As the Senior Business Analyst, you will build the reports, Power BI dashboards,
and analyses that help improve performance across complex warehouse and
eCommerce operations. Partnering with Operations, Continuous Improvement,
Finance, IT, and Data Engineering, you will transform operational data into
reliable visibility and actionable recommendations that improve productivity,
labor efficiency, capacity utilization, service, and overall operational
performance.
Work Location: Remote
Work Schedule: First Shift: Monday–Friday, with flexibility based on business
and operational needs.
Work Travel: Periodic domestic site travel depending on the needs of the
business and subject to change.
Competitive Compensation: Attractive annual salary of $92,000-$120,000,
performance-based bonus, and comprehensive benefits including medical, dental,
and vision insurance, 401(k) with company match, generous PTO, sick time, and
company holidays. Compensation is based on experience, skills, and education.
This position is not eligible for immigration sponsorship.
KEY RESPONSIBILITIES
Own Power BI reports and dashboards from requirements gathering and data
preparation through modeling, visualization, testing, deployment, and ongoing
support.
Build reusable reporting solutions that provide site-level visibility while
supporting consistent reporting across assigned operations.
Develop DAX measures, Power Query transformations, and efficient semantic
models while managing report refresh, access, navigation, drill-down
capabilities, and performance within established IT standards.
Analyze operational performance across volume, inbound and outbound activity,
labor hours, productivity, overtime, staffing coverage, backlog, quality,
capacity, and service levels.
Investigate performance drivers and identify root causes by distinguishing
true operational changes from data issues, activity-mix changes, or reporting
inconsistencies.
Develop analyses of labor requirements, capacity constraints, productivity
opportunities, and operational improvements, including quantifying potential
benefits and trade-offs.
Partner with Operations and Finance to recommend actions and validate results
following implementation.
Write and optimize SQL to combine, transform, and validate approved data from
warehouse, labor, timekeeping, and other relevant systems.
Build reporting-ready datasets and coordinate upstream data requirements with
IT and Data Engineering.
Establish and document consistent KPI definitions, source lineage,
calculation logic, and reporting cutoffs.
Reconcile reporting to source systems and identify and resolve duplicate
records, missing data, inconsistent mappings, and discrepancies in volume or
labor-hour definitions before information is published.
Automate recurring reporting by replacing avoidable manual data extraction,
spreadsheet manipulation, and report distribution with repeatable and
maintainable workflows.
Implement refresh monitoring, validation checks, and exception handling to
help users quickly identify stale, incomplete, or inaccurate information.
Maintain reporting documentation, testing, and change controls while
continuously improving reports based on user feedback and business value.
Support reliable daily, weekly, and monthly operational reviews and retire
redundant or low-value reporting when appropriate.
Translate questions from site and regional leaders into clear analytical
requirements and prioritized reporting or analysis plans.
Develop a strong understanding of warehouse processes and validate analytical
interpretations with the teams performing and managing the work.
Communicate findings, recommendations, risks, and limitations in clear
language that both technical and non-technical audiences can understand and
use.
Train report users, support internal and customer-facing business reviews as
needed, and partner with Finance and IT to promote consistent metrics and
avoid duplicate reporting solutions.
#LI-SALARY
Qualifications
MINIMUM REQUIREMENTS
Bachelor’s degree in Business Analytics, Information Systems, Supply Chain,
Industrial Engineering, Computer Science, or a related field, or equivalent
relevant experience.
4+ years of experience in business intelligence, operations analytics, or a
related analytical role, including substantial hands-on development of
reporting solutions used by business stakeholders.
Direct experience supporting 3PL, forward logistics, warehouse, distribution,
or fulfillment operations.
Strong understanding of how material flow, labor deployment, activity mix,
productivity, capacity, and service requirements impact operational
performance.
Demonstrated ability to build production-quality reporting solutions from
scratch using Power BI Desktop and Power BI Service.
Advanced experience with DAX, Power Query/M, semantic modeling, publishing,
scheduled refresh, row-level security, and Power BI performance
troubleshooting.
Strong SQL skills, including experience with multi-table joins, common table
expressions (CTEs), window functions, aggregations, and query
troubleshooting.
Strong understanding of data grain, relational keys, fact and dimension
models, filter behavior, and methods for preventing double-counting or
misleading KPI calculations.
Ability to frame business questions, validate assumptions, investigate root
causes, and translate analytical findings into practical business
recommendations.
Strong communication skills with the ability to explain technical findings
and complex data to non-technical operational leaders and business partners.
Ability to work independently, manage competing priorities, self-review
deliverables, and follow through on data or reporting issues.
Strong attention to accuracy and the ability to responsibly handle company,
customer, and employee information in accordance with established access and
security requirements.
Strong Microsoft Excel skills for data validation, analysis, and ad hoc
reporting.
PREFERRED QUALIFICATIONS
Experience supporting high-volume eCommerce, fulfillment, distribution, or
multi-site logistics operations.
Experience with Snowflake or comparable cloud-based data platforms.
Experience working with Warehouse Management Systems (WMS), Labor Management
Systems (LMS), timekeeping systems, or other warehouse and operational
technologies.
Experience with Power Automate, Python, or similar tools used to automate
reporting and analytical processes.
Experience with labor planning, productivity improvement, process mapping,
root-cause analysis, or continuous improvement initiatives.
Experience developing analytics and reporting for large-scale, complex
fulfillment operations.
Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification.