Data Analyst Jobs Vacancy in Reliance Jio Infocomm Limited Navi Mumbai
Reliance Jio Infocomm Limited Navi Mumbai urgently required following position for Data Analyst. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.
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Data Analyst Jobs Vacancy in Reliance Jio Infocomm Limited Navi Mumbai Jobs Details:
- Job Responsibilities :
1. This position requires the individual to stitch together
fields of machine learning, data design, data mining,
statistics, user behavior, computational economics and data
streams to define and drive mobile user data analysis and
research at RJIL2. The person will be responsible for solving
complex big-data problems in mobility and cloud applications
space using data mining, machine learning, statistical analysis
and computational economics.3. An ideal candidate should have
strong depth and breadth knowledge in machine learning, data
mining and statistics. 4. The candidate should have reasonable
programming and design skills to manipulate unstructured and big
data and build prototypes that work on massive datasets. 5.The
candidate should be able to apply business knowledge to perform
broad data analysis as a precursor to modeling and to provide
valuable business intelligence
- Education Requirement :
- Experience Requirement :
- Skills & Competencies :
1. Expertise in providing an end to end BI solution by
configuring metadata and building Analytics Repository,
dimensional modeling design, building business models,
generating reports and creating dashboards using Analytics.2.
Strong technical knowledge of Pentaho and related BI
Applications, including approach to implementing, extending and
supporting using third party modules3.Strong technical
understanding of data structures generated by mobile
applications and networks, and how they relate to establishing
data warehousing, data management and analytic architectures.