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. About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company. InterSources