Senior Software Engineer

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

Responsibilities:

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.

Qualifications:

Required

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.