At a Glance
- Tasks: Transform data into actionable insights and build client-facing dashboards.
- Company: Join a fast-growing B2B data analytics startup with a high-impact team.
- Benefits: Competitive salary, equity, and clear career progression.
- Other info: Dynamic role with variety and ownership from day one.
- Why this job: Work directly with global brands and make a real impact in marketing analytics.
- Qualifications: 2-3 years in analytics, strong SQL skills, and experience with BI tools.
The predicted salary is between 40000 - 50000 £ per year.
Location: London (Hybrid)
Employment type: Full time
Seniority: Mid level
About Day1Data
Day1Data is a fast-growing B2B data analytics startup helping marketing teams measure incrementality and make smarter decisions. From marketing mix modelling to forecasting and data infrastructure, we help leading global brands understand what truly drives growth. This is an exciting time to join as we're a small, high-impact team working with clients like PerfectTed, Healf, Heights, Zepz & WorldRemit.
The Role
We're looking for a Data Analyst to sit at the heart of our client delivery work. You'll be the person who turns data into clear, actionable answers, building dashboards, owning reporting pipelines and working directly with clients to help them understand their performance. This is a client-facing role at a marketing analytics agency, which means variety is guaranteed. One week you might be diagnosing a broken attribution pipeline; the next you're presenting channel performance findings to a brand's senior marketing team. You'll work closely with our analytics engineers and data scientists, acting as the bridge between the data layer and the marketing teams who depend on it.
What You'll Do
- Marketing Analytics & Insight
- Analyse marketing performance data across channels including paid search, paid social, display, email and organic.
- Translate complex data into clear, concise insights and recommendations for client marketing teams.
- Support incrementality testing, attribution analysis and campaign measurement projects.
- Help clients understand what's driving growth and what isn't.
- Dashboarding & Reporting
- Build and maintain client-facing dashboards in ThoughtSpot, Looker Studio, Tableau or similar BI tools.
- Define and document consistent metrics and KPI definitions across client accounts.
- Ensure reports are accurate, timely and easy for non-technical stakeholders to act on.
- Iterate on dashboards based on client feedback and evolving business questions.
- Data Pipelines & Infrastructure
- Write and maintain SQL transformations that feed client reporting and dashboards.
- Work with dbt models and cloud data warehouses (BigQuery or Snowflake) to prepare analytics-ready datasets.
- Ingest and connect data from marketing platforms including Meta, Google Ads, TikTok and others via tools like Fivetran.
- Debug data issues end-to-end from source ingestion through to what the client sees on screen.
- Client Communication & Delivery
- Act as a day-to-day analytics contact for a portfolio of clients.
- Run regular reporting calls, presenting findings clearly and fielding data questions on the spot.
- Translate vague client briefs into well-defined analytical questions and actionable outputs.
- Manage multiple client workstreams simultaneously, prioritising effectively under pressure.
What You'll Need
- 2-3 years of experience in an analytics, data analytics or similar role.
- Strong SQL skills and the ability to write and debug complex queries independently.
- Hands‑on experience with at least one BI tool Looker, Looker Studio, Tableau or similar.
- Solid understanding of digital marketing channels and how performance is measured across them.
- Experience working with cloud data warehouses such as BigQuery or Snowflake.
- Comfortable presenting findings and fielding questions from senior marketing stakeholders.
- Highly organised, with the ability to manage multiple clients and deadlines at once.
Nice to Have
- Experience with dbt or similar transformation tooling.
- Familiarity with marketing data ingestion tools such as Fivetran or Airbyte.
- Exposure to marketing mix modelling, incrementality testing or media planning.
- Working knowledge of Python for automation or analytics.
Who You Are
- You're as comfortable talking to clients as you are writing SQL.
- You take ownership of your work and follow things through without being chased.
- You ask good questions of the data, and of the brief.
- You can simplify complexity without losing accuracy.
- You thrive in variety and don't need a fixed playbook to do great work.
What We Offer
- Competitive salary + equity
- Clear path to senior
- Real ownership from day 1
- Work directly with the founder and a tight-knit, high-calibre team
- Hands-on variety across global brand clients and SaaS product build
- Early-stage upside join at a pivotal moment in Day1Data's growth
Data Analyst employer: Day1Data
At Day1Data, we pride ourselves on being a dynamic and innovative employer that offers a unique opportunity for Data Analysts to thrive in a fast-paced, hybrid work environment in London. Our collaborative culture fosters personal and professional growth, with direct access to leadership and a clear path to senior roles, while working on impactful projects for renowned global brands. Join us to enjoy competitive compensation, equity options, and the chance to make a real difference from day one in a supportive and high-calibre team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can showcase your SQL skills and experience with BI tools. We want to see you shine, so be ready to discuss your past projects and how they relate to the role!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates. Plus, it shows you're proactive and really keen on the role.
✨Tip Number 4
Use our website to apply directly! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage with us through our platform.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your SQL skills, experience with BI tools, and any relevant marketing analytics projects. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about joining Day1Data and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Analytical Skills:In your application, include examples of how you've turned complex data into actionable insights. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
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 being part of our team!
How to prepare for a job interview at Day1Data
✨Know Your Data Tools
Make sure you're familiar with SQL and the BI tools mentioned in the job description, like Looker or Tableau. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Understand Marketing Analytics
Since this role is all about turning data into actionable insights for marketing teams, take some time to understand key marketing metrics and how they relate to performance. Be prepared to discuss how you would approach analysing different marketing channels.
✨Prepare for Client Scenarios
Think about potential client scenarios you might face in this role. Practice explaining complex data findings in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Showcase Your Organisational Skills
With multiple clients and deadlines to manage, it's crucial to demonstrate your organisational abilities. Prepare examples of how you've successfully juggled multiple projects in the past and how you prioritise tasks under pressure.
