Job Location: New Delhi
Key responsibilities would be as under:
i. Manage a team of Associate Consultants to deliver timely data analysis in various assignments.
ii. Understand the data & analytics requirements under various assignments / verticals of NABCONS.
iii. Guiding teams to perform analysis to assess quality and meaning of data
iv. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
v. Analysing local, national, and global trends that impact both the organization and the industry
vi. Preparing reports for the management stating trends, patterns, and predictions using relevant data
vii. Working with management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
viii. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Other duties as assigned from time to time .
Experience:
i. Minimum 9 years of work experience with at least 5 years’ experience in Data Analytics in fields related to Agriculture & Rural Development.
ii. Candidates should have executed minimum 5 data driven assignments over the last 03 years related to the field of Agriculture/ rural development/ Climate Change/ Water Resources Management/ Skill Development/ Environment/ Social Sciences/ Food Technology/ International business/ IT System/ Infrastructure.
iii. Candidate should have demonstrated ability to lead team of Consultants.
Should be energetic with excellent written & oral communication and presentation skills.
Education:
Post-graduation from a recognized institution with minimum 55% or equivalent grade points with first class Graduation in Mathematics, Economics, Statistics, Data Science, Computer Science or Information Management. Certificate / Diploma in Data Analytics / Data Sciences is mandatory Other Criteria:
i. Strong mathematical & statistical skills to help collect, measure, organize and analyse data.
ii. Conversant with programming languages like SQL, Oracle, R, MATLAB, and Python
iii. Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
iv. Knowledge of reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases
v. Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysing
vi. Knowledge of using data processing platforms like Hadoop and Apache Spark
vii. Knowledge of data visualization software like Tableau, Qlik
viii. Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
ix. Problem-solving skills
x. Accuracy and attention to detail
xi. Adept at queries, writing reports, and making presentations xii. Team-working skills
xiii. Verbal and Written communication skills
xiv. Proven working experience in data analysis
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