Data Analyst

Boam AI; Berlin; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading data intelligence firm in Berlin is looking for a Data Analyst to improve and operate data pipelines. The role emphasizes ownership of quality and automation, requiring strong SQL skills and a casual familiarity with Python. This position offers the chance to make a tangible impact on customer outcomes quickly, while working within a high-trust, low-ego team environment. Ideal applicants thrive in dynamic situations without excessive processes and are motivated to solve real-world data challenges.

Leistungen

Top-tier compensation

Meaningful equity upside

High ownership and direct feedback

Qualifikationen

• 1–3+ years in data analysis, analytics engineering, or similar roles.
• Strong SQL skills with messy real-world datasets.
• Knowledge of Python for analysis and automation.

Aufgaben

• Own pipeline quality and freshness across core datasets.
• Scale ingestion and validation across new geographies and verticals.
• Build automation that replaces manual checks and rework.
• Monitor pipeline health and drive fast root-cause fixes.
• Build SQL outputs that power production customer workflows.

Kenntnisse

Data analysis

SQL

Python

Automation

Systematic debugging

Handling messy datasets

Jobbeschreibung

Turn chaos into trusted data at high volume and high speed

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 Data Analyst, you will help build, improve, and operate the data pipeline that keeps Boam’s truth layer fresh at scale. This is not a dashboard role. You’ll tackle messy inputs across verticals and geographies, automate quality and throughput, and keep pace with fast‑growing customer demand. You’ll work across ingestion, validation, transformation, and analysis, partnering closely with ops, engineering, and data/ML. This is a role for someone who wants real ownership early, loves precision, and learns fast in an environment with minimal safety nets.

What You’ll Do

• Own pipeline quality and freshness across core datasets
• Scale ingestion and validation across new geos and verticals
• Build automation that replaces manual checks and rework
• Monitor pipeline health and drive fast root‑cause fixes
• Build SQL outputs that power production customer workflows
• Produce clear analysis that drives product and customer decisions
• Support ingestion and transforms with pragmatic Python tooling
• Turn investigations into shipped improvements customers feel
• Use next‑gen AI tools to improve speed, rigor, and reliability

You Might Be a Fit If…

• 1–3+ years in data analysis, analytics engineering, or similar roles
• Strong SQL and comfort working with messy, real‑world datasets
• Working knowledge of Python for analysis and automation
• Own problems end‑to‑end and close loops without hand‑holding
• Debug systematically and write crisp, structured investigations
• Prefer automation over manual work and scale what you build
• 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
• Work on a differentiated data moat powering top‑tier enterprise partners
• High ownership, direct feedback, and steep learning curve from day one
• Real impact: your work shows up in customer workflows quickly
• Top‑tier compensation with meaningful equity upside
• Help build the data systems and standards we’ll scale to 100×

Our Hiring Process

Our process is fast, structured, and transparent — built to respect your time and surface real mutual fit.

• Intro Call: Quick conversation to align on role, motivation, and expectations
• Deep Dive: Walk through past work (projects, analyses, datasets) and how you think
• Work Sample: A practical Boam‑style data task (SQL/Python + reasoning + clear write‑up)
• Founder Conversation: Values, ownership, pace, and how you’d grow with us as we scale