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Associate Data Science Analyst Jobs in Kentucky (NOW HIRING)

Vaco by Highspring

Data Analyst

Lexington, KY · On-site

Bachelor''s or Master''s degree in Analytics, Information Systems, Data Science, Business, or a related discipline. * Strong experience with Power BI, data visualization, and business intelligence ...

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Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What are the most commonly searched types of Data Science Analyst jobs in Kentucky? The most popular types of Data Science Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Associate Data Science Analyst jobs? Cities in Kentucky with the most Associate Data Science Analyst job openings:
Associate Data Science Analyst jobs near you

Data Analyst

Vaco by Highspring

Lexington, KY • On-site

Other

Posted 28 days ago

Job description

Let Vaco advocate for you! We are currently seeking a Data Analyst to support a growing team.

Responsible for developing and maintaining enterprise reporting and business intelligence solutions that enable data-driven decision-making across the organization. Partnered with business stakeholders and technical teams to transform complex data into actionable insights through advanced analytics, visualization, and reporting tools.

Key Responsibilities:

  • Designed and delivered interactive dashboards, scorecards, and analytical reporting solutions using Power BI.
  • Built and optimized scalable data models to support business reporting, performance tracking, and self-service analytics initiatives.
  • Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex reporting requirements.
  • Collaborated with data engineering teams to align data architecture and reporting strategies, ensuring data quality and consistency.
  • Conducted technical reviews of reports, dashboards, and analytical solutions to promote best practices, maintain standards, and improve performance.
  • Investigated and resolved reporting, data quality, and data integration issues across multiple systems and platforms.
  • Provided guidance and mentorship to team members while supporting knowledge-sharing and analytics adoption throughout the organization.
  • Facilitated user enablement initiatives, including training and documentation, to increase business utilization of reporting tools.
  • Evaluated emerging analytics technologies and platform enhancements to improve reporting capabilities and operational efficiency.
  • Supported continuous improvement efforts through process optimization, automation, and responsible adoption of AI-enabled solutions.

Qualifications:

  • Bachelor''s or Master''s degree in Analytics, Information Systems, Data Science, Business, or a related discipline.
  • Strong experience with Power BI, data visualization, and business intelligence development.
  • Advanced knowledge of SQL, data modeling, and dimensional design concepts.
  • Experience developing scalable reporting solutions within complex enterprise environments.

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