Data Analyst Product & Engineering · Belfast ·
Data Analyst Product & Engineering · Belfast ·

Data Analyst Product & Engineering · Belfast ·

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Transform raw data into insights and collaborate with teams to enhance customer relationships.
  • Company: Kadence is revolutionising hybrid work with innovative solutions for workplace coordination.
  • Benefits: Enjoy flexible working, 5 weeks vacation, competitive salary, and private healthcare.
  • Why this job: Be part of a mission-driven team shaping the future of work in a fast-growing startup.
  • Qualifications: Experience in data analysis, strong SQL skills, and familiarity with BI tools required.
  • Other info: Join a fun team with regular socials and a vibrant office in Belfast.

The predicted salary is between 36000 - 60000 £ per year.

The world of work is changing forever - not just where it happens, but how and why. People want flexibility, meaning, and connection. At Kadence, we’re building the operating system for hybrid work, helping organisations coordinate people, places, and projects so everyone can do their best work, wherever they are. Our mission is to help every organisation unlock the full potential of its people through smarter coordination of workplaces, schedules, and teams. From intelligent space management and real-time workplace analytics, to seamless team coordination, AI assistants, and meaningful workplace events, Kadence helps companies create environments where work flows and people thrive. Backed by world class investors and trusted by over 500 organisations, Kadence is growing fast. With established teams in Belfast, London, and Salt Lake City, we’re just getting started. If you’re excited by mission-driven impact, big ideas, and helping define the future of work - join us.

WHAT YOU'LL DO

  • Work alongside our data engineering team to transform raw data into meaningful, usable insights for both internal and external stakeholders.
  • Design and deliver customer facing insights that reveal how people use spaces, coordinate onsite time, and gain value from hybrid work.
  • Work closely with customer success and sales teams to deliver insights that deepen customer relationships and demonstrate value.
  • Analyse user journeys to identify patterns in activation, retention, engagement, and churn - informing both strategic direction and tactical decisions.
  • Collaborate with product managers, designers, and engineers to embed data into decision making across the product lifecycle.
  • Build dashboards and reports that bring clarity to product KPIs, user behaviour, and business health.
  • Contribute to the definition and evolution of product metrics: what we track, how we measure success, and how we communicate performance.
  • Help shape roadmap priorities through data storytelling, combining qualitative and quantitative insights.
  • Ensure high data quality and consistency across our tooling and reporting layers.
  • Contribute to a growing culture of data informed decision making at Kadence.

WHAT YOU BRING

  • Solid experience as a data, product, or business analyst, ideally in a SaaS or product-led environment.
  • Strong SQL skills and the ability to explore, clean, and interpret large data sets with confidence.
  • Proven ability to surface actionable insights from both product usage and customer data.
  • Experience with BI and visualisation tools like Metabase, Looker, Tableau, or similar.
  • Experience using Python for data analysis (e.g. Pandas, NumPy) in a production or exploratory context.
  • Familiarity with key product analytics concepts like activation, retention, feature adoption, churn, and stickiness.
  • Comfortable collaborating cross-functionally with engineering, product, design, and go-to-market teams.
  • Strong communication skills and an ability to explain complex data clearly and persuasively.
  • A proactive, curious mindset and a focus on finding clear signals in the noise.
  • Bonus: Experience with event-based analytics platforms (e.g. Microsoft Clarity, Plausible).

WHAT WE OFFER YOU

  • A front-row seat in a fast scaling, early stage startup.
  • Working on cutting edge problems with brand new technologies.
  • Join a passionate and fun team that is quickly expanding in Belfast and beyond.
  • We embrace hybrid working - collaborate from home or make use of our sleek office in the heart of Belfast city centre with access to a rooftop terrace, private member coffee lounge and regular wellbeing events.
  • Regular company socials including an annual offsite to get to socialise with your colleagues in person.
  • 5 weeks vacation per annum (plus public holidays), flexible work/life balance.
  • Competitive salary and stock options.
  • Private healthcare and company pension.
  • Cycle2work scheme.

Data Analyst Product & Engineering · Belfast · employer: Kadence Limited

At Kadence, we are redefining the future of work with a mission-driven approach that prioritises flexibility, connection, and meaningful impact. As a Data Analyst in our Belfast office, you'll be part of a dynamic team that values collaboration and innovation, offering you opportunities for professional growth while working on cutting-edge technologies. Enjoy a vibrant work culture with hybrid options, generous vacation time, competitive compensation, and a focus on employee wellbeing, all within a supportive environment that encourages data-informed decision making.
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Contact Detail:

Kadence Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst Product & Engineering · Belfast ·

Tip Number 1

Familiarise yourself with Kadence's mission and values. Understanding their focus on hybrid work and how they help organisations can give you an edge in interviews, allowing you to align your answers with their goals.

Tip Number 2

Brush up on your SQL skills and be prepared to discuss specific examples of how you've used data to drive insights in previous roles. Being able to articulate your experience with large datasets will demonstrate your capability for the role.

Tip Number 3

Showcase your experience with BI tools like Tableau or Looker by preparing a portfolio of dashboards or reports you've created. This practical demonstration of your skills can set you apart from other candidates.

Tip Number 4

Network with current or former employees of Kadence on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.

We think you need these skills to ace Data Analyst Product & Engineering · Belfast ·

SQL
Data Cleaning
Data Interpretation
Business Intelligence Tools
Data Visualisation
Python for Data Analysis
Pandas
NumPy
Product Analytics Concepts
Cross-Functional Collaboration
Strong Communication Skills
Data Storytelling
Proactive Mindset
Attention to Detail
Event-Based Analytics Platforms

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst position at Kadence. Tailor your application to highlight how your skills and experiences align with their mission and the specific tasks outlined in the job description.

Highlight Relevant Experience: In your CV and cover letter, emphasise your experience as a data analyst, particularly in SaaS or product-led environments. Showcase your strong SQL skills and any experience with BI tools or Python for data analysis, as these are crucial for the role.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your enthusiasm for Kadence's mission. Discuss how you can contribute to their goals of enhancing hybrid work through data insights and storytelling.

Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which is essential for a data-focused role.

How to prepare for a job interview at Kadence Limited

Showcase Your Data Skills

Make sure to highlight your SQL and Python skills during the interview. Be prepared to discuss specific projects where you've used these tools to analyse data and derive insights, as this will demonstrate your technical proficiency.

Understand the Company’s Mission

Kadence is focused on transforming hybrid work. Familiarise yourself with their products and how they help organisations. This knowledge will allow you to align your answers with their mission and show that you're genuinely interested in contributing to their goals.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Practise articulating your thought process clearly, as this will showcase your analytical skills and ability to communicate complex ideas effectively.

Demonstrate Cross-Functional Collaboration

Since the role involves working with various teams, be ready to share examples of how you've successfully collaborated with product managers, designers, or engineers in the past. Highlighting your teamwork skills will show that you can thrive in a cross-functional environment.

Data Analyst Product & Engineering · Belfast ·
Kadence Limited
K
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