Engagement Lead

Below is the job description of the requirement.

Job Summary

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets. You will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success.

Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives

Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data

Collaborate with business, solution/enterprise architects to translate business requirements into scalable solution options and provide input to Business Analytics and Master Data roadmap/strategy

Provide input to business requirements and prepares functional requirement document along with solution options

Collaborate with key stakeholders to define KPI and build data metrics to measure KPIs

Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues

Analyze data with new perspectives and creative approaches to less defined issues involving unstructured and ambiguous data

Job Requirements

Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.

Demonstrated ability to have completed multiple, complex technical projects

Data modeling experience in Enterprise Data Warehouse and DataMart

Hands-on experience in SQL, Python, NoSQL, JSON, XML, SSL, RESTful APIs, and other related standards

Hands-on Client with a proven track record of building and evaluating data pipes, and delivering systems for final production

Must have strong data orientation and keen aptitude to explore innovative ways to analyze data

Exposure to Big Data Analytics (data and technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications

Experience with various data systems like Oracle Data Warehouse, SAP HANA, Hadoop/Hive, Vertica, Redshift, Presto, Mangodb, SnowFlake

Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure

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Last updated on Nov 15, 2022