InterSources
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.
- 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.
- 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.