behind the scenes, securely connecting companies - from growth to enterprise - to thousands of banks worldwide, enabling them to access data and initiate payments through the power of open banking.

What we’re looking for:

We are currently looking for a Data Analytical Engineer to join our team, the role plays a crucial part in the management and transformation of data to support decision-making processes within our organisation. The job entails an intersection between data engineering and data analysis, ensuring that data is accessible through Looker (BI Tool), and maintaining and adding to the business logic for our current metrics using DBT, additionally the candidate will play pivotal role in the commercial team and Finance team, by helping price new products and reviewing contracts and ensuring that clients are invoiced correctly.

We are looking for someone who ideally has experience of working in a Data Team and is proficient with DBT, Bigquery and Looker. 

Learn more: https://www.yapily.com/company/about-

  • Building new processes to map Data to billable events and KPIs, working with Data engineers to ensure this.
  • Data Mapping, managing the definition and Business logic for KPIs for the company, across Product team, Operations team, Commercial and Customer Success teams, using DBT and Look-ML.
  • Will be in charge of dashboarding and will be the owner of Looker, the company’s BI tool.
  • Billing infrastructure & System, ensuring all clients are billed correctly according to contracts and in charge of invoicing and revenue stats. 
  • Working with finance, to help calculate commissions & NDR.
  • Working with legal to map contracts onto the current billing system, this may include introducing innovative ways to ensure we can bill clients for new products. 
  • Helping Operations to forecast revenue and cost. 
  • Compliance, working closely with compliance to report Data to Regulatory bodies.
  • Dashboarding, in charge of dashboards to key stakeholders, such as management and finance.
  • Responsible for all the data across various systems to be accurate, includes pushing data to different systems.

The ideal candidate has…

  • A minimum of 10 years of relevant working experience.
  • Experience of working with Looker, Look-ml code.
  • Experience with DBT.
  • Experience with SQL & Big query.
  • Experience with Python.
  • Excellent communication and presentation skills.






Why You’ll Love Working With Us

  • Competitive Pay & Equity – We offer a great base salary plus equity, so you’ll own a part of what we’re building together.
  • Generous Time Off – Enjoy 25 days of holiday each year (plus bank holidays if you’re in the UK), and earn an extra day each year after your first, up to 5 more!
  • Hybrid Working – Life’s about balance. All we ask is for 2 days in the office every week.
  • Nomad Working – Feel like a change of scenery? Work from anywhere or up to 30 days each year.
  • Family First – We offer enhanced Maternity and Paternity leave because your family matters.
  • Private Medical Insurance – You’ll get cover through BUPA, because your health is a priority.
  • Mental Health Support – Access personalised mental wellness support through our award-winning partner.
  • Future-Ready Perks – Including a solid company pension, life assurance, and income protection.
  • Learn & Grow – A £200 annual budget for learning and personal development. Invest in you!
  • Cycle to Work Scheme – Commute the healthy way with support from our cycle to work programme.
  • Perks Hub Access – Enjoy exclusive discounts and offers through the Yapily Benefits Hub.
  • Refer a Friend – Bring someone great onboard and earn £1,000 with our referral scheme.
  • Team Vibes – Monthly socials, team lunches, and a budget to hang out and have fun (yes, pizza included 🍕).
  • Office Snacks & Doggies – Daily snacks to keep you going, and yes – we’re proudly a dog-friendly office 🐾.

Average salary estimate

$110000 / YEARLY (est.)
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$100000K
$120000K

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What You Should Know About Data Analytical Engineer, Yapily

Are you ready to embark on an exciting journey as a Data Analytical Engineer with Yapily? At Yapily, we are on a mission to drive innovation in financial services through open banking, and we need someone like you to help us transform data into meaningful insights! In this role, you will work at the intersection of data engineering and data analysis, ensuring that our data is accessible via Looker, our Business Intelligence tool. Your contributions will directly support our decision-making processes, as you will be responsible for managing and refining our data infrastructure. From creating new processes to map data for KPI tracking to collaborating with both the commercial and finance teams on product pricing and invoicing, your efforts will enhance our operations significantly. We're looking for someone with extensive experience, ideally 10 years or more, who is proficient in DBT, BigQuery, SQL, and Python. If you're excited about building dashboards for key stakeholders and ensuring data accuracy across various systems, then Yapily is the place for you. Not only will you be part of a team that drives change, but you'll also enjoy a competitive salary, equity options, generous time off, and flexible working arrangements. So, if you’re ready to take the next step in your career while making a meaningful impact, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data Analytical Engineer Role at Yapily
What does a Data Analytical Engineer at Yapily do?

