Data Analyst

Job Description

A client of Insight Global is seeking a Data Analyst to join their growing analytics team. This individual will sit at the intersection of data analysis and data science, focusing on applying statistical rigor to business data in order to drive actionable insights.

This is not a traditional reporting role. The ideal candidate will go beyond building dashboards and instead leverage statistical analysis, experimentation, and forecasting to validate trends, identify meaningful patterns, and guide business decisions. This person will work closely with stakeholders across the business to translate complex data into clear, actionable recommendations.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 3-5+ years of experience in data analytics, business intelligence, or a related role (flex depending on degree)

Strong experience with:

• SQL

• Power BI

• Experience with at least one programming/statistical

• Python, R, or SAS

Strong foundation in statistics, including:

• Hypothesis testing

• Probability/statistics concepts

• A/B testing / experimentation

• Forecasting or clustering techniques Degree in Statistics, Mathematics, Data Science, or related field

Experience with:

• Advanced Power BI (DAX, complex modeling)

• Data wrangling and large dataset manipulation

• Data engineering concepts (ETL pipelines, data modeling)

Exposure to:

• Predictive analytics or machine learning concepts

• Cloud platforms (Azure, Fabric, Synapse)

• Experience working in a data-mature organization (large enterprise or established analytics team)