Senior Analyst - Pricing Analytics

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Job Summary

Gather disparate data from various data sources, analyzes and normalizes the data to ensure quality of data for analysis. Responsible for providing consistent, relevant and accurate data as well as guidance/knowledge of the data and definitions that are available for analysis.

Major Tasks, Responsibilities, and Key Accountabilities

• Serves as a resource to assigned client in area of expertise.
• Gathers and compiles raw data; conducts research for industry trends and benchmarks; and normalizes data to be incorporated into a centralized data format.
• Analyzes, reports, makes comparisons to industry/company benchmarks, determines trends, and prepares cost analyses.
• Defines data definitions and documents data limitations.
• Prepares spreadsheets for data analysis; prepare reports with charts and graphs, mailing lists, maps and ad hoc requests. May make presentations.
• Provides recommendations based on findings and analysis. Provides input on policies and procedures.
• Participates on department and interdepartmental projects. May serve as Team Lead. May train Analysts.
• Performs other duties as assigned.

Nature and Scope

• Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems. Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results.
• Independently performs assignments with instruction limited to the expected results. Determines and develops an approach to solutions. Receives technical guidance only on unusual or complex problems or issues.
• May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc. Contributes to employees' professional development but does not have hiring or firing authority.

Work Environment

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
• No travel required.

Education and Experience

• Typically requires BS/BA in a related discipline. Generally 5-8 years of experience in a related field OR MS/MA and generally 3-5 years of experience in a related field. Certification is required in some areas.

Preferred Qualifications

Preferred Qualifications

• Bachelor's degree in Analytics, Business, Mathematics, Data Science, or a related field.

• 4+ years of experience in analytics, business intelligence, reporting, data visualization, pricing analytics, or a related analytical function.

• Demonstrated experience designing, building, and maintaining Tableau dashboards, reports, and reporting environments; Tableau Cloud experience preferred.

• Experience designing and developing Power BI dashboards, reports, and visualizations.

• Experience working with Databricks, Snowflake, or other enterprise data warehouse and data platform environments.

• Strong SQL skills, including complex queries, data extraction, transformation, validation, and analysis of large datasets.

• Familiarity with Python and other tools used for automation, reporting efficiency, and advanced analytics.

• Experience implementing AI-enabled solutions, machine learning applications, intelligent automation, or other emerging analytics technologies.

• Demonstrated ability to create advanced visualizations, calculated fields, measures, formulas, and data models that translate business requirements into actionable insights.

• Experience developing automated reporting solutions and scalable analytics reporting suites.

• Strong problem-solving, critical-thinking, and root-cause analysis skills with the ability to identify issues and implement sustainable solutions.

• Experience ensuring data quality, validating data accuracy, and maintaining reporting integrity.

• Experience managing, optimizing, and leveraging databases and large datasets to support business decision-making.

• Demonstrated ability to partner cross-functionally with business stakeholders, gather requirements, provide user support and training, and communicate analytical findings to both technical and non-technical audiences.

• Pricing analytics experience strongly preferred.

• Experience supporting strategic business decisions through data-driven insights and recommendations.

• Experience in industrial distribution, wholesale distribution, retail, or other high-volume transactional environments preferred.

Salary Range: $71,800 - $115,700 annually. This range represents the anticipated base salary for this position at the time of posting. Individual compensation will vary based on experience, qualifications, skills, and geographic location. This position is also eligible for an annual incentive bonus and a comprehensive benefits package.

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