Business Intelligence Engineer, Analytics
1 month ago
The resource would be heavily engaged for a new data management platform wherein he/she would be working on complete packaging and product design of data as products. The resource would be working on metrics delivery for the business yet heavily involved in visualizing and designing the end solution on amazon internal tools or third party platforms to meet the LT goal of ODI marketplace. Leveraging their knowledge of product &system design and cloud services they would help in creating and deploying end to end solution .
This resource would also be working on Total Cost of Ownership and Strategic Transformation Projects with the business. The key responsibilities areas would include metrics definition, logic creation, pipeline deployment, visualizations and stakeholder management. He/she would engage closely with the business partners to solicit ideas, identify pain points and define business KPIs that would help the leadership and executive teams to monitor and regulate the services better.
The right candidate will be working with large datasets, data visualization, automation and will enable bringing data forward to answer complex business questions that deepen our understanding of our business drivers. This role requires an individual with excellent team leadership and communication skills, analytical modeling skills, and the ability to work across teams including Data Science, Software Dev, Product Management, Demand Planning, Supply Planning, Marketing and Finance to drive business outcomes
Key job responsibilities
• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
• Development of dashboards and reports.
• Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations.
• Deliver minimally to moderately complex data analysis;
• Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• Adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.
• Have understanding of AI/ML and other industry solutions in this space to know when to apply what to solve business problems.
• Have proven track record of launching new products, solutions and managing projects end to end.
• Excellence verbal and written communication skills.
• Comfortable wearing multiple hats and go over and above to drive results.
About the team
We are the central Data team for Ops Technology Solutions which is the heart of technology helping fulfillment centers, delivery stations and other sites continue operating in a seamless manner. With the depth and breadth of the functions this team handles (supply chain, network, operations, launches etc), the data becomes equally vast, varied and complex. Out team comprises of Business Intelligence Engineers, Business Analysts, Data Engineers and Data Scientists. Hence there is a lot of learning potential in the tech space with our team. We are looking for excited individuals who want to challenge the status quo and raise the bar with every delivery.
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, 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 writing complex SQL queries
- 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
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
- Knowledge or AI/ML and Data Science applications
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