Data Analyst
- We are seeking for an Data Analyst who will become a key architect of our new data ecosystem.
- We are building a single data system from scratch:
- Various resources → BigQuery → Power BI → C-level management solutions
- We need someone who will become the architect of this system, from API to dashboard.
- You will not be a “visualizer”. You will be the foundation.
- In short: you will be the one who will make chaos manageable.
- We are looking for someone able to build the full data architecture from the ground up, transform informational chaos into structure, and turn multiple scattered sources into a unified, transparent system for the business. If you value systems thinking, ownership, and deep data work — we’d love to meet you.
Remote Full-time | Data Analyst
job description
WHAT YOU’LL DO:
- Build and maintain Boosta’s unified data layer.
- Create a central database combining Jira, BambooHR, Finance and other sources.
- Set up daily automatic data refreshes (API → DB → Power BI).
- Ensure reliability, performance, and transparency of pipelines.
- Data Quality & Data Health.
- Normalize and clean incoming data.
- Match employees, tasks, transactions across systems.
- Detect and report errors/inconsistencies (incorrect fields, broken formulas, missing values).
- BI & Dashboards.
- Build stable, simple Power BI dashboards for Operations functions.
- Prepare clear operational KPIs (TAT, workload, volume dynamics, etc.).
- Support & Evolution.
- Keep pipelines up-to-date when sources' structures change.
- Maintain documentation for tables, fields, mappings, etc.
- Expand pipeline to new departments and new data sources.
- Act as the internal point of truth for “how the data works”.
WHAT WE EXPECT FROM YOU:
- Data Engineering / Data Operations.
- Ability to extract data from APIs (Jira, BambooHR, QuickBooks, Google Sheets, etc.).
- Strong SQL skills.
- Experience building daily ETL pipelines (API → DB).
- Understanding of data schemas, table structures, indexing, and joins.
- Working with semi-structured data (JSON, API responses).
- Data Quality & Data Matching.
- Cleaning, normalizing, and standardizing data from multiple sources.
- Matching entities across systems (email, employee ID, etc.).
- Building validation checks, alerts, and monitoring.
- Detecting data inconsistencies and mapping errors.
- Visualization / BI.
- Power BI (DAX, Power Query).
- Building stable and simple management dashboards.
- Scripting & Automation (would be a plus).
- Python for API calls, data cleanup, automation, and QA checks.
- Experience with scheduled/automated jobs (cron, cloud functions).
- Working with BigQuery or similar cloud storage as a data warehouse.
- Personal qualities:
- System-oriented and Ownership mindset.
- Attention to detail and tolerance for routine work.
- Perseverance and Process discipline.
- Strong communication.
Do you want to know some details about this position?
Valeriia will help!more details
YOUR JOURNEY WITH US:
- Step 1: Pre-screen.
- Step 2: Interview.
- Step 3: Test task.
- Step 4: Final interview.
- Step 5: Reference check.
- Step 6: Job Offer!
WHAT WE OFFER:
- 28 business days of paid off.
- Flexible hours and the possibility to work remotely.
- Medical insurance and mental health care.
- Compensation for courses, trainings.
- English classes and speaking clubs.
- Internal library, educational events.
- Outstanding corporate parties, teambuildings.
WHAT WE OFFER:
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