Location: New York City, NY – (100% Onsite)
Local candidates preferred.
Basic Qualifications:
3+ years of proficiency in data analysis tools such as [Tools – e.g., Excel, SQL, R, Python].
3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
Minimum Skills Required:
Strong proficiency with at least 5 years’ experience in data analysis tools – Python and SQL.
Strong experience with at least 5 years’ experience in data visualization using Power BI
Experience with cloud data platforms such as [Platforms – e.g., AWS Redshift, Google Big Query, Azure Synapse].
Familiarity with ETL (Extract, Transform, Load) processes and tools.
Knowledge of machine learning techniques and tools.
Experience in a specific financial services industry
Understanding of data governance and data privacy regulations.
Ability to query and manipulate databases and data warehouses.
Excellent analytical and problem-solving skills.
Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.
Detail-oriented with a commitment to accuracy
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