DescriptionClean Harbors is seeking a Senior Business Data Analyst to support the Sales Operations function. This role is responsible for developing and maintaining reporting, analytics, and forecasting models using SQL, Salesforce, Power BI, Tableau, Excel, and other internal tools. The Senior Business Data Analyst will partner closely with Sales Operations, Sales, IT, and Finance to identify performance gaps, generate insights, and provide data-driven recommendations that support strategic decision-making and revenue growth.
This role includes continuous development of sales performance metrics, creation of interactive dashboards, enhancement of pipeline and revenue forecasting, and application of statistical modeling to optimize sales strategy. The analyst will also support Sales leadership with a wide range of ad-hoc analytical needs.
Why work for Clean Harbors?
Health and Safety is our #1 priority and we live it 3-6-5!
Competitive wages
Comprehensive health benefits coverage after 30 days of full-time employment
Group 401K with company match
Own part of Clean Harbors with our Employee Stock Purchase Plan (U.S. Only)
Generous paid time off, company-paid training, and tuition reimbursement
Positive and safety-focused work environments
Opportunities for growth and development for all the stages of your career
ResponsibilitiesPrioritize Health and Safety by following all safe work practices and policies.
Use SQL, Python, Excel (pivot tables, Power Pivot, macros, large datasets), Tableau, and Power BI to assess sales performance and KPIs.
Develop and maintain interactive dashboards, forecasting models, and statistical analyses based on business requirements.
Manage and respond to ad-hoc analytical requests from business leaders.
Validate and cleanse data, identifying issues and recommending corrective actions.
Communicate insights and improvement opportunities to senior leadership.
Maintain confidentiality of all sensitive and proprietary information.
QualificationsBachelor’s degree in Data Science, Finance, Statistics, Business Analytics, Computer Science, or related field (preferred).
2+ years of experience programming with SQL.
Advanced Excel skills (pivot tables, Power Pivot, macros, large d