As a Data Analytical Engineer at Yapily, you will bridge data engineering and analysis, ensuring the accessibility of data through Looker while refining business logic for metrics using DBT. Your role will also involve working closely with the finance and commercial teams to ensure accurate invoicing and pricing for new products.

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What skills are required for the Data Analytical Engineer position at Yapily?

To thrive as a Data Analytical Engineer at Yapily, you should have at least 10 years of relevant experience, proficiency in Looker, DBT, SQL, BigQuery, and Python, along with excellent communication skills to effectively share insights with various teams.

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How does a Data Analytical Engineer contribute to decision-making at Yapily?

The Data Analytical Engineer plays a crucial role in transforming and managing data that supports decision-making within Yapily. By ensuring that data is accurately captured and accessible, you enable teams to make informed choices regarding pricing, invoicing, and forecasting revenue.

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What are the primary tools used by a Data Analytical Engineer at Yapily?

In your role at Yapily, the primary tools you will utilize include Looker for business intelligence, DBT for transforming data, and BigQuery for managing large datasets. Familiarity with Python will also help in data manipulation and analysis.

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What makes Yapily a great place to work for a Data Analytical Engineer?

Yapily offers a vibrant work environment with competitive pay and equity options. You'll benefit from flexible working arrangements, generous vacation days, and a strong focus on personal development. Plus, our supportive team culture fosters growth and collaboration among talented individuals.

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Common Interview Questions for Data Analytical Engineer
How do you ensure data accuracy across different systems?

To ensure data accuracy, I implement systematic checks and balances like cross-verifying data across systems, maintaining a rigorous data governance approach, and conducting regular audits. I also utilize monitoring tools to quickly identify any discrepancies.

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Can you describe your experience with Looker and how you've used it in past roles?

In my previous roles, I extensively used Looker to design intuitive dashboards that provided real-time insights for stakeholders. I worked on LookML coding to create new measures and dimensions, ensuring our metrics were aligned with business objectives.

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What strategies do you use to communicate complex data insights to non-technical stakeholders?

I focus on storytelling with data by breaking down complex analytics into clear visualizations and narrative formats. By using analogies that resonate with my audience, I can help non-technical stakeholders grasp the implications of the data.

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How do you approach pricing new products while ensuring data integrity?

I approach pricing by analyzing historical data and market trends, collaborating with finance to assess feasibility. Maintaining data integrity involves consistent documentation and verification processes during analysis to support accurate pricing decisions.

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Describe your process for creating KPI dashboards. What steps do you take?

I start by collaborating with stakeholders to identify key metrics that align with business goals, followed by defining data sources and establishing metrics. After that, I utilize Looker to build the dashboard, ensuring it’s user-friendly and provides actionable insights.

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What are the main challenges you face when working with BigQuery and SQL?

One of the challenges is optimizing queries for performance, especially with very large datasets. I mitigate this by structuring queries efficiently and using appropriate indexing. Additionally, understanding the nuances of BigQuery's pricing structure is crucial in managing costs.

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How do you keep your skills updated, especially in a rapidly evolving field like data analytics?

I stay updated by regularly attending conferences, participating in online workshops, and following thought leaders in data analytics. I also set aside time each week to engage with new tools and techniques to directly apply innovative practices in my work.

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Can you give an example of when you improved a process in your previous role?

At my last job, I implemented an automated reporting system that significantly reduced manual entry errors and improved reporting accuracy. This process enhancement resulted in a 30% time savings for the data analysis team and allowed for more insightful strategic decisions.

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What role does compliance play in your work as a Data Analytical Engineer?

Compliance is crucial, especially in fintech. I work closely with the compliance team to ensure all data handling meets regulatory requirements. This includes accurate reporting to regulatory bodies and ensuring our data practices align with established standards.

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Why are communication skills important for a Data Analytical Engineer?

Communication skills are vital because translating complex data findings into a clear and actionable format is essential for cross-departmental collaboration. Effective communication ensures that data-driven insights lead to informed decisions across the organization.

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Yapily is an enterprise API connectivity platform, allowing companies to share financial data and access payment infrastructure. Designed and built for Open Finance, Yapily enables fairer and better financial products for everyone.

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Full-time, hybrid
DATE POSTED
April 15, 2025

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