Role Overview
The Data Analyst provides data-driven insights and analytical support in solving strategic and operational problems by working with large data sets and translating results into actionable recommendations.
What You Will Do
Conducts analysis using statistical and visualization techniques, identifies and develops key business and operational metrics, builds dashboards and reports, and provides ad-hoc data analysis for business leaders.
Why It Might Be a Fit
This role requires a strong analytical mind, effective communication skills, and the ability to work with large data sets. The ideal candidate will have a bachelor’s degree in a quantitative field and 1-3 years of experience in a quantitative analytical field.
Requirements
- Bachelor’s degree in quantitative field such as Data Analysis, Statistics, Mathematics or related disciplines.
- Minimum 1-3 years of experience in a quantitative analytical field including experience in predictive modeling/forecasting, data analysis or operational analysis.
- Working knowledge of ETL (Extract-Transform-Load) concepts for acquiring, cleansing, and combining diverse and disparate data sets preferred
- Working knowledge of building reports and dashboards using data visualization tools (Power BI, Tableau, Spotfire) required
- Working knowledge of SQL to query large and complex data sets, test query results, and improve query performance required
- Experience in querying and analyzing and working with data languages and platforms to investigate large and diverse data sets.
- Working Knowledge of advanced analytics techniques (statistical testing, machine learning modeling) preferred
- Working knowledge of a data analytics programming language such as R, Python or Julia preferred
To apply for this job please visit recruiting.paylocity.com.

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