At a Glance
- Tasks: Lead a dynamic data team and drive impactful projects in a fast-paced environment.
- Company: Join Dojo, the UK's largest and most loved payments acquirer, revolutionising commerce.
- Benefits: Enjoy competitive salary, career growth, and a supportive work culture.
- Other info: Be part of an innovative company expanding across Europe with exciting growth opportunities.
- Why this job: Make a real difference by bridging operational workflows with actionable data insights.
- Qualifications: Proven leadership in technical teams and expertise in SQL and analytics engineering.
The predicted salary is between 70000 - 90000 £ per year.
We’re reinventing payments. In less than four years, Dojo disrupted the market to become the largest and most loved acquirer in the UK. Our payments infrastructure, purpose-built for in-person commerce, is game changing. Now, over 150,000 customers across four countries choose to transact billions with us every year. But we’re just getting started. Our people are the driving force behind our success. They are our greatest investment and our ultimate competitive advantage. We hire exceptional people and give them the autonomy, trust, and ownership to thrive. The results take care of themselves.
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. You won't just manage; you will partner with senior stakeholders to challenge assumptions, refine requirements, and ensure every sprint delivers value that aligns with both Customer Ops priorities and company-wide goals.
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.
- Unblock & Align: Work closely with team members to resolve technical hurdles and ensure output remains consistent with our architectural standards.
- Collaborative Forum: 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.
- Create Actionable Insights: Interrogate requests to find the "true" business question, contributing to the design of solutions that drive operational efficiency.
- KPI Stewardship: 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.
- System Evolution: 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.
- Strategic Vision: Experience balancing immediate "high-impact" business needs with long-term technical health and debt management.
Nice to Have
- Tech Stack Proficiency: Familiarity with BigQuery, Looker (LookML), and GitHub.
- Experience with Salesforce data integration.
- Experience working with Agile methodologies using tools such as Jira.
- Familiarity with orchestration and observability tools like Airflow or Monte Carlo.
- Experience with Python.
- Background in Fivetran or Airbyte for data ingestion.
Senior Data Team Lead in Bristol employer: Dojo
Dojo is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that prioritises collaboration and innovation. Employees benefit from a supportive environment that encourages professional growth and development, with ample opportunities to enhance their skills in data analytics and business intelligence. By working closely with a talented team, you will play a pivotal role in shaping the future of data-driven decision-making at Dojo, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Team Lead 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 Dojo!
✨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 Senior Data Team Lead at Dojo.
✨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 Dojo.
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We think you need these skills to ace Senior Data Team Lead 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 Dojo, 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 Dojo. 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 Dojo
✨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 Dojo!
✨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.
