Senior Data Analyst

We are looking for a data‑driven professional who enjoys turning complex operational data into clear, actionable insights for the business. This role sits at the intersection of data, technology, and operations, supporting stakeholders by transforming raw data into meaningful reports, dashboards, and visual insights that drive decision‑making.

You will take ownership of the end‑to‑end analytics process- from understanding business questions, sourcing and shaping data, through to delivering insights that are easy to interpret and act upon.

This is a great opportunity for someone who is hands‑on, curious, and confident working with business stakeholders in a fast‑changing environment.

• Permanent/ Full- time position (UoP)
• Location: Lodz
• Work model preferred: hybrid (remote option can be considered- only for candidates based- or open to relocate- to Poland)
• Global/ multicultural environment (established industry leader)
• Salary: Flexible (dependent on seniority and depth of relevant experience; detailed discussion required to establish a suitable range)
• VISA sponsorship- will be provided for candidates already based in Poland or EU (considering relocation to Poland)

Must‑Have Skills & Experience

• Strong experience with Python, SQL, and Power BI (or similar BI/visualisation tools)
• Min. 3-6 years of solid, hands‑on experience using Python and SQL for data analysis
• Proven ability to build reports, dashboards, and visual data products for business users
• Experience working with structured datasets and transforming raw data into insights

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• Ability to explain data findings clearly to non‑technical stakeholders
• Business fluent English

Main Responsibilities

• Partner with business teams to understand requirements, ask the right questions, and translate needs into data solutions
• Extract, clean, analyse, and interpret data from multiple sources
• Create and maintain Power BI dashboards, reports, and visual analytics that support operational and strategic decisions
• Identify trends, patterns, issues, and opportunities in data, and present findings in a clear and practical way
• Take accountability for the full data lifecycle - from data sourcing and quality through to delivery and improvement
• Continuously improve data models, reports, and processes
• Support data‑driven decision making by enabling easy access to insights and self‑service reporting

Nice to Have (Bonus, Not Essential)

• Exposure to manufacturing, industrial, or operational environments
• Understanding of how data is generated and consumed in production or automation systems
• Experience with maintenance, asset, or operational data
• Familiarity with concepts such as CMMS, MES, SCADA, or industrial data platforms
• Experience working with KPI frameworks, operational reporting, or master data

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• Background in engineering, data science, or similar analytical disciplines

Who will fit our team and culture?

• A self- starter- someone who actively looks for answers, experiments, and learns before escalating questions
• Strong sense of ownership and accountability for deliverables
• Comfortable working in a changing, evolving environment
• Curious, proactive, and solutions‑oriented
• Confident working with both data and people
• Able to challenge, suggest improvements, and help shape better tools and processes

Communication & Collaboration

• Strong communication skills with the ability to bridge the gap between data and the business
• Comfortable presenting insights, explaining assumptions, and telling a clear story with data
• Collaborative approach, working closely with both technical and non‑technical stakeholders

For more information, please send me your CV (in English only) to [email protected] and I will call you back to provide more details.