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Data Analytics Engineer

Dale Workforce Solutions
Somerset, NJ Full Time
POSTED ON 11/26/2025 CLOSED ON 12/20/2025

What are the responsibilities and job description for the Data Analytics Engineer position at Dale Workforce Solutions?

Job Details

Position Overview

Our client is a publicly traded, globally recognized technology and manufacturing organization that relies on data-driven insights to support operational excellence, strategic decision-making, and digital transformation. They are seeking a Power BI Developer to design, develop, and maintain enterprise reporting solutions, data pipelines, and data warehousing assets.

This role works closely with internal stakeholders across departments to ensure reporting accuracy, data availability, and the long-term success of the company's business intelligence initiatives. The position also plays a key role in shaping BI strategy and fostering collaboration across cross-functional teams.

This role is on-site five days per week in Somerset, NJ.

Key Responsibilities

<>Power BI Reporting & Administration
  • Lead the design, development, and deployment of Power BI and SSRS reports, dashboards, and analytics assets
  • Collaborate with business stakeholders to gather requirements and translate needs into scalable technical solutions
  • Develop and maintain data models to ensure accuracy, consistency, and reliability
  • Serve as the Power BI tenant administrator, partnering with security teams to maintain data protection and regulatory compliance
  • Optimize Power BI solutions for performance, scalability, and ease of use
<>ETL & Data Warehousing
  • Design and maintain data warehouse structures, including schema and database layouts
  • Develop and support ETL processes to ensure timely and accurate data ingestion
  • Integrate data from multiple systems while ensuring quality, consistency, and completeness
  • Work closely with database administrators to optimize data warehouse performance
  • Troubleshoot data pipelines, ETL jobs, and warehouse-related issues as needed
<>Training & Documentation
  • Create and maintain technical documentation, including specifications, mappings, models, and architectural designs
  • Document data warehouse processes for reference, troubleshooting, and ongoing maintenance
  • Manage data definitions, lineage documentation, and data cataloging for all enterprise data models
<>Project Management
  • Oversee Power BI and reporting projects, offering technical guidance to the Business Intelligence team
  • Collaborate with key business stakeholders to ensure departmental reporting needs are met
  • Record meeting notes in Confluence and document project updates in Jira
<>Data Governance
  • Implement and enforce data governance policies to ensure data quality, compliance, and security
  • Monitor report usage metrics and follow up with end users as needed to optimize adoption and effectiveness
<>Routine IT Functions
  • Resolve Help Desk tickets related to reporting, dashboards, and BI tools
  • Support general software and hardware installations when needed
<>Other Responsibilities
  • Manage email and phone communication professionally and promptly
  • Respond to inquiries to resolve issues, provide information, or direct to appropriate personnel
  • Perform additional assigned duties as needed

Qualifications

<>Required
  • Minimum of 3 years of relevant experience
  • Bachelor's degree in Computer Science, Data Analytics, Machine Learning, or equivalent experience
  • Experience with cloud-based BI environments (Azure, AWS, etc.)
  • Strong understanding of data modeling, data visualization, and ETL tools (e.g., SSIS, Azure Synapse, Snowflake, Informatica)
  • Proficiency in SQL for data extraction, manipulation, and transformation
  • Strong knowledge of DAX
  • Familiarity with data warehouse technologies (e.g., Azure Blob Storage, Redshift, Snowflake)
  • Experience with Power Pivot, SSRS, Azure Synapse, or similar reporting tools
  • Strong analytical, problem-solving, and documentation skills
  • Excellent written and verbal communication abilities
  • High attention to detail and strong self-review practices
  • Effective time management and organizational skills; ability to prioritize workload
  • Professional, adaptable, team-oriented, and able to thrive in a dynamic environment
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary.com Estimation for Data Analytics Engineer in Somerset, NJ
$96,546 to $121,608
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