Data Analyst at Enhancing Financial Innovation & Access (EFInA)

Enhancing Financial Innovation & Access (EFInA) is a financial sector development organization that promotes financial inclusion in Nigeria. Established in late 2007, our vision is to be the leader in facilitating the emergence of an all-inclusive and growth-promoting financial system. EFInA is funded by the UK Government’s Department for International Development (DFID) and the Bill & Melinda Gates Foundation.

We are recruiting to fill the position below:

Job Title: Data Analyst

Loaction: Lagos

Job Description

• We are looking for an innovative and goal-driven individual to join our research team. This individual will work closely and report to the Head of Research.
• Everything we do, everyday in more ways than one, helps to make a unique contribution to people’s lives and the economy at large through financial inclusion.
• Are you passionate about data, fact-finding, numbers, economic development and sustainability? Then this is the job for you!!!

Job Objectives
Data Analysis and Reporting:

• Analyse data from internal and external sources using a variety of methods
• Develop and execute data analytics research plans, developing analytical tools as needed
• Produce relevant descriptive statistics, segmentation analysis of patterns and trends, and inferential statistics
• Where possible, combine analysis of multiple datasets to identify relevant insights
• Synthesise key findings and insights that can be used to drive financial inclusion
• Prepare presentations and reports to communicate research findings effectively
• Use a variety of methods to communicate information, including visual/graphical representations of data
• Lead briefings on emerging trends in the data, new strategic opportunities and the synthesis of data across EFInA’s strategic areas

Data Collection:

• Identify and source relevant external datasets, through desk research and engagement with stakeholders
• Assess the quality and limitations of internal and external datasets
• In conjunction with colleagues on the Research team, manage EFInA’s research projects, including planning research projects, developing Terms of Reference documents, selecting vendors, overseeing development of research tools, and supervising research activities to monitor for high quality standards and timely delivery
• Support the research team in developing questionnaires and other research tools that will yield high-quality, useful data
• Participate in data weighting and/or supervise partners, such as the National Bureau of Statistics, in weighting data

Strategic Planning:

• Provide input to EFInA’s research strategy and annual activity planning
• Stay abreast of topics relevant to inclusive finance, including but not limited to digital financial services and FinTech, agent networks, etc.
• Keep up to date with new developments in research methodology

Stakeholder Engagement:

• In conjunction with the Head of Research and other EFInA colleagues, support the capacity building of stakeholders in the Nigerian financial sector (regulators, financial service providers, etc) to use data effectively in ways that can contribute to financial inclusion
• When needed, deputise for the Head of Research, which may include attending internal and external meetings, overseeing the work of the research team, and acting as an effective ambassador for the team and the organisation more broadly
• Develop strong and effective working relationships with a range of external partners including research firms, regulators, universities, and partners undertaking research assignments for EFInA
• Make presentations to internal and external stakeholders on research findings

Risk Management:

• Ensure that any data collected, analysed and/or shared whilst performing these duties is handled in line with relevant data protection laws, regulations and policies
• Help EFInA adhere to data privacy standards and legal requirements by establishing data management policies/procedures, and helping staff across EFInA understand these policies and procedures

Qualifications, Skills & Experience
Essential:

• Bachelor's Degree in Statistics, Economics, or a social science (or related subject) from a reputable institution
• Master’s Degree in Statistics, Development Economics, or related field, from a reputable institution
• Minimum four years (post NYSC) work experience
• Experience scoping, designing and delivering research, including identifying, developing and testing appropriate tools and reporting methods
• Excellent analysis skills with a strong ability to work with large quantitative datasets, conduct segmentation and trends analysis, identify key themes in complex material, test interpretation and ensure that messages are relevant to practice and policy contexts
• Confident working with multiple types of datasets, including survey data
• A sound understanding of statistics and extensive experience conducting statistical analyses using software such as SPSS
• Experience developing reports and building dashboards, and experience using (or enthusiasm to learn about) data visualisation and analytics tools
• Confident identifying and communicating implications from data, and presenting them in a range of formats to both specialist and non-specialist audiences
• Experience leading projects, including scoping requirements, forward planning, monitoring progress against delivery, identifying and mitigating risks to delivery
• Experienced team worker, comfortable working with colleagues and stakeholders from different disciplines
• Ability to meet tight deadlines in a fast-paced environment
• Willingness to travel
• Ability to deliver results independently with low levels of supervision
• Very high level of attention to detail and accuracy
• Strong verbal and written communications skills
• Good interpersonal skills

Desirable:

• Experience conducting or managing primary research (quantitative and qualitative) and experimental design
• Familiar with the body of evidence relating to financial inclusion
• Prior experience teaching others to analyse and use data effectively
• Strong presentation skills

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online