Entry Level Operations Data Analyst
Benda Infotech
1 day ago
Full-time
On-site
Chicago
Role Summary
We are seeking an Entry Level Operations Data Analyst with strong analytical skills, attention to detail, and a problem-solving mindset. This role will support business operations and decision-making by transforming raw data into actionable insights. The Operations Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the organization.
Key Responsibilities
Interpret and analyze structured data using industry best practices to support operational and business needs
Identify trends, patterns, and anomalies in complex data sets and clearly communicate findings to stakeholders
Extract, cleanse, validate, and transform data from primary and secondary data sources
Design, develop, and maintain business intelligence dashboards and recurring operational reports
Support the development and execution of data strategies that improve data quality, consistency, and usability
Collaborate with operations, technology, and business teams to ensure accurate and reliable reporting
Prepare and maintain technical documentation, data definitions, and process documentation
Assist in identifying opportunities for process improvements and operational efficiencies through data analysis
Qualifications & Requirements
Minimum Qualifications
0–2 years of hands-on experience in data analytics, reporting, operations support, or data automation
Experience preparing, blending, and analyzing data from multiple sources
Proficiency in:
Python, including data analysis libraries
SQL for querying relational databases
Power BI for dashboard development and data visualization
Microsoft Excel (Advanced), including formulas, pivot tables, and data modeling
Solid understanding of database concepts and data structures
Strong written and verbal communication skills, with the ability to translate analytical results into clear business insights
Demonstrated ability to manage multiple priorities, meet deadlines, and work effectively in a fast-paced environment
Preferred Qualifications
Internship, academic project, or professional experience in operations analytics, banking, financial services, or a highly regulated industry
Familiarity with data governance, data quality controls, or reporting concepts
Experience documenting workflows, business rules, and analytical methodologies
Exposure to automation or process improvement initiatives related to operations or analytics
Ability to collaborate effectively with both technical and non-technical stakeholders
We are seeking an Entry Level Operations Data Analyst with strong analytical skills, attention to detail, and a problem-solving mindset. This role will support business operations and decision-making by transforming raw data into actionable insights. The Operations Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the organization.
Key Responsibilities
Interpret and analyze structured data using industry best practices to support operational and business needs
Identify trends, patterns, and anomalies in complex data sets and clearly communicate findings to stakeholders
Extract, cleanse, validate, and transform data from primary and secondary data sources
Design, develop, and maintain business intelligence dashboards and recurring operational reports
Support the development and execution of data strategies that improve data quality, consistency, and usability
Collaborate with operations, technology, and business teams to ensure accurate and reliable reporting
Prepare and maintain technical documentation, data definitions, and process documentation
Assist in identifying opportunities for process improvements and operational efficiencies through data analysis
Qualifications & Requirements
Minimum Qualifications
0–2 years of hands-on experience in data analytics, reporting, operations support, or data automation
Experience preparing, blending, and analyzing data from multiple sources
Proficiency in:
Python, including data analysis libraries
SQL for querying relational databases
Power BI for dashboard development and data visualization
Microsoft Excel (Advanced), including formulas, pivot tables, and data modeling
Solid understanding of database concepts and data structures
Strong written and verbal communication skills, with the ability to translate analytical results into clear business insights
Demonstrated ability to manage multiple priorities, meet deadlines, and work effectively in a fast-paced environment
Preferred Qualifications
Internship, academic project, or professional experience in operations analytics, banking, financial services, or a highly regulated industry
Familiarity with data governance, data quality controls, or reporting concepts
Experience documenting workflows, business rules, and analytical methodologies
Exposure to automation or process improvement initiatives related to operations or analytics
Ability to collaborate effectively with both technical and non-technical stakeholders