Summit Recruitment and Search Africa is a leading Recruitment and Executive Search agency head quartered in Kenya providing outstanding talent to a wide range of companies and NGOs in various business sectors across Africa.
Our client, a dynamic Fintech Company based in Nairobi is seeking to Â Business Intelligence Analyst. The successful candidate will interface with multiple departments and initiatives spanning risk and compliance, digital product, finance, customer success, and business operations. He/she will have an opportunity to play a key role in the support and implementation of the Companyâs data strategy, as well as supporting the development and maintenance of the companyâs data warehouse, dashboards, and analytical capabilities that support day to day decision making at all levels. The ideal candidate Must be a starter, fast learner, and have an ability to work both independently and as part of multiple, fast-paced, cross functional teams.
Key Responsibilities:Support in maintaining the data integrity and ongoing quality control of the companyâs data warehouse and source data spanning operations in multiple countries. Support in maintaining the companyâs dashboards used for day-to-day operations and decision making, including creating new data visualizations and analytical reports. Use advanced analytical techniques to create automated solutions to connect data sources, extract, transform and structure data to support continuous monitoring of operations, risk and compliance, customer success, finance, and digital product. Identify process gaps and develop solutions to increase adherence to the companyâs SOPs Support with cross functional stakeholders to evaluate, recommend, and design new data solutions, analytical tools, and processes for improved data collection and aggregation Anticipate internal stakeholder needs and identify new business and technology requirements Lead and design deep dive research projects, including support for ad-hoc analytical projects and strategic initiatives Train company staff and personnel on how to use and interpret data presented within analytical platforms
Qualifications:Bachelorâs Degree (Computer Science, Engineering, Economics, or a related field preferred) 1-2 years of data analytics, data visualization and data manipulation experience 1+ years experience with financial products, product pricing, and portfolio analysis 1+ years experience working in the finance and banking sector. Experience with data visualization tools including Tableau, Power BI, etc. Experience with Python and SQL scripting Some experience identifying and structuring metrics, visualizations, and research projects based on business needs, requirements, and goals. Some experience with data manipulation and data management best practices Advanced level of proficiency with Microsoft Excel, including experience with VBA Ability to work both independently and as part of large, cross functional teams where competing demands must be carefully prioritized and managed Some ability to present information and analysis in a credible, confident, and influential manner
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