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Data Analyst-Data Governance
Data Analyst-Data GovernanceInterSources • NYC, NY, US
Data Analyst-Data Governance

Data Analyst-Data Governance

InterSources • NYC, NY, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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.

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