A Business Data Analytics and Research intern plays a crucial role in organizations by leveraging data to drive strategic decision-making, conducting research to identify market trends, and optimizing business operations.
Below are key responsibilities and skills typically associated with this role:
Key Responsibilities:
Data Collection and Analysis
:
Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.
- Use statistical tools to interpret data sets, identifying patterns and trends that inform business decisions.
2.Data Visualization, Reporting and Presentation
:
- Prepare and present detailed reports, dashboards, and visualizations that summarize key data insights and findings.
- Communicate complex data results to non-technical stakeholders in a clear and actionable manner.
- Capacity to develop concept notes and proposals based on market research gaps
3.
Market Research
:
- Conduct qualitative and quantitative research to identify new market opportunities, competitor analysis, and customer preferences.
- Evaluate market conditions, industry trends, and competitors' activities to support business growth strategies.
- Prepare presentations based on market research reports
4.Business Performance Monitoring
:
- Monitor key performance indicators (KPIs) to track business progress and identify areas for improvement.
- Recommend improvements based on data insights to optimize processes, reduce costs, and increase profitability.
5.Collaborating with Teams
:
- Work closely with different departments such as marketing, finance, and operations to align data-driven insights with business objectives.
- Provide support for product development, sales strategies, and customer experience initiatives through data analysis.
6.Data Management
:
- Ensure the accuracy, completeness, and security of data.
- Develop and maintain databases, data collection systems, and strategies for efficient data storage and retrieval.
Key Skills:
1.Data Analytics Tools
:
- Proficient in tools like SQL, Excel, Tableau, Power BI, Google Analytics, and other business intelligence platforms.
2.Statistical Analysis
:
- Knowledge of statistical software (e.g., R, SAS, SPSS) and techniques such as regression analysis, hypothesis testing, and predictive modeling.
3.Research and Excellent Writing skills:
- Strong ability to conduct both primary and secondary research, including surveys, interviews, and literature reviews.
- Capacity to develop report and concepts based on market research reports
4.Problem-Solving
:
- Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.
5.Communication Skills
:
- Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.
6.Attention to Detail
:
- High level of precision in handling large data sets and ensuring data accuracy.
7.Project Management
:
- Ability to manage multiple research projects simultaneously, ensuring timely delivery of results.
Education, knowledge and experience:
- A degree in Agricultural Economics or a related field.
- Experience in management and analysis of data.
- Field experience and synthesis of data and lessons for learning
- Knowledge and savvy of data analysis software, especially Stata.
- Very strong analytical skills and applied statistical experience.
- Good scientific wring experience.