Rochester Electronics L

Compensation

Full Description

Rochester Electronics is immediately hiring for a Senior Revenue Operations Analyst!  At Rochester Electronics, we create an excellent employee experience focused on value, performance, motivation, recognition, and career growth. Many companies say their employees are their most important asset. At Rochester Electronics, we mean it!  * Outstanding low-cost medical, dental, vision, and prescription drug coverage, Rochester pays 92% of the premiums on behalf of its full-time employees * Paid time off, including vacation, sick, and holiday * Generous match 401K program * Tuition reimbursement * Flexible spending account And so much more! For the last 40 years, Rochester Electronics, in partnership with over 70 leading semiconductor manufacturers, has provided our valued customers with a continuous source of critical semiconductors. As an original manufacturer stocking distributor, Rochester has over 15 billion devices in stock encompassing more than 200,000-part numbers, providing the world’s most extensive range of end-of-life (EOL) and broadest range of active semiconductors. As a licensed semiconductor manufacturer, Rochester has manufactured over 20,000 device types. With over 12 billion die in stock, Rochester can manufacture over 70,000 device types. General Summary Provides actionable insights to business leaders to improve revenue outcomes. Using data science, statistics, analytical skills, and financial acumen, this role monitors trends, revenue streams, and identifies revenue enhancement opportunities to improve the company’s financial performance. Works closely with their manager to identify new opportunities and aggressively seeks out and eliminates revenue leaks.   Responsibilities * Extracts, cleans, and analyzes data from Salesforce CRM, Revenue Intelligence, and CPQ tools to support revenue-driving initiatives. * Analyzes historical data, market trends, and industry benchmarks to develop and maintain accurate sales forecasts to assist in refining sales processes with data-driven insights. * Supports the development and use of Key Performance Indicators (KPIs) to help identify areas for improvement, set targets, and monitor business health. * Applies advanced segmentation, clustering, and regression techniques, to report on revenue generating streams.   * Designs, builds, and deploys advanced analytical frameworks and robust statistical and machine learning models using tools such as Python, R, and SQL, to identify: 1. revenue forecasts and opportunities 2. sales performance trends 3. potential risks and pipeline health 4. customer and supplier behavior predictions * Generates automated exception reporting to identify areas of revenue opportunity, quantify the opportunities, and prioritize by magnitude. * Conducts A/B testing and quantitative analysis to evaluate the impact of pricing strategies, sales motions, and process changes. * Develop and enhance dashboards in Tableau, CRMA, and Salesforce, ensuring consistent metric reviews, statistical integrity and executive usability. * Collaborate with Salesforce administrators and Business Applications team to ensure data hygiene, architecture, and access are aligned with analytical needs. * Supports exploratory data projects and conducts ad hoc analyses in collaboration with Global Sales, Marketing, Supplier Development & Ops. Qualifications * Bachelor’s degree or equivalent required; preferably in Statistics, Marketing Analytics, Operations Research, Business Analytics, or Information Engineering * 2+ years’ previous experience in an analytical or data management capacity.   A Master’s degree in the relevant subject matter may be accepted in lieu of professional experience. * Strong problem-solving/analytical skills * Proficiency in using Excel for data analysis, including functions, pivot tables, and macros. * Proficiency using advanced SQL, Tableau, Power BI, or Qlik for conducting in-depth data analysis and creating data visualizations. * Familiarity with business intelligence (BI) tools such as Looker and Domo. * Ideally proficient in: 1. Statistics and probability 2. Data mining through Python and R 3. Cloud resources such as S3, Athena, Lambda, Glue ETL and Databricks 4. Visualizing data via R, Python * Familiarity with CRM Analytics and Revenue Intelligence preferred. * Comfortable communication across departments and time zones in a global organization. * Strong project management skills to prioritize tasks, manage timelines, and ensure that initiatives are completed on time and within budget.   Rochester Electronics is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, veteran status, or other characteristics protected by applicable law. Rochester Electronics is committed to a culturally diverse workforce.