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Added 15 mins ago
IL
Sr Business Analyst
ID Logistics
Remote, United States
- $92,000 to $120,000 USD / year
Added 17 mins ago
Sr MS Engineer
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Strong scripting skills in Bash and Python; working knowledge of PowerShell for AWS and Windows tasks.
Added 18 mins ago
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Knowledge and understanding of Hadoop tech stack like HDFS, Hive, HQL, Spark, Scala, Pyspark/python, Sqoop.
Added 25 mins ago
Sr. Process Engineer, R1 Body AI/ML
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Added 27 mins ago
UG
Sr. AI/ML Engineer - Remote
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- $120,100 to $214,500 USD / year
3+ years of proficiency with Python and core AI/ML and data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SciPy)
Added 28 mins ago
O
Senior Network Developer
Oracle
Seattle, WA · Nashville, TN · Santa Clara, CA · Redwood City, CA · Reston, VA
- $91,400 to $187,000 USD / year
Sr. Network Developer, Infrastructure Scaling
Added 48 mins ago
Sr. Lead Software Engineer
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Columbus, OH · Wilmington, DE
Experience with Java, Python, and React (or comparable technologies), including the ability to review code, assess implementation approaches, and support engineering teams in delivering…
Added 54 mins ago
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Hybrid Sr. Data Scientist (AI/ML)
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
Senior Staff AI Enablement Engineer
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Strong integration and automation skills. That means REST/GraphQL APIs, scripting (Python, TypeScript, or similar), iPaaS (Workato or similar), and ServiceNow workflows.
Added 2 hours ago
Cloud Engineer - Active TS/SCI with CI POLY
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Reston, VA
Experience with automation and configuration management (Python, Bash, PowerShell).
Added 2 hours ago
Senior DevSecOps Engineer - Active TS/SCI with CI Poly
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Strong experience with scripting languages (e.g., Python, Bash), in a Linux environment (RHEL, Oracle Linux, or similar)
Added 2 hours ago
Sr. DevSecOps Engineer - Active TS/SCI with CI Poly
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Strong experience with scripting languages (e.g., Python, Bash), in a Linux environment (RHEL, Oracle Linux, or similar)
Added 4 hours ago
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Sr. Model Governance Manager
Jobgether
Remote, United States
- $160,000 to $200,000 USD / year
Working knowledge of Python and/or Java, SQL, databases, and common data formats such as CSV and JSON.
Added 4 hours ago
Sr. Identity Engineer, Google Cloud and DevOps
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Scripting proficiency in Python and PowerShell; Bash experience is an advantage.
Added 4 hours ago
Software Engineer, Cloud Platforms
NVIDIA Corporation
North District, IL
NVIDIA is looking for an excellent Software Developer to work on open-source cloud platforms such as Kubernetes. We are seeking an engineer who is deeply technical, hands-on, and has a wide…
Added 4 hours ago
Sr. Security Engineer
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Automate security processes using Python, APIs, and workflow automation tools.
Added 7 hours ago
Sr. Full-Stack Developer with Agentic AI (Clearance Required)
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Remote, United States
…and next steps. Our partner is looking for a Sr. Full-Stack Developer with Agentic AI (Clearance Required) based in the United…
Added 8 hours ago
Sr. Platform Engineering Lead – multiple positions open
Bayer Research & Development Services LLC
Chesterfield, MO
Added 8 hours ago
Sr. Forward Deployed Engineer (FDE)
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Arlington, VA
Experience with Python, TypeScript, or Java in cloud-based data platforms
Added 12 hours ago
Sr. Full Stack Engineer, Fight Software
SpaceX
Hawthorne, CA
Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language
Added 13 hours ago
Sr. Full Stack Software Engineer, Manufacturing Systems
SpaceX
Bastrop, TX
Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language
Added 13 hours ago
Sr. Full Stack Software Engineer
SpaceX
Bastrop, TX
Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language
Added 13 hours ago
Sr. Principal Data Scientist – Machine Learning and Predictive Analytics
Northrop Grumman
San Diego

ID Logistics

Sr Business Analyst

Remote, United States

Remote

$92,000 to $120,000 USD / year

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Job details

Pay: $92,000 to $120,000 USD / year
Workplace: Remote
Posting language: English

Original job description

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.

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.

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