Position in: Nigeria
Code for Africa (CfA) has immediate vacancies for a Data Analyst with data analysis and training experience to join our Data Academy team. The candidate should be based in Nigeria.
The Data Academy team spearheads our training partnerships and data analysis/storytelling initiatives. This includes CfA communities such as the WanaData women data science/storytelling network and Hacks/Hackers Africa, and a network of 50+ media and university partners across Africa. The Data Academy is also custodian of other CfA public infrastructure, such as openAfrica, and HURUMap.
The successful candidate will work with the Data Academy team of data analysts and managers to facilitate engagement with CfA’s communities and partners in the region.
- Bachelor’s degree in a quantitative related discipline (e.g. Information Technology, Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or in qualitative discipline (e.g. education, data journalism) or equivalent practical experience.
- 3 years of work experience in data analysis related fields, plus at least one year of experience as a trainer, corporate training specialist, or related position.
- Have the ability to work creatively and accurately under pressure with excellent attention to detail.
- Good interpersonal skills and communication with all levels of management.
- Organised and able to create multiple timelines and schedules.
- Ability to multitask, prioritise, and manage time efficiently.
- Excellent leadership, team-building, and self-management skills.
- Excellent verbal and written communication skills.
- Master’s degree in any quantitative research/data analysis related disciplines.
- Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Applied experience with machine learning on large datasets.
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas, or equivalent) and database languages (e.g., SQL, NoSQL, etc.)
- Demonstrated leadership and self-direction. Willingness to teach others and learn new techniques.
- Relationships with universities and media houses are a plus.
Language and Location Requirements:
- Location: Nigeria
- Languages: English
- Preferred but not required: French
About the Role
The successful candidate will join CfA’s Data Academy team and will be responsible for running data journalism and technical training for partner newsrooms, universities and local community events in Nigeria and (virtually) elsewhere on the continent.
You will also help produce transnational digital projects, on a range of social justice topics, by assisting partners with data research and data collection/liberation, data analysis and wrangling. You will work with specialist CfA teams to help partners transform their data into visualisations or storytelling.
And, you will then help partners share their insights and new skills, via community meetups and peer-support networks, as well as through presentations at workshops/webinars. Other aspects of your training duties will include customising CfA courseware to include local examples, and presenting curricula at local events/universities.
The candidate should have a strong strategic analysis and critical thinking skills, as our projects are varied and fast-paced, so you need to quickly understand and learn new things. You will need to possess a keen attention to detail and a good eye for both quality and aesthetics. You should be comfortable handling multiple tasks with multiple ongoing deadlines, and should have previous experience working on the digital collaboration tools that CfA uses, such as Slack, Google Drive, and Trello.
Responsibilities: Your daily responsibilities will include:
- Schedule, manage and run training sessions with university and newsroom partners under the supervision of the Academy project managers.
- Create weekly and monthly reports for Academy project managers
- Train at and support WanaData, Hacks/Hackers and other Academy events.
- Track and compile data collected about participants and the impacts of the training sessions.
- Create training strategies, and initiative, including conceptualising and developing training materials.
- Support the CfA’s data research, wrangling and visualisation processes and tasks to improve CfA’s products, content and brands with other wranglers and designers.
- Work with journalists and developers from across the continent to design and build engaging static and interactive visualisations and tools.
- Research and mine datasets to create impactful analyses and visualisations on CfA’s key topics.
- Produce maps, satellite images, charts, infographics, data visualisations and other dataviz components for stories, microsites and publications.
- Work proactively and think critically to improve data and design components of tools and stories created by the team.
- Train and advise CfA’s key stakeholders and partners on the use of data and tech to amplify their impact.
What We Offer:
- A competitive salary, subject to experience, with opportunities for performance-based growth, both in terms of career path and public stature.
- A dynamic workplace, with a transnational team, occasional international travel, and generous vacation benefits.
- Ongoing opportunities to learn new cutting-edge skills and techniques/technologies to future-proof yourself in a rapidly evolving industry.
- A chance to shine on a global stage, writing for international audiences and interacting with colleagues around the world.
How to apply:
Please complete this form by Friday 22 January 2021
Code for Africa (CfA) is the continent’s largest network of indigenous African civic technology and investigative data journalism laboratories, with over 70 staff in 19 countries, who build digital democracy solutions that are intended to give citizens unfettered access to actionable information that empowers them to make informed decisions and that strengthen civic engagement for improved public governance and accountability.
This includes building infrastructure such as the continent’s largest open data portal, open.AFRICA, and largest open source civic software portal, commons.AFRICA, as well as the largest repository of investigative document-based evidence, source.AFRICA, as well as incubating initiatives as diverse as the africanDRONE network that gives citizens their own ‘eyes in the sky’, the PesaCheck fact-checking initiative in 12 African countries, and the sensors.AFRICA remote-sensing citizen science initiative to combat air/water pollution.
CfA also incubates the African Network of Centres for Investigative Reporting (ANCIR), as an association of the continent’s best investigative newsrooms, ranging from large traditional mainstream media to smaller specialist units. ANCIR member newsrooms investigate crooked politicians, organised crime and big business. The iLAB is ANCIR’s in-house digital forensic unit, with teams in east, south and west Africa. ANCIR uses its resources to strengthen newsrooms’ own internal capacity, by providing access to the world’s best whistleblower encryption and investigative semantic analysis technologies, as well as skills development, and seed grants for cross-border collaboration.
At CfA, we don’t just accept differences – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. CfA is proud to be an equal opportunity workplace and is an affirmative action employer. If you have a disability or special need that requires accommodation, please let us know.
To all recruitment agencies: CfA does not accept agency resumes. Please do not forward resumes to our employment application line, CfA employees or any other CfA contact. CfA is not responsible for any fees related to unsolicited resumes.