Power BI Developer / Data Analyst

Collabera
Rock Hill, United States of America
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 85K

Job location

Rock Hill, United States of America

Tech stack

Data analysis
Data Governance
Database Queries
Microsoft SQL Server
SQL Azure
Performance Tuning
Power BI
Delivery Pipeline
Powerquery
Star Schema
Microsoft Dynamics 365 Finance & Operations
Azure

Job description

o Develop and maintain Power BI dashboards and reports o Translate business requirements into KPIs and visualizations o Support reporting for manufacturing, inventory, cost, and operations o Ensure reports are scalable, user-friendly, and high-performing o Manage scope, risks, and change requests o Collaborate with stakeholders across business units, This is a direct hire opportunity. The selected candidate will be employed directly by our client. All compensation and benefits, including but not limited to medical insurance, retirement plans, paid time off, and other perks, will be provided by the client in accordance with their internal policies and subject to applicable laws and eligibility requirements.

Job Requirement o Power BI o BI o BI Developer o D365 o Dynamic 365 o DAX o Power query o ERP

Requirements

o Bachelor's in IS, Analytics, Finance, Engineering, or related (or equivalent experience) o 3+ years building Power BI solutions in enterprise environments o Strong Power BI experience (datasets, dashboards, deployment) o Strong data modeling (star schema, relationships, performance tuning) o Advanced DAX and Power Query (M) skills o Experience working with ERP data (inventory, production, sales, costing) o Ability to translate business needs into analytical solutions o Strong communication and attention to detail Plus: o Experience with D365 F&O data and reporting o Strong SQL skills (SQL Server, Azure SQL, Synapse) o Power BI Service admin and deployment pipelines experience o Knowledge of data governance and data quality practices o Experience with manufacturing analytics (throughput, WIP, scrap, yield, capacity)

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