Commercial Finance Analytics & Capabilities Manager

Becoming a McLane teammate is to become part of an honest, stable, and reliable company with more than 125 years of success. We are looking for teammates with perseverance who will take the extra step for our customers, our community, and the company. In return, we will pay you well and offer you the opportunity to go as far in your career as you want to go.

The Commercial Finance Analytics & Capabilities Manager drives financial insights and support strategic decision-making. Manage complex data analysis, develop financial models, and create visualizations to summarize data for leadership.

This position will require the candidate to report and work from the office five days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

Benefits you can count on:

• Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
• Paid time off begins day one.
• 401(k) Profit Sharing Plan after 90 days.
• Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

Essential Job Functions/Principal Accountabilities:

• Reporting & Analytics: Develop and present comprehensive financial reporting packages for leadership, including variance analysis, key performance indicators (KPIs), and ad-hoc financial models by conducting statistical analysis, including regression and correlation, to identify trends that enhance McLane's ability to forecast complex financial models and provide actionable insights that can be presented to leadership.
• Tools: Utilize Python and PySpark, SQL, Alteryx, Oracle EPM, Power BI, Microsoft Fabric, Lakehouse Automation and future tools and processes to create and maintain dashboards and visualizations that apply prescriptive and predictive analytics to drive strategic decision-making.
• Customer Profitability Modelling and other Tools: Continuously identify and implement improvements to financial processes and reporting, enhancing efficiency, accuracy, and decision support in establishing and tracking KPIs to measure the effectiveness and efficiency of customer performance processes.
• Collaborate with cross-functional teams to support commercial finance initiatives.
• Stakeholder Communication: Effectively communicate financial performance, trends, and risks to leadership and other stakeholders, ensuring clarity and transparency in financial analysis matters.
• Team Leadership: Provide guidance and mentorship to direct reports and other team members, fostering a collaborative and high-performance environment.
• Perform other duties as required.

Minimum Skills & Qualifications:

• Advanced degree in economics, statistics, finance or a related field.
• Three or more years of experience in analytics, with a focus on commercial finance.
• Proven experience in building visualizations and dashboards.
• Expertise in scenario planning, what-if analysis, and automation.
• Experience with model development, validation, and accuracy tracking using metrics and back testing to assess forecast performance in financial services.
• Proficiency in Python, PySpark, SQL, Oracle, Power BI, Alteryx and DAX queries, Microsoft Fabric, Familiarity with Lakehouse architecture and managing data within One Lake.
• Ability to use Dataflows and Notebooks for data transformation and advanced analytics.
• Knowledge of data governance and compliance standards.
• Specialty in analytical modeling, statistical, and machine learning techniques including sampling, hypothesis testing, optimization, and decision trees.
• Strong knowledge of handling large data sets and creating data stories.
• Expertise in statistics, regression, correlation, forecasting, and time series analysis.
• Understanding of prescriptive and predictive analytics.
• Project Management.
• Excellent communication skills and ability to present data insights to leadership.

Preferred Skills:

• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Detail-oriented with a focus on accuracy and data integrity.
• Ability to manage multiple projects and meet deadlines.
• Team Focused.

Working Conditions:

• Office environment.

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.