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- Tasks: Lead the data pipeline to ensure reliable and scalable intelligence for millions of businesses.
- Company: Join Boam AI, a cutting-edge tech company transforming messy data into actionable insights.
- Benefits: Enjoy top-tier compensation, equity opportunities, and a high-autonomy work environment.
- Why this job: Make a real impact on mission-critical data systems for top-tier enterprise partners.
- Qualifications: 5+ years in data analysis, expert SQL, and strong Python skills required.
- Other info: Fast, structured hiring process with clear ownership from day one.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Boam AI builds managed data agents that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and missionâcritical decisions across the enterprise with strategic partners such as Uber Eats and Toast.
As a Senior Data Analyst, you will drive the architecture, improvement, and operation of the data pipeline that keeps Boam AI's truth layer fresh, reliable, and scalable. This is not a dashboard role. You will lead endâtoâend initiatives across ingestion, validation, transformation, and analysis, design durable quality systems, and build automation that keeps pace with fastâgrowing demand across verticals and geographies. You will partner closely with ops, engineering, and data/ML, and work directly with leadership on highâimpact, ambiguous work.
What Youâll Do
- Own the endâtoâend health of core data pipelines and outputs
- Architect scalable ingestion, validation, and transformation workflows
- Build automated quality, freshness, and consistency systems that prevent regressions
- Define quality metrics and operating standards for the truth layer
- Lead rootâcause investigations and drive fixes across teams
- Scale data delivery and outputs that power production customer workflows
- Raise the bar through documentation, reviews, and mentoring more junior analysts
- Partner with founders/ops on strategic analyses that shape product direction
- Use nextâgen AI tools to improve speed, rigor, and reliability
You Might Be a Fit If...
- 5+ years in data analysis, analytics engineering, or data pipeline roles
- Expert SQL and strong Python for analysis, automation, and processing
- Proven experience designing and operating highâvolume, messyâdata pipelines
- Strong instincts for data quality, monitoring, and operational excellence
- Comfortable leading ambiguous projects and driving crossâteam execution
- Bias for automation, leverage, and durable systems over manual heroics
- Thrive without heavy process, QA buffers, or endless safeguards
- Motivated by real customer impact, not perfect dashboards
- Excited to work where AI/data is the product, not a side project
Why Boam AI
- Join a noâpolitics, highâtrust, lowâego, highâtalent team
- Own missionâcritical data systems powering topâtier enterprise partners
- Work directly with leadership on highâimpact problems that matter
- High autonomy, real impact, and clear ownership from day one
- Operate at the intersection of AI, data infrastructure, and enterprise workflows
- Topâtier compensation with meaningful equity upside
- Help build the data systems and standards weâll scale to 100x
Our Hiring Process
- Intro Call: Quick conversation to align on role, motivation, and expectations.
- Deep Dive: Walk through past work (pipelines, investigations, systems) and how you think.
- Work Sample: A practical Boamâstyle data challenge (SQL/Python + reasoning + clear writeâup).
- Founder Conversation: Values, ownership, pace, and how youâd grow with us as we scale.
Senior Data Analyst in London employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Boam AI or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
â¨Tip Number 2
Prepare for the deep dive! Brush up on your SQL and Python skills, and be ready to showcase your past work with data pipelines. We want to see how you think and solve problems, so practice articulating your thought process.
â¨Tip Number 3
Donât underestimate the power of a good work sample. Get familiar with the types of challenges Boam AI might throw your way. Show us your analytical chops and how you tackle messy data head-on!
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and being part of something impactful.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application đŤĄ
Show Your Data Passion: When you're writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled messy data pipelines and the impact your work has had. We love seeing candidates who are genuinely excited about transforming data into actionable insights.
Be Clear and Concise: We appreciate clarity in applications. Make sure to get straight to the point and avoid jargon overload. Highlight your key achievements and skills relevant to the Senior Data Analyst role without fluff. Remember, we want to see your expertise, not a novel!
Tailor Your Application: Donât just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Analyst position. Mention your experience with SQL and Python, and how youâve built scalable systems that align with our mission at Boam AI.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures it gets the attention it deserves. Plus, it shows us youâre serious about joining our team at Boam AI!
How to prepare for a job interview at Boam AI
â¨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data pipelines. Be ready to discuss specific challenges you faced, how you architected solutions, and the impact of your work. This will show your expertise and give you confidence during technical discussions.
â¨Master SQL and Python
Since this role requires strong SQL and Python skills, brush up on these languages. Prepare to demonstrate your ability to write complex queries and automate processes. Practising common data manipulation tasks can help you articulate your thought process clearly during the interview.
â¨Prepare for Real-World Scenarios
Expect to tackle practical challenges that reflect Boam AI's work. Think about how you would approach building scalable ingestion workflows or ensuring data quality. Being able to walk through your reasoning and decision-making will impress the interviewers.
â¨Show Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to discuss how you've successfully collaborated in the past. Share examples of how youâve led cross-team initiatives or mentored junior analysts, highlighting your ability to drive results in a team environment.
