Data Analyst

Data Analyst

Location: Fully Remote, UK or willing to work UK hours

Contract Type: Full-time, permanent, 40 hour per week Mon-Fri, subject to a 6 month probation

Interviews: Max 3 stages totalling around 3.5 hours

Reports to: Head of Product & Technology

Salary: We have benchmarked a salary in the region of £42-£50k, dependant upon experience

Why join us? 👋

We are a profitable SaaS business servicing the needs of international law firms and government departments, mostly in the USA and UK. We’re on a mission to help our clients become as efficient as possible when it comes to managing huge volumes of information - so that lawyers and business leaders can stay on top of the news that matters, and as a result make faster and better decisions.

The Role:

We are looking for our next Vabler and are seeking a Data Analyst. The ideal candidate will play a pivotal role in driving insights that fuel user acquisition, retention, and expansion through the product itself. You will leverage data to understand user behaviour, measure success, and optimise our customer journey.

You’ll act as a strategic partner, ensuring that all teams are aligned and data-driven insights are used to drive decision-making. We know that you will have meticulous attention to detail, excellent analytical skills, and the ability to work collaboratively across our fully remote team. Your expertise will help shape data-driven strategies to support our continued growth in the competitive SaaS market.

We would love to hear from you if you have the criteria below: 📬

• A Bachelor’s Degree in Data Analytics, Statistics, Computer Science, or a related field.
• Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience is a plus)
• Proficiency in data analysis tools and languages, such as Python, R or similar for advanced data manipulation and analysis.
• Have an understanding of the data pipeline, with a familiarity of ETL processes to ensure clean, usable data.
• Familiarity with statistical analysis techniques e.g., regression, hypothesis testing.
• Experience working with large datasets and deriving actionable insights.
• Proficient in Lucene query syntax for querying and analysing data in OpenSearch.
• Strong SQL skills for working with AWS Quicksight to create reports and visualisations.
• Advanced Excel capabilities for quick data manipulation and supplementary analysis.
• Experience working with Google Analytics for user behaviour tracking and performance metrics.
• Familiarity with Hotjar for heatmaps and user interaction insights.
• Ability to define and monitor product KPIs and OKRs, with insights into user funnels and retention metrics.
• Effective communication and interpersonal skills, with the ability to work collaboratively across teams and present findings to both technical and non-technical stakeholders.
• The right to live and work within the UK or a self employed contractor who can work UK hours, within Europe.
• Worked within a remote team before and have experience of how it operates.

What would your responsibilities look like? 👀

• Collect, clean, and analyse data from various sources to identify trends and insights.
• Collaborate with departments, including Sales, Marketing, Product, Engineering, and Client Success, to understand their data needs and provide tailored insights.
• Provide statistical analysis to validate experiment results and recommend next steps.
• Ensure data integrity by regularly auditing and maintaining data cleanliness within systems like CRMs and marketing platforms.
• Partner with the Client Success team to identify and track key metrics driving client satisfaction and retention. 
• Develop models to predict churn and identify at-risk users.
• Provide training and tools for teams to access and utilise data effectively.
• Build and maintain dashboards for real-time monitoring of these metrics.
• Interpret data and generate actionable recommendations for us as a team.
• Analyse client behaviour to understand engagement patterns, activation rates, and drop-off points.

This is a great opportunity for you if:

🤸‍♂️You are interested in Product Led Growth and want to play a pivotal role in shaping data-driven strategies and providing insights that directly impact the company’s growth in a fast-paced environment.

🌟 Work in Tech with an established product and have autonomy in your role.

💚 Become a Vabler and join a great team, fostering a culture of collaboration.

🎢 Join a company looking to scale and who understands people are their greatest asset.

🌍 Be part of a fully remote and globally distributed team.

About you: 👀

As a Data Analyst, your role is pivotal in driving data-driven decisions within Vable and ensuring our success with the data provided. In addition to our essential criteria we will be looking for the following mindset:

• You’re passionate about using data to solve complex problems and drive impactful change.
• You’re self-motivated, work independently and take pride in delivering high-quality, impactful analysis.
• You proactively identify patterns, risks, and opportunities to build scalable, data-driven solutions.
• You're curious about how things work and how you can improve them.
• You're a collaborator who can build relationships across multiple teams,  in an honest and meaningful way.

• You’re structured and like organisation.
• You’ve an excellent work ethic and can manage workloads well.
• You are able to work effectively within a remote team, it can have its challenges.

To be successful in this role, your values matter just as much as skills. Does this sound like you? ✨

🟢We are Kind and Empathetic = Our behaviour and words assume the best in people

🟢We are Always A Team = We are bound together by accountability

🟢We are Curious = A bunch from various backgrounds. We ask questions, plan things out, push the boundaries, challenge the status quo and welcome creativity

🟢We Take Ownership & Deliver = We are focused on our goals and love the details

✅Why work for Vable? 

• You want ownership of the Data Analytics within Vable.
• We have a culture that we protect, we value the contributions each Vabler makes.
• We encourage constant learning so you can keep up to date. A yearly budget of £250 is made available to each Vable employee for continuous learning and development.
• We encourage creativity and like new ideas and concentrate on the Cultural Add, not fit.
• We provide comprehensive healthcare cover following probation.
• You receive a MacBook, monitor and other required technical equipment when you join.
• 33 days of paid leave a year inclusive of statutory holidays, based on where you live.
• Access to an Employee Assistance Programme through Oliva.
• We like our virtual socials and really do like to get to know everyone in the team.
• We are well established; we have been around for 20 years.

❌Why it may not be for you:

• We are a 40 hour week, Mon-Fri and have core hours, unless stated otherwise or agreed. Being a small remote team, it's how we operate.
• We have set norms and behaviours and each Vabler is expected to live up to these.
• While your primary focus will be on data analytics, you’ll collaborate with various departments, addressing diverse needs and functions while adapting to shifting priorities. If you prefer a narrowly defined role, this may not be the right fit.
• We have various meetings per week and people are expected to attend and contribute.
• Our roles are quite generalist and you will be expected to do areas that you perhaps don’t like or feel is not your job. No Vabler has this attitude and we get stuck in and pull our sleeves up.  If this isn’t you, best not apply.  
• Everyone has the opportunity to query, ask questions, have new ideas and we will give you our opinion. We operate on continuous feedback and recognition. This isn’t for everyone and if this makes you uncomfortable or it’s not your thing, this may not be the right fit.
• We are very transparent and all work is stored on shared drives. Colleagues will give input and it’s expected that you will actively adhere to this approach.

Interview Process 💌

1. Intro Call: You will meet a member of the People team for an initial discussion about your background, motivations and experience.
2. Interview: If after the intro call, we’re excited to proceed, you will be invited to a second stage interview with the Head of Product & Technology and another applicable manager.  This stage will involve a task.
3. Final Interview: Will be with the Head of Product & Technology.

🎥 We record all of our interviews, with your permission. It makes it easier as we are globally distributed.  

Vable is an equal opportunity employer. All applicants will be considered for employment regardless of race, religion, sex, sexual orientation, gender identity, national origin or disability status.