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- Tasks: Own and optimise data pipelines to ensure reliable intelligence for millions of businesses.
- Company: Join Boam AI, a cutting-edge tech company transforming messy data into actionable insights.
- Benefits: Competitive salary, equity options, high autonomy, and impactful work from day one.
- Why this job: Make a real impact on mission-critical data systems for top-tier enterprise partners.
- Qualifications: 5+ years in data analysis, expert in SQL and Python, strong data pipeline experience.
- Other info: Fast, structured hiring process with opportunities for growth and mentorship.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Own the data pipeline that keeps Boam AI’s truth layer trusted at scale. 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 mission‑critical 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’ll lead end‑to‑end initiatives across ingestion, validation, transformation, and analysis, design durable quality systems, and build automation that keeps pace with fast‑growing demand across verticals and geographies. You’ll partner closely with ops, engineering, and data/ML, and work directly with leadership on high‑impact, ambiguous work.
What You’ll Do
- Own the end‑to‑end 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 root‑cause 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 next‑gen 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 high‑volume, messy‑data pipelines
- Strong instincts for data quality, monitoring, and operational excellence
- Comfortable leading ambiguous projects and driving cross‑team 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 no‑politics, high‑trust, low‑ego, high‑talent team
- Own mission‑critical data systems powering top‑tier enterprise partners
- Work directly with leadership on high‑impact problems that matter
- High autonomy, real impact, and clear ownership from day one
- Operate at the intersection of AI, data infrastructure, and enterprise workflows
- Top‑tier compensation with meaningful equity upside
- Help build the data systems and standards we’ll 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 Boam‑style data challenge (SQL/Python + reasoning + clear write‑up).
- Founder Conversation: Values, ownership, pace, and how you’d grow with us as we scale.
Senior Data Analyst employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Boam AI on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the practical challenge! Brush up on your SQL and Python skills, and practice solving data pipeline problems. We recommend simulating the Boam-style data challenge to get comfortable with the format.
✨Tip Number 3
Showcase your impact! When discussing your past work, focus on how your contributions improved data quality or efficiency. We want to see your results and how you can bring that same energy to Boam AI.
✨Tip Number 4
Be ready to discuss your vision! Think about how you would approach building scalable data systems and what metrics you’d define for success. This shows you’re not just a doer but a strategic thinker who aligns with our mission.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data pipelines, SQL, and Python in your application. We want to see how you've tackled messy data and built reliable systems in the past, so don’t hold back on those details!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity over fluff, so get straight to the point about your achievements and how they relate to the role. Remember, we’re looking for impact, not just pretty dashboards!
Tailor Your Application: Don’t just send a generic application! Make sure to tailor your responses to reflect our job description. Show us how your experience aligns with owning the data pipeline and driving improvements at scale. We love seeing that personal touch!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Boam AI
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data pipelines. Be ready to discuss specific projects where you architected or improved workflows. Highlight your expertise in SQL and Python, and prepare examples that showcase your ability to handle messy data.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous projects in the past. Think of instances where you led root-cause investigations or drove fixes across teams. This role is all about operational excellence, so demonstrate your instincts for maintaining data quality and consistency.
✨Emphasise Automation and Efficiency
Since this position values automation over manual processes, come equipped with examples of how you've built automated systems in previous roles. Talk about the impact these systems had on data delivery and how they helped scale operations effectively.
✨Align with Company Values
Research Boam AI's mission and values before your interview. Be prepared to discuss how your motivations align with their focus on real customer impact and high autonomy. Show enthusiasm for working in a no-politics, high-trust environment where you can make a difference from day one.
