Sr. Analyst Reporting Sales Operations

Staples; Framingham (MA); On-site; USD 75,000 - 100,000; Full time

Job summary

A leading office supply retailer is seeking a Senior Analyst for Sales Operations to enhance data-driven decision-making. You will create reports and dashboards, analyze performance metrics, and collaborate with various departments to achieve operational excellence. Candidates should have a degree in finance or related field and at least 2 years of relevant experience. Strong SQL and analytical skills are required, along with familiarity with visualization tools.

Qualifications

• Minimum 2+ years of experience in analytics, business intelligence, or sales operations.
• Proficiency with SQL for data extraction and analysis.
• Advanced Excel skills, including pivot tables and data modeling.

Responsibilities

• Develop and maintain dashboards and reports for sales performance.
• Build and optimize data models using SQL.
• Create visualizations that communicate insights.

Skills

Strong analytical mindset

Excellent critical thinking

Outstanding communication skills

Collaboration skills

Interpersonal skills

Education

Bachelor’s degree in finance, economics, science, math, engineering

Tools

SQL

Power BI

Tableau

MicroStrategy

Alteryx

Job description

Staples is business to business. You’re what binds us together.

Senior Analyst, Sales Operations – Reporting and Analytics

The Senior Analyst, Sales Operations – Reporting and Analytics is a key driver of data-informed decision-making across our sales organization. In this role, you'll enable business leaders to make timely, impactful choices by designing and maintaining robust analytical tools that track performance and measure success. Working in a collaborative, innovative environment, you’ll partner with teams across Sales, Finance, Operations, and IT, helping Staples achieve growth and operational excellence.

What you’ll be doing:

• Develop, automate, and maintain dashboards, scorecards, and reports to provide visibility into sales performance, pipeline health, and revenue trends.
• Build and optimize data models and queries using SQL for scalable, accurate, and efficient data delivery.
• Create visualizations with Power BI, Tableau, or MicroStrategy that communicate insights in a clear, actionable format.
• Define success metrics and KPIs for sales initiatives, ensuring consistent measurement and tracking.
• Conduct deep‑drive analysis on sales and operational data to identify opportunities and performance improvement areas.
• Utilize Alteryx or similar ETL tools to streamline data preparation and automation workflows.
• Drive process optimization and reporting standardization, enabling self‑service analytics and continuous improvement.
• Collaborate with cross‑functional teams to present findings, communicate technical concepts, and deliver solutions that meet evolving business needs.

What you bring to the table:

• Strong analytical mindset with excellent critical thinking and problem‑solving ability.
• Outstanding communication and presentation skills, able to explain complex concepts clearly.
• Exceptional organizational skills and attention to detail, with a commitment to accuracy and data quality.
• Ability to manage multiple priorities and deadlines in a dynamic, fast‑paced environment.
• Collaborative approach and strong interpersonal skills, with a drive for continuous learning and improvement.
• Initiative and intellectual curiosity in exploring new tools and methodologies.

Basic Qualifications:

• Bachelor’s degree (BA/BS) in finance, economics, science, math, engineering, or other analytical field; or equivalent work experience.
• Minimum 2+ years of experience in analytics, business intelligence, or sales operations.
• Proficiency with SQL for data extraction and analysis.
• Experience with Power BI, Tableau, or MicroStrategy for dashboard development and reporting.
• Advanced Excel skills, including pivot tables, data modeling, and formulas.

Preferred Qualifications:

• Experience with Alteryx or other workflow automation/data preparation tools.
• Familiarity with Snowflake, Salesforce, or enterprise data warehouse environments.
• Prior experience with project management or continuous improvement methodologies (Lean, Six Sigma, Agile).

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.