The main job duties are to support the strategy and managing projects, people or innovation streams for the Nirvana XP platform. Conduct a variety of statistical analyses including data mining, predictive modeling and/or actuarial techniques for Nirvana XP Analytics product. Review analyses and provide direction and insight. Serve as a subject matter expert in Advanced statistical analyses. Actuarial and/or research methods. Work directly with client’s team of analysts and/or project members.

Job Description

Position: Advanced Analytics Associate

Description:

Job duties:

Requirement Analysis

• Communicate with the customer (Client) to gather requirements for data analytics and insight and document them.

• Analyze the business process and define value proposition for the client.

• Validate and document business flow, processing rules, identify business metrics for measurement.

• Conduct meetings with system analysts, engineers, programmers and others to design the system and to understand project limitations, capabilities, performance requirements and interfaces (if any).

• Analyze user needs to determine feasibility of design within time and cost constraints.

• Identify new opportunities that drive significant improvement to business performance (customer experience, efficiency and/or revenue) within client.

• Leverage analytics, programming and process improvement methodologies to provide a data-driven approach to improvements.

• Present opportunities to the leadership (Director/VP and above).

• Provide fact-based, compelling recommendations to drive consensus and strategic alignment.

• Develop comprehensive Cost Benefit Analysis (CBAs) to capture financial impacts of initiatives.

Analysis and Strategy

• Identify new ways to leverage data and information to drive insights and better understand customer and employee experiences.

• Act as a data expert for Nirvana XP Analytics to provide quick and efficient understanding of data availability, limitations and effectiveness.

• Help to drive overall organizational awareness and capabilities related to data resources.

• Leverage a variety of modeling strategies and simulation tools to understand and predict customer behavior, forecast and future growth based on Al algorithm.

• Develop overall strategies that optimize efficiency, revenue and customer experience and business performance metrics.

• Work with business partners to define and refine new business operational metrics (e.g. Efficiency/Utilization metrics).

• Present findings and recommendations to senior leadership (Director/VP and above (to drive Nirvana XP product roadmap.

Implementation

Testing Application

• Read all documents and understand what needs to be tested.

• For testing, include all aspects of the application.

• Perform Unit testing and integration testing for either new or modified applications.

• Create a test environment and test scenarios.

• Execute all the test cases and report issues, and define priority for each issue.

• Modify software to correct errors and improve its performance.

• Carry out regression testing every time changes are made to the code.

Deployment & Maintenance

• Aid clients in implementing application, updates.

• Prepare technical documents, user manuals, and help files.

• Provide post installation support to client.

Skills

• Data mining

• Predictive modeling

• Actuarial techniques

• Advanced statistical analyses

• Lucidchart

• Timetask

Requirements-

• Hours: 40 hours a week, 9:00 a.m. to 5:00 p.m.

• Education - Masters Degree in Information and Data Systems, Computer Engineering or related field required.

• Employer’s Name: Nirvana XP Inc.

• Job site: 10120 S. Eastern Ave, STE 219, Henderson NV 89052

• *Telecommute allowed

• Identify, analyze, record, track and resolve application problems.

• Work closely with the Client to ensure the proposed design meets the Client’s requirement.

• Frequently present Application demos to the Client to keep them engaged in the development process.

• Analyze; document an assist in making necessary changes if the Client’s requirement changes.

• Identify trends in client data to make actionable recommendations.

• Contribute to development of model creation, testing, execution and maintenance.

• Create dashboards to support the analytics when needed.