Senior Data Analyst

Verita HR Kraków 2026-10-08

    The role is part of a larger Strategic Data Platform programme focused on assessing and improving the data quality of key internal systems. The Data Quality (DQ) team aims to be the most innovative in the organisation. The work covers automated DQ rule prediction and implementation, anomaly detection, root cause investigation of data issues, and remediation campaigns. The team works on Google Cloud Platform, using BigQuery, GenAI, Data Studio, and Python. We are looking for a skilled Senior Business Analyst who can understand a given problem, use the available tools to analyse the data and clearly communicate and visualise proposed solutions.

    About you:

    • Minimum 5 years of experience in a data-related role (e.g. Tech Business Analyst, Data Management / Modelling, Data Analyst)
    • Experience with Google Cloud Platform products (BigQuery, Looker Studio, Cloud Storage)
    • Understanding of cloud concepts and experience delivering cloud-based solutions
    • Proven ability to interpret large data sets and explain complex issues concisely and in simple language
    • Advanced listening, interpersonal, written, and verbal communication skills
    • Openness to new tools and technologies
    • Python is a plus (used in ad-hoc projects)

    📍 Client & contract: lead international bank | B2B
    🗣️ Recruitment:
    phone screen with our recruiter + technical test + one on-line meeting with the hiring managers
    🗺️ Hybrid work:
    2 days per week from the office in Cracow


    The offer:



    • Prestigious position at one of the world's largest banks

    • Stable, long-term projects

    • Competitive salary with a B2B contract

    • Hybrid work (2 days per week from the office in Cracow) and flexible working hours

    • Private healthcare and multisport card

    • Personal growth and development opportunities with the possibility to rotate between projects

    • Referral program and company events

    • Convenient parking

    ,[ Collaborating with data owners, data engineers, and business users to define data quality requirements and standards , Developing and automating data quality rules and checks using Google Cloud Platform tools , Investigating data quality findings and planning remediation activities , Performing ad-hoc data quality analysis and impact assessments, including analysing and interpreting trends and identifying patterns in complex data sets , Proactively identifying and solving problems , Driving assigned projects, including facilitating discussions and monitoring progress , Communicating data quality findings and recommendations to technical and non-technical stakeholders] Requirements: Business analysis, Data analysis, Data quality, BigQuery, Looker Studio, Cloud Concepts, Python Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Bike parking, Shower, Free parking, Canteen, Playroom, No dress code, Free beverages, Modern office.