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Location: US-CA-Milpitas



Responsibilities:

Perform project analysis and development tasks of increasingly complex nature which may require extensive research and analysis.
Make design and technical decisions for application and ensure high performance of the application.
Determining methods and procedures on new tasks, establishing these for the assignment and coordinating activities with other employees while leading a small team and demonstrating a good leadership within the team
Work in an agile development environment and ensures process/policy compliance as per organizations guidelines.
Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal and external customers, to understand requirements and develop needs according to business requirements
Supports code deployments and configuration changes to production and non-production systems, following established procedures
Be a thought leader, understand the latest trends and capabilities to implement modern and successful solutions
Contributing to your BU/Practice by
Documenting your learnings from the current work and engaging in the external tech community by writing blogs, contributing in GitHub, Stack overflow, meetups / conferences etc.
Keep updated on the latest technologies with technology trainings and certifications
Actively participate in organization level activities and events related to learning, formal training, interviewing, special projects etc.
Qualifications:

A BS/MS in computer science, statistics, or related technical field is strongly preferred.
5-7 years of experience in data analytics, or consulting in analytics/business intelligence for large enterprises.
Familarity with Marketing tools like Adobe Analytics, Salesforce, Marketo, Eloqua, Informatica Cloud Services
5+ years of programming experience, preferably in Python, SQL
Be able to develop analytic models and visualization in Excel, Tableau or Power BI
Able to articulate and tell a story to business based on data analysis
Experienced in core data concepts such Relational Models, Data Frames, Pivots, Time Series, Calculated Fields, and Metrics development
Understand Data Domain such as Install Base, Contracts, Entitlements, Customer, Licensing Products, Quotes/Orders, Opportunity
Exposure to Big Data technologies such as Hadoop, Hive, Spark a plus
Exposure to one of RDMS platforms Oracle, SQL Server, Postgres, My SQL required.