Senior Data Quality Management Analyst – BA
⚲ Kraków
21 000 - 25 200 PLN (B2B)
Wymagania
- Google cloud platform
- BigQuery
- Cloud
- Storage
- Cloud platform
- Analytical skills
- Python (nice to have)
Opis stanowiska
O projekcie:
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
You will be focusing on assessing and improving data quality in critical internal systems. The role includes deploying auto DQ rule prediction, anomaly detection, root cause analysis, and leading data remediation campaigns.
If you enjoy solving complex data problems, using GCP, Python, and GenAI tools, and presenting actionable insights to both technical and business audiences—this role is for you.
Sounds like your kind of challenge?
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – remote days available depending on the client’s arrangements - min. 2 days a week from the office in Kraków
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
- 5+ years of experience in a data-focused role (Tech BA, Data Analyst, Data Management, or related)
- Hands-on experience with Google Cloud Platform tools (BigQuery, Data Studio, Cloud Storage) or similar cloud platforms
- Strong analytical skills and proven ability to interpret large data sets
- Exceptional communication and visualization skills, capable of simplifying complex topics
- Understanding of cloud concepts and experience delivering cloud-enabled solutions
- Openness to new tools and technologies
Nice-to-Have Skills
- Familiarity with Python for ad-hoc scripting or automation tasks
- Experience in GenAI-enabled solutions for enhancing data processing or anomaly detection
- Strong problem-solving mindset with a track record of root cause analysis and remediation planning
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Collaborate with data owners, engineers, and business users to define and implement DQ standards
- Automate and develop data quality rules and checks using Google Cloud Platform (BigQuery, Data Studio, Cloud Storage)
- Investigate data anomalies and plan proactive remediation activities
- Perform ad-hoc data quality assessments, impact analysis, and anomaly detection
- Analyse and identify patterns and trends in large, complex datasets
- Communicate findings clearly to technical and non-technical stakeholders
- Drive multiple projects: facilitate team discussions, track progress, and deliver results
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
You will be focusing on assessing and improving data quality in critical internal systems. The role includes deploying auto DQ rule prediction, anomaly detection, root cause analysis, and leading data remediation campaigns.
If you enjoy solving complex data problems, using GCP, Python, and GenAI tools, and presenting actionable insights to both technical and business audiences—this role is for you.
Sounds like your kind of challenge?
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – remote days available depending on the client’s arrangements - min. 2 days a week from the office in Kraków
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
- 5+ years of experience in a data-focused role (Tech BA, Data Analyst, Data Management, or related)
- Hands-on experience with Google Cloud Platform tools (BigQuery, Data Studio, Cloud Storage) or similar cloud platforms
- Strong analytical skills and proven ability to interpret large data sets
- Exceptional communication and visualization skills, capable of simplifying complex topics
- Understanding of cloud concepts and experience delivering cloud-enabled solutions
- Openness to new tools and technologies
Nice-to-Have Skills
- Familiarity with Python for ad-hoc scripting or automation tasks
- Experience in GenAI-enabled solutions for enhancing data processing or anomaly detection
- Strong problem-solving mindset with a track record of root cause analysis and remediation planning
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Collaborate with data owners, engineers, and business users to define and implement DQ standards
- Automate and develop data quality rules and checks using Google Cloud Platform (BigQuery, Data Studio, Cloud Storage)
- Investigate data anomalies and plan proactive remediation activities
- Perform ad-hoc data quality assessments, impact analysis, and anomaly detection
- Analyse and identify patterns and trends in large, complex datasets
- Communicate findings clearly to technical and non-technical stakeholders
- Drive multiple projects: facilitate team discussions, track progress, and deliver results
🔍 Dekoder Ogłoszenia
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leading data remediation campaigns
Może oznaczać zarówno strategiczne kierowanie procesem naprawy danych, jak i codzienne, żmudne zadania związane z poprawianiem błędów.
🔴
presenting actionable insights to both technical and business audiences
Może wymagać tłumaczenia skomplikowanych danych na język zrozumiały dla nietechnicznych odbiorców, co bywa czasochłonne i wymaga specyficznych umiejętności.
🔴
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Chociaż daje wybór, często sugeruje preferencję pracodawcy dla modelu B2B ze względu na niższe koszty.
🔴
Hybrid work setup – remote days available depending on the client’s arrangements
Elastyczność pracy zdalnej jest silnie uzależniona od wymagań klienta, co może oznaczać mniej dni zdalnych niż oczekiwano.
🟡
work alongside experienced professionals eager to share knowledge
Może oznaczać, że zespół jest doświadczony, ale także że będziesz musiał poświęcić czas na mentoring lub pomoc mniej doświadczonym kolegom.