Analytics Engineer

About the Role

The Analytics Engineering team is a key part of the broader Data Team within the Technology division. We’re growing and excited to welcome a new Analytics Engineer to join us! Our mission is to transform data into actionable insights, empowering analytics, product, finance, and risk teams to extract the value and information they need. At [Employer hidden], we’re committed to leveraging data to make smarter decisions for our customers. As an Analytics Engineer, you’ll dive into your domain, build a deep understanding of the data, and create high-quality data products. These products will be well-structured, reliable, and incorporate robust controls and quality checks using our selected tools. In line with [Employer hidden]’s strong focus on autonomy and empowerment, you’ll take ownership of the daily operation of our data marts. This includes resolving issues, escalating when necessary, and ensuring smooth operations. Beyond technical responsibilities, you’ll collaborate closely with stakeholders to share your data knowledge and expertise. Additionally, you’ll support the team by conducting code reviews and validating data, ensuring our work meets the highest standards. This role offers a dynamic environment where you can make a real impact while contributing to a culture of excellence and collaboration. You would report directly into the Head of Analytics Engineering.

What you'll do

• You'll collaborate with stakeholder teams to identify customer needs and deliver effective solutions that generate value for the business.
• You'll model raw data into clean, tested & reusable datasets enabling analysts and other stakeholders to understand and use data more effectively.
• You'll take ownership of existing data assets and identify ways to simplify and optimise them.
• You'll develop good relationships with product teams to understand the changes that are coming and how this might impact the processes that you own.
• You'll make your data sets a wonderful experience to use and support by providing great documentation and robust quality checks.
• You would get involved in troubleshooting and investigation of issues, liaising across teams to find solutions.
• You would provide input into improving how the team works and how to improve our processes, standards, and best practices to improve the quality and consistency of what we produce.
• You'll help, support and mentor other members of the team and our stakeholder group with data knowledge and skills.
• You'll support other team members by delivering code reviews and data validation checks to make sure we keep our standards.

Who you are

• Previous experience in an analytics engineering role
• Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, BigQuery)
• Proficiency with dbt or similar data transformation tools
• Knowledge of data governance and best practices for data security
• Clear and concise communication skills to explain complex technical concepts to non-technical stakeholders
• Analytical mindset with attention to detail and curiosity to find the edge cases in data that might impact its use
• Excellent problem-solving skills
• Embraces new technologies and stays updated with the latest trends and tools in data analytics & engineering & AI

Desirable

• Experience with Python or Airflow
• Experience in CI/CD pipelines for data engineering workflows

Company Information

Company: [Employer hidden]

Employees: 501-1000 employees

Industry: Fintech, B2C, Lending, Financial Services

About [Employer hidden]: [Employer hidden] has been a pioneering force in the world of finance since 2005, lending out billions in personal loans since its inception, before the launch of its bank in 2020. Its depth of lending experience makes it a digital bank with a difference - offering all the benefits customers have come to expect from a challenger bank, but backed up by 16 years of know how. [Employer hidden] has carved out a strong position for itself in UK fintech, offering more than just loans with products like savings accounts and credit cards. And its clear focus on lending and saving has paid off, with recent investment fueling both product growth and its entry into business lending. The bank also made its first acquisition, snapping up 'buy now, pay later' platform DivideBuy, as part of its expansion strategy. On top of that, [Employer hidden] is now boasting two consecutive years of profit doubling, a rare feat in digital banking. Backed by fresh funding, it's now pushing into new territory with plans to launch a current account and integrate generative AI into customer services.

Benefits

• 2-3 days a week in the office. We value face-to-face collaboration and a good work-life balance.
• Option of working from abroad for up to 120 days a year!
• 25 days holiday as standard, rising up to 30 days.
• Private medical insurance through Vitality Health.
• Free Headspace access.
• 16-weeks full pay for all new parents.