Position: Assitant Manager
Experience: 2 to 5 years
Place of posting: Hyderabad
Essential: Specialisation in Data Science/Core Analytics.
Graduate/Post Graduate in Engineering and working experience in having worked on the data engineering and data science viz., working on the data warehouse and working experience of problem solving in R & Python.
Desirable: Academic/Consulting backgrounds and Relevant knowledge of Cards & Payment Industry/BFSI
R Programming, Python and Hadoop
Should work as a team member in the project team that is building the Data warehouse in open source Hortonworks Hadoop and contribute as per the needs of the project.
Conducts statistical analysis on time series and multi variate analysis on large data sets across product suite of NPCI.
Should be in a position to do econometric analysis post finalising the variables to be included and should be in a position to conceptualise data collection, retrieval, Extraction, Transformation and present coherently the results post performing Statistical analysis.
Should aid in Daily/Weekly/Fortnightly/Monthly MIS preparation and circulation on TAT and adding value to the reports and further improvements.
Conduct Surveys/Sentiment Analysis and work on large data sets and perform statistical analysis.
Be able to coordinate with the IT Team in the organisation and drive all the IT related work parallelly in the Analytics team on need basis.
Ability to stretch, learn and deliver with stricter Timelines and non-negotiable SLA TATs.
Should be a quick learner with short notice on new concepts relevant to the industry and to the emerging needs of the organisation and reasonably implement latest in the market from the tools point of view.
Statistics: should be able to work on R & Python to undertake parametric and non parametric modelling, conduct time series modelling and come up with explainable forecasts and predictions.
Should be fully conversant on analytics methodologies and arrive at logical and statistical conclusions from large data sets collection, compilation.
Should be conversant with latest in the data mining techniques of Association mining, Classification like ANN, Bayesian, Decision Trees, Logistic Regression, boosting and bagging.
Should be able to perform clustering analysis, outlier analysis.
Innovate to reduce manual reports preparation by running Macros/VB scripts so as to automate the reports preparation by pulling data from the source systems.
Preferred to have programming background and strong sense of analytics aptitude-- strong working knowledge of SQL/Oracle, VB Macros, Dashboard preparation, automating report preparations from multiple source systems.
Should have worked or has strong inclination to learn Business Intelligence tools, Modelling, Analytics Current and proposed technologies.
CTC: As per industry standard
Salary: As per Industry Standard
Industry: Banking / Financial Services / Broking
Functional Area: Analytics & Business Intelligence
Role Category: Analytics Manager
Role: Analytics Manager