Senior Financial Analyst

What You Will Do Partner closely with Commercial and Supply Chain teams to provide insights on performance, pipeline, pricing, and profitability Build and maintain order intake models and short-term revenue projections using order-level data Support monthly forecasting and deliver high-frequency analysis during quarter close, including revenue pacing and variance analysis Build and maintain Power BI dashboards, reports, and (preferred) semantic data models Independently extract, transform, and integrate data using Power Query and/or SQL across CRM, ERP, and financial systems Profile and assess data quality, identify inconsistencies, and implement data cleansing, reconciliation, and imputation logic Ensure full traceability from source systems through reporting outputs and forecast models Apply consistent commercial data structures including customer hierarchies, product taxonomy, segmentation, and UOM normalization Automate recurring reporting and analytics workflows and improve data processes Support US and global initiatives and provide ad hoc analysis Minimum Qualifications Bachelor’s degree in finance, Economics, Data Analytics, or related field 5 years of professional experience 4 years of experience in Commercial Finance / FP&A with strong analytics exposure Experience in global manufacturing or SKU-driven businesses 3 years of hands-on experience with Power BI or Tableau (reporting, dashboards, data models) Strong experience with Power Query and SQL for data extraction, transformation, and reconciliation Proven ability to build order intake models, short-term forecasts, and support quarter-end analytics Experience integrating datasets across CRM, ERP, and financial systems with traceability Data quality management experience including validation, reconciliation, and analytical adjustments Commercial data literacy (customer hierarchies, product taxonomy, segmentation, UOM normalization) Proven ability to partner with multiple senior stakeholders across Finance, Commercial, Marketing and Supply Chain No immigration sponsorship is available for this role at this time. Preferred Qualifications Python or R programming language Experience with ThoughtSpot Experience with data transformation tools like Alteryx Annual Or Hourly Compensation Range The pay range for this position is $85,900.00 - $128,900.00. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Benefits Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Potential Customer Requirements Notice Undergo additional background screens and/or drug/alcohol testing for customer credentialing. Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab. Americans With Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website. Our Commitment to a Culture of Inclusion & Belonging At Ecolab, we believe the best teams are inclusive. We are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants and recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran. In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through affirmative action (AA). We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. #J-18808-Ljbffr