At a Glance
- Tasks: Lead a dynamic data team and drive impactful data initiatives for customer operations.
- Company: Join Dojo, a game-changing payments infrastructure company with a focus on innovation.
- Benefits: Competitive salary, professional growth opportunities, and a vibrant office culture.
- Other info: Office-first culture with a commitment to diversity, equity, and inclusion.
- Why this job: Make a real impact by bridging complex workflows with actionable data in a fast-paced environment.
- Qualifications: Proven leadership in technical teams, expert SQL skills, and experience with Agile methodologies.
The predicted salary is between 56700 - 69300 £ per year.
Our payments infrastructure, purpose-built for in-person commerce, is game changing. The Role As the Senior Data Team Lead for Customer Operations, you are the strategic lead and technical architect for the data engine that keeps Dojo moving. This is a manager role designed for a "player/manager" who thrives on building high-performance teams while remaining deeply technical. You will lead a team of three Bristol-based data specialists, overseeing the data ecosystem for our core operational pillars: Customer Service, Performance Management (F&P, Training, Quality), Loyalty, Change, Collections, Logistics and Supply Chain. The Bristol office is our hub for all customer contact for 150k+ businesses across Europe, supporting Dojo as a scaling business currently in 4 markets and expanding into new countries. Your mission is to bridge the gap between complex operational workflows and actionable data assets.
What You Will Do
- Team Leadership & Delivery
- Manage and Mentor: Lead a team of three, focusing on day-to-day wellness, professional growth, and career development.
- Agile Orchestration: Act as the lead for two-week sprints, gathering requirements from stakeholders and translating them into prioritised tasks.
- Represent Customer Ops within the wider "Embedded Data Manager" forum to align on global data strategy and best practices.
- Strategic Partnering
- Stakeholder Management: Act as a trusted advisor to senior leads in Logistics, Billing, and Service. Shape and support operational KPIs, ensuring call centres and supply chain partners have accurate, real-time reporting.
- Technical Contribution (The "Player" element)
- Hands-on Modelling: Lead by example by contributing to our dbt projects and BigQuery environment. Oversee critical data initiatives such as system migrations (CRM/Billing) and the adoption of best-in-class observability tools.
What You Will Bring
- Leadership Experience: Proven ability to manage technical teams, ideally in a fast-paced or agile environment.
- Analytics Engineering Core: Expert-level SQL and significant experience with dbt for building version-controlled data models.
- Operational Expertise: Deep understanding of transactional, billing, or logistical datasets.
- Communication Mastery: The ability to explain complex data logic to non-technical stakeholders and influence senior leadership.
- Experience balancing immediate "high-impact" business needs with long-term technical health and debt management.
- Experience with Salesforce data integration.
- Experience working with Agile methodologies using tools such as Jira.
- Experience with Python.
- Background in Fivetran or Airbyte for data ingestion.
That's why we have an office-first culture. This means working from the office 4+ days per week. Our social hubs make it easy.
Diversity, equity, and inclusion at Dojo
From local bakeries to well-known eateries, Dojo payments serve over 150,000 places across the UK. And something that's fundamental to creating relevant, innovative products at Dojo is to build teams to reflect the diversity of the businesses we serve. Our drive to improve diversity, equity, and inclusion is closely linked to helping employees thrive and innovating for better customer experiences. To make sure you're the best you can be throughout the recruitment process, let us know if you need any extra adjustments to help you thrive.
Data Lead for Performance & Data Management (Contract) in Bristol employer: PaymentSense
At Dojo, we pride ourselves on being an exceptional employer that values our people as our greatest asset. With an office-first culture that encourages collaboration and innovation, our employees enjoy a dynamic work environment designed for both focus and creativity. We offer robust growth opportunities, a commitment to diversity and inclusion, and the chance to be part of a game-changing team in the payments industry, all while working in vibrant office spaces across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead for Performance & Data Management (Contract) in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PaymentSense!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Lead for Performance & Data Management (Contract) at PaymentSense.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PaymentSense.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead for Performance & Data Management (Contract) at PaymentSense, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Lead for Performance & Data Management (Contract) in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PaymentSense, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PaymentSense. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PaymentSense
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PaymentSense!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.