Senior Associate, FP&A

Position Summary This role will be an integral contributor to the SCS FP&A function, with a strong emphasis on data analytics, financial systems, automation, and scalable reporting. The ideal candidate brings a technical and analytical skill set — with experience in data analytics, data engineering, business intelligence, or financial systems — and can translate complex data into clear financial insights, executive-ready reporting, and actionable business recommendations. The Senior Associate will partner closely with the Head of FP&A, CFO, and cross-functional stakeholders to improve financial reporting infrastructure, enhance forecasting and planning processes, support technology implementations, and deliver high-quality analysis for strategic initiatives.

This role is well suited for someone who enjoys solving ambiguous business problems, working with large and complex datasets, building repeatable analytical processes, and communicating insights to senior leaders. This is a hybrid role based in Boston, MA.

Responsibilities

Partner with the Head of FP&A and CFO on critical finance, data, and technology initiatives, including financial systems implementations, reporting automation, and planning process improvements Build, maintain, and enhance scalable financial reporting and analytical tools using Excel, Power BI, SQL, planning systems, or other data visualization / business intelligence platforms Support the annual budgeting and rolling forecasting processes by improving data workflows, coordinating stakeholder inputs, managing timelines, and ensuring accuracy across financial models and reporting outputs Partner with finance, accounting, operations, and technology teams to improve data quality, streamline reporting processes, and automate recurring analyses where possible Translate business questions into structured analyses, dashboards, models, and reporting outputs that support decision-making across the organization Manage multiple concurrent projects, ensuring priorities, milestones, deliverables, and stakeholder expectations are met in a dynamic environment

Qualifications

Bachelor’s degree in finance, economics, data analytics, engineering, information systems, computer science, mathematics, or a related analytical field 3+ years of experience in IT development, data analytics, data engineering, business intelligence, consulting, or a similarly analytical / technical environment Strong analytical and problem-solving skills, with the ability to work with complex datasets and translate findings into clear business narratives Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar data analytics / automation tools strongly preferred Experience building dashboards, automated reporting processes, financial models, or analytical tools that improve decision-making and reduce manual effort Strong understanding of financial statements, budgeting, forecasting, variance analysis, and key business performance drivers Experience with Workday Adaptive Planning, Snowflake, data warehouses, or similar financial planning / data platforms is a plus Demonstrated ability to structure ambiguous problems, manage analytical workstreams, and partner effectively with finance, technology, and senior business stakeholders Strong written and verbal communication skills, with the ability to present technical or analytical concepts clearly to non-technical audiences Detail-oriented, intellectually curious, and comfortable balancing hands-on data work with executive-level communication and project management This is an exempt position.

Base Pay Range

for this role is expected to be between $90,000 - $110,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.

Compensation

package for employees.