Senior Data Analyst - Benefits and Compensation

Mauser Packaging Solutions

About The Position

Reporting directly to the Director of Total Rewards, we are seeking a highly disciplined and detail-oriented Senior Data Analyst to manage complex, large-scale datasets supporting our Benefits operations. This role requires advanced Excel expertise, a strong focus on data integrity and accuracy, and the ability to navigate incomplete or messy data environments while building robust, scalable processes. This is an ideal role for someone who thrives in structured problem-solving, demonstrates intellectual curiosity, and is motivated to deeply understand systems, data flows, and benefits administration—even without prior direct experience. This role is ideal for someone who enjoys working behind the scenes to build strong data foundations, values accuracy over speed, and wants to grow expertise in benefits administration and cross-system data management.

Requirements

Bachelor’s Degree in Finance, Engineering or other analytical programs
5 years experience in analytical data-focused role
Advanced Excel skills (e.g., nested formulas, data validation, pivot tables, macros/Power Query strongly preferred).
Demonstrated experience managing large datasets with a high degree of accuracy.
Strong attention to detail and commitment to data integrity.
Experience working with incomplete, inconsistent, or “dirty” data.
Structured, process-oriented mindset with strong organizational discipline.
Ability to work independently and drive clarity in ambiguous situations.

Nice To Haves

Exposure to HRIS systems and data integrations.
Experience building data validation frameworks and audit controls.
Familiarity with benefits administration (or strong willingness to learn quickly).

Responsibilities

Manage and maintain large, complex datasets across multiple systems with a focus on completeness, accuracy, and redundancy.
Build and maintain structured files and processes designed for scalability and repeatability.
Develop and implement built-in data validation checks to ensure data accuracy and consistency.
Identify, troubleshoot, and resolve data discrepancies across systems and platforms.
Work effectively with imperfect or “unclean” data, creating logic and controls to improve reliability.
Support integrations and data flow between HRIS and other external platforms.
Ensure smooth communication and reconciliation between systems with differing structures and data quality levels.
Utilize advanced Excel capabilities (e.g., complex formulas, pivot tables, Power Query, data modeling) to analyze and transform data.
Generate reports and insights as needed to support decision-making.
Develop a strong understanding of benefits administration (no prior experience required).
Ask thoughtful, probing questions to fully understand data, systems, and processes.
Continuously seek opportunities to improve data quality, processes, and system integration.