Data Analyst 2 - Albany, United States - General Services, Office of

Mark Lane

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Mark Lane

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Description

Current New York State employee with one year or more of permanent service as a Data Analyst 1 OR bachelor's degree and three years of experience* in data visualization, and statistical models and data mining tools.


  • Substitution: A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of the specialized experience. A Ph.
D. in the above fields may substitute for two years of the specialized experience.


Preferred Qualifications:

  • Experience in SQL querying and scripting languages (Python, R, etc.)
  • Experience with data warehousing, data lakes, and data pipelines.
  • Proficient in data visualization tools (e.g., Tableau, Power BI).
  • Experience working with complex datasets, including both structured and unstructured data.
  • Excellent communication and collaboration skills.
  • Strong problemsolving and analytical skills to identify and solve datadriven problems.
  • Ability to work independently and manage multiple projects simultaneously.

Duties Description

  • Develop and maintain queries and scripts to extract and manipulate data for analysis.
  • Automate data processing workflows and manipulate data using scripting and programming languages.
  • Perform quality assurance testing on established data mining processes and document deficiencies.
  • Collaborate with business units to collect data and requirements to create data visualizations and reporting.
  • Build relationships with business units and provide status updates.
  • Compile adhoc data analyses within assigned business units and provide data and information to management for determination of data standards.
  • Assess data structures to determine use in producing reliable and pertinent reporting.
  • Interpret, review, and draw conclusions based on data mining.
  • Provide technical advice to data analytic teams and business units.
  • Collaborate with Data Analytics team to develop data mining structures for managing data collection.
  • May supervise lowerlevel staff.

Additional Comments


The Office of General Services (OGS) is an equal opportunity employer, and we recognize that diversity in our workforce is critical to fulfilling our mission.

We encourage applicants for all communities to apply.

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