Business Analyst-Data Insights, Translation Services Operations

Amazon is hiring a Business Analyst-Data Insights, Translation Services Operations in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Uses AI ●●○○ is how Level rates this business analyst role: an ordinary role that requires AI tools.
Tools and skills the posting cites include SQL, Tableau and Python.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Own end-to-end analytical reporting and leverage AI/ML to optimize data insights generation for Translation Services Operations.

sqltableaupython

business-analyticsdashboardingmetrics-developmentdata-analysis

Are you passionate about transforming operational processes through data-driven insights? Are you motivated to have a direct impact on customers around the world? Do you have a business analytics background and love for continuous improvement and finding creative solutions to challenging problems? Amazon's Translation Services team is responsible for providing translation tools and solutions to support the localization and translation needs of all Amazon businesses. At Translation Services Operations, we partner with other internal Amazonian teams to translate and deliver content for users of Amazon's tools and services around the world. We obsess over finding the optimal balance between quality, speed, and cost for customers we serve.
We are looking for an experienced Business Analyst to own end-to-end analytical work for our centralized metrics and reporting function — from understanding complex data dependencies to delivering actionable insights that drive business decisions. You will own problems from start to finish: partnering with business teams to understand their needs, building the reports and tools that surface meaningful patterns, and explaining the "why" behind the numbers. You will build dashboards, create new metrics, develop analytical frameworks, and leverage existing data sources to keep stakeholders informed and empowered. You will be comfortable working in an international, dynamic environment, where change is present as we constantly grow, improve, and innovate.

Key job responsibilities
- Own and develop key operational metrics end-to-end — from understanding data sources and dependencies, to designing metric logic, building reporting solutions, and delivering insights that drive action
- Partner hands-on with business teams (Operations, Quality, Business Development, Customer Success) to understand their data needs, translate them into structured analytical approaches, and deliver reporting that enables informed decision-making
- Design, build, and maintain dashboards and reporting solutions that provide a single source of truth for organizational performance
- Dive deep into data to identify patterns, trends, and root causes — then clearly communicate the "what," the "so what," and the "now what" to stakeholders and leadership
- Proactively identify opportunities to leverage Artificial Intelligence and Machine Learning (AI/ML) to optimize data insights generation, automate reporting workflows, and surface patterns at scale
- Create new metrics, implement new measurement logics, and develop analytical tools that evolve with the business — ensuring our reporting capabilities stay ahead of organizational needs
- Conduct root cause analyses on performance variations and develop scalable frameworks to monitor, explain, and improve business outcomes

A day in the life
In the morning, you'll review performance dashboards ahead of a business review, identifying any anomalies or trends that need attention — preparing clear narratives around the data to share with leadership. Mid-morning, you'll partner with an operations team to understand a new reporting need, mapping out data dependencies and designing the logic for a new metric they've requested — collaborating with data engineering teams to ensure the right data is available. After lunch, you'll dive into a dataset to investigate why a key performance indicator shifted month-over-month, slicing the data across multiple dimensions to isolate the driver and document your findings. Later, you'll work on building an automated reporting solution that replaces a manual process, leveraging AI capabilities to surface insights that would otherwise require hours of manual analysis. Throughout the day, you'll balance immediate stakeholder requests with longer-term projects that strengthen the organization's data foundation.

About the team
The Vendor Management & Data Insights (VMDI) team, within Translation Services Operations, consolidates vendor management operations with centralized reporting functions — including invoicing, pricing, and metrics — under one leadership. We are responsible for providing the data foundation that drives decision-making across the organization, while building and maintaining excellent relationships with external vendors to deliver results at scale for our customers. We collaborate closely with Quality and Content, Business Development, Customer Success, and Products teams to provide a seamless experience for both vendors and clients. We value a collaborative, inclusive, innovative, and data-driven culture as we work to optimize processes, improve quality, and drive cost efficiencies across Amazon's translation ecosystem.

Basic qualifications

- Bachelor's degree or equivalent
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Knowledge of databases (querying and analyzing) such as SQL, MYSQL, and ETL Manager and working with large data sets
- Speak, write, and read fluently in English, and have the ability to take direction in English

Preferred qualifications

- Experience using Python or R for data analysis or statistical tools such as SAS
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field, or 1+ years of developing automated reporting experience
- Comfortable working in an international, dynamic environment, where change is present as we constantly grow, improve, and innovate

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Business Analyst-Data Insights, Translation Services Operations at Amazon rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Analyst-Data Insights, Translation Services Operations is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in IN, TS, Hyderabad.
The job was posted on June 29, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Business AnalyticsDashboardingMetrics DevelopmentData AnalysisSQLTableauPython

Also common in business analyst jobs at this level

Generative AI AWS

Pay

Typical business analyst job: $105k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

Tell me about a project where business analytics was part of your work. What did you do?
Tell me about a project where dashboarding was part of your work. What did you do?
Tell me about a project where metrics development was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Business Analytics, Dashboarding, Metrics Development, Data Analysis, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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