Senior Software Engineer - Data Analytics

A financial services firm is looking for a Senior Software Engineer - Data Analytics to join their team in Jersey City, NJ.
Compensation: $140-150K base

• Design, develop, and maintain Cognos & Power BI reports and dashboards to provide actionable insights for business stakeholders.
• Work closely with data engineers and analysts to design and implement effective data models that support business reporting and analytics requirements.
• Integrate solutions with other systems and data sources to create seamless and automated reporting processes.
• Collaborate with cross-functional teams, including data scientists, business analysts, and Software Engineers, to gather requirements and ensure alignment with business goals.
• Conduct thorough testing of Cognos/Power BI solutions to ensure accuracy, reliability, and adherence to business requirements.
• Create and maintain technical documentation, including data models, report specifications, and user guides.
• Provide training and support to end-users, helping them understand and maximize the value of Cognos/Power BI analytics.

• A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Experience as a Senior Software Engineer with a focus on Data Analytics and UKG Cognos Reporting and various data integration across systems.
• Familiarity with HCM and/or Compliance applications:
  • Good to have understanding of HCM and/or compliance applications and business domain.
• Database and Data Integration:
  • Strong foundation in SQL for querying and managing databases.
  • Understanding of data warehousing concepts, including star and snowflake schemas.
• Report Optimization:
  • Skills in optimizing Cognos reports for performance.
  • Proficiency in using Performance Analyzer and other tools to diagnose and address performance issues.
• Data Governance and Security:
  • Experience in implementing row-level security to manage user access to data based on role or other criteria.
  • Understanding of the best practices for setting up RLS to ensure data security and compliance.
• Solid programming skills in languages such as SQL, Python, or similar.
• Experience with data integration and ETL processes.
• Strong understanding of database systems, data warehousing, and data visualization best practices.
• Excellent problem-solving and analytical skills.
• Effective communication skills and the ability to work collaboratively in a team environment.

Preferred:

• Cognos certification.
• Experience with other data visualization tools and platforms.
• Familiarity with cloud platforms such as Azure or AWS.
• Strong experience in the Financial Services domain.
• Experience in the Client Services and Sales Enablement space (B2B) is preferred.