Business Intelligence Engineer

Stefanini Group•Dearborn, MI

22h•Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a Business Intelligence Engineer (Dearborn, MI). We are looking for candidate who are responsible for enabling intelligent business decisions by designing robust analytics solutions through a blend of business acumen, data and analytics proficiency and technical solution architecture; leveraging knowledge and expertise in multiple tools for data integration, data modeling, data analysis tools, advanced data visualization tools etc. The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

Requirements

Data Mining
Data Analysis
Data Warehousing
Data/Analytics dashboards
Data Model
Data Integrity
Visual Design
Analytical skills
Analyst
Artificial Intelligence & Expert Systems
3 to 5 years experience in relevant field
Design and build complex reports and dashboards using Power BI or Qlik Sense, ensuring they are performant, accurate, and meet stakeholder requirements.
Proficiently use SQL preferably Big Query, Python, or R for data analysis, cleaning, and optimization.
Create visual models (process flows, data flow diagrams) to explain complex concepts and define/calculate key business metrics accurately.
Use Terraform to provision and manage GCP resources, configure cloud data resources for cost-effective operation and implement data transformation pipelines using DataForm or Apache Airflow.
Lead effective meetings, workshops, and requirements-gathering sessions to understand business needs.
Implement robust data validation and error handling in scripts and pipelines.
Consistently deliver high-quality insights and comprehensive data validation.
Contribute to analytical work reviews (reviewing queries and dashboard designs) and provide constructive feedback to team members.
Produce clear documentation for analytical processes, data sources, and key definitions.
Create technical design documents for analytical solutions and data models.
Propose improvements to existing reports and processes with AI or other emerging technologies.
Design analytical solutions with scalability in mind to handle growing data volumes.

Nice To Haves

GCP
Big Query
Data/Analytics dashboards
SonarQube
Business Intelligence
Artificial Intelligence & Expert Systems

Responsibilities

Create strong business partnership for intelligent solutions through stakeholder interviews and solution designs
Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key business decisions.
Use advanced visualization tools like Qlik, Dash Enterprise, Tableau, PowerBI etc.
Conduct deep-dive analysis of business problems and data issues to formulate recommendations for business improvement and technical efficiency.
Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
Identify and implement avenues to optimize and enhance data analysis, interpretation and visualization tools, techniques and methodologies for functional analysts
Design and implement new metrics, techniques and strategies to improve business KPI, metrics unity and end-user adoption
Partner with Data Engineering, Data Science and Data Management teams to improve data completeness, usability, and performance