Entry Level Operations Data Analyst

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.

• →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

• 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

• 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