Sr Data Solutions Analyst
Framingham, Massachusetts, United States
ApplyStaples is business to business. You’re what binds us together.
Our talented finance team partners with every area of the business to drive results and provide financial expertise. We are passionate about analyzing and interpreting information to assess performance and provide guidance.Our team serves as a true partner and advisor to all our business leaders; working with them to accelerate the company’s profitability and growth.
The Senior Business Analyst plays a critical individual contributor role within Finance Data Services (FDS), supporting multiple finance functions by designing, developing, and delivering scalable data and analytics solutions. This role partners closely with cross-functional stakeholders to translate complex business requirements into structured data solutions, actionable insights, and process improvements.
The position emphasizes data pipeline development, automation, analytics, and governance, enabling accurate, timely, and decision-ready reporting. Leveraging deep analytical expertise and business acumen, the Senior Business Analyst independently leads complex workstreams, anticipates risks, and delivers solutions that improve operational efficiency and business outcomes.
What you’ll be doing:
Data Engineering & Data Management
Design, develop, and maintain scalable data pipelines to support finance reporting and analytics needs
Integrate, cleanse, and rationalize data from multiple systems to establish accurate and governed datasets (“single source of truth”)
Proactively identify and remediate data quality issues; define and enforce data governance standards
Business Analysis & Solution Design
Partner with Finance and cross-functional stakeholders to gather and document business requirements
Translate business needs into technical specifications, data models, and analytics solutions
Independently manage and deliver complex analysis supporting budgeting, forecasting, and operational decision-making
Analytics & Insights
Analyze large and complex datasets to identify trends, risks, and opportunities
Develop actionable insights and recommendations that drive business performance and efficiency
Present findings through dashboards, reports, and executive-level summaries
Automation & Process Improvement
Identify opportunities to automate manual processes and improve operational efficiency
Develop and support tools, scripts, or analytic solutions (e.g., SQL/Python-based automation)
Drive continuous improvement initiatives across Finance processes
Documentation & Governance
Document analytical processes, methodologies, and outputs to ensure auditability and repeatability
Support governance initiatives, including data definitions, controls, and enterprise data standards
Project Execution & Coordination
Lead or support multiple concurrent projects, ensuring delivery against timelines and objectives
Anticipate and mitigate risks, escalating issues appropriately
Mentor junior analysts and provide guidance on analytical approaches and tools
What you bring to the table:
Advanced analytical thinking and problem-solving capability
Strong business acumen with the ability to connect data insights to business outcomes
Proactive mindset with demonstrated initiative and ownership
Excellent communication and data storytelling skills
Strong collaboration and stakeholder management capability
Ability to manage ambiguity and navigate complex organizational structures
Continuous improvement mindset with a focus on efficiency and optimization
What’s needed- Basic Qualifications:
Bachelor’s Degree in a quantitative or technical field (e.g., Finance, Economics, Mathematics, Statistics, Computer Science) or equivalent work experience.
5+ years of experience performing business analysis, data analysis, or analytics solution delivery
2+ years of experience using Python for data analysis or automation (object-oriented programming preferred)
Advanced proficiency in SQL with the ability to design and optimize complex queries
Demonstrated ability to analyze large datasets and translate findings into actionable insights
Proven experience working cross-functionally with Finance or business stakeholders
Experience gathering and documenting business and technical requirements
Strong problem-solving skills with evidence of resolving complex business challenges
Experience delivering at least 2+ end-to-end analytical or data solutions/projects
What’s needed- Preferred Qualifications:
Master’s degree in a quantitative or technical discipline
Experience with enterprise data platforms (e.g., Snowflake, AS400, or equivalent)
Experience building data pipelines and automated workflows in a production environment
Familiarity with data governance frameworks and financial data structures
Experience developing dashboards or visualization tools (e.g., Power BI, Tableau)
Prior experience leading workstreams or mentoring junior analysts
We Offer:
Inclusive culture with associate-led Business Resource Groups
22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!
The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.