Data Analyst
Link Group
This is a senior data modeling and data management role for enterprise-scale financial data. You will design and optimize data models, ensure data quality, and automate data processes using Python/Spark/SQL. Despite the title 'Data Analyst', the role is heavily focused on data architecture, warehousing, and governance, not typical analysis or reporting.
Brakuje: not specified if the role is for a specific client project or internal product, no information about team size or reporting structure.
The role is a senior data modeler/data management specialist focused on enterprise-scale data projects, not a typical Data Analyst. It involves significant data modeling, warehousing, and automation, with little to no dashboarding or ad-hoc analysis.
This is a senior data modeling and data management role for enterprise-scale financial data. You will design and optimize data models, ensure data quality, and automate data processes using Python/Spark/SQL. Despite the title 'Data Analyst', the role is heavily focused on data architecture, warehousing, and governance, not typical analysis or reporting.
- ✓Fully remote, B2B contract with transparent salary range
- ✓Enterprise-scale project with real data challenges
- ✓Opportunity to mentor and influence data standards
- !Title is misleading: listed as Data Analyst but role is Data Modeler/Data Management Specialist
- !No details about team size or specific project context
- !Vague about the financial data domain and how data is used
- •Designing and optimizing enterprise-scale data models (conceptual, logical, physical) for financial data
- •Standardizing and analyzing financial data to ensure consistency and quality
- •Collaborating with data engineers, analysts, and product teams to build scalable data solutions
- •Automating data processes and transformations using Python, Spark, and SQL
- •Supporting data governance and data modeling best practices
- •Mentoring junior team members on data management and modeling techniques
- •Contributing to continuous improvement of data processes and standards
Oferta dla doświadczonych specjalistów (Senior).
A data management professional with 5+ years of experience, solid understanding of data modeling and warehousing, hands-on with SQL, Python, Spark, and Snowflake, and familiarity with Azure data services.
Not for junior data analysts or those without strong data modeling experience. This role requires deep expertise in data architecture and management, not entry-level analysis.
- ?What is the specific financial data domain and what kind of data sources are involved?
- ?How large is the current data team and who will I work with closely?
- ?What are the main challenges in the current data environment?
- ?Is there an on-call requirement or is it strictly project-based?
- ?What is the expected project duration or is it a long-term engagement?
- ?Are there any legacy systems that need to be migrated or modernized?
- −Not specified if the role is for a specific client project or internal product
- −No information about team size or reporting structure
- −No details about tools for data governance or version control
- −No mention of on-call or overtime expectations
Close collaboration with data engineers, analysts, and product teams, with an emphasis on mentoring and continuous improvement.
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