Senior Business Analyst at Ascend Learning
Leawood, KS, US, 66211 | Burlington, MA, US, 01803 — full-time
The Senior Business Analyst plays a critical role in the Enterprise Applications team, owning both the clarity and the delivery of our organization’s most complex, ambiguous, or cross-domain business needs. As a senior member of the team, this role partners with business leaders, stakeholders, and technology teams to deeply understand strategic objectives, resolve conflicting or unclear requirements, and set delivery teams up to build meaningful data products that empower decision-making. Combining strong business acumen with deep technical expertise, the Senior Business Analyst independently leads the end –to-end feature lifecycle for enterprise-scale data management and reporting solutions. This role is responsible for balancing competing priorities, making sound decisions in complex environments, and ensuring solutions are accurate, sustainable, and aligned with best practices and organizational objectives. The ideal candidate is equally comfortable in two modes: the patient, consultative work of untangling an ambiguous ask into clear requirements, and the decisive, day-to-day work of delivering solutions to business problems and opportunities. Through a deep understanding of business processes, data ecosystems, and delivery flow, the Senior Business Analyst helps the team deliver high-quality outcomes end-to-end. WHERE YOU’LL WORK 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. HOW YOU’LL SPEND YOUR TIME Serve as a primary intake owner for incoming business asks, ensuring each request is presented as a clearly stated problem, not a pre-defined solution Translate business needs into clear, testable user stories and acceptance criteria Document business context and metric definitions in plain language, including grain, filters and exclusions, and source systems Reverse-engineer existing SQL queries, Tableau and Power BI workbooks, and Excel models to extract business logic and assumptions Profile raw source data in Snowflake to validate assumptions about structure, quality and completeness before handoff to Data Architect Synthesize findings into an inventory that gives Architecture, Data Engineers, Data Scientists, and Business Intelligence Analysts a clear set of rules to build against Develop early prototypes or wireframes to validate stakeholder understanding before development begins Own day-to-day delivery needs for your area – sequencing ready work and accepting completed work against the acceptance criteria you defined Track progress throughout the build, flagging early when delivered work drifts from what was coped, and keeping stakeholders informed of where their ask stands Partner with Business Intelligence, Engineering, and Architecture to confirm feasibility, usability, and readiness of features Support user acceptance testing and feedback loops before, during, and after delivery to co