MIM Finance Company Limited (t/a Money in Minutes or MIM) is a UK originated FinTech start-up in the process of launching its exciting products in Nigeria. MIM’s aim is to provide straightforward and instant finance to consumers in a bid to help solve the current access to finance problems in Africa. MIM’s products would also make it possible for low and middle-class earners to acquire white goods and solar energy generating equipment in a bid to resolving the electricity challenge engulfing the continent.
- The Senior Data Analyst will be responsible for interpreting and analysing complex data sets to provide actionable insights that will guide decision-making within our BPO operations. This role requires a strong understanