Senior Data Analyst / Data Engineer

Fiserv

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Berkeley Heights, NJ
Salary
$110,000–$186,000 / yr
Posted
5 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $148k
$100k $200k
below market most similar roles pay here above market

This role pays less than 56% of similar roles. Most pay $126,800–$184,900 — the blue band above. At the midpoint, this role pays about $148k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Fiserv

Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments

Fiserv currently has 125 open roles on FindRole.

Listed pay typically runs $123,500–$198,000 across 89 roles with salary data.

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View all roles at Fiserv

At a glance

TL;DR · Senior Data Analyst / Data Engineer

The Senior Data Analyst / Data Engineer will join the team to design, develop, and optimize enterprise data solutions that support strategic decision-making. The role involves building scalable data pipelines, reporting solutions, and analytical datasets while enhancing Power BI semantic models and dashboards for executive stakeholders. Key responsibilities include developing Snowflake-based data solutions, implementing ETL/ELT processes, and performing data profiling and quality assurance. The candidate will leverage AI and machine learning capabilities, including generative AI, to improve business insights and reporting efficiency. Required technical skills include SQL, relational database technologies, dimensional data modeling, and data warehousing concepts. The position focuses on solving complex data integration and governance problems within the fintech and payments domain to drive operational excellence and provide robust analytics for the organization.

What you'll do

  • Design, develop, and maintain scalable data pipelines and analytical datasets to support business objectives.
  • Build and enhance Power BI semantic models, dashboards, and self-service analytics solutions.
  • Develop and optimize Snowflake-based data solutions for ingestion, transformation, and performance tuning.
  • Design and implement data integration and ETL/ELT processes using modern cloud-based platforms.
  • Perform data profiling, cleansing, validation, and quality assurance to ensure data accuracy.
  • Develop and maintain dimensional and analytical data models for enterprise reporting.
  • Leverage AI and machine learning capabilities to improve business insights and reporting efficiency.
  • Maintain documentation, data lineage, and governance standards for enterprise data management.

What we're looking for

  • You must possess valid and unrestricted U.S. work authorization.
  • 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 with Power BI administration, Python, Spark, or Microsoft Fabric (preferred).

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