Data Analyst (Job Code : J44229)  

 Job Summary
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1.00 - 3.00  Years 
Data Analyst
Educational Level:
Stream of Study:
Industrial Type:
IT-Software/Software Services
Functional Area:
Key Skills:
Data Analysis,SQL,Excel
Job Post Date:
2021-08-19 11:19:13  

 Company Description
My Client. is a global organization & provider of the world-s first Installed Base Data Platform (IBDP) for Industrial OEMs to unify, organize & analyze their customer information while significantly improving available data quality. Their product, a SaaS platform, incorporates purpose-built AI/ML analytics to identify sales and service opportunities to increase wallet share from the OEM-s installed base. My client is trusted by Industry leaders including Johnson Controls, Baker Hughes, Peerless Pump, Dematic, ColeParmer and many more who use their expertise to drive organic growth at scale.

 Job Description
Position Title: Data Analyst
Mission of this role: Execute customer data analysis in a reliable, repeatable and scalable manner to deliver fast time-to-value.

1)Execution of data analysis, ETL, and data mining to support customer deployments per SLAs.
2)Deduplication of data using both tools and manual based on requirements.
3)Concurrent management of 4 - 5 new and existing customers
4)Work closely with Customer Implementation / Solutions Managers / Business Analysts to ensure high levels of customer satisfaction and retention.
?Very Important to have an excellent verbal and written communication skills.
?Possesses a keen analytical mind with attention to detail and accuracy.
?Proven experience working with large data sets and deriving insights from data using various business intelligence and data analytics tools.
?Self-starter, motivated to help drive company “agenda.”
?Strong planning processes and skills
?Agile thinker, quick learner
?Flexibility to adjust course as we learn from our early work.
?Has grit – knows how to recover from mistakes and failures and bounce back to win.
?Demonstrated ability to learn and master new technologies and concepts.
?Ability to lead simultaneous initiatives in an entrepreneurial environment.
?Candidate should have mindset of working on different aspects of the data domains like Data Science / AI , Data Analysis, Data Analytics , Business Intelligence , Implementations , Data support.