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Data Engineer

AT Eaton
Eaton

Data Engineer

Pune, India

What you'll do:

This position will be based in Sales and Marketing center in Pune. The position will be individual contributor & part of business analytics pricing team in Pune, India. The position will require working in a cross functional team to define and manage data in a sustainable way. The incumbent will be responsible for supporting Electrical EMEA's strategy in developing and executing a unified collection of tools, dashboards, and analytics to deliver better data-driven insights into business operations. Key objective to be met by the execution of this strategy is to have a single source for truth for data enabling faster, accurate decision-making, reporting of key metrices and deploying advance analytics methods and techniques to provide insights and recommendation for actions.

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Discover the information hidden in vast amounts of data. Help to make smarter decisions to business by delivering a single source for truth for data. Primary focus would be in applying advance analytics methods and techniques to provide insights and actionable recommendations.
• Support Analytical projects from conceptualization to execution and partner with the business in the implementation of the analysis for driving incremental sales and profits.
• Design & build platforms and programs to collect, store, analyze and visualize data from various sources for specific projects
• Responsible for finding trends in data sets and developing algorithms to help make raw data more insightful to the users
• Ability to understand business processes & user requirements to plan where data fits into the business model to build a data ecosystem to serve the business needs
• Provide ongoing analytical support to various functions with the systematic use of both historical and predictive data to make informed decisions.
• Identify and discover opportunities for utilizing advanced analytics methods and support in developing the competencies in the analytical team problem identification and problem-solving using advanced analytics/ statistics
• Support in designing data models to improve processes, identify Price leakages, reduce risk and add strategic value to the business

Qualifications:

• Minimum Graduate in Mathematics, Business, Economics.
• 3-5 years of experience - manufacturing industry exposure preferred.

Skills:

• Microsoft Power BI, Knime, Alteryx experience mandatory
• SQL query language mandatory
• Data Engineering basic - (Extracting (relevant data), transforming (cleaning data), and loading (calculating & integrating) data from multiple sources to a single repository.) - Mandatory
• Strong analytical skills- prior experience of working on big data analytics projects - Preferred
• Analytical modeling experience - Preferred
• Strong business acumen (of whichever industry the candidate belongs)

• Ability to multi-task and be proactive & independent in a dynamic environment.
• Highly motivated individual with excellent oral and written communication skills.
• Strategic and Critical approach towards solving problems and decision making
• Results-oriented; proven ability to prioritize, drive and achieve results
• Excellent communication skills - storytelling, concept pitching.
Problem solving and decision making capability
Good communication skills
Globally Savvy
Customer Focus
Get result through self and others

Client-provided location(s): Pune, Maharashtra, India
Job ID: Eaton-32880Pune
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Adoption Assistance Program
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Summer Fridays
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)