Sr. Data Analyst

Job Description

Job Description

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform complex operational data into actionable business insights. This position plays a critical role in supporting warehouse operations, transportation, inventory management, and executive decision-making through advanced analytics and reporting.

The ideal candidate is highly analytical, thrives in a fast-moving environment, and can adapt quickly as business priorities evolve. This is an excellent opportunity for a data professional who enjoys solving complex problems, partnering with cross-functional leaders, and driving continuous improvement through data-driven decision-making.

Key Responsibilities

• Develop, maintain, and optimize interactive dashboards and reports using Power BI to provide visibility into key operational and financial metrics.
• Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases.
• Analyze distribution, inventory, logistics, fulfillment, transportation, and customer service data to identify trends, risks, and improvement opportunities.
• Partner with leadership and business stakeholders to understand reporting needs and deliver actionable insights that support strategic objectives.
• Build and maintain data models, KPIs, scorecards, and forecasting tools to measure operational performance.
• Investigate data discrepancies and collaborate with IT and business teams to improve data integrity and reporting accuracy.
• Identify process improvement opportunities and recommend solutions that increase efficiency, reduce costs, and enhance operational performance.
• Present findings and recommendations to both technical and non-technical audiences.
• Support ad hoc reporting requests and special projects in a dynamic, high-growth environment.
• Mentor junior analysts and help establish analytics best practices across the organization.

Qualifications

• Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field.
• 5+ years of progressive experience in data analysis, business intelligence, reporting, or a related analytics role.
• Advanced proficiency with SQL, including complex queries, joins, stored procedures, and data manipulation.
• Strong experience developing dashboards, visualizations, and reporting solutions in Power BI.
• Experience analyzing large datasets and translating findings into actionable business recommendations.
• Strong understanding of data modeling, data validation, and reporting best practices.
• Excellent communication and presentation skills with the ability to influence decision-makers.
• Proven ability to manage multiple priorities and adapt quickly in an ever-changing business environment.
• Experience within distribution, logistics, supply chain, warehousing, manufacturing, or transportation industries is strongly preferred.

Preferred Qualifications

• Experience working with ERP, WMS, TMS, or other operational systems.
• Knowledge of data warehousing concepts and ETL processes.
• Exposure to predictive analytics, forecasting, or statistical analysis.
• Experience leading analytics projects and collaborating across multiple departments.

Pay Details: $85,000.00 to $110,000.00 per year

Search managed by: Zachary Sanders

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to -privacy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.