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Job Location: Bangalore
Join a team recognized for leadership, innovation and diversity
SPECIFIC JOB RESPONSIBILITIES:
- Data Engineering and Technical Delivery – Ability to use data for Exploratory, descriptive, diagnostic, Inferential.
- Establish, baseline, and ensure adherence to the program plan, basis-of-estimate (BOE), statement-of- work (SOW), and work-breakdown-structure (WBS) (In coordination with the Program Manager (PM), other PP&C, and engineering focals)
- Helping maintain program structure, as well as, managing and executing the PP&C MOS and associated artifacts
- Ensuring the positioning, execution, and maintenance of a cost accounting structure aligned with site planning systems (i.e. SAP) and enabling Earned Value (EV) / Cost-Performance-Index (CPI) / Schedule-Performance-Index (SPI) reporting
- Develop metrics, analyze status, and recommended courses of action to the PM in support of periodic program / internal / customer reviews – serve as the focal point for such metrics and key program data
- Identifying root-cause and corrective actions for complex PP&C problems with, at times, incomplete information
- Work independently for solving complex problems with minimum guidance. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions. Support the evaluation of the need of technology and novel scientific software, visualization tools and new approaches to increase efficiency.
- Independently identify novel ideas and propose them for application to business problems/ scenarios.
- Plan and execute data mining, data integration, trend analysis, report development and custom analytics to create solutions and align with organizational strategies.
CRITICAL COMPETENCIES:
- Strong intuition for data and keen aptitude on large scale data analysis
- Excellent problem-solving ability and results oriented focus. Ability to translate analysis and insights into actionable recommendations.
- Understand ambiguous issues / scenarios – able to distil learning and simplify
- Excellent analytical skills with demonstrated ability to query, analyses, explain and draw logical conclusions from operational & financial data and present findings in a simple manner
- Strong financial acumen with the ability to interpret financial data
- Innovative, creative, and proactive.
- Highly driven, energetic, flexible, resourceful & ability to multitask.
- Strong influencing skills, including demonstrated ability to influence and drive results at all levels of the organization
- Demonstrated ability to deal tactfully and confidently with customers /personnel at various organizational levels in independent and often stressful and ambiguous situations
- Team Player, open to feedback, and flexible & adaptable to changing needs.
BASIC QUALIFICATIONS:
Education: BE/ B Tech in any Engineering discipline , MBA in Business Analytics/Management,
Data Science (Engineering or any related field).
Experience: 2 + years of Proven Analytics and Data science Experience, Project Management.
ESSENTIAL TECHNICAL SKILLS:
- 2+ Years in Data Mining/Analytics / Data science
- Hands on experience in Advanced SQL/ORACLE/AWS and relational databases
- 2+ years of work experience with data visualization tools using Power BI, Tableau
- Hands on experience of R, Python, Alteryx.
- 2+ years of work experience with SAP or other ERP’s, Microsoft Excel, Powerpoint.
- Hands on experience in MS Project/Primavera.
- Comfortable with concepts of applied mathematics and basic statistics
- Project Management skills – Ability to manage a project, report out on action status, and provide clear verbal and written status
- Highly motivated; goal and results oriented
- Knowledge on EV Management, Schedule Management preferred
- Good Data crunching and presentation/ interpretation skills- Story building + delivery
Additional Information
JOB ID: HRD178705
Category: Engineering
Location: HW Camp II,Bldgs 9A&9B,Plot C2,RMZ Ecoworld,Varturhobli,Sarjapur Marathahalli Outer Ring Road,Bangalore,KARNATAKA,560103,India- Exempt
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