Senior Business Intelligence Analyst

McKesson•Irving, TX

5d•$114,200 - $190,400•Hybrid

About The Position

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.

Requirements

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor’s degree in Business, Analytics, Computer Science, or related field
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)
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

Nice To Haves

MBA or advanced degree preferred
Experience with Snowflake and Databricks (preferred)
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

Responsibilities

Develop and deliver dashboards and reporting using tools such as Power BI, Tableau, SQL, Snowflake, and Databricks to support revenue operations needs, 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 providing reporting, 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.
Support the development and ongoing tracking of sales performance metrics and KPIs, including pipeline coverage, conversion rates, win rates, sales cycle length, and revenue attainment.
Deliver consistent, standardized reporting to help monitor sales performance against established KPIs, highlighting trends, risks, and opportunities.
Work with 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 enable accurate and reliable reporting.
Maintain and 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 is structured 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.