Data Analyst
Description
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.
Job Requirements
To be successful in this role, candidates should possess the following qualifications:
Education & Experience
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field required
Master’s degree preferred
Minimum of 3 years of experience in data analysis, business intelligence, or a related analytical role
Technical Skills
Strong proficiency in SQL for querying and managing databases
Experience with programming languages such as Python or R
Hands-on experience with data visualization tools (Tableau, Power BI, or similar platforms)
Understanding of ETL processes and data warehousing concepts
Knowledge of statistical analysis methods and modeling techniques
Familiarity with machine learning or data mining concepts is a plus
Core Competencies
Strong analytical thinking and problem-solving abilities
High attention to detail and commitment to data accuracy
Excellent written and verbal communication skills
Ability to present technical findings to non-technical stakeholders
Strong organizational skills and ability to manage multiple priorities
Ability to work independently while also collaborating within cross-functional teams
Compensation & Employment Details
Pay Rate: $33 per hour
Employment Type: Temp-to-Hire
Schedule: Full-Time
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