Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Customer Data Analyst

Dayshape
Edinburgh
2 days ago
Create job alert
About us

We’re Dayshape—an award-winning software scale-up with big ambitions and the momentum to match. Trusted by Big Four and many other top professional services firmsglobally, our AI-powered resource management platform is helping organisations to achieve extraordinary results.


Our platform stands apart as the only solution that combinesadvanced AI, real-time project financials, and firm-wide insights to elevate resource management to a strategic function. By driving profitable growth,powering confident decisions,and ensuring satisfied clients andteams—we're helping our customers build strong organisations and careers for the long term.


Why our customers love Dayshape:



  • We help professional firms optimise margins and increase revenue, unlocking access to more profitable work.


  • We provide complete operational visibility today and the tools to confidently predict tomorrow.


  • We empower firms to become the places where top talent wants to work - and the best clients want to work with.

Recognised as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years and more recently as the Enterprise Digital Tech Business of the Year at the 2024 ScotlandIS awards, we’ve consistently proven our ability to innovate and deliver real impact—and we’re always looking for like-minded people to join us.


At Dayshape, our purpose is to improve people's working lives, and our culture is an importantdriving force in helping us to do just that. We're a friendly, inclusive, and ambitious team—driven by our values and a shared commitment to success. If you’re ready to join a fast-growing, high-impact company that’s reimagining resource management, then let’s talk.


About the role

Dayshape is a single product company, and the Product department interfaces with almost every other Dayshape team including Engineering, Sales, Marketing, Customer Success, Professional Services and Support. As a Customer Data Analyst you will work closely with these departments to help deliver the data and insights that Dayshape and our customers need to be successful.


This role will focus on understanding our customers behaviours, needs and outcomes, helping us to strengthen adoption, retention and value delivery. You will work closely with our existing Product Data Analyst, who focuses on product usage and feature performance. Together you will form a complementary partnership and will work as a team to support each other.


You will be deep diving into Dayshape’s customers use of the Dayshape application and uncovering insights regarding their business performance to drive customer success and growth strategies. Sharing those insights via intuitive dashboards and reports will be a core part of your responsibilities.


What you’ll do

  • Work alongside our Product Data Analyst and in partnership with our engineering colleagues to extend our Dayshape analytics solution


  • Work with Product and Engineering team members to develop the mechanisms to obtain customer analytics.


  • Partner with Dayshape customer facing teams, in particular Customer Success, and take the lead oncreating, developing and maintaining customer-facing reports, dashboards and insights identifying trends, risks and opportunities that inform proactive engagement and intervention strategies and that enhance customer adoption, satisfaction and renewals.


  • Connect with stakeholders and customers and deliver presentations on the narrative of the data


  • Help identify opportunities to improve the customer experience, streamline service delivery and optimise outcomes through data-led recommendations.


  • Collaborate with internal teams to turn data insights into product and business improvements through helping to identify opportunities to improve product performance and customer experience.


  • Support Marketing and Sales departments with relevant data which can translate into marketable messaging, differentiators and unique value propositions.


  • Assist in the development of KPIs across the breadth, depth, usability, frequency and sentiment measurements of Dayshape to help drive underlying performance analysis.

About you

  • You have a proven track record in data analytics, analysis and visualisation


  • You have strong SQL and data visualisation skills and are comfortable using tools such as Excel, Power BI, MS Fabric, Tableau, SAP BI, Azure data explorer, and Azure Data Lake Store.


  • You have experience working in or with professional services firms, bringing valuable context on how our customers operate, where they gain value and what challenges they face.


  • Comfortable with uncertainty and enjoy working within an ambiguous environment where we don’t always have established ways of working, but you are willing to get stuck in to define these processes for the future


  • Excellent communication skills, with the ability to present complex data in a clear and concise manner


  • Comfortable discussing technical concepts, with an appreciation of engineering fundamentals


  • Have a strong ability to operate both independently and in a collaborative team environment


  • You have a natural curiosity and are passionate about learning new skills and technologies


  • You have strong collaboration skills and can work closely with other data analysts, and other stakeholders including product managers, engineers, and customer success representatives, to gather requirements and ensure the successful implementation of data-driven solutions.


  • You have a keen attention to detail, allowing you to spot patterns, trends, and anomalies within datasets, ensuring the accuracy and reliability of the analysis performed


  • You are a proactive problem-solver and can identify challenges, propose solutions, and take the initiative to improve data analysis processes and reporting methods


  • Passionate about delving into the detail

Bonus points if you have

  • Experience working with complex enterprise software applications


  • Knowledge of Microsoft Azure, SQL, Kusto, Python

What you’ll get

  • Salary between £32,000-43,000, depending on experience


  • At least £1,000 per year to spend on professional and personal development


  • 33 days' holiday per year (including bank holidays), increasing by 1 day each year to a maximum of 40 days


  • Paid four-week sabbatical in your fifth anniversary year on top of your holiday entitlement


  • Enhanced family leave policies


  • Private healthcare and rewards through Vitality


  • Income protection and death in service cover


  • Matched 5% auto-enrolment workplace pension scheme


  • Access to wellbeing offerings, such as our Employee Assistance Programme and a dedicated counselling service


  • Innovation Week twice a year - a chance to experiment and work off-project


  • Volunteering time – up to 20 hours a year to participate in volunteer work


  • Regular All Hands meeting for inspiration and over-communication


  • Time out of the working week for team socials each month, with a mix of in-person and virtual options: past events include hiking, family BBQs, board games and at-home cocktail classes!


  • Genuinely nice, smart people to work with, who are excited about growing our company

Working Details

This is a full-time role (37.5 hours per week). We typically work from 09:00 - 17:30 from Monday to Friday, though we can be flexible around this, just let us know.We have a strong preference for someone in/around Edinburgh, though we’re open to the possibility of this being a remote role (as long as you're in the UK). We're making the most of hybrid working, so you won't need to come into the office everyday (unless you want to!). We don't mandate required office time, but we find that most of the team enjoy working from home 2-3 days a week, and come into our office to connect with each other, make use of space, and for meetings.


Join the team!

Equality of opportunity is more than just a responsibility: we believe it’s a huge advantage to welcome a variety of experiences and perspectives into the team. Diversity is a great asset and, as such, we strongly encourage applications from any background.


This is your opportunity to really influence how we get things done, and how critical data insights can improve the Dayshape product, enhance customer experience and support key Dayshape business decisions. We're doing well, but there's lots more to do in order to maintain the high bar and pace that we've set.Everyone here is growing personally as the company grows, so if that sounds like something you’d like to be part of, we’d love to see your application.


The deadline for applications is Friday 19th September at 12pm. Initial screening calls will be conducted around this date and interviews will follow in the couple of weeks after.


*Please note the successful candidate for this role will be subject to background checks due to working directly with customer data and will have an opportunity to declare anything to us beforehand*


#J-18808-Ljbffr

Related Jobs

View all jobs

Customer Data Analyst

Fraud Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.