ResponsibilitiesDive deep into complex financial datasets to uncover trends, patterns, and mission-critical insights. Partner directly with business leaders to understand their challenges and design elegant, data-driven solutions. Architect the flow of information by designing, building, and documenting data models, system flows, and technical dictionaries. Champion data integrity by cleansing, validating, and preparing data to ensure absolute accuracy and reliability. Serve as the bridge between business and technology, ensuring seamless data access and fostering a culture of data literacy across the organization. RequirementsA Bachelor's degree in Data Science, Information Technology, or a related field.
A minimum of 8 years of dedicated data analysis experience within the finance industry. Expert-level proficiency in SQL and a strong command of Python or R. Proven talent for creating compelling narratives with data visualization tools (e. g. , Tableau, Power BI). Deep familiarity with data manipulation libraries (Pandas, NumPy), data warehousing, and ETL processes. An analytical, problem-solving mindset with an unwavering commitment to quality and accuracy. Bonus Points For: Experience with Collibra, agile methodologies, and data governance frameworks. Specialized knowledge in Financial Accounting, Management Accounting, Risk Management, or Capital Management. Professional certifications such as CDMP. *** Note:
No visa sponsorship for this role.
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