Data Analyst at Generation

Job purpose:

• The data analyst will take overall responsibility for providing programmatic data collection, data management, data analysis and reporting. In addition, he/she will monitor data accuracy and completeness and manage all data and analytic requests.

TO BE SUCCESSFUL YOU'LL NEED:
Knowledge, Qualifications and Experience

• Bachelor’s Degree in statistics, information technology, computer science or other relevant training.
• At least 3 years of relevant experience in a monitoring and evaluation, analyst, grant reporting or related role.
• Strong Data management and analysis skills.
• Advanced knowledge of Excel functions, including using functions and formulas, creating pivot tables, visualization, and managing data across multiple files.
• Proficient in statistical analysis packages including STATA/Python/R/Alteryx etc.
• Experience in the use of data visualization tools, such as Tableau and Power BI.

Skills and Abilities

• Excellent oral and written communications skills.
• Ability to manage and hold confidential information.
• Very high attention to detail, and ability to handle multiple projects successfully.
• Proficient with Google and Office365 productivity tools.
• Proficient with MS Office 365 applications.
• Team Player.

WHAT YOU'LL DO:
Data Collection

• Manage end-to-end collection of all program-level data to inform program outcomes and impact.
• Support mentors (super-agents) to capture data to inform mentorship outcomes. This includes data on class attendance, wages earned from freelance and non-freelance work and channels of freelance work.
• Develop and script questionnaires to collect qualitative and quantitative data from program beneficiaries.
• Ensure data collected from program beneficiaries is correctly entered into Salesforce on a regular basis.

Data Quality Monitoring

• Outline and implement data validation procedures to ensure data meets the highest quality metrics.
• Run high frequency quality checks on data and flagging any inconsistencies observed.

Data Analysis and reporting

• Providing all data and analytic support including data cleaning, data management and analysis, resolving data issues and answering any questions.
• Support all program reporting needs, including developing narrative reports for non-technical audiences, creating dashboards and presentations.
• Continuously update and populate program M&E templates to inform of the progress made vis-a-vis targets.
• Act as focal point for all reporting needs and other qualitative and quantitative donor reporting.