

Acro Service Corp
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Warren, MI, on a 1-year contract with a pay rate of "unknown." Proficiency in SQL is required, along with experience in Python, PowerBI or Tableau, and Azure Databricks preferred. A Bachelor's degree and 2-4 years of experience are necessary.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 30, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Warren, MI
-
🧠 - Skills detailed
#Computer Science #Python #Data Analysis #Data Manipulation #Databases #Databricks #Database Management #"ETL (Extract #Transform #Load)" #Scripting #Azure Databricks #Azure #SQL (Structured Query Language) #Storage #Tableau
Role description
Data Analyst
Location: Warren, MI
1 year contract to potential permanent role
Must be proficient in SQL. Working knowledge of Python and PowerBI or Tableau preferred. Experience with Azure Databricks preferred. Technical troubleshooting background preferred.
Summary:
The main function of a Data Analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
Job Responsibilities:
• Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
• Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
• Design, implement, automate and maintain large scale enterprise data ETL processes
• Modify existing databases and database management systems and/or direct programmers and analysts to make changes
• Test programs or databases, correct errors and make necessary modifications
Qualifications:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 2-4 years applicable experience required
• Experience with database technologies
• Knowledge of the ETL process
• Knowledge of at least one scripting language
• Strong written and oral communication skills
• Strong troubleshooting and problem solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions
Data Analyst
Location: Warren, MI
1 year contract to potential permanent role
Must be proficient in SQL. Working knowledge of Python and PowerBI or Tableau preferred. Experience with Azure Databricks preferred. Technical troubleshooting background preferred.
Summary:
The main function of a Data Analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
Job Responsibilities:
• Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
• Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
• Design, implement, automate and maintain large scale enterprise data ETL processes
• Modify existing databases and database management systems and/or direct programmers and analysts to make changes
• Test programs or databases, correct errors and make necessary modifications
Qualifications:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 2-4 years applicable experience required
• Experience with database technologies
• Knowledge of the ETL process
• Knowledge of at least one scripting language
• Strong written and oral communication skills
• Strong troubleshooting and problem solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions






