Job Overview

The Data & Research Analyst is responsible for designing and conducting research, analyzing qualitative and quantitative data, and generating actionable insights to measure ifarmer's impact and support strategic decision-making. The role develops research methodologies, manages data quality, prepares impact reports, and collaborates with cross-functional teams to drive evidence-based improvements across the organization.

What You’ll Do:

• Define comprehensive metrics and measurement approaches that capture the impact of ifarmer's operations.
• Develop comprehensive research plans - detailing the methodological approach.
• Design data collection methodology and survey questionnaires that effectively capture the necessary data for analysis.
• Perform secondary research efficiently, synthesizing key facts and insights from relevant sources.
• Document qualitative and quantitative data in a structured manner while maintaining thorough pre and post-processing strategies.
• Apply advanced data cleaning techniques to remove errors, inconsistencies, missing values or anomalies in the data.
• Conduct thorough data analysis and interpreting the results using statistical testing in alignment with the research objectives.
• Implement data-driven forecasting methodologies and communicate actionable insights to stakeholders.
• Work with the team to strategize and independently produce well-structured assessment reports representing the impact of the organization.
• Strategize with the team to find significant gaps in previous approaches and plan accordingly to bring innovative solutions to drive greater impacts by the organizations.

What We’re Looking For:

Education: Master's/Bachelor's degree in Economics, Statistics, Data Analytics, Business Analytics or any relevant engineering.  

Experience: Minimum 2 years of relevant working experience involving research, assessments, data analysis, business growth performance and reporting. 

Technical skills:  

• Must be able to portray skills of compiling and analyzing qualitative data.
• Must be able to enlighten the team with trends and projections by analyzing data, using advanced statistical tools.
• Excellent in data management.
• Must be familiar with developing and managing dashboards.
• Prior experience of providing statistical and methodological support in conducting hypothesis tests and RCTs will be an added advantage.

Other attributes 

• Must be able to meet deadlines and engage in multiple priorities.
• Excellent verbal and written communication, both in English and Bangla.
• Having prior experience in field research activities will be advantageous.
• Excellent planning, analytical, organizational, critical thinking, investigative and decision making skills.

Technical skills:  

• Must be able to portray skills of compiling and analyzing qualitative data.
• Must be able to enlighten the team with trends and projections by analyzing data, using advanced statistical tools.
• Excellent in data management.
• Must be familiar with developing and managing dashboards.
• Prior experience of providing statistical and methodological support in conducting hypothesis tests and RCTs will be an added advantage.

Other attributes 

• Must be able to meet deadlines and engage in multiple priorities.
• Excellent verbal and written communication, both in English and Bangla.
• Having prior experience in field research activities will be advantageous.
• Excellent planning, analytical, organizational, critical thinking, investigative and decision making skills.