ADCI HYD 13 SEZ
Business Intelligence, Business Intel Engineer, transportation and logistics
BIEII,ShipTechAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“BIE II, ShipTech Analytics at ADCI HYD 13 SEZ. Skills: Data engineering, Business intelligence, Data modeling, ETL. Design dashboards. Develop dashboards”
Industry & Context.
Analytical thinking; Solve problems; Complex technical contexts
What They're Looking For.
Must Have
3+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Data modeling experience, Data warehousing experience, Building ETL pipelines experience, SQL data pulling experience, Python scripting experience, Develop new metrics, Present new metrics, Work with business stakeholders
Nice to Have
AWS solutions experience, EC2 experience, DynamoDB experience, S3 experience, Redshift experience, Data mining experience, ETL experience, Large-scale datasets experience, Complex datasets experience, Evaluate AI systems experience
What You'll Do.
Design analytical reports
Develop analytical reports
Implement analytical reports
Partner with business stakeholders
Gather business requirements
Translate requirements to technical solutions
Collaborate with technology teams
Deliver data pipelines
Combine statistical methodology and analysis
Combine programming skills
Support complex business problems
Improve reporting processes
Improve analysis processes
Automate analytical pipelines
Build AI-powered solutions
Implement training solutions
Implement documentation solutions
Enable business stakeholders
Get most out of self-serve reporting tools
How You'll Work.
Team & Collaboration
Business stakeholders; Operations teams; Analytics teams; Technology teams; Cross-functional partners; Global team; Peers; Smart engineers; Talented engineers; Cross geographies
Communication Scope
Verbal communication; Written communication; Presenting recommendations
Full Job Description
Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's global transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Business Intelligence Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazon's global transportation network. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams. As a BIE II, you'll work on building analytical solutions that empower operations teams worldwide. You'll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build metrics for the transportation network, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. We're excited to talk to those up to the challenge! Key job responsibilities - Design, develop and implement dashboards, metrics, KPIs and analytical reports to drive key business decisions supporting Amazon's global transportation network - Partner with business stakeholders across operation
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