Sr Manager of Operations Business Analysis

OnTrac is hiring a Sr Manager, Operations Business Analysis!

Are you eager to join a dynamic and expanding company where you can learn and make a meaningful impact? If you possess a strong sense of empathy, enjoy assisting others, thrive in a fast-paced environment, and excel at problem-solving, we encourage you to apply today to connect with a recruiter! 

Founded in 1986, OnTrac has evolved into the leading provider of same-day and next-day delivery services in the U.S. for premier e-commerce and product-supply businesses, including five of the largest retailers in the U.S. 

Summary:

We are seeking a seasoned Senior Manager, Quality Data and Systems with the potential for millions of dollars in direct impact to the Ontrac business. You will be instrumental in building the backbone of our operational quality, creating precise metrics and reporting for our 100 field locations. This role is a true builder's paradise: you will lead the operations organization through changing data sources and business intelligence tools while creating new metrics and embarking on meaningful analyses.

Your success will be measured by significantly improving the trustworthiness and quality of all operational reporting, automating away tedious manual work for our analysts, and ushering our entire Operations organization into an AI/ML future. You will empower your team to deliver high-value, insightful analysis that drives problem-solving and identifies new areas for value creation. This unique position offers direct exposure and influence, requiring you to communicate natively with everyone from front-line operators to the executive team, translating complex data into clear, actionable insights. If you have the grit to build, the vision to innovate with AI, and the desire to make a tangible, multi-million-dollar difference, this role is for you.

Responsibilities:

· Metric & Reporting Standardization: Standardize and build comprehensive metrics and reporting for the operations organization, primarily focused on improving operational quality (e.g., mis-sorts, delivered-not-received, on-time delivery, root cause analysis of quality failures, bottleneck reporting, and customer satisfaction.)

· Data Trustworthiness & Quality: Own the trustworthiness and quality of all reporting utilized by the operations team.

· Automation & New Reporting Structures: Lead initiatives to automate manual reporting tasks and develop new, efficient reporting structures, empowering analysts to focus on value-added activities.

· Analytical Value Creation: Guide the team in creating new reports and analyses to identify areas for improvement, problem-solve operational challenges, and uncover opportunities for value creation.

· Data Science Roadmap Management: Manage your team's roadmap and represent the operations organization to the data science and data engineering team. Own prioritization and speed to market with visibility and clarity.

· Stakeholder Communication: Maintain transparent communication regarding backlog, timelines, and deliverables for all data and reporting projects.

· AI Future Advocacy: Design and drive the roadmap for integrating AI tools into reporting and analysis processes, automating analyses, and enhancing information aggregation.

· Team Leadership: Lead, mentor, and develop a team of data analysts (two to start), fostering their growth and ensuring their ability to deliver high-quality, impactful work.

· Cross-Functional Collaboration: Work closely with the Process Quality team, Operations Field Operations team, Engineering Design, Network Design, and the Data Science team, which sits in the tech organization.

Competencies:

We are looking for someone who enjoys working with a team, is a creative problem solver, and can work at a fast pace.

· Leadership & Team Development: Experience leading a team of individual contributors and developing future leaders for shared success. Acts as a player/coach and moves between leading and doing with agility.

· Communication & Presentation Skills: Exceptional ability to communicate complex data architecture and insights clearly and natively to diverse audiences, from non-technical operators to highly technical software engineers to executives, without expecting uniform expertise from the audience. Uses communication to facilitate speed and clarity.

· Project Management: Ability to manage their team's workload without support, and to influence the priorities of their stakeholders; through a thoughtful ticketing & roadmap system, while handling small requests with ease.

· Experience in measuring quality: Has Experience in using engineering or analysis tools, including PFMEA, lean manufacturing and control charts, but is not confined by their rigidity.

· Stakeholder Collaboration: Builds strong relationships and collaborates effectively with internal teams across operations, quality, and technology to achieve data and system objectives.

· Problem-Solving & Critical Thinking: Possesses strong analytical skills to identify root causes of issues, anticipate challenges, and develop innovative solutions using data.

Minimum Requirements:

· Bachelor’s Degree in Data Science, Statistics, Business Analytics, Operations Research, Supply Chain Engineering, Quality Engineering, or a related field. · 5-7 years of progressive experience in business intelligence, data analysis, or a related field, with a focus on creating robust reporting in BI systems.

· Must have experience leading direct reports.

· Proficient in SQL & DBT with hands-on experience working with complex data tables and structures; Python is a plus.

· Experience using AI, including tooling creation & LLM for coding assistance

· Proven experience creating easy-to-understand reporting for stakeholders using Power BI, Tableau, or Looker.

· Extremely proficient in Excel.

· Relevant industry experience in high-volume logistics, manufacturing, or e-commerce (depending on company size and data complexity).

· This position is fully remote with some travel required.

· Strong Plus: Relevant certifications in data analysis, business intelligence, or data warehousing.

· It is the responsibility of every position to understand and adhere to the security guidelines outlined in OnTrac’s Acceptable Use policy and to conduct their activities accordingly.

This is not necessarily an exhaustive list of responsibilities, skills, duties and working conditions associated with the job. It is intended to be an accurate reflection of the current job, however, management may revise job and tasks based on business needs including emergencies, staffing needs and workload.

LaserShip, Inc. dba OnTrac Final Mile with its affiliates, including OnTrac Logistics, Inc. (collectively, “OnTrac” or the “Company”) is an equal opportunity employer.