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Opal Nova Inc. in Pittsburgh, PA is seeking a Data Analyst to analyze complex data sets and provide actionable insights that drive business decisions. The role is full-time and located in Pittsburgh, offering a competitive salary and comprehensive benefits.
You will clean and organize data, create reports and visualizations, and collaborate with cross-functional teams to understand trends and metrics. A degree in data analysis or statistics and proficiency in SQL, Python, and data visualization
Opal Nova Inc. seeks a Data Analyst in Pittsburgh, PA, for a full-time position. The role involves analyzing complex data sets to provide actionable insights that drive business decisions. The salary range is $132,000 - $159,774 per year, with full-time benefits.
As a Data Analyst, you will clean and organize data, create reports and visualizations, and collaborate with cross-functional teams to understand trends and patterns.
You will be part of a dynamic team in the vibrant city of Pittsburgh, Pennsylvania, contributing to our data-driven approach to problem-solving. Pittsburgh, known for its rich history and cultural diversity, offers a unique backdrop for your work. The city's thriving tech scene and strong emphasis on innovation create an environment where your skills and ideas can flourish. As part of the team, you will have the opportunity to collaborate with talented individuals, each bringing their unique perspectives and expertise to the table. Together, you will tackle complex challenges, leveraging data to inform your decisions and drive meaningful outcomes. The city's commitment to community and social impact aligns with our mission, providing a sense of purpose and fulfillment in your work.
The position offers a competitive salary and benefits package, which includes health insurance, retirement plans, and paid time off. Employees can also enjoy additional perks such as professional development opportunities, flexible work arrangements, and wellness programs. The salary is designed to be attractive and reflective of the candidate's skills and experience in the field. The benefits package is comprehensive, providing financial security and support for employees' overall well-being.
The candidate should have a degree in data analysis, statistics, or a related field, proficiency in SQL, Python, and data visualization tools, experience with big data technologies, and a strong understanding of business metrics.
by December 13, 2026.
Analyze complex data sets, create reports and visualizations, collaborate with cross-functional teamsDegree in data analysis, statistics, or related field, proficiency in SQL, Python, and data visualization tools, experience with big data technologies, strong understanding of business metrics