Business Analyst II, Relay Product Excellence

We are looking for a curious detail-oriented Business Analyst II to join our this role you will turn complex operational data into clear insights define business requirements and help drive continuous improvement across compliance and verification workflows. Youll 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 Excellences 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.


- Bachelors 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

- Masters 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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