Role Summary (Purpose of Job)
This role is responsible for developing, implementing, and maintaining reporting, dashboards, and advanced analytics supporting the Revenue Operations function. The position focuses on enabling data-driven decision-making across funnel management, forecasting, pipeline performance, and revenue insights.
The analyst will partner closely with revenue operations, sales leadership, and cross-functional stakeholders to deliver actionable insights through data visualization, ad hoc analysis, and scalable reporting solutions. This role will also support the creation of self-service analytics tools and standardized reporting frameworks to improve visibility into revenue performance and trends.
Key Responsibilities
- Develop and deliver dashboards and reporting using tools such as Power BI, Tableau, SQL, Snowflake, and Databricks to support revenue operationsneeds, including funnel monitoring, pipeline health, and forecasting visibility.
- Perform ad hoc analysis to answer business questions related to revenue trends, sales performance, and operational efficiency, translating findings into clear, actionable outputs.
- Support forecasting processes by providingreporting, trend analysis, and insights that help monitor performance and improve forecast visibility.
- Deliver data storytelling and insights to Revenue Operations leadership through clear visualizations and executive-ready reporting.
- Build and maintain funnel and pipeline analytics, including stage conversion, velocity analysis, and performance tracking across segments and teams.
- Supportthe development and ongoing tracking of sales performance metrics and KPIs, including pipeline coverage, conversion rates, win rates, sales cycle length, and revenue attainment.
- Deliverconsistent, standardized reporting to help monitor sales performance against established KPIs, highlighting trends, risks, and opportunities.
- Workwith Revenue Operations and Sales leadership to support KPI reporting needs and ensure metrics are accurately reflected in dashboards and recurring reporting.
- Partner cross-functionally with Sales, Finance, and Data teams to support data needs, improve data quality, and enableaccurate and reliable reporting.
- Maintainand enhance reporting solutions by applying best practices to improve usability, accessibility, and scalability of dashboards and analytics.
- Support Salesforce (SFDC) and related systems analytics, ensuring data isstructured and available for reliable reporting and insights generation.
- Perform additional responsibilities and analytical projects as needed to support ongoing Revenue Operations reporting and analytics priorities.
Minimum Requirement
Degree or equivalent and typically requires 7+ years of relevant experience.
Education
- Bachelor’s degree in Business, Analytics, Computer Science, or related field
- MBA or advanced degree preferred
Critical Skills
- 7+ years of experience in analytics, business intelligence, or data analysis roles supporting sales or revenue functions
- Experience working with large, complex datasets and transforming data into actionable insights
- Advanced SQL skills (T-SQL preferred)
- Experience with Snowflake and Databricks (preferred)
- Strong experience with Power BI and/or Tableau, including dashboard design and data visualization best practices
- Experience with Salesforce.com (SFDC) data and reporting
- Strong understanding of revenue operations concepts (pipeline, funnel, forecasting, ARR, bookings, etc.)
- Familiarity with data modeling and ETL processes
Additional Skills
- Ability to perform advanced analytical techniques (trend analysis, cohort analysis, segmentation)
- Strong problem-solving and critical thinking skills
- Excellent communication skills with the ability to present insights to executive stakeholders
- High attention to detail and strong organizational skills
- Ability to manage multiple priorities in a fast-paced environment
- Experience supporting forecasting and quota planning processes
- Proven ability to apply analytics to drive business outcomes and influence decision-making
- Experience with Python or advanced analytics techniques preferred
- Knowledge of healthcare or distribution industry a plus
This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please
Our Base Pay Range for this position
$114,200 - $190,400
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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