Data Analyst (Temp-to-Hire)

Pay Rate: $33 per hour
Employment Type: Full-Time | Temp-to-Hire

Position Overview

We are seeking a highly analytical and detail-oriented Data Analyst to join our team on a temp-to-hire basis. Reporting directly to the Director of IT, this role plays a critical part in transforming raw data into meaningful insights that support strategic and operational decision-making across the organization.

The ideal candidate will have a strong technical foundation in data management and analytics, combined with the ability to communicate findings clearly to both technical and non-technical stakeholders. This position requires someone who is comfortable working with large datasets, building automated processes, and proactively identifying opportunities for business improvement through data.

Job Description

The Data Analyst will be responsible for collecting, organizing, analyzing, and interpreting complex datasets from multiple business systems. This role will partner with IT and cross-functional departments to understand reporting needs, define KPIs, and develop dashboards that provide visibility into business performance.

Key responsibilities include:

• Extracting, transforming, and loading (ETL) data from various internal and external data sources

• Cleaning and validating datasets to ensure data accuracy, integrity, and reliability

• Developing and maintaining automated scripts and workflows to streamline reporting processes

• Performing exploratory data analysis to identify trends, correlations, and anomalies

• Applying statistical analysis and modeling techniques to support business initiatives

• Conducting hypothesis testing and assisting in predictive analytics projects

• Designing, developing, and maintaining interactive dashboards and visual reports using tools such as Tableau or Power BI

• Translating complex analytical findings into clear insights and actionable recommendations

• Monitoring and improving data quality through audits and validation checks

• Supporting business leaders with ad-hoc analysis and scenario modeling

• Collaborating with stakeholders to improve operational efficiency and performance tracking

• Staying current with emerging data analytics tools, technologies, and best practices

This role requires a proactive mindset, strong problem-solving skills, and the ability to balance multiple projects in a fast-paced environment.