Business Analyst
Job details
- Education
- Bachelor's degree
- Posted
- Oct 28, 2026
- Last confirmed open
- Oct 28, 2026
About this role
Job Overview: The Business Analyst is responsible for gathering, cleaning, interpreting and presenting data. They must research and use data to solve problems, optimize profit, minimize turnover, and streamline logistics, in order to help make business decisions.
It is their responsibility to assess the department’s complex information including but not limited to financial reports, market research and operating procedures with the goal of improving business operations.
Essential Responsibilities
Create reports, dashboards and visualization to help others understand business performance Collect and analyze relevant data to identify trends, patterns, and bottlenecks for improvement Perform statistical analyses on large sets of data Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Develop and execute a regional business plan aligning with program goals Help identify automation opportunities Monitor data management processes to ensure data quality and consistency Collaborate with leadership on roadmap planning and workforce optimization for continuous improvement Additional Responsibilities: As assigned by Director or Senior Manager Specific Knowledge, Skills and Abilities: Excellent written and verbal communication skills Strong SQL or Excel skills, with aptitude for learning other analytics tools Technical writing experience in relevant areas, including queries, reports, and presentations Strong critical thinking skills and attention to detail Proven ability to handle confidential information with discretion, be adaptable to various competing demands in a high paced environment Deadline-oriented Preferred Education, Experience and Licenses: Bachelor’s degree in mathematics, computer science, economics, or statistics Solid 5-8 years’ of practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS Experience with database and model design and segmentation techniques