Business Analyst, Data Sciences and Advanced Analytics

Job Description

Title: Business Analyst, Data Sciences and Advanced AnalyticsNature of Role: Individual ContributorTotal Indicative Experience: 2-4 YearsIndicative Education: Bachelors or equivalent degree mandatory. Master s or equivalent degree preferred. Degrees in computer science or statistics or mathematics preferred.Company BriefThe most advanced companies in the world turn to VMware to manage, grow and transform their business. With over 500,000 customers globally and an ecosystem of 75,000 partners, our software powers the world s complex digital infrastructure. When you work here, you re connected to a global community of innovative, empowered employees working together to solve the most critical technology challenges. Here, you re surrounded by a culture of possibility, where ideas ripple out and have a positive impact on customers and communities everywhereJob SummaryThe Enterprise Data & Analytics organization at VMware is looking for a customer-oriented, analytical and driven individual. VMware has a dynamic, rapidly growing environment and will require the individual to participate in various roles to deliver success!The Business Analyst will work with key business customers and IT teams to deliver Advanced Analytics, Data Science and ML solutions to support VMware s growing business with optimized systems/processes.The role will be responsible for supporting Global teams working with colleagues and partners with a focus on VMware s Deal Desk, Pricing, Internal Audit, Finance functions.The position requires the Business Analyst to be a self-starter with strong Data Science and Machine Learning skills who is comfortable working with distributed teams, at all levels of the organization.Job Role and Responsibility

• Direct partner engagement with business teams and management of partner relationships.
• Create in-depth business requirements across functions, such as Deal Desk, Pricing, Internal Audit and Finance, for large company driven projects
• Develop a strategic understanding of the data and analytics needs of the target stakeholders through strategic engagements, research and requirements discussions
• Work across a multitude of data science and advanced analytics projects across business functions
• Identify data sciences opportunities and streamline requirements across corporate services functions, such as Pricing, Deal Management & Finance.
• Drive data science and advanced analytics projects, taking ownership of successful completion for the end to end life cycle and implementation.
• Bring in knowledge of statistical or data science methods to deliver insights
• Grasp requirements and deliver to specification; present to stakeholders, senior management and Leadership. Develop storyboards for executive presentations
• Drive stakeholder engagements by driving complex analytical projects including bottoms-up projects
• Provide strategic business guidance and expertise through data visualization, data mining and story-telling supported with data best practices.
• Work with partners in the domain to develop their conceptual understanding of the underlying Systems, Data Flows, Reporting and analytical Model
• Chooses appropriate underlying technology to model complex data.
• Translates fuzzy problems into a structured & scoped problem
• Can envision & implement the optimal analytics technique/approach required for the problem
• Shares knowledge with other teams pro-actively by creating/sharing work in forums.
• Partner with IT teams on functional requirements and design to drive successful end state solutions and user experiences
• Drive effective communication, training, and documentation to enable successful user adoption
• Develop expertise on business processes, life cycles, and data drivers to recommend data science solutions and drive requirement discussions
• Drive process improvements and efficiencies
• Collaborate on the definition of KPI s and metrics to monitor and drive the business

• 2 to 4 years experience in business analysis, implementation of data science and machine learning solutions
• Strong at SQL

• Hands on experience with developing propensity models (to buy, to sell, to respond), segmentation, cross-sell/up-sell models, forecasting using Python, R or any other language/Machine learning libraries.
• Solid fundamentals, knowledge of supervised, unsupervised, reinforcement learning machine learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN,sequence modeling, probability theory, algorithm design and theory of computation, information retrieval
• An expert in at least one of the machine learning frameworks - Keras, Tensorflow, PyTorch, etc, as well as programming, visualization, and statistical tools such as R, Python, Tableau.
• Greenplum, HAWQ, or any other MPP architecture databases, Usage of various machine learning or statistical libraries
• Functional knowledge of Pricing, Deal Management & Finance business models and related metrics is preferred
• Proficient in MS Office (e.g. Word, PowerPoint, Excel, Access)
• Good written communication skills
• Good verbal communication skills and able to gather requirements on a call
• Excellent communication (written/verbal), presentation and facilitation skills
• Ability to use a consultative approach and persuasive communication with business partners
• Ability to take initiative and to set priorities independently
• Ability to work effectively and efficiently in a multitask environment
• Strong organizational skills and attention to detail
• Strong work ethics
• Previous experience in a reputed analytics firm for 2-4 years is highly desirable

Keyskills :
customer relationsdocumentationrequirementsfunctionalbusiness requirementstheory of computationeuropean works councilsequal employment opportunityms office