Business Analyst 3 - Relay Product Excellence
No salary listed
Senior
Bachelor's, Master's
Bengaluru, Karnataka, India
In Person
Data & AnalyticsData Analysis
About the job
Requirements
- At least 5 years of experience in a business analyst, data analyst, or similar role.
- Experience defining program requirements and using data and metrics to drive improvements.
- Experience influencing multiple stakeholders and leading cross-functional teams across geographies and business units.
- At least 5 years of experience driving end-to-end delivery and communicating results to senior leadership.
- Experience working proactively and independently, meeting deadlines, and delivering projects and tasks.
- Experience managing competing priorities and using metrics to drive business decisions.
- Experience with data processing needs and trade-offs.
- Experience with advanced analytics.
- A 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.
- At least 7 years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical/mathematical software such as R, SAS, or Matlab.
- At least 5 years of experience writing SQL queries and creating business intelligence reports using QuickSight, Power BI, or similar tools.
- Ability to assess risks, clear blockers with appropriate resources, and escalate when appropriate.
- Ability to quickly learn and gain proficiency in new technical tools and languages.
Responsibilities
- Extract, analyze, and interpret large-scale complex datasets using SQL, Python, R, Hadoop/Hive, Redshift, Oracle, or NoSQL databases.
- Design and develop automated data pipelines and sophisticated analytical models.
- Build and maintain self-service analytics platforms, including role-based dashboards, drill-downs, alerts, and performance definitions.
- Apply complex transformations within spreadsheets, SQL, or other tools to generate actionable recommendations.
- Validate data accuracy and data fidelity by partnering with data owners, production systems, and appropriate sources.
- Collaborate proactively with data owners to improve data quality and coverage.
- Perform root-cause analysis and create metrics-driven, actionable, sustainable solutions.
- Build and manage KPIs to measure, control, and benchmark reporting processes.
- Use quantitative analysis to understand business drivers beyond surface-level metrics.
- Identify key performance drivers, quantify their impact on critical metrics, and deliver actionable recommendations.
- Monitor internal and external metrics to stay informed on business performance.
- Generate recommendations that inform organizational business decisions and support long-term strategic goals.
- Implement analytics solutions in complex, ambiguous, or poorly designed problem spaces.
- Distinguish between one-way and two-way doors in decision-making processes.
- Identify complex problems or opportunities and design long-term solutions.
- Use data analysis and business understanding to solve complex problems that drive decisions and actions.
- Select technical tools according to problem requirements.
- Make informed short-term versus long-term trade-off decisions and balance effort with business value when determining build-versus-buy decisions.
- Lead analytical projects end-to-end, partnering with technical experts for advanced analytics when needed.
- Deliver work independently while seeking direction as needed and keeping the team informed.
- Assess risks, clear blockers with appropriate resources, and escalate when necessary.
- Make appropriate trade-offs and influence others to simplify their approaches.
- Maintain high-quality, accurate, error-free, well-documented work that answers business questions.
- Execute tactical and strategic work on programs that drive long-term decisions and actions.
- Own items on the organizational roadmap and influence strategy through delivered solutions.
- Partner with Product, Program, Engineering, and cross-functional teams to understand data requirements and design scalable, user-friendly business analyst solutions.
- Collaborate across business, operational, financial, product, and technical teams.
- Create and implement data-driven improvements that deliver flexible, efficient products for customers.
- Prepare and deliver business requirements reviews to senior management.
- Influence dependency teams regarding data platform direction and strategy to scale data communication.
- Provide analytics solution summaries with insights and recommendations to senior leaders.
- Present decisions to leaders up to three levels above.
- Write and present narratives, including 6-pagers, MBR/QBR/HBR/YBR, COEs, Mission, Tenets, and PR/FAQs, to leadership and cross-functional teams.
- Communicate across locales, roles, and functions, including Design, Product/Program, Engineering, Marketing, Finance, PR, Sales, and external partners.
- Seek diverse perspectives, listen to feedback, and adapt direction for better outcomes.
- Mentor junior analysts in analytical techniques and problem-solving methodologies.
- Recruit and develop others by mentoring and improving their skills, business knowledge, analytics solutions expertise, and execution capability.
- Serve as an analytical leader and expert in synthesizing business knowledge and data across diverse subject areas.
- Enable others and scale impact beyond individual contributions.
Desired Qualifications
- A master's degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics, or a related technical or quantitative field.
- At least 5 years of equivalent experience.
- Experience with scripting languages such as Python, Java, or R.
- Experience in machine learning, statistics, and deep learning.
- Experience with SQL and Python scripting.
- Experience working with stakeholders to plan and execute strategic programs.
- Experience escalating issues, anticipating and making trade-offs, balancing business needs against other constraints, and maximizing business benefit while building customer experiences.
- Experience in transportation and supply chain.
- A strong background in statistical methodology, applications to business problems, and/or big data.
- Experience designing and developing automated data pipelines and sophisticated analytical models.
- Experience with data management tools including Hadoop/Hive, Redshift, Oracle, and NoSQL databases.
- Expertise applying complex transformations within spreadsheets, SQL, or other tools to generate recommendations.
- Experience performing peer reviews for others within the organization.
- Demonstrated ability to distinguish between one-way and two-way doors in decision-making.
- Experience partnering with technical experts such as Business Intelligence Engineers and Data Scientists to apply advanced analytics.
- A track record of driving operational excellence through improving, streamlining, or eliminating excess process.
- Experience identifying process or methodology gaps and partnering across teams to drive them to closure.
- Wide multi-domain knowledge and expertise, with the ability to lead end-to-end delivery of simplified solutions.
- Considered an analytical leader on the team and expert in synthesizing business knowledge and data across a wide variety of subject areas.
- Knowledge of optimization techniques and their application to business problems.
About the company
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
Company Size
10,001+
Company Stage
IPO
Headquarters
Seattle, Washington
Founded
1994
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Simplify's Take
What believers are saying
- AI drives growth: AWS's AI and custom-chip sales each more than doubled, passing $25 billion a year by June 2026.
- Stock grants gained value: shares hit a record in August 2026, making Amazon the fifth company to reach $3 trillion.
- Ads are a third engine beside stores and AWS: they grew 26% to $19.8 billion in the June 2026 quarter.
What critics are saying
- AWS's lead is shrinking: in the June 2026 quarter, Google Cloud grew 82% and Microsoft's Azure 43%, versus AWS's 37%.
- Job security has slipped: Amazon cut 30,000 corporate jobs in October 2025 and January 2026 to reduce management layers.
- Expect five office days a week: Amazon ended its three-day hybrid policy for corporate staff in January 2025.
What makes Amazon unique
- Most of Amazon's profit comes from cloud: AWS made 21% of sales but 60% of operating profit in mid-2026.
- Amazon is America's biggest parcel carrier by volume: it handled 6.9 billion packages in 2025, more than the Postal Service.
- Writing matters more than slides: Amazon meetings open with silent reading of a six-page memo instead of PowerPoint.
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Benefits
- Flexible Work Hours
- Company Equity