Reporting Analyst

BACKGROUND

About Hatch Africa

Founded in 2010, Hatch Africa is the leading dual-purpose poultry (DPP) company in sub-Saharan Africa and one of the highest impact businesses on the continent. In 2022, the group distributed over 70m dual-purpose day-old chicks (DOCs) to smallholder farmers in Ethiopia, Rwanda, Uganda, Ghana, Kenya, and Ivory Coast through its subsidiaries, thereby making a significant improvement in nutrition and incomes of local populations. The Company has strong ESG practices and has been backed by leading institutional investors.

About EthioChicken

EthioChicken was the first business in Hatch Africa's portfolio, founded in 2010. Today, EthioChicken is a leading distributor of chickens to rural farmers in Ethiopia with a vision to provide one chicken per person per year through smallholder farmers. We are a rapidly growing Company that believes in investing in our employees and offers them opportunities for career advancement and is committed to female empowerment across the company. EthioChicken is anEthiopian based company.

OUR VISION

To provide one chicken per person per year through smallholder farmers.

OUR PURPOSE

To improve the livelihoods of smallholder farmers by providing quality poultry products and services.

Job Summary

We are seeking a highly skilled and experienced Reporting Analyst to be a team player on our dynamic reporting team. Theideal candidate is passionate about using data to inform key business decisions and enjoys going beyond building dashboardsto genuinely analyzing and interpreting data. Experience with Python for data analysis, alongside PowerBI is strongly preferred.

This individual will play a pivotal role in collecting, prioritizing, and designing analytical reports and interactive tools for various business entities and groups. The right candidate is passionate about interpreting data — not just visualizing it — using programming tools such as Python for deeper statistical analysis and interactive reporting, and is comfortable leveraging Large Language Models (LLMs) to accelerate insight generation. This person will work across departments to understand and inform their analytics requirements, and will coach and grow young talent on the team.

This role will also have opportunities to look at data and reporting across all markets of Hatch Africa.

Key Performance Indicators

• Depth and business impact of analytical insight delivered to business leadership — not just time to action reporting

requests (e.g., deploy new reports, make adjustments)

• 99% confidence in data quality by business leadership
• Increased proportion of reporting output that is interpretive and recommendation-driven versus purely descriptive dashboards

Main Duties

• Conduct in-depth data analysis, using Python where appropriate, to extract valuable insights and trends.
• Analyze and interpret data by comparing it to past, current, and future projections, and provide clear, actionable insights to business leadership — explaining not just what happened, but why.
• Apply statistical methods and exploratory data analysis in Python (e.g., pandas, numpy) to validate hypotheses and

uncover drivers behind business performance.

• Design and develop interactive, code-based reporting tools and applications (e.g., using Python frameworks such as

Streamlit or Dash), using PowerBI where it is the most effective medium.

• Apply LLM tools to accelerate data interpretation, generate narrative summaries of findings, and support naturallanguage exploration of data by non-technical stakeholders.
• Collaborate with departments to gather and understand reporting and analytical requirements.
• Translate business needs into clear and actionable reporting and analysis specifications.
• Develop and generate reports, dashboards, and interactive analytical tools to meet business needs.
• Work closely with cross-functional teams to align reporting and analytical activities with organizational goals.
• Provide support and guidance to end-users in interpreting and utilizing reports and analytical output effectively.
• Identify opportunities for process improvement and efficiency in reporting and analytical workflows.
• Stay informed about new reporting tools, programming techniques, and LLM capabilities to enhance analytical

capabilities.

Additional Mandatory Duties

• Ensure the integrity, accuracy, and security of data used in reporting and analytical activities across all reporting

platforms, including Power BI and other analytical tools.

• Collaborate with the Reporting Team Leader to understand, prioritize, and implement reporting and analytics

requirements aligned with business needs.

• Develop and maintain reports and dashboards using appropriate tools, including Power BI for structured reporting

and visualization, and other analytical approaches where deeper analysis and insights are required.

• Participate in training sessions to enhance skills in reporting, data analysis, Python-based analytical techniques, and

emerging AI/LLM-assisted capabilities.

• Contribute to the documentation of reporting and analytical processes, methodologies, and best practices, including

SQL queries, Power BI development standards, Python code, and analytical approaches.

• Stay informed about industry trends and emerging technologies in data analytics, business intelligence, Python

tooling, and AI/LLM applications to continuously improve reporting capabilities.

Qualifications

• Bachelor's degree in a relevant field (e.g., Business, Statistics, Information Technology).
• 1 to 2 years proven experience as a Reporting Analyst or similar role, with demonstrated analytical (not only

dashboard-building) responsibilities.

• Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib/plotly); experience

building interactive, code-based reporting tools (e.g., Streamlit, Dash) is a strong plus.

• Working knowledge of PowerBI, applied selectively alongside programmatic reporting rather than as the default

tool.

• Practical experience or strong interest in applying LLM tools to data interpretation, insight generation, or reporting

workflows.

• Strong attention to detail and problem-solving skills, with the ability to translate complex analysis into clear

business narratives.

• Excellent communication and collaboration skills