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Ascend Learning, a people-first healthcare and learning-technology company, seeks a Business Analyst to transform data into actionable insights. You will work with leaders and technical teams to translate strategic objectives into clear requirements and measurable data products.
The role emphasizes strong analytical thinking, technical expertise, and a consultative approach to ensure high-quality outcomes and shared understanding across stakeholders.
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
The Business Analyst will be a key member of the Enterprise Applications team, owning the clarity and readiness to help our organization transform complex data into actionable insights that drive informed business decisions across the organization. This role partners closely with business leaders, stakeholders, and technical teams to understand strategic objectives, translate business needs into clear, testable requirements, and set delivery teams up to build meaningful data products that empower decision-making.
The ideal candidate combines strong analytical thinking and technical expertise with a consultative mindset, is able to ask the right questions, surface hidden assumptions, and document business context and logic in a way that is accessible to both technical and non-technical audiences. Through a deep understanding of business processes and data ecosystems, the Business Analyst helps the team deliver high-quality outcomes and build a stronger shared understanding of "what good looks like".
This position will work a hybrid schedule from our Leawood, KS or Burlington, MA office locations strongly preferred. Remote work may be considered within the United States.
High school diploma or GED required. Bachelor's degree in Computer Science, Business, or related field or equivalent experience preferred.
The current full-time, annualized base pay hiring range for this role is $72,500.00-$103,620.00. In accordance with applicable state laws, we are providing the expected pay range for this position. Individual compensation will be determined by various factors, including relevant experience, qualifications, current business needs and local market factors. Most regular, full-time employees are eligible to participate in an Ascend incentive bonus or sales plan.
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.