2576738 Business Intelligence Engineer

half the sky; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology company is seeking a seasoned Business Intelligence Engineer to join their AWS Support organization in Mumbai. This role involves defining and implementing key performance indicators (KPIs) into dashboards to facilitate data-driven decision-making. The ideal candidate will have over 3 years of experience in data analysis, strong skills in SQL, and familiarity with data visualization tools like Tableau. Join a diverse team that values work-life balance and career growth opportunities.

Qualifications

• 3+ years of experience analyzing and interpreting data.
• Experience with data visualization tools.
• Strong understanding of SQL for data retrieval.

Responsibilities

• Define key performance indicators (KPIs) for business operations.
• Implement KPIs into dashboards that drive decisions.
• Collaborate with internal stakeholders to provide insights.

Skills

Data analysis

SQL

Data visualization

Statistical analysis

ETL pipelines

Python scripting

Education

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics

Tools

Redshift

Tableau

Python

Job description

About the job 2576738 Business Intelligence Engineer

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world‑class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission‑critical applications on top of AWS services. Are you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business? Read on.

We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support, despite the impression that its name (support) might give you, is not a typical reactive customer service, but an independent AWS business that provides industry‑leading offerings way beyond just break‑fix. The business has a self‑standing P&L and has even yielded revenue larger than most AWS Services. Managing an organization that supports an ever‑expanding AWS product portfolio to millions of customers across the globe is not a simple task, and leaders in all functions inevitably need reliable data for their day‑to‑day operations and strategic decision‑makings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly data‑driven organization.

Key job responsibilities

As a BI Engineer, you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding of the support business and operations and implement the KPIs into dashboards/reports that drive the decisions made by senior leadership. The BI Engineers will have opportunities to not just exercise their technical skills such as SQL to retrieve data and convert it to simple graphs and tables, but to develop true dashboards that are information‑rich and flexible yet intuitive and easy‑to‑use, helping the support leadership quickly discover golden insights to serve AWS customers better. You will let the data answer questions such as: what is high/low quality means at support?, is this particular customer happy with their support experience?, and how productive is this support agent versus other agents in the network? The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of the key leading indicators for new customer demands and for problems yet to be discovered.

a technology perspective, you will be exposed to modern agile cloud‑based data technologies. The team will be empowered to select the right technology, if necessary, based on customer needs and you will have the full set of AWS services in your toolbox.

Ability to overlap with US Central business hours is essential. Normal work hours would start at 3 a.m. IST.

About the team

Diverse Experiences – AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating; that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND | Hyderabad, TS, IND | Mumbai, MH, IND

BASIC QUALIFICATIONS

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in statistical analysis packages such as R, SAS, and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

PREFERRED QUALIFICATIONS

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large‑scale, complex datasets