Data Analyst - Hiring Immediately

We are looking for a capable Data Analyst to join our amazing team at Veeva in India.
Growing your career as a Full Time Data Analyst is an incredible opportunity to develop useful skills.
If you are strong in project management, decision-making and have the right mindset for the job, then apply for the position of Data Analyst at Veeva today!

Vestas is the world leader in wind technology and a driving-force in the development of the wind power industry. Vestas' core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and join us at Vestas!
Global Operations Engineering Remote Operations Centers Condition Monitoring Global predictive monitoring team is part of Global Service Operations, Quality & HSE in Service, mainly focusing on monitoring activities such as analysis on vibration data and standard signals to measure performance and determine condition of the wind turbines and components, combining and developing methods to detect and highlight potential failures and damages before they happen, playing a key role to optimize service operations.
Responsibilities

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  Develop statistical models and methods to detect potential wind turbine component failures
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  Enable a data significant remote monitoring centers through data analytics deployed via self-service tools, to make betterdecisions based on insights from data, to improve operational performance
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  Create new insights through programming and integration of new data sources deployed in BI tools to improve transparencyand enable better administrating
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  Enable automation of analysis and reporting in BI tools for internal stakeholders
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  Continuous improvement of existing reports, dashboards through own initiative and stakeholder feedback
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  Support with preparation of datasets for advanced analytics required for strategic Management initiatives anddeveloping and tracking key business & operational performance indicators
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  Develop recommendation for how to improve data quality
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  Tuning up statistical models & collaborating with the whole value chain from design to execution, joining forces with the RemoteOperations Centers to convert failure prediction into actions at field level using turbine monitoring tools

Qualifications

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  Background in Engineering / Applied Statistics at Bachelors
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  Relevant experience in data analytics & advanced SQL programming
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  4+ years of working experience as a Data Analyst in a multi-cultural and international organizations
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  Wind turbine and energy sector experience would be an added advantage

Competencies

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  Skilled working experience in database tools like MS-SQL is mandatory
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  Ability to analyze the wind turbine component failures pattern from wind turbine standard controller signals
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  Solid hands-on working experience in one of the BI tools like Microsoft Power BI, Tableau or Qlikview is mandatory
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  Working knowledge in Python/R programming would be an added advantage
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  Efficient business insight that enables you to make recommendations to the operational business based on data insight
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  Work structured and systematic and have a consistent attention to detail, which enables you to meet deadlines and Problem Solving Methodology - Well versed with problem solving techniques such as DMAIC

What We Offer
We offer an exciting and international job with excellent opportunities for professional and personal development possibilities in an inspiring environment at the world's leading wind turbine manufacturer. We value initiative, responsibility and the right balance between creativity and quality in all solutions. You will become part of a highly professional environment with a significant technical commitment
Additional Information
Your primary workplace will be in Chennai.
Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before 31st March 2023.

Benefits of working as a Data Analyst in India:

● Company offers great benefits
● Opportunities to grow
● Attractive package