Senior Data Analyst

Genio; Leeds; Hybrid; GBP 57,000 - 67,000; Full time

Job summary

A leading tech company based in Leeds is hiring a Senior Data Analyst to enhance their data-driven decision-making. In this role, you will transform raw data into insightful reports while collaborating with cross-functional teams. You will enjoy multiple benefits, a supportive culture, and flexible working arrangements.

Benefits

33 days annual leave

EMI Share Options Scheme

Generous learning allowance

Flexible hours

Home working setup

Free office parking

Enhanced maternity and paternity leave

Qualifications

• Experience with SQL and data visualization tools (Tableau, Looker, Power BI).
• Hands-on experience with dbt and data modeling.
• Ability to explain technical content to non-technical stakeholders.

Responsibilities

• Create regular and ad-hoc reports using data visualization tools.
• Share impactful insights about user interactions.
• Help drive the adoption of data platforms across Genio.

Skills

SQL

Data Visualization

Analytical Thinking

Collaboration

Curiosity

Tools

dbt

Databricks

Job description

Hi we’re Genio (formerly Glean). We make study software that makes learning quicker and easier for everyone.

• We’re a SaaS scale up and one of the fastest growing tech companies in the North.


• There’s 100+ of us around the UK with our HQ in Leeds.


• Our software is award-winning and used by 100,000s of students at over 800 universities & colleges worldwide.


• We’re growing so we can achieve our mission to support 1 million students to become better learners by 2026.

Join our growing team as a Senior Data Analyst at Genio!

This is an initial 12-month FTC covering a period of maternity leave, but you will be supported with any career growth and development during that time.

As a Senior Data Analyst at Genio, you’ll play a key part in helping us level up our data maturity journey. You’ll turn raw data into powerful insights, build out visualisations, and help us understand how our users interact with our product. Most importantly, you’ll champion a culture of data-driven decision making across the business.

Meet the team:

You’ll be joining the Technology function, made up of Engineering, Product, Product Marketing, UX, Customer Experience and Data – all working closely together in cross-functional squads to build the best product for our users.You’ll work closely with Data Engineers, fellow Analysts, and teams across the business like Customer Experience, Learning, and Engineering. You’ll report into our Head of Data and be part of the Data team’s mission to empower everyone at Genio to use data with confidence and clarity.

To give you an idea of who you may work closely with:

• Phil - Head of Data, toddler wrangler, and sports enthusiast


• Matt - Senior Analytics Engineer, enjoys funky bass line and gifs, occasionally makes ice cream


• Emma - Senior Data Analyst, dog lover, and in the middle of a house renovation


• Alex - Data Engineer, loves Krav Maga, furious knitter


• Nathan - Data Scientist, AI and cooking enthusiast

What you’ll be doing:

• Analyse & Visualise: Create both regular and ad-hoc reports using data visualisation tools to help us make better decisions.


• Tell stories with data: Share interesting and impactful insights that help teams understand what’s working and what’s not.


• Champion data tools: Help drive the adoption of data platforms across Genio, and support teams in getting the most from it.


• Model & Maintain: Use dbt to model data and maintain reporting schemas in Databricks.


• Collaborate & Connect: Work closely with teams across Genio to ensure we’re using the right data in the right ways.


• Keep it clean: Partner with Data Engineers to make sure our data is accurate, consistent, and well-structured.


• Promote best practice: Support others in how they use and visualise data, and help maintain high standards of quality and consistency.

About you:

• You’re experienced in SQL, dbt, and ideally experienced with Databricks (or similar tools).


• You bring hands-on experience and practical know-how, shaped by real-world projects rather than just time on the clock.


• You’re great at bridging the gap between teams, with a knack for explaining technical stuff in a way that makes sense to everyone.


• You’ve used data visualisation tools (Tableau/Looker/Power BI etc.) with a strong ability to turn complex data into clear, engaging visuals.


• You have a strong understanding of the importance of clean, reliable data and how to maintain it.


• You’re comfortable collaborating with stakeholders across various teams.


• You’re committed to quality, consistency, and promoting effective data use.


• You’re naturally curious and pragmatic, with a drive to uncover the “why” behind the numbers.

Not every one of the above is essential, but hopefully it gives an idea of what we find useful day to day.

Salary and benefits:

£57,000 - £67,000 dependent upon experience

️ 33 days annual leave (Inclusive of bank holidays)

3 gifted days off at Christmas
EMI Share Options Scheme

Generous individual learning and training allowance

Truly flexible hours to suit when you work best

Full home working set up and beautiful collaborative office space

Free Leeds City Centre office parking

Nomad working policy with family travel insurance

Enhanced 26 weeks maternity and 4 weeks paternity (fully paid)

2 volunteering days per year

???? Health cash plan (from glasses to massages)

6% employer pension contribution

Location:

We have a beautiful office space in Leeds and we love it when we get together to collaborate in person. We typically operate a hybrid way of working, however some of our roles support remote working within the UK, if you live more than 50 miles from the office.

We will discuss ways of working with you at interview however if you have any questions before you apply please reach out to [e-mail]

What to expect next:

We’ll review your application and provide a response within 1 week. Even if it’s not the news you’d hoped for, we appreciate it’s good to know either way.

If we invite you to meet with us for interview, here’s an overview of what the process will look like:

1. Screening interview with someone in our Recruitment team (30 minutes).


2. Technical test; you will have 1 week to complete the test when it suits you best. The test isn’t timed but we suggest no longer than 3 hours.


3. Interview with the Head of Data and one other data team member. This consists of competency based questions and a task review.


4. Final stage interview which includes a 1 hour culture and values interview. This will be with our Head of Data and another Genio team member.

Ahead of your interviews you will receive a confirmation email outlining who you’ll be meeting and when, anything you’ll need to prepare in advance and any resources we think you might find helpful.

Ahead of your interview you will receive a confirmation email outlining who you’ll be meeting and when, anything you’ll need to prepare in advance and any resources we think you might find helpful.

Interested in learning more about a career at Genio?

Here are a few further resources:

About Genio

Working at Genio Blog

The Genio Study Tools

Not quite the right role for you however you’d love to be a part of Genio’s journey?

Let’s connect! Reach out to [e-mail] and we’ll add you to our network, to keep you updated with any future opportunities we think you might be interested in.

Applicant Privacy Notice

We think it’s important that you understand how we use and handle your personal information, so here’s a link to our privacy notice. By submitting your application, you’re confirming that you’ve read and understood this notice.

About Us

At Genio we envision a world where every person has the tools and confidence to expand what’s possible through learning. We believe this happens when you equip, empower, and encourage learners with courses to develop study skills, and tools that put knowledge into action, unlocking better learning.

We think carefully about how people learn, and we're equally thoughtful about how we work. We seek meaningful impact at scale by helping individuals unlock more of their potential and by learning continuously ourselves.

If you're driven by empowering individuals to reach their full potential through learning, you could be exactly who we're looking for. Check out our live roles below.