Data Analyst
Pune, India
SUMMARY
Vertiv Service business is designed to provide full life-cycle service support for our customers and as such is a core part of the Vertiv market offering. On site activity is a crucial element of Vertiv Service organization around the world. Vertiv CE are doing hundreds of thousands visits every year to maintain the critical infrastructures devices supporting Vertiv Customer applications.
As Junior Data Analyst you will within Big Data team to deliver meaningful output for use by the business and its customers. This could be different type reports like performance (equipment, site, operational) analysis, statistical (bench marking, operational, site, customer) analysis, maintenance planning, cost analysis for service contracts, etc.
In this role, you will be working directly with Data Engineers, Data Scientists, cross functional teams across various teams, both at a Regional and Global level, as well as Technology, Data, Insights & Analytics teams.
REPORTING RELATIONSHIPS:
This position will report directly to Big Data Team Leader, who reports to Global Service Platforms organization.
ESSENTIAL ROLE FUNCTIONS:
- Interpret the data, analyses results using statistical techniques and provide ongoing reports that will convert into business opportunities.
- Work with Management Systems leaders (Product Management and Marketing) and with the experts in the different technologies to priorities business and information needs.
- Actively work with the Center of Expertise leaders (Thermal, AC and DC power, Batteries, Generators) to identify the needs for data collection at system, site and network level.
- Collect feedback from Technical experts to improve the reports and data collection and verify that the improvements suggested have achieved the expected results.
ADDITIONAL RESPONSIBILTIES MIGHT BE ASSIGNED:
- Define, with the subject matter and product specialists, the data to collect from the systems and site process sold and utilized by Vertiv.
- Define strategies to optimize statistics in terms of efficiency and quality, including filter and clean data defining KPI’s to identify problems at data base level.
- Collaborate with the Monitoring solution architects to assure the efficiency of the data collection in different projects and solutions.
- Work with the Global and regional teams to design, develop and maintain the Service Analytics concept. Develop and maintain the Global Data Lake used in conjunction with the Analytics Service organization plus other requirements as needed by the company.
MINIMUM QUALIFICATIONS:
- Degree in Math, Statistics, Economics, Computer Science, or another quantitative field.
- Working experience for minimum 1-2 years as a data analyst or business data analyst preferably oriented to IoT and M2M environments.
- Technical knowledge regarding data (models, mining, cleansing, segmentation) and database design techniques.
- Good knowledge and experience with BI reporting packages (Power BI, Tableau, etc), databases (SQL, etc), programming (Python, JavaScript, or ETL frameworks).
- Modeling skills to represent requirements information in graphical forms that augment text representations.
- Strong analytical skills with the ability to collect, organize, analyses, and disseminate significant amounts of information from different technical environments.
- Knowledge and capability to understand specific applications in the Data Center, Telecom, Industrial and Edge segments.
- Strong Communication skills and be able to pick new technology as we expand our data analytics footprint
- Ability to ideate and be able to pursue those ideas to deliver business value
Preferred skills: Microsoft Certified Power BI Analyst/Associate.
Language skills: English – Advanced/native level; Spoken Chinese is a plus.
Location: Pune, India - Normal office environment and schedule. Geographically distributed (virtual) team.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data Analytics Economics ETL Industrial JavaScript KPIs Mathematics Power BI Python SQL Statistics Tableau
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