Need to Have:
R Specific Skills:
- Hands-on R programming Skills is a must
- Knowledge of all basic Packages in R
- Understanding of R Data elements and ability to handle them
- Use of GGplot2 is highly desired
- Use/knowledge of Packages like Car; Rdatamining; Mass; plyR; ff; Lme4; Design ; Foreign etc is highly desirable
- Use/knowledge of creating custom functions and packages is highly desirable
- Should have technical expertise on data models and database design. Understanding of XML/SQL/Python/Perl/Ruby is highly desirable
- Proficient in MS Word, Excel, Access, and PowerPoint
- Experience using R platform is highly desirable for analyzing large datasets
- Object Oriented Programming skills are a must. Should be Adept at queries and report writing.
- Knowledge of statistics, at least to the degree necessary in order to communicate easily with statisticians
- Experience in data mining techniques and procedures and knowing when their use is appropriate
- Ability to present complex information in an understandable and compelling manner
Overall Purpose of Job & Responsibilities :
General Purpose : Provide expertise to acquire, manage, manipulate, analyze, visualize data and report result using the R platform.
Responsibilities:
Daily Operations:
- Identify problematic areas and conduct research to determine the best course of action to correct/integrate various sources of data.
- Check the data for integrity; build data frames and vectors as required.
- Perform various ETL operations on Data Matrices, Vectors and Frames.
- Identify, analyze, and interpret trends or patterns in complex data sets
- Use Basic Statistical Modeling Techniques to generate outputs.
Data Capture:
- In collaboration with others, develop and maintain databases/R Data files necessary for projects and department functions.
- Acquire and abstract primary or secondary data from existing internal or external data sources using R, SQL or ODBC functions.
- In collaboration with others, develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
- Perform data accuracy, imputation and correction as required for various problems.
Data Reporting:
- In collaboration with others, interpret data and develop recommendations based on findings
- Develop graphs, reports, and presentations of project results
- Perform basic statistical analyses for projects and reports
- Create and present quality dashboards
- Generate routine and ad hoc reports
Project Management:
- Work closely with counter parts in US to implement the projects and deliver timely output
- Focus on quality of work and optimize the code on a continuous basis
- Use versioning techniques like GIT for efficient Program Development
Basic Qualifications :
- Total Experience : Min of 3-5 years
- Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
- Strong Business understanding
- Ability to engage in Business discussions
- Bachelor's in Information Management, Healthcare Information, Computing, Mathematics, Statistics, or related fields
- ISP/Telecom background is a plus
- Previous data analyst experience is highly desirable
Didn’t find the job appropriate? Report this Job