Agile Tech Labs

Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Documentation #Data Analysis #Data Architecture #Business Analysis #Microsoft Power BI #Data Engineering #Stories #Data Quality #Semantic Models #SQL (Structured Query Language) #UAT (User Acceptance Testing) #"ETL (Extract #Transform #Load)" #Data Lake #Data Lakehouse #Agile #Data Mapping #BI (Business Intelligence)
Role description
Name: Business Analyst Location: Remote Job Type: Contract Key Responsibilities • Work directly with Supply Chain, Manufacturing, Operations, Finance, and business stakeholders to gather and clarify requirements. • Understand and document KPI definitions, business rules, calculation logic, filters, dimensions, and reporting expectations. • Support requirements for SCM KPIs such as inventory, delivery, working capital, cost, people, order fill, vendor OTD, lead time, freight cost, PPV, and related operational measures. • Partner with data engineers and BI engineers to translate business requirements into data mapping, transformation, semantic model, and reporting specifications. • Help identify source system data gaps, quality issues, harmonization needs, and manual data requirements. • Coordinate with customer SMEs and data stewards for validation of business rules, KPI definitions, and UAT sign-off. • Review Power BI reports and dashboards to ensure alignment with business requirements and usability expectations. • Facilitate requirement workshops, walkthroughs, validation sessions, and issue-resolution discussions. • Maintain requirement traceability from business need to source data, transformation logic, semantic model, report output, and UAT acceptance. • Support change management by documenting new, changed, or deferred requirements clearly. Required Skills and Experience • 6+ years of experience as a Business Analyst, Technical Business Analyst, Data Analyst, or Functional Analyst. • Strong domain understanding of Manufacturing, Supply Chain, Inventory, Procurement, Sales Order Operations, and operational reporting. • Experience working with ERP data, preferably across multiple ERP/source systems. • Strong understanding of data mapping, source-to-target requirements, business rules, data quality validation, and reporting logic. • Experience with BI/reporting projects, preferably involving Power BI, semantic models, or enterprise data platforms. • Ability to work with business users to define KPIs and translate them into measurable reporting requirements. • Strong communication skills with the ability to bridge business and technical teams. • Experience supporting UAT, report validation, and stakeholder sign-off. • Ability to manage ambiguity and drive clarity in complex, multi-stakeholder environments. Preferred Skills • Experience with Microsoft Fabric, data lakehouse concepts, or Bronze/Silver/Gold data architecture. • Prior experience in manufacturing analytics or supply chain transformation programs. • Familiarity with KPIs such as Healthy Inventory Ratio, Days of Supply, Aged Inventory, Cycle Count Accuracy, DPO, Order Fill, Vendor OTD, Lead Time, Freight % of Sales, Tariff Cost, PPV, Cost Savings, Headcount, and Attrition. • Experience working with global manufacturing sites or multi-site operational reporting. • Basic SQL understanding to support data validation and requirement analysis. • Experience working in Agile/Sprint-based delivery models. Expected Deliverables • Business requirement documents/user stories. • KPI definition documents. • Source-to-target mapping support and validation notes. • Business rule and transformation requirement documentation. • Report wireframes or layout inputs. • UAT scenarios, validation criteria, and sign-off support. • Issue/risk logs related to requirements, data gaps, and stakeholder dependencies.