Sr. Data Analyst, Apj Field Technical Operations

Bachelor's degree in Business, Economics, Finance, Engineering, Statistics, Computer Science, Mathematics or related field, or equivalent experience.
- 8+ years of experience in a business analyst/data analyst/statistical analyst role.
- Experience using relational databases (e.g. Redshift) and SQL for querying and extracting data.
- Experience using data visualization platforms (e.g. QuickSight, Tableau, PowerBI) for effective data presentation.
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
- Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations. Experience in determining optimized plan of action to deliver comprehensive BI solutions: identify and implement solutions to automate and streamline processes and analysis; producing written recommendations and insights for key stakeholders to help them make decisions.
- Fluent English communication, written and verbal.
- Good presentation skills, including an ability to effectively communicate with both business and technical teams.

Job summary

AWS is where innovation, risks, and ideas are celebrated. We are builders; we try new things, imagine big dreams and reuse whenever we can. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, problem solvers, and doers. Come join us and work with AWS technologists that work across our customers and partners in APJ to adopt cloud-based solutions.

Key job responsibilities

As a Senior Data Analyst in our team, some of your responsibilities would be:

- Conduct and present analyses on service usage trends, task prioritisation, resource allocation, program effectiveness, productivity analysis and business impact to different stakeholders including the senior leadership team.
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
- Build various data visualisations to tell the story of business trends, patterns, and outliers through rich visualisations.
- Interface with cross functional teams, gathering requirements and delivering complete BI solutions.
- Access, manipulate, and join disparate data sets using SQL and Amazon Redshift.

A day in the life

On a typical day, you'd be working with several leaders sharing your vision, data and ideas on bringing the best to our customers by prioritising best initiatives, sharing what is working and what is not, and writing your thoughts on taking the team performance to next level. You'd also be working with several of your peers across the world sharing your lessons and learning from their experiences to bring the best to India and share the best from India. You'd also be planning all hands, learning sessions, offsites and other events to build inclusive and open culture.

About the team

The APJ AWS Solutions Architecture (SA) Field Technical Operations organization is looking for a senior Data Analyst to better enable our decision-making using data analytics. Your role is critical and highly visible across the organisation and plays a key role in developing analytic insights. The insights are used to lead decision making around resource allocation, program effectiveness, productivity analysis and business impact. You will work closely with the APJ SA Field Technical Organization team and the WW Operations team and drive operational efficiency of field activities.
- Master’s degree or higher in Statistics, Data Science, or an equivalent quantitative field
- 8+ years of experience in a business analyst/data analyst/statistical analyst role.
- Expert-level skills in writing and optimizing SQL to handle large datasets.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Great organizational skills and attention to detail; able to juggle and prioritize multiple tasks simultaneously.
- Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress.
- Advanced ability to draw insights from analysis, frame recommendations supported by data, and clearly communicate them to stakeholders and senior management.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.