Associate, Data Analytics

• To support this scale up, PSI seeks an Associate, Data Analytics that will support the analytics functions of the DISC project scale-up across existing and new countries,
• The Associate, Data Analytics that will support the implementation of analytic and visualization tools to conceptualize, develop and build high-quality dashboards and information products.

What You’ll Do:

• Support in synthesis of data user requirements, document data analysis and reporting needs. Identify, map, and perform data quality tests on data sources. Design, build and continuously improve interactive dashboards to enable program teams track key performance indicators, and generate actionable, data-driven insights to manage program performance. 60% of Time
• Support in providing technical assistance and building the capacity of country project teams on data analytics and visualization. Act as the frontline user technical support for country teams to rapidly troubleshoot and solve issues with their data and dashboards. 15% of Time
• Support the development of reports and knowledge products for internal and external dissemination. 15% of Time
• Lead on development of technical documentation including SOPs, user guides, training materials and other related documents. 10% of Time
• Embody PSI’s values: Measurement, Pragmatism, Honesty, Trust, Collaboration, and Commitment.
• 10-25% international travel. 

Time percentages listed above are not exact. They are estimates and may change. This is also not an exhaustive list of all tasks that an incumbent is expected to perform but is instead a summary of the primary responsibilities and requirements of the job. The incumbent may be asked to perform duties not included above. PSI reserves the right to revise job profiles at any time based on changes to the required job responsibilities.

What You’ll Bring:

• Bachelor's Degree (or international equivalent) in computer science, information technology, statistics, or a related field.
• At least 3 years of related experience. Equivalent combination of relevant education and experience may be substituted.
• Strong data management, analytics and data visualization skills.
• Technical proficiency in one or more of these programming languages/tools (R, Python, or SQL).
• Experience using data analysis and visualization tools (e.g. PowerBI, Superset, Tableau).
• Ability to analyze complex issues and solve problems with creativity.
• Ability to operate with limited supervision and latitude for independent judgement to achieve desired outcomes.
• Ability to develop and maintain relationships with internal and external colleagues. Able to work as a member of a team and independently.
• Exceptional interpersonal and communication skills, both verbal and written. Ability to interpret data and explain findings to non-technical audiences.