Sr. Business Analyst, Operations

ID Logistics US•White Haven, PA

About The Position

ID Logistics is a dynamic, entrepreneurial logistics company globally headquartered in France with our US headquarters in Johns Creek, GA. In the US, we're experiencing multiple years of double-digit growth and significant customer expansion. We are a people-focused/ customer-centric organization that understands we need to take care of our employees so we can fulfill our mission of serving our customers. Powered by People. Driven by Purpose. Winning by Performance. The Senior Business Analyst, Operations will focus on conducting in-depth analysis of business performance, identify trends, and generate actionable insights for both ID Logistics and customer leadership teams. This role is primarily data driven and analytics-oriented, requiring the ability to synthesize complex data, and developing findings, and present them in clear, impactful reports that guide strategic decision-making. The ideal candidate will be a subject matter expert in Power BI and Excel with experience creating dashboards.

Requirements

HS Diploma or GED equivalent.
3-5 years of experience in a business analysis, data analysis or a similar analytical role.
Expertise in Microsoft Excel for data analysis.
Experience creating dashboards and delivering data.
Expert experience with data visualization tools such as Power BI and Tableau.
Strong ability to interpret and present complex data trends and statistical findings.
Expertise in identifying key metrics and performance drivers.
Proven ability to address complex questions and synthesize findings into clear, actionable insights.
Exceptional organizational skills to manage multiple business analyst projects and priorities.
Excellent verbal and written communication skills, with the ability to clearly present findings and recommendations to both technical and non-technical audiences.
Ability to work independently in a fast-paced environment with competing priorities.
Flexibility with work schedule and hours when required.

Nice To Haves

Bachelor’s degree with a focus on business, economics, statistics, or a related field preferred.
Work experience in an E-Commerce or 3PL environment a plus.
Operations experience in a warehouse environment with KPIs and SLAs a plus.

Responsibilities

Data Operations and Analysis: Lead extensive efforts, analyzing large data sets to identify emerging trends, patterns, and insights.
Conduct thorough analyses of business performance across different sectors, providing data-driven recommendations to enhance operations.
Operations Reporting and Visualization: Develop reports, dashboards, and visualizations to effectively communicate findings, leveraging tools such as Power BI, Tableau, and Excel.
Ensure all outputs are aligned with business objectives and presented clearly to both internal teams and customers.
Customer and Leadership Collaboration: Collaborate with senior leadership teams (from Managers to General Managers) to define key operations questions, deliver insights, and tailor reports to customer needs.
Serve as a trusted advisor on findings, advising leadership on potential improvements based on data analysis.
Custom Operations Analysis Requests: Manage and respond to ad-hoc requests from both internal teams and customers, ensuring thorough analysis and timely delivery of findings.
Trend and KPI Monitoring: Monitor key business and financial performance indicators, tracking trends over time and providing insights into potential areas for improvement or optimization.
Perform regular analyses of contractual KPIs and SLAs, and advise on any challenges or opportunities identified through evaluation.
Continuous Improvement of Practices: Work with IT and Internal Systems teams to explore automated data collection and reporting capabilities, ensuring data is accurate and efficient.
Maintain a focus on innovation, identifying new tools or methodologies that could enhance data collection or analysis processes.
Strategic Data Analysis Support: Assist senior leadership teams in strategic decision-making by forecasting future trends, risks, and opportunities.
Provide actionable insights into budgetary forecasts, financial performance, and operational efficiencies.