Data Analyst

S4tinc; Wixom (MI); Hybrid; USD 70,000 - 95,000; Full time

Job summary

S4 Technologies Inc. in Wixom, MI, is seeking a Data Analyst to apply theory and practice of data analysis, statistics, and computer science to real business challenges.

You will collect and interpret large datasets, develop reports and dashboards, and write SQL queries to support decision-making; collaboration with data engineers and developers is expected.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• Strong understanding of data analysis, statistics, and analytical techniques.
• Experience with SQL and database systems.
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Knowledge of Excel and data manipulation techniques.

Responsibilities

• Collect, analyze, and interpret large datasets to support business decision-making
• Apply statistical methods and data analysis techniques to identify trends, patterns, and insights
• Develop and maintain reports, dashboards, and data visualizations using analytical tools
• Write and optimize SQL queries to extract and manipulate data from relational databases
• Perform data cleansing, validation, and transformation to ensure data accuracy and integrity
• Work with stakeholders to understand business requirements and translate them into analytical solutions
• Conduct data modeling and exploratory data analysis (EDA)
• Generate actionable insights and present findings to management and business teams
• Collaborate with cross-functional teams including data engineers and software developers
• Maintain documentation related to data sources, processes, and analytical methodologies

Skills

Data analysis

Statistics

SQL

Python

R

Education

Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or related field

Tools

Tableau

Power BI

Excel

Job description

Position Summary

S4 Technologies Inc. is seeking a qualified Data Analyst to perform duties requiring the theoretical and practical application of specialized knowledge in data analysis, statistics, and computer science. This position qualifies as a specialty occupation and requires a minimum of a Bachelor’s degree or higher in Computer Science, Information Systems, Statistics, Mathematics, or a closely related field.

Detailed Job Duties

• Collect, analyze, and interpret large datasets to support business decision-making
• Apply statistical methods and data analysis techniques to identify trends, patterns, and insights
• Develop and maintain reports, dashboards, and data visualizations using analytical tools
• Write and optimize SQL queries to extract and manipulate data from relational databases
• Perform data cleansing, validation, and transformation to ensure data accuracy and integrity
• Work with stakeholders to understand business requirements and translate them into analytical solutions
• Conduct data modeling and exploratory data analysis (EDA)
• Generate actionable insights and present findings to management and business teams
• Collaborate with cross-functional teams including data engineers and software developers
• Maintain documentation related to data sources, processes, and analytical methodologies

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science, Information Systems, Statistics, Mathematics, or a related field (or foreign equivalent)
• Strong understanding of data analysis, statistics, and analytical techniques
• Experience with SQL and database systems
• Experience with data visualization tools (Tableau, Power BI, or similar)
• Knowledge of Excel and data manipulation techniques

Preferred Qualifications

• Experience with programming languages such as Python or R
• Familiarity with data warehousing concepts
• Experience with ETL processes and data pipelines
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Understanding of business intelligence (BI) tools

Work Location

• Primary work location: Wixom, MI
• Employee may be assigned to client locations or remote work based on business needs