At a Glance
- Tasks: Analyse customer data to drive insights and enhance user experience.
- Company: Join Dayshape, an award-winning tech scale-up transforming resource management.
- Benefits: Competitive salary, generous holiday, professional development budget, and flexible working.
- Why this job: Make a real impact by improving customer success through data-driven insights.
- Qualifications: Experience in data analytics, SQL, and visualisation tools required.
- Other info: Collaborative team culture with opportunities for personal growth and fun team events.
The predicted salary is between 32000 - 43000 £ per year.
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 firms globally, our AI-powered resource management platform is helping organisations to achieve extraordinary results.
Our platform stands apart as the only solution that combines advanced 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 and teams—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 important driving 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 on creating, 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.
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 with occasional travel to the office (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 every day (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 9am Monday 9th February.
*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.*
Customer Data Analyst - Professional Services (UK) employer: Dayshape
Contact Detail:
Dayshape Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Analyst - Professional Services (UK)
✨Tip Number 1
Network like a pro! Reach out to current employees at Dayshape on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your interview. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by diving deep into Dayshape’s products and services. Understand how our AI-powered platform works and think about how your skills can contribute to enhancing customer success. Show us you’re genuinely interested!
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex data insights in a simple way. Use examples from your past experiences to demonstrate how you’ve turned data into actionable strategies that benefited your previous employers.
✨Tip Number 4
Don’t forget to ask questions during your interview! Show us you’re curious about our culture, team dynamics, and how we measure success. This not only helps you gauge if we’re the right fit for you but also shows your enthusiasm for the role.
We think you need these skills to ace Customer Data Analyst - Professional Services (UK)
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data analytics and visualisation tools like SQL, Power BI, or Tableau. We want to see how you've used these skills in real-world scenarios, especially in professional services.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your background aligns with our mission at Dayshape. Mention specific experiences that demonstrate your understanding of customer behaviours and needs.
Be Clear and Concise: When writing your cover letter or any application materials, keep it clear and to the point. We appreciate straightforward communication, so make sure you present your ideas in a way that's easy to digest.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Dayshape
✨Know Your Data Tools
Make sure you’re well-versed in SQL and data visualisation tools like Power BI or Tableau. Brush up on how these tools can help you present complex data clearly, as this will be crucial for the role.
✨Understand Customer Needs
Familiarise yourself with the professional services sector and the specific challenges firms face. This knowledge will help you demonstrate how your insights can drive customer success and enhance their experience.
✨Prepare for Collaboration
Since the role involves working closely with various teams, think of examples where you've successfully collaborated in the past. Be ready to discuss how you can bridge gaps between data analysis and customer-facing teams.
✨Show Your Curiosity
Express your passion for learning new skills and technologies. Prepare to discuss any recent projects or tools you've explored that relate to data analytics, as this shows your proactive approach to problem-solving.