Boston Scientific-posted 3 months ago
$103,700 - $197,000/Yr
Full-time • Mid Level
Hybrid • Santa Clarita, CA
Computer and Electronic Product Manufacturing

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. We are looking for a dynamic and proactive individual to join our team as a Revenue Enablement Analyst within our Neuromodulation division. In this role, you will play a crucial part in driving revenue by creating data and reporting capabilities and driving continuous process improvement by harmonizing business processes and data flows across systems and cross-functional teams. This is an excellent opportunity for someone who thrives in a fast-paced environment and is eager to make a significant impact on the business. This is a hybrid role based in Valencia, CA (highly preferred), but we will also consider candidates in MN or MA locations.

  • Maintain and deliver a comprehensive data product roadmap that outlines the vision, goals, and strategic direction for data management and analytics products.
  • Collaborate with stakeholders to identify and understand business needs for data, translate them into use cases, and prioritize a plan based on strategic goals and value.
  • Help streamline data flows to create a single source of truth for data.
  • Lead the community of data experts within the division and enforce data governance policies to ensure data quality.
  • Harness existing reporting and visualization tools to craft intuitive analytical reports and insights for field personnel and leadership.
  • Leverage digital tools and platforms to automate and streamline processes.
  • Identify and implement process improvements to create efficiencies for both field sales and commercial back-office functions.
  • Exhibit outstanding project management capabilities, ensuring projects are delivered on time and within scope.
  • Display a sense of urgency in responding to requests by providing timely, accurate, and efficient support for our team and stakeholders.
  • Bachelor's degree in business, finance, marketing, data analytics, or a related field.
  • 5 years of experience in revenue operations, sales operations, sales enablement, commercial IT, or a related function.
  • Minimum of 3 years of experience as a data analyst or in a similar role, with experience in data tools such as SQL, Python, VBA, SAS, Tableau Prep, Alteryx, cloud environments (AWS, Snowflake), and modern data architecture principles.
  • 2+ years of experience with analytical visualization tools such as Tableau, QlikView, or others.
  • Expert-level experience with back-office applications, including Excel and MS Access.
  • Strong understanding of enterprise platforms (SAP, Anaplan, Model N, Conga) and CRM capabilities (SFDC).
  • Excellent interpersonal skills and strong written and verbal communication skills to work with individuals at all levels of the organization.
  • Proven track record of managing the lifecycle of complex data-driven products or solutions.
  • Demonstrated ability to translate business needs into scalable data solutions.
  • Deep understanding of industry trends, market needs, and the competitive landscape in data and analytics.
  • Experience building a product roadmap, prioritizing features, and driving alignment across cross-functional teams while influencing without authority.
  • Ability to own and manage projects end-to-end.
  • Desire to work in a fast-paced, collaborative, cross-functional environment.
  • Ability to travel up to 20% domestically.
  • Commercial back-office experience in the medical device or life sciences industry.
  • Knowledge of Boston Scientific commercial systems and processes.
  • Prior experience implementing data-driven AI or generative AI use cases and other commercial digital platforms.
  • Experience applying statistical modeling and predictive analytics to solve business problems.
  • Proven expert-level analytical and problem-solving experience.
  • Prior experience in process mapping and documentation.
  • Proven experience influencing change.
  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • life_insurance
  • disability_insurance
  • paid_holidays
  • paid_volunteer_time
  • tuition_reimbursement
  • professional_development
  • employee_stock_purchase_plan
  • flexible_scheduling
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