Entry level Data Analyst
Jobs via Dice, Detroit, MI, United States
Job Title: Entry level Data Analyst
Note:
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary
We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies. Key Responsibilities
Build and optimize data pipelines and ETL workflows for efficient data processing and integration. Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends. Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools. Implement predictive forecasting and analytical models to support strategic decision-making. Automate data workflows and reporting processes to improve operational efficiency. Ensure data quality, accuracy, and integrity through validation and monitoring frameworks. Perform root cause analysis on performance and operational issues using data insights. Work with cross-functional teams to gather requirements and translate data into actionable insights. Maintain documentation of data processes, models, and reporting systems. Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy. Required Qualification
Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience working with databases and large datasets. Ability to interpret complex data and present insights clearly to stakeholders. Strong problem-solving and analytical thinking skills.
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Note:
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary
We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies. Key Responsibilities
Build and optimize data pipelines and ETL workflows for efficient data processing and integration. Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends. Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools. Implement predictive forecasting and analytical models to support strategic decision-making. Automate data workflows and reporting processes to improve operational efficiency. Ensure data quality, accuracy, and integrity through validation and monitoring frameworks. Perform root cause analysis on performance and operational issues using data insights. Work with cross-functional teams to gather requirements and translate data into actionable insights. Maintain documentation of data processes, models, and reporting systems. Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy. Required Qualification
Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience working with databases and large datasets. Ability to interpret complex data and present insights clearly to stakeholders. Strong problem-solving and analytical thinking skills.
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