Data Analyst

Title: Data Analyst/Data Governance Location: NYC 10004 On-site/Remote/Hybrid: Hybrid 3 days onsite/2 days remote. Duration: 24 Months (37.5 hours per week) Interview Process: 1-2 Rounds Duration: 24 Months - 37.5 hours per week Minimum Qualification: • 5 years of experience in data governance. • 5 years of experience in compiling and computing data according to statistical formulas for use in data analytic and/or statistical studies. • 1 year of experience with Virtual Currency or Crypto Currency • A Bachelor's Degree. Position Summary: Duties include, but are not limited to, the following: • Work cross-functionally with various groups to analyze and validate financial call report and capitalization data. • Maintain existing data warehousing workflow, including checking data quality and preparing data quality reports for Client's virtual currency transaction monitoring program. • Assist the Data Steward for the Research & Innovation Division in data governance processes, including data quality, data cataloguing, and other data governance activities. • Coordinate with data team stakeholders, collect work items, and prepare reporting and presentations as needed. • Closely collaborate with data stakeholders across the Research & Innovation and Technology Divisions to progress assigned projects/initiatives. • Conduct data analysis on data and related processes, prepare data definition and document its usage, prepare business requirements. • Compile and compute data according to statistical formulas for use in statistical studies. May perform model calculations and compile charts and graphs for use by staff. • Work with complex data sets to understand problems and recommend solutions and procedures while using various analytical and statistical approaches. • Use technical expertise to automate manual processes and reporting. • Collaborate with business users and business analysts to develop analytical strategies for implementation in various projects. In addition, the candidate must possess the following abilities: • Data analysis. • Data visualization. • High-level competency in Excel (e.g., advanced formulas, macros, etc.). • Expertise in relational database management systems, SQL, Python, and SnowSQL. • Experience utilizing GitHub for version control and project management. • Experience in data platforms for data quality and data cataloguing/metadata management, such as Informatica, Collibra, Alation, etc. • Experience in modern cloud technologies such as Salesforce, Snowflake, etc. • Develop metrics, reports, and presentations. • Ability to translate complex business requirements to technical specifications. • Highly motivated and effective working autonomously and as part of cross-functional teams. • Ability to multi-task across projects while maintaining a high-quality work product. • Adaptable & Communicative, thrives in dynamic environments, and communicates clearly with technical stakeholders.