Data Product Analyst - Bridge Biz & Tech in Agile Teams

Solid; Warszawa; Hybrid; PLN 120,000 - 160,000; Full time

Job summary

Solid is seeking a data solutions professional to bridge business needs and developers, delivering high-quality IT solutions within an agile, cross-functional delivery team. You will work on data products and collaborate with stakeholders to define features and outcomes.

You will analyze data, ensure data quality, and contribute to Hive/Spark-based pipelines. Fluent English and strong analytical thinking are essential, with experience handling complex requirements.

Qualifications

• Knowledge of SQL
• Experience working with complex requirements
• Experience in data analysis, data hygiene, and data quality
• Familiarity with Hive
• Good communication skills
• Fluent English
• Basic understanding of machine learning, CI/CD pipelines, and big data concepts
• Ownership and independence in handling tasks, features, and user stories
• Strong analytical thinking and problem-solving skills
• Experience with Spark

Responsibilities

• Act as a bridge between business needs and developers to ensure the delivery of high quality IT solutions
• Being part of building common capabilities for Data Products within GDM
• Working with data products Helping to design advanced solutions around data and analytics Working closely together with stakeholders across company to understand the expected outcome and elicit business features
• Managing delivery dependencies towards other teams and organization units across Company
• Working in an Agile environment as an integral part of the cross-functional agile delivery team

Skills

SQL

Complex requirements

Data analysis

Data hygiene

Data quality

Communication skills

Fluent English

Machine learning basics

Ownership & independence

Analytical thinking

Spark

Tools

Hive

Spark

Python

Job description

Solid is seeking a data solutions professional to bridge business needs and developers, delivering high-quality IT solutions within an agile, cross-functional delivery team. You will work on data products and collaborate with stakeholders to define features and outcomes.

You will analyze data, ensure data quality, and contribute to Hive/Spark-based pipelines. Fluent English and strong analytical thinking are essential, with experience handling complex requirements.