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# Senior Data Analyst / Data Engineer

- **Company:** Fiserv, Inc.
- **Location:** Berkeley Heights, NJ, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $186,000.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Profiling, Data Systems, Data Warehousing, Relational Databases, Data Intelligence, Python (Programming Language), Meta-Data Management, Performance Tuning, Power BI, Microsoft Copilot, DataOps, SQL Databases, Enterprise Data Management, Data Ingestion, Delivery Pipeline, Snowflake, Apache Spark, Microsoft Fabric, Data Lineage, Data Analytics, Data Management, Data Pipelines
- **Published:** October 21, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3472117784&tx=VT6358TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 6+ years of experience in data analytics, data engineering, business intelligence, or related fields.
 * 5+ years of experience developing enterprise reporting and analytics solutions using Power BI.
 * 3+ years of experience with Snowflake, including data modeling, performance optimization, and data engineering best practices.
 * 3+ years of experience with SQL and relational database technologies.
 * 3+ years of experience with dimensional data modeling, data warehousing concepts, and semantic model design.
 * Experience working in Agile development environments.

Experience that would be great to have:

 * 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 with the ability to present complex analytical findings to technical and non-technical audiences.

## Description

At Fiserv, we are dedicated to transforming financial services through data-driven innovation and technology. As a Senior Data Analyst / Data Engineer, you will play a critical role in designing, developing, and optimizing enterprise data solutions that support strategic decision-making across the organization. You will collaborate 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.

What you'll do:

 * 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 leveraging modern cloud-based data platforms.
 * Perform data profiling, cleansing, validation, and quality assurance activities to ensure data accuracy, consistency, and reliability.
 * Develop and maintain dimensional and analytical data models that support enterprise reporting and advanced analytics.
 * Leverage 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.