Snowflake Analyst: Data Requirements & Solutions

emagine Polska; Warszawa; Hybrid; PLN 164,000 - 222,000; Full time

Job summary

emagine Polska is seeking a Snowflake Analyst to bridge business needs with IT solutions. Your focus will be detailing IT solution requirements to ensure delivery and customer value, with a hybrid work model (3 days in office in Warsaw/Gdansk/Gdynia/Lodz).

You will collaborate with architects and business counterparts, document functional and non-functional requirements, and help design data mappings and solutions across data sources.

Qualifications

• Experience in requirements management and data analysis.
• Ability to document functional and non-functional requirements.
• Experience with Snowflake.
• Skill in data extraction, analysis, and visualization.
• Team participation and stakeholder management.

Responsibilities

• Detail IT solution requirements.
• Collaborate with architects and business counterparts to develop solutions.
• Build understanding of the business domain and supporting data.
• Elicit, validate, and document functional and non-functional requirements.
• Ensure alignment of requirements between business and IT.
• Analyze, visualize, and interpret data for requirements analysis and solution design.
• Create data mappings and perform gap analysis.
• Analyze and contribute to IT solution design documentation.
• Participate in team ceremonies and daily stand-ups.
• Manage stakeholders to secure alignment across the organization.
• Share achievements and challenges and seek team support for improvements.

Skills

Data analysis

Requirements management

Documentation

Stakeholder management

Team collaboration

Continuous learning

Tools

Snowflake

Job description

emagine Polska is seeking a Snowflake Analyst to bridge business needs with IT solutions. Your focus will be detailing IT solution requirements to ensure delivery and customer value, with a hybrid work model (3 days in office in Warsaw/Gdansk/Gdynia/Lodz).

You will collaborate with architects and business counterparts, document functional and non-functional requirements, and help design data mappings and solutions across data sources.