Data Analyst in Champaign, Illinois at Hudson Technologies Inc

About the Role:

As a Data Analyst, you will play a critical role in transforming raw data into actionable insights that drive strategic decision-making across the organization. You will be responsible for collecting, cleaning, and analyzing large datasets to identify trends, patterns, and opportunities for improvement. Your work will support various departments by providing clear, data-driven recommendations and visualizations that enhance business performance. Collaborating closely with cross-functional teams, you will ensure data accuracy and integrity while developing reports and dashboards that communicate complex information effectively. Ultimately, your contributions will enable the company to make informed decisions that foster growth and operational excellence.

Minimum Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• Proven experience in data cleaning, data extraction, and data visualization.
• Proficiency in R programming language and SAS for statistical analysis.
• Strong knowledge of pivot tables and data manipulation techniques.
• Experience with business intelligence tools such as Power BI and Tableau.

Preferred Qualifications:

• Master’s degree in a quantitative discipline or related field.
• Experience working in a fast-paced corporate environment or consulting role.
• Familiarity with SQL and database management systems.
• Knowledge of machine learning techniques and predictive analytics.
• Certification in data analytics or business intelligence tools.

Responsibilities:

• Extract, clean, and validate data from multiple sources to ensure accuracy and completeness.
• Develop and maintain interactive dashboards and reports using tools such as Power BI and Tableau.
• Perform statistical analysis and data modeling using R and SAS to uncover insights and trends.
• Collaborate with business stakeholders to understand data needs and translate them into technical requirements.
• Present findings and recommendations through clear visualizations and written reports to support decision-making.

Skills:

The required skills are essential for daily tasks such as cleaning and preparing data to ensure high-quality inputs for analysis. Proficiency in R and SAS enables you to perform complex statistical analyses and build predictive models that inform business strategies. Data visualization skills using Power BI and Tableau allow you to create compelling dashboards and reports that communicate insights clearly to stakeholders. Expertise in pivot tables and data extraction techniques supports efficient data manipulation and summarization. Preferred skills like SQL and machine learning further enhance your ability to manage databases and develop advanced analytical solutions, making your contributions even more impactful.