Senior Data Analyst / Data Engineer

Fiserv • Berkeley Heights, NJ

1d • $110,000 - $186,000

About The Position

At Fiserv, the Senior Data Analyst / Data Engineer designs, develops, and optimizes enterprise data solutions that support strategic decision-making. The role collaborates with business stakeholders, analytics teams, and technology partners to deliver scalable reporting, data engineering, and AI-enabled solutions that drive operational excellence and business value.

Requirements

• At least 6 years of experience in data analytics, data engineering, business intelligence, or related fields.
• At least 5 years of experience developing enterprise reporting and analytics solutions using Power BI.
• At least 3 years of experience with Snowflake, including data modeling, performance optimization, and data engineering best practices.
• At least 3 years of experience with SQL and relational database technologies.
• At least 3 years of experience with dimensional data modeling, data warehousing concepts, and semantic model design.
• Experience working in Agile development environments.
• Valid and unrestricted U.S. work authorization; candidates requiring current or future sponsorship, including holders of the listed temporary visas, will not be considered.

Nice To Haves

• Experience with Power BI administration, deployment pipelines, and governance frameworks.
• Experience with Python, Spark, or other data engineering and analytics technologies.
• Experience implementing data governance, metadata management, and data lineage solutions.
• Familiarity with Microsoft Fabric, Copilot, AI-powered analytics, and emerging data technologies.
• Strong communication and stakeholder management skills, including the ability to present complex analytical findings to technical and non-technical audiences.

Responsibilities

• Design, develop, and maintain scalable data pipelines, reporting solutions, and analytical datasets to support business objectives.
• Build and enhance Power BI semantic models, dashboards, and self-service analytics solutions for executive and operational stakeholders.
• Develop and optimize Snowflake-based data solutions, including data ingestion, transformation, and performance tuning.
• Partner with business and technology teams to gather requirements and translate them into robust data models and reporting solutions.
• Design and implement data integration and ETL/ELT processes using modern cloud-based data platforms.
• Perform data profiling, cleansing, validation, and quality assurance to ensure data accuracy, consistency, and reliability.
• Develop and maintain dimensional and analytical data models that support enterprise reporting and advanced analytics.
• Use AI and machine learning capabilities, including generative AI solutions, to improve business insights, reporting efficiency, and decision-making.
• Identify opportunities for process automation and operational efficiency through data engineering and analytics best practices.
• Maintain documentation, data lineage, and governance standards to support enterprise data management initiatives.
• Mentor team members and provide technical guidance on data architecture, modeling, reporting, and analytics best practices.

Benefits

• Annual incentive opportunity for incentive-eligible associates, potentially delivered as a mix of cash bonus and equity awards at the Company's discretion.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed