Data Insight Analyst (product biased)

Data Insight Analyst (product biased)

Department: Data & Analytics

Employment Type: Full Time

Location: London

Description

Hybrid: Wednesdays and Thursdays in-office

money.co.uk exists to help consumers make more informed financial decisions. Our free, online comparison service allows consumers to compare financial products, from credit cards to savings accounts, loans to travel money. We want our users to feel reassured that we're on their side when it comes to their finances.

We are also known as the Financial Services team for Uswitch, Confused and money.co.uk, and our goal is to be the UK’s favourite way to choose the best financial products for big life events - from Credit Cards to use while travelling to Savings Accounts to help move you closer to a dream purchase. As we continue to grow and expand our services, we are looking for talented individuals who share our passion for making a positive impact on people's lives. If you want to be part of a team that is transforming the way consumers navigate their finances, we would love to hear from you.

About the role:

As a mid-level Analyst at RVU, your input will be crucial in driving business impact and decision-making by bridging the gap between data and business strategy. You will be responsible for collaborating with cross-functional teams to develop and implement effective data strategy within your business area. As our 4th member of the FS Analytics team, you will play a pivotal role in crafting ultimate experiences for money.co.uk, Uswitch, and Confused.com users, enabling them to make better financial decisions.

What you’ll be working on:

Using tools and databases including BigQuery, Tableau, DBT, Python, and Hightouch, you'll tackle important problems that we’re only just starting to understand. You will be:

• Working closely with the Product teams delivering insights that are not only accessible but actionable, supporting strategic decision-making.
• Collaborating with cross-functional project teams to understand business requirements and translate them into lower-level data requirements.
• Working with the engineering team to build and refine dbt models to transform the data in a desired form suitable for analysis and reporting; as well as to strengthen data management and quality processes across data collection, cleaning, transformation, and reporting.
• Supporting the development of data-related procedures and guidelines to be at the forefront of best practice.
• Liaising with external partners to facilitate and execute third-party data integrations.
• Creating interactive dashboards and reports to present analytical findings in a clear and concise manner to senior management.
• Translating complex data analyses into clear, compelling narratives for both technical and non-technical stakeholders, ensuring insights lead to informed decisions.

Some of the questions/projects that you may be working on:

• Automate reporting, build scalable dashboards, and empower stakeholders with self-serve analytics tools.
• Design and implement data pipelines and dashboards to enable A/B testing at scale.
• What events are critical to track to understand the performance of our landing pages?
• How can we enable our marketing channels to effectively target the right audience?

What we’re looking for:

• We are a small and fast-moving team, and you will need experience working to dynamic priorities, working with cross-functional stakeholders to understand and define problems, scope out end-to-end solutions, and manage delivery to completion.
• Excellent SQL skills; particularly in reference to Google BigQuery with experience in using analytical and data tooling such as Google Sheets, Python, Tableau, Git, dbt etc.
• Experience working with raw data, setting up data tracking from scratch for new and existing products.
• Experience working with customer engagement data and marketing funnel data is a plus.
• Excellent attention to detail, focus on delivering work to a high standard, and ability to work efficiently to project deadlines.
• Pragmatism; understanding of when analysis is good enough to finish.
• Statistically literate, competent with some statistical testing or modelling techniques.

Here’s a flavour of what our analysts have been up to this week:

• Migrated events tracking from Google Analytics to in-house events tracking system.
• Setup tracking to report key metrics for a new user journey launched, aimed at understanding our customer profiles better.
• Integrated partner funnel data to get a full funnel conversion view of our customer base.
• Launched a more sophisticated channel attribution model enabling the marketing teams to have a better understanding of the quality of traffic they drive.

Our commitment to you:

At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.

What we offer:

We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:

• 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance).
• A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere.”
• Employer matching pension contributions up to 7.5%.
• A one-off £300 “Work from Home” budget to help contribute towards a great work environment at home.
• Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life.
• 25 days holiday (increasing to 30 days) + 2 days “My Time” per year.
• Private medical cover, critical illness cover, dental plans, and employee assistance programme.
• Employee discounts programme.
• A healthy learning and training budget.
• Electric vehicle and cycle to work schemes.
• Free in-office gym, accessible 7 days a week.
• Free breakfast in the office daily.
• You’ll be equipped with great technology (choice of Mac or Windows).
• Free access to the Calm and Peppy app for physical and mental health.
• Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.

As a tech company who strives to get better every day, we use Metaview during the interview processes for note-taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.