Data Analyst-Data Governance

Title: Data Analyst/Data Governance
Location: NY 10004
On-site/Remote/Hybrid: Onsite
Duration: 24 Months (37.5 hours per week)
Interview Process: 1-2 Rounds (In-Person)

NOTE:
NEEDS TO BE A LOCAL CANDIDATE ONLY.
Duration: 24 Months - 37.5 hours per week
Written response to the following statement. "Please provide a description of your work experience in data quality and data cataloguing and include at least one specific example of each”.

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.
• Proof of eligibility to work in NYS.

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 DFS'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 R&I 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.
• Other duties as assigned.

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.