Data Analyst

Benda Infotech; Chicago (IL); On-site; USD 65,000 - 85,000; Full time

Job summary

Bank is seeking a Data Analyst to transform raw data into actionable insights, build reports and dashboards, and contribute to data quality, automation, and documentation across the organization. You will handle large datasets, support decision-making, and collaborate with cross-functional teams to ensure reliable reporting.

The ideal candidate has 1–2 years of hands-on experience in data analytics, proficiency in Python, SQL, Power BI, and advanced Excel, and strong communication skills to

Qualifications

• 1–2 years of hands-on experience in data analytics, reporting, 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 dashboards; Excel (Advanced) with formulas, pivots, and data modeling.
• Solid understanding of database concepts and data structures.
• Strong written and verbal communication skills, and ability to translate analytical results into business insights.
• Demonstrated ability to manage multiple priorities, meet deadlines, and work in a fast-paced environment.

Responsibilities

• Interpret and analyze structured data using industry best practices to support business and operational 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 reports
• Support the development and execution of data strategies that improve data quality, consistency, and usability
• Collaborate with business, technology, and risk partners to ensure accurate and reliable reporting
• Prepare and maintain technical documentation, data definitions, and process documentation

Skills

Python

SQL

Power BI

Excel (Advanced)

Data visualization

Data modeling

Communication skills

Job description

Role Summary

We are seeking a Data Analyst with strong analytical skills, attention to detail, and a problem‑solving mindset. This role will support business decision‑making by transforming raw data into actionable insights. The 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 Bank.

Key Responsibilities

• Interpret and analyze structured data using industry best practices to support business and operational 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 reports
• Support the development and execution of data strategies that improve data quality, consistency, and usability
• Collaborate with business, technology, and risk partners to ensure accurate and reliable reporting
• Prepare and maintain technical documentation, data definitions, and process documentation

Qualifications & Requirements

Minimum Qualifications

• 1–2 years of hands‑on experience in data analytics, reporting, 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

• Experience working in a banking or financial services environment, or in a highly regulated industry
• Familiarity with data governance, data quality controls, or regulatory reporting concepts
• Experience documenting data flows, business rules, and analytical methodologies
• Exposure to automation or process improvement initiatives related to reporting or analytics

Ability to collaborate effectively with both technical and non‑technical stakeholders