Data Analyst

We are seeking a highly skilled and experienced Data Analyst to support our SME programs. The Data Analyst will be responsible for configuring and analyzing enterprise-level data and core SME metrics for program graduates. The Data Analyst will work closely with the Product Operations Manager, M&E team, Senior Data Engineer and Data Visualization Specialist to ensure that data is accurately captured, cleaned, validated, and analyzed to support decision-making and program improvements.This role is critical for data management, including solid processes to capture, clean, validate, and analyze key financial metrics.

This is a chance for an outstanding learning data practitioner to be part of Africa’s transformation, and to help shape, build and scale one its most innovative social businesses.

Requirements

• Excellent written and verbal communication skills in English, with the ability to convey complex information in a clear and concise manner.
  
• Experience using Google Sheets.
  
• Strong analytical skills and proficiency in using statistical software such as SPSS,STATA,or R.
  
• Strong interpersonal and team management skills, with the ability to work effectively in a multicultural environment.
  
• A commitment to AMI’s values of excellence, innovation, and accountability.
  
• Self-motivated and able to take full ownership of own deliverables.
  
• Willing to learn and collaborate with peers and internal stakeholders at AMI.
  
• Thrives in a fast-paced, entrepreneurial environment.
  
• Absolutely rock-solid integrity  
  

Qualifications & Experience

• Bachelor's degree in statistics, data science, economics, or related field. Master's degree preferred.
  
• At least 3 years of experience in data analysis, with demonstrated experience in managing and analyzing large datasets.
  
• Experience in data management, including data cleaning, validation, and analysis.
  
• Familiarity with data visualization tools, such as Tableau or Power BI.
  
• Experience in the SME sector or in analyzing financial metrics is an added advantage.
  

BenefitsWhy join us

• A high-impact, diverse and ambitious team with common values
  
• Be the best: We work really hard, are proud of what we do, and love delighting our clients with quality.
  
• Own it: We step up to the task, never pass the buck and hold ourselves accountable for delivering results.
  
• Push the limits: We ask why, embrace failure and try new things. We never settle.
  
• Do what’s right: We act with integrity, confront dishonesty, treat people fairly and strive to contribute to the greater good
  
• Always care: We don’t do ego – it’s always ‘team before me’. We are kind, we celebrate each other’s success, and we care enough to give honest feedback.
  

A dynamic office & team life:

• Brand new offices in Westlands, Nairobi
  
• Monthly team social events and yearly offsite
  
• Regular learning and coaching opportunities
  

We are seeking a highly skilled and experienced Data Analyst to support our SME programs. The Data Analyst will be responsible for configuring and analyzing enterprise-level data and core SME metrics for program graduates. The Data Analyst will work closely with the Product Operations Manager, M&E team, Senior Data Engineer and Data Visualization Specialist to ensure that data is accurately captured, cleaned, validated, and analyzed to support decision-making and program improvements.This role is critical for data management, including solid processes to capture, clean, validate, and analyze key financial metrics.

This is a chance for an outstanding learning data practitioner to be part of Africa’s transformation, and to help shape, build and scale one its most innovative social businesses.

Requirements

• Excellent written and verbal communication skills in English, with the ability to convey complex information in a clear and concise manner.
  
• Experience using Google Sheets.
  
• Strong analytical skills and proficiency in using statistical software such as SPSS,STATA,or R.
  
• Strong interpersonal and team management skills, with the ability to work effectively in a multicultural environment.
  
• A commitment to AMI’s values of excellence, innovation, and accountability.
  
• Self-motivated and able to take full ownership of own deliverables.
  
• Willing to learn and collaborate with peers and internal stakeholders at AMI.
  
• Thrives in a fast-paced, entrepreneurial environment.
  
• Absolutely rock-solid integrity  
  

Qualifications & Experience

• Bachelor's degree in statistics, data science, economics, or related field. Master's degree preferred.
  
• At least 3 years of experience in data analysis, with demonstrated experience in managing and analyzing large datasets.
  
• Experience in data management, including data cleaning, validation, and analysis.
  
• Familiarity with data visualization tools, such as Tableau or Power BI.
  
• Experience in the SME sector or in analyzing financial metrics is an added advantage.
  

BenefitsWhy join us

• A high-impact, diverse and ambitious team with common values
  
• Be the best: We work really hard, are proud of what we do, and love delighting our clients with quality.
  
• Own it: We step up to the task, never pass the buck and hold ourselves accountable for delivering results.
  
• Push the limits: We ask why, embrace failure and try new things. We never settle.
  
• Do what’s right: We act with integrity, confront dishonesty, treat people fairly and strive to contribute to the greater good
  
• Always care: We don’t do ego – it’s always ‘team before me’. We are kind, we celebrate each other’s success, and we care enough to give honest feedback.
  

A dynamic office & team life:

• Brand new offices in Westlands, Nairobi
  
• Monthly team social events and yearly offsite
  
• Regular learning and coaching opportunities
  

• Develop and implement data management processes for capturing, cleaning, validating, and analyzing key financial metrics for SME program graduates.
  
• Configure and analyze enterprise-level data to support strategic decision-making and program improvements.
  
• Collaborate with the data team to design and build learning analytics and impact dashboards in AMI's data warehouse.
  
• Ensure data quality and integrity by implementing robust data quality assurance procedures.
  
• Provide technical assistance to program staff on data-related issues, including training and mentoring on data management and analysis.
  
• Develop and maintain data documentation, including data dictionaries, metadata, and data models.
  
• Contribute to organizational learning by sharing data analysis best practices, lessons learned, and success stories.