Data Analyst Talent Community

New_NystecAlbany, NY

About The Position

This posting is intended to identify and engage potential candidates in advance of hiring needs. Applications will be reviewed regularly, and qualified candidates will be contacted when a role becomes available. At NYSTEC, consultants at all levels contribute to data analysis work across a wide range of client projects. In this type of role, you’ll work closely with stakeholders to identify opportunities for change in how their organization operates and will help design and deliver solutions that drive meaningful impact. This includes critical thinking and problem-solving, as well as understanding data analysis.

Requirements

  • Analytical skills and ability to interpret data trends.
  • Ability to communicate insights clearly to non-technical stakeholders.
  • Experience preparing reports or dashboards for business use.
  • Attention to detail and accuracy in data review.
  • Experience using and analyzing information or data to inform decision-making.
  • Ability to develop relationships with stakeholders and to understand their needs through excellent listening and effective written and verbal communication.
  • Proficiency with the Microsoft Office suite of products, with advanced Excel and Word skills.

Nice To Haves

  • Proficiency in structured query language (SQL) for querying and joining datasets.
  • Experience with business intelligence (BI) and visualization tools (e.g., Tableau, Power BI).
  • Knowledge of Python, R, or other programming languages for analysis.
  • Familiarity with databases, data warehouses, or cloud platforms (e.g., Snowflake, AWS, Azure).
  • Understanding of data governance, data quality, or compliance frameworks.

Responsibilities

  • Develop and maintain reports and dashboards for internal teams, clients, and stakeholders.
  • Collaborate with team members to analyze and collect data.
  • Perform data quality verification checks to ensure the accuracy of reports and data.
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Manage data and effectively document data processes.
  • Collaborate with team members to solve complex problems using data.

Benefits

  • Equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances.
  • Reasonable accommodation for qualified individuals with disabilities.
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