> Markdown version of [/jobs/ext/3772397-junior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3772397-junior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Analyst - **Company:** N2 Services Inc - **Location:** Rochester, NY, United States - **Experience:** Starter - **Contract:** Contract - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Data Systems, SQL Databases, Claude - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/6a09f893-15ec-40ec-aebd-61f44e285af1 ## About the Role We're looking for a curious, resourceful junior data analyst who enjoys jumping into unique problems and figuring out how to solve them. This role will support the data team by analyzing information, identifying opportunities, documenting business requirements, and helping develop practical data solutions. The ideal candidate is comfortable asking questions, learning new tools, and using AI tools such as Claude to research ideas, propose solutions, build requirements, and accelerate analysis and development. You don't need to know everything-you need to be willing to dig in, experiment, and figure things out., * 1-3 years of experience in data analysis, reporting, business analysis, or a related field. * Strong analytical and problem-solving mindset. * Comfortable working with Excel and preferably SQL and/or BI tools. * Curious, self-directed, and willing to learn. * Comfortable using AI tools to research, brainstorm, and accelerate work. * Able to take an ambiguous problem and turn it into a structured plan. * Strong communication skills and attention to detail. ## Description * Analyze data and investigate unique business questions and problems. * Work with stakeholders to understand needs and translate them into clear business requirements. * Use Claude and other AI tools to explore solutions, develop requirements, and assist with analysis and technical work. * Support dashboards, reporting, data processes, and other data-team projects. * Identify data issues and help develop practical solutions. * Jump into ad-hoc projects and new challenges as they arise. * Document findings, requirements, processes, and proposed solutions.