Manager - Warranty Analytics

Experience:

10-12 year business experience in engineering domain out of which 4+ years business experience using and developing Analytics Solutions

Core Competencies:

Technical Skills:

- Experienced in SAS Warranty Analytics - Experienced Base SAS programmer

- Experienced Enterprise Guide / Enterprise Miner User

- Experienced in Analytics Solutions as a developer

- Preferably experienced in at least one other statistical tool: SPSS, Statistical, R, JMP

- Experienced on using point-and-click applications, such as a Web browser

- Expert level capability in use of desktop software (MS Office Suite, with focus on analytical skills in Excel)

Aptitudes:

- Analytics - data miner expert

- ANOVA / Regressions

- Multivariate analysis

- Forecasting

- Survival / Reliability model

- Clustering techniques

- Proactive and team player

- Relationship management

- Strong Verbal and written communication in English

Nice to Have (one or more of the following)-

- Experience in one or more of the following: heavy equipment, vehicles, spare parts, farming equipment, construction equipment

Core Competencies:

- Knowledge of quality manufacturing processes

- Capacity to learn and visualize mechanical parts and failure modes (i.e. Mechanical Engineer)

- Experience in warranty and/or reliability

- Experience in root cause analysis methodology

Other Expectations:

- Knowledge of quality manufacturing processes

- Strong analytical and problem solving mindset

- Ability to simplify complex tasks and drive efficiencies

- Engineering or Statistics Degree

Objectives of Role:

- To maintain quality and service standards in support of the contracted Service Level Agreement

- Gradually build basic analytical competency in the team by calibrating outcome with client analysts

- To build, sustain and motivate a high performance team

Support SWA Analyst Junior in the following activities:

- Conduct warranty emerging issue detection and support root cause analysis using SAS Warranty Analytics (SWA) tool

- Perform warranty data statistical analysis to support reliability and product engineers in problem detection and resolution

- Create Evidence Packages and Problem Statements to document analytics findings and make them available to the problem resolution stakeholders

- Drive problem resolution cycle time reduction

Plus:

- Support ad-hoc analytics requests not available in SWA

- Conduct more complex analysis requiring additional tools such as: SAS Enterprise Guide, SAS Enterprise Miner, SAS Text Miner, SAS Base programming.

- Program and automate custom analysis and reports in Enterprise Guide and SAS Base to analytics enhance tool set used by Analysts Junior

- Train Analysts Junior in sophisticated warranty and statistical analytics techniques

- Maintain SWA configurable parameters to optimize emerging issue detection

- (Emerging issue =product failure identified by the customer of heavy equipment, vehicles, and machinery)

Main Accountabilities-

Operational Responsibilities:

- Implement practices and metrics to improve operational efficiencies Expert Analyst Operational Responsibilities - Emerging issue identification and prioritization

- Monitor performance of SWA emerging issue alerts.

- Optimize parameters in SWA to maximize issue detection and minimize false alarms (define false alarm probabilities, define thresholds, create run groups: grouping of data to be analyzed against different sets of analysis options)

- Discuss detection methodologies with reliability engineers to design new rules and methodologies beyond SWA detection capabilities

- Leverage root causes identified during Problem Resolution process to create new rules to automate emerging issue detection

- Observe Emerging Issue detection process and look for ways to continuously improve it

- Support ad-hoc complex analysis not supported by SWA and continuously improve root cause analysis methodology and tool set

- Leverage multiple SAS tools to conduct more complex warranty analysis: SAS Enterprise Guide, SAS Enterprise Miner, SAS Text Miner, SAS Base programming.

- Automate ad-hoc complex analysis proven useful to enable Junior analyst to use them on a recurrent basis.

Main Accountabilities:

- Train Junior Analyst on new ad-hoc analysis developed by Analyst Experts.

Explore new root cause analysis methodologies with warranty expert analysts and reliability engineers as a way to continuously improve the warranty analytics team capabilities

- Monitor and interpret process KPI's

- Guide and mentor Analysts Juniors in their path to become Analysts Experts

People Management Responsibilities:

- Need to be a good team player and lead, involve the team members for smooth day to day operation

- Work with managers to allocate workload and assignments to the team

- Accountable for coaching, mentoring and motivating managers and specialists

- Manage and develop career goals both short term and long term for Specialists and Managers

- Provide feedback and help team members in process improvements and KT the process as required.

- Participate in conducting health assessments and improvement opportunities and audits for the project on a periodic basis and communicate to management and key stakeholders

About Client -

We are one of the world's leading organizations providing management consulting, technology and outsourcing services, with more than 323,000 employees; offices and operations in more than 200 cities in 56 countries; and net revenues of $30.0 billion for fiscal 2014.

Our four growth platforms- Strategy, Digital, Technology, Operations- are the innovation engines through which we build world-class skills and capabilities; develop knowledge capital; and create, acquire and manage key assets central to the development of integrated services and solutions for our clients.