Data Analyst - Financial Services (Data Quality, Lineage & Risk)

n the US

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• All applicants authorized to work in the United States are encouraged to apply.
• At least 2 years of Information Technology experience.
• At Least 2 years of experience as a Data Analyst, preferably within the Financial Services industry.
• Strong understanding of financial products, processes, and regulatory requirements.
• Proven experience in identifying, analyzing, and resolving data quality issues.
• At least 1 years of hands-on experience with data profiling tools and techniques.
• Familiarity with data lineage concepts and tools.
• Understanding of data risk management principles and methodologies.
• Proficiency in SQL and experience querying large datasets.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication (written and verbal) and presentation skills, with the ability to explain technical concepts to a non-technical audience.
• Ability to work independently and collaboratively within a team environment.

Preferred Qualifications:

• Master's degree in a relevant field.
• Experience with data governance frameworks and methodologies.
• Familiarity with data catalog tools and metadata management.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data warehousing and ETL concepts.
• Experience with statistical analysis tools (e.g., R, Python).
• Relevant certifications (e.g., CDMP, FRM, CFA).
• Experience working in an Agile development environment.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.