Business Analyst II, Relay Product Excellence

We are looking for a curious, detail-oriented Business Analyst II to join our team. In this role, you will turn complex operational data into clear insights, define business requirements, and help drive continuous improvement across compliance and verification workflows. You'll collaborate with stakeholders across operations and product to identify gaps, measure performance, and support automation and process improvement initiatives.

Key job responsibilities
1. Data Analysis & Technical Execution
- Extract, analyze, and interpret large datasets using SQL, Python, Hadoop/Hive, Redshift, Oracle, or NoSQL databases
- Perform diagnostic analysis, root cause analysis, variance analysis, and pattern identification
- Apply data transformations and statistical techniques to generate actionable insights

- Design and maintain automated reporting systems and dashboards

- Validate data quality, flag upstream issues, and maintain data integrity

- Build and implement KPIs with summarized visuals to track metrics globally

2. Problem Solving & Decision Support

- Solve ambiguous business problems with limited guidance using analytical approaches

- Distinguish between one-way and two-way doors in decision-making processes

- Conduct comprehensive analysis to support business cases, product pilots, and strategic initiatives

- Provide diagnostic insights and recommendations that drive measurable business impact

- Navigate uncertainty and propose solutions when problems have less well-defined parameters

3. Stakeholder Communication & Management

- Tailor communication to audience needs, presenting to leaders up to three levels above

- Translate complex analytical findings into clear formats for all stakeholder levels

- Facilitate productive dialogue, negotiate priorities, and establish shared understanding

- Proactively communicate project status, risks, and roadblocks to reset expectations

- Create plans, communicate requirements, and clarify success criteria

4. Project Delivery & Execution

- Scope, drive, and deliver complex projects across multiple teams with minimal supervision

- Manage timelines effectively and proactively identify risks to deliverables

- Deliver consistently high-quality, well-documented work that answers business questions

- Incorporate best practices and set quality checks in all analytical work

- Balance tradeoffs between time, quality, and resources

5. Cross-Functional Collaboration

- Partner with Product, Tech, Operations, and other stakeholders

- Act as bridge between different teams to deliver optimized solutions

- Collaborate with data engineering teams to automate processes and ensure data quality

- Prepare and deliver business requirements reviews to senior management

- Establish and maintain effective working relationships across teams

6. Process Improvement & Strategic Contribution

- Identify and optimize business processes and data methodologies to improve efficiency

- Determine when solutions should be repeatable versus one-time and implement accordingly

- Build flexible, scalable solutions that anticipate business changes

- Contribute to team business strategy using deep business expertise

- Own items on team-level roadmap and begin to influence broader strategy

7. Team Development & Leadership

- Mentor and develop junior analysts

- Participate in recruiting and interviewing for the team

- Share knowledge and optimize analytical best practices across the team

- Build trust through consistent delivery and proven business impact

About the team
Relay Product Excellence's mission is to monitor Transaction Integrity for products supporting Identity Verification, Account Support, and Compliance across Carrier and Driver processes. Our team works at the intersection of risk management, regulatory compliance, and data-driven operations — partnering with product and technology teams to ensure the integrity and reliability of processes at scale.

Basic qualifications

- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- 3+ years of business analyst, data analyst or similar role experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience communicating results to senior leadership, or experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
- 3+ years analyzing and interpreting data using SQL, Redshift, Oracle, NoSQL, Hadoop/Hive, or similar technologies
- Strong programming skills in Python and SQL with ability to handle large datasets
- Ability to deliver high-quality work with limited guidance

Preferred qualifications

- Master's degree in computer science, machine learning, engineering, or related fields
- Experience owning/driving roadmap strategy and definition
- Experience prioritizing competing demands, scoping large efforts, and negotiating timelines
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience in requirement gathering and ability to write clear and detailed requirement document
- 3+ years relevant work experience in related fields beyond basic requirements
- Technical expertise in Data Science, ML, and Statistics
- Experience with data mining, and statistical algorithms
- Proven track record driving cross-functional projects to completion with minimal supervision
- Demonstrated ability to distinguish between one-way and two-way doors in decision-making

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