Senior Business Systems Analyst

Solera

5d

About The Position

Solera is a global leader in data and software services, transforming the vehicle lifecycle into a connected digital experience. The Explore division focuses on providing clarity and focus around employee accountability. As a Senior Business Systems Analyst at Explore, you will serve as a strategic partner to Product, Engineering, and Business stakeholders. Your mission is to leverage deep analysis and data-driven insights to guide decisions and deliver high-quality solutions across the SuperVision platform.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• 5+ years of progressive experience as a Business Systems Analyst or Business Analyst supporting complex, data-driven systems.
• Strong expertise in requirements definition, analysis, documentation, system design, testing, and delivery support.
• Advanced working knowledge of relational databases with the ability to write, optimize, and interpret complex SQL queries.
• Demonstrated experience analyzing data to identify trends, validate business logic, and support decision-making.
• Proven ability to manage multiple initiatives in a fast-paced, evolving environment.
• Excellent verbal and written communication skills, with the ability to translate complex data into clear business insights.
• Strong analytical mindset with a focus on accuracy, quality, and continuous improvement.
• Commitment to Explore best practices and standards.

Responsibilities

• Lead requirements discovery, analysis, and documentation for complex, data-intensive business and technical initiatives.
• Own end-to-end functional and data requirements, ensuring alignment between business objectives, system capabilities, and underlying data models.
• Translate business needs into clear, actionable user stories, functional specifications, data definitions, and process flows.
• Evaluate upstream and downstream data impacts of proposed changes and identify risks, dependencies, and constraints early.
• Participate in and often lead external client and vendor discussions, including occasional on-site meetings.
• Apply Explore methodologies, tools, and systems to drive consistency, quality, and scalability.
• Perform in-depth data analysis to support product decisions, operational improvements, root cause investigations, and defect resolution.
• Analyze large and complex datasets to identify trends, anomalies, gaps, and opportunities across SuperVision products and integrations.
• Validate data accuracy, completeness, and integrity across source systems, APIs, and downstream reporting.
• Develop ad hoc analyses, reconciliation reports, and data validation artifacts to support releases, audits, and executive decision-making.
• Proactively surface insights and recommendations based on data findings, not just stated requirements.
• Develop and maintain user-facing documentation, including data definitions, reporting logic, and process guides.
• Support user adoption and data literacy through training, walkthroughs, and collaboration with help desk and support teams.
• Partner closely with QA to define test strategies, acceptance criteria, and data validation approaches for business-critical functionality.
• Design and execute test cases that validate calculations, aggregations, transformations, and reporting outputs.
• Confirm post-release data quality and stability through targeted validation and monitoring.
• Support Product Management with delivery planning, dependency management, and status reporting.
• Contribute to the design of new products and enhancements, including defining analytical use cases and success metrics.
• Perform advanced querying and analysis using SQL Server Management Studio to investigate system behavior, validate fixes, and support new features.
• Use Excel and other analytical tools to perform data modeling, reconciliation, and exploratory analysis.
• Lead initiatives to automate and optimize reporting, data validation, and operational support processes.
• Mentor and guide junior and mid-level analysts on analytical techniques, data interpretation, and best practices.
• Champion Explore standards for data quality, documentation, and analytical rigor.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees