MIS Analyst, Merchant Services

Remote, Arizona

MIS Analyst, Merchant Services 

Location:   Remote USA

Contract Duration:  5 months

Contract Type:   W2 through Staffing Supplier

Pay Rate:   $42 - $46/hr

 

We are seeking a skilled MIS Analyst to join our team and drive data-driven decision-making by managing and analyzing key business metrics. The ideal candidate will have expertise in SQL, Sigma, and Mode, with a strong ability to extract, transform, and visualize data for actionable insights. This role requires a mix of technical proficiency, problem-solving abilities, and business acumen to support various teams with reporting, automation, and data analysis. 

 

Key Responsibilities: 

  • Develop, maintain, and optimize SQL queries to extract and analyze data from multiple sources. 
  • Build and manage dashboards and reports in Sigma and Mode to provide real-time insights for business stakeholders. 
  • Work closely with cross-functional teams to understand data needs and ensure accurate reporting. 
  • Automate and streamline data workflows, ensuring efficiency and scalability. 
  • Monitor data accuracy, troubleshoot issues, and ensure data integrity across platforms. 
  • Support ad hoc data analysis requests and provide insights to drive strategic decisions. 
  • Identify opportunities for process improvements and implement data-driven solutions. 

 

Qualifications & Skills: 

  • Proficiency in SQL for data extraction, transformation, and performance optimization. 
  • Experience using Sigma and Mode for data visualization and reporting. 
  • Strong analytical and problem-solving skills to interpret complex datasets. 
  • Ability to work with large datasets and ensure data accuracy and consistency.
  • Experience in data automation and process optimization. 
  • Excellent communication skills to translate data insights into actionable recommendations. 

 

Preferred Qualifications and Experience

  • Experience in business reporting, MIS, or data analytics roles. 
  • Familiarity with ETL processes and data pipeline management. 
  • Knowledge of scripting languages like Python for data manipulation (a plus). 
  • Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) is a plus Understanding of business intelligence (BI) and data governance best practices.