1

Manager Data Analyst Machine Learning Jobs in Michigan

Machine Learning Engineer

Dearborn, MI · On-site

$105.50K - $126.60K/yr

... cloud data warehouses such as Google BigQuery, Amazon Redshift, or Azure Synapse Analytics ... Experience with project management tools such as Jira. * Strong understanding of Google Cloud ...

... analytics, predictive modeling, and machine learning to drive smarter marketing and business ... As Manager of Data Science, you will lead a team of data scientists and analysts in delivering ...

... analytics, predictive modeling, and machine learning to drive smarter marketing and business ... As Manager of Data Science, you will lead a team of data scientists and analysts in delivering ...

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... advanced analytics, machine learning, and real-time data processing initiatives. The ideal ... Excellent time management and organizational skills to handle multiple priorities and meet ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Collaborate with cross-functional stakeholders including product managers, data engineers, and ... Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ...

next page

Showing results 1-20

Manager Data Analyst Machine Learning information

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What cities in Michigan are hiring for Manager Data Analyst Machine Learning jobs? Cities in Michigan with the most Manager Data Analyst Machine Learning job openings:
Programmer Analyst 6 #155665 Lansing, MI

Programmer Analyst 6 #155665 Lansing, MI

SmartIPlace

Lansing, MI • On-site

$55 - $60/hr

Contractor

Posted 5 days ago


Job description

Job Summary

We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division.

This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP BusinessObjects, Crystal

Reports, and BI Query. In addition, the position will involve designing and optimizing cloud-native data and AI platforms leveraging Amazon Web Services (AWS) to

support advanced analytics, machine learning, and real-time data processing initiatives.

The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.

 

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and actionable insights for business stakeholders.

• Design, develop, and maintain interactive dashboards and reports using Power BI, SAP BusinessObjects, and Crystal Reports.

• Develop and optimize SQL queries and scripts for data extraction and transformation.

• Create and optimize queries in Hummingbird BI Query to support business intelligence and data analysis requirements.

• Architect and implement end-to-end data pipelines using AWS services such

as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker.

• Design, build, and optimize scalable cloud-native data and AI

platforms leveraging AWS to support advanced analytics and machine learning initiatives.

• Develop robust ETL/ELT workflows, ensuring data quality, governance, security, and compliance across distributed systems.

• Collaborate with business units to gather requirements and translate them into technical specifications for reporting and data solutions.

• Partner with cross-functional teams, including data architects, business analysts, and application developers, to ensure alignment of reporting and data solutions with organizational goals.

• Ensure data accuracy, integrity, and compliance with MDHHS standards and policies.

• Provide technical expertise in reporting tools and assist in troubleshooting and performance tuning of dashboards and reports.

• Document processes, data flows, and reporting standards for ongoing maintenance and knowledge sharing.

 

Required Qualifications

? Bachelor’s degree in computer science, Information Systems or related field.

? 3+ years of experience in report development and data analysis within large-scale environments.

? 3+ years of experience in AI Data engineering with AWS platforms.

? 3+ years of experience in python, PySpark and Advanced Data Structures.

? 3+ years of experience in Teradata Data Warehouse and ETL utilities.

? Experience in AWS cloud and AI platform.

? Proficiency in SQL, Hummingbird BI/Query, Business Objects, and Power BI.

? Strong experience with dashboard development and data visualization best practices.

? Solid understanding of relational databases and data warehouse concepts, preferably Teradata.

? Excellent analytical, problem-solving, and communication skills.

 

Preferred Qualifications

• Experience with Medicaid or healthcare-related reporting.

• Familiarity with performance optimization techniques for BI tools.

• Experience in cloud data platforms (AWS, Azure, GCP) and integration with Teradata.

• Ability to design and implement modern data architectures supporting advanced analytics and machine learning.

• Familiarity with BI/reporting tools.

• Exposure to Agile / DevOps methodologies.

• Knowledge of data governance and compliance standards.

 

Soft Skills

• Strong interpersonal skills with the ability to collaborate effectively across teams

and communicate technical concepts to non-technical stakeholders.

• Excellent time management and organizational skills to handle multiple priorities and meet deadlines.

• Adaptability and flexibility to work in a dynamic environment with evolving business needs.

• Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.

• Proactive problem-solving approach and willingness to take initiative in improving processes and solutions.

• Ability to foster a positive team environment and contribute to shared goals.


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media