Data Analyst

Job Title – Data Analyst

Place of Posting – Delhi

• 
  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

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.

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.
  

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.

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.
• 
  Embody BYST’s mission, vision, and values