Must Have Qualifications: Candidates must have 7+ years as a true Data Analyst. Must have
experience in data analysis, advanced SQL, and Python. Experience extracting and analyzing data,
building and maintaining data models and working with various data structures and database
technologies. Strong communication skills are required and must be able to effectively collaborate
with internal stakeholders at all levels. Experience with Snowflake and Databricks is nice to have.
Required Qualifications
o Strong experience working with relational and non-relational databases, including
advanced SQL for complex data extraction, transformation, and analysis
o Proficiency in Python for data analysis, validation, automation, and scripting to support
data quality and reconciliation processes
o Working knowledge of Excel (advanced functions, pivot tables) and experience handling
semi-structured data formats (e.g., JSON, XML)
o Experience integrating with and analyzing data from REST APIs
- Data Quality, Modeling & Analysis
o Hands-on experience in data profiling and data quality assessments using both manual
techniques and data quality tools
o Proven ability to analyze large and complex datasets to identify patterns, anomalies,
and inconsistencies
o Experience validating data against enterprise data models, schemas, and business
rules, ensuring alignment with target-state architectures
- Data & Business Alignment
o Strong understanding of data lifecycle management, IT business processes, and
alignment of data to business objectives
o Ability to interpret business requirements and support requirements analysis, with
focus on upstream (producer) and downstream (consumer) data impacts during
transformation initiatives
- Collaboration & Communication
o Strong facilitation and communication skills, with the ability to lead cross-functional
discussions across business, data, and technology stakeholders
o Demonstrated ability to partner with stakeholders to drive alignment and influence
data-related outcomes
- Project & Delivery Execution
o Foundational project management skills, including tracking deliverables, risks, issues,
and dependencies across data workstreams
o Self-motivated, proactive, and results-oriented problem solver with strong
analytical thinking and communication skills
o Ability to quickly learn new systems and technologies and adapt in a fast-paced
environment
Preferred Qualifications
- Experience within the mortgage or financial services industry
- Familiarity with Freddie Mac, Fannie Mae, or similar GSE environments
- Experience supporting data modernization, migration or enterprise data programs
- Exposure to data governance, reconciliation frameworks, and control design
