Data Analyst at Ona

Key roles and responsibilities

•  Data visualization. Create data tools, dashboards, and management reports, using Ona’s supported data visualization and analysis tools (e.g. Akuko, Superset, QGIS).
•  Analytics engineering. Write queries and data pipelines to extract and combine information across datasets using a variety of technologies and tools (e.g. SQL, DBT).
•  Data collection design. Author XLSForms and/or RapidPro flows for client projects, collaborating with colleagues to minimize downstream data cleaning.
•  Insights development. Provide clients with ad hoc analyses and improvement suggestions for metrics definition, data processing, and data quality.
•  Data cleaning and quality assurance. Perform data cleaning and sanity checks, ensuring that data reported to clients is correct and meets specifications.
•  Database management. Implement database management policies on behalf of clients, in collaboration with other teams.
•  Project collaboration. Communicate project progress in a timely manner, escalating needs with Ona’s project team and senior management team whenever appropriate.
•  Documentation. Develop documentation on solutions, project deliverables, code procedures, and processes for internal and client use.
•  Training. Offer client training on Ona’s core products (e.g. XLSForms authoring, Ona Data Platform usage, Akuko dashboarding, RapidPro flow development).
•  Product innovation. Provide regular input in the development of Ona’s proprietary analytics software, suggesting feature improvements based on client needs.

Capabilities

•  Passionate. Deep passion to improve lives around the world using technology.
•  Curious. Interested in combining data-driven problem solving with an understanding of the relevant domains for our clients.
•  Detail-oriented. Able to consistently deliver correct results, in line with company policies and expectations.
•  Technically-savvy. Robust technical skills in data analysis and data visualization.
•  Doer. Trustworthy in execution and capable of managing complex tasks independently.
•  Open. Open to feedback and proactive in gaining skills and knowledge across new tools and technologies.
•  Fun. A positive attitude and sense of humor will not hurt :) .

Key requirements

Essential

•  Bachelor’s degree in a relevant field, e.g. Computer Science, Data Science, Business Intelligence, IT, Economics, Social Science or Engineering, etc.
•  Experience developing data visualizations, dashboards, and reports using widely-adopted data analytics or business intelligence platforms (e.g. Superset, Tableau, PowerBI).
•  Proficiency with SQL and SQL-inspired declarative query languages, ideally with experience working with large datasets
•  Sharp analytical skills and problem-solving abilities, especially with data forecasting, cleansing and transformations.

Desirable

•  At least 1 year work experience in the data space, e.g. data analysis, consulting, BI, Analytics development, etc.
•  Experience working with data collection software (e.g. Ona Data, Kobo, SurveyCTO).
•  Demonstrated mapping and geospatial analysis skills (e.g. QGIS).
•  Familiarity with database modeling and data warehousing principles.
•  Comfort working with modern cloud database technologies (e.g. AWS, Azure) and with relational as well as non-relational data stores.
•  Software development skills in Python or R.
•  Knowledge of agile project management methodologies and of project management tools (e.g. Wrike, Atlassian, Avaza, GitHub).