Senior Business Intelligence Engineer (Level 6)

Senior Business Intelligence Engineer (Level 6)

  • Anywhere

Company Name:-
ADCI HYD 13 SEZ

Job Location:-
Hyderabad, Telangana

Job Summary:-
Bachelor’s degree in math, computer science, engineering, finance, statistics, or a related technical field.

5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.

Experience working directly with business stakeholders to translate between data and business needs.

Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets.

Experience with data visualization using Tableau, Quicksight, or similar tools.

Ability to effectively prioritize projects, manage multiple competing priorities simultaneously, and drive projects to completion under tight deadlines.

Excellent written and verbal communication skills

Are you excited and passionate about delivering advanced analytics that directly influence the Alexa user experience? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? Come join Alexa Data Services team as a Business Intelligence Engineer!

A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results across a variety of stakeholders in a fast paced environment.

He/she will be an expert in SQL/ETL and data manipulation, with a proven track record of connecting data insights to business impact.

He/she will be able to present analytical results and insights clearly using multiple methods, including written summaries and visualization/reporting tools.

The candidate will also have an eye for optimization and automation in reporting.

Responsibilities include (but not limited to):Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc.

that will support our analytical and business needs.

Use analytical and statistical rigor to solve complex problems and drive business decisions.

Build robust forecasting models for various business and customer dimensions.

Interface with cross functional stakeholders to gather data and metrics requirements.

Develop interactive and flexible visualization dashboards, reporting across products, to drive adoption and increase visibility into key metrics.

Monitor and troubleshoot operat

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