Job Title - Data Analyst

Place of Posting - Delhi

Role:

Data Analyst is expected to :

- Do independent research on various topics as per the project requirements.

- Create survey schedules and questionnaires and manage field data teams (if necessary)

- Organize and clean datasets gathered by operations teams

- Analyze the data using various tools and soft wares.

- Produce meaningful insights from the project data.

- Write rigorous reports and policy briefs using the data and field insights.

- Provide research and policy outputs.

Specific Responsibilities

A) Data Acquisition and Preparation:

- Collecting data: Sourcing data from various internal and external sources, including databases, surveys, logs, and APIs.

- Cleaning and pre-processing data: Identifying and correcting data inconsistencies, errors, and missing values to ensure accuracy and completeness.

- Transforming data: Manipulating data using tools like pandas and SQL to structure it for analysis.

B) Data Analysis and Modeling:

- Exploratory data analysis (EDA): Analyzing data to understand its distribution, patterns, and relationships between variables.

- Statistical analysis: Applying statistical methods and tools to identify trends, correlations, and significant differences.

- Modeling: Building predictive models using techniques like regression and machine learning to forecast future outcomes.

C) Data Visualization and Communication:

- Creating visualizations: Designing charts, graphs, and dashboards to communicate data insights clearly and effectively to technical and non-technical audiences.

- Report generation: Writing reports summarizing findings, interpretations, and recommendations based on data analysis.

- Presenting insights: Presenting findings to stakeholders in a clear, concise, and compelling manner.

D) Other

- Data Validation: Ensure data integrity by validating, cross-checking and cleaning the data as needed

- Data Maintenance and Optimization: Responsible for maintaining the health and performance of our databases, as well as optimizing data retrieval and storage processes

- User feedback analysis: Engage with the operations teams to integrate feedback, driving continuous improvement in data visualisation and utility

- Any other assignment given by the senior management

Desirable skills and qualifications

- Masters in data science/statistics/economics with 5-10 years of experience working on primary and secondary datasets with prior experience of data analytics and report writing roles

- Research oriented focus.

- Understanding of statistical concepts

- Understanding of data science and analysis principles

- Analytical skills in picking out and understanding key insights from the data

- Documentation and project management skills

- Excellent communication and leadership skills to deliver data-driven insights at an executive level

- Having knowledge of India's Economy and its challenges.

- Capable of handling large primary datasets / experience working with primary agriculture datasets.

- Knowledge of various data analysis tools like R or Stata.

- Proficiency in SQL and programming skills in Python or R

- Solid experience in and knowledge of Tableau and Microsoft PowerBI, having built your own dashboards

- Well versed with data visualization techniques and soft wares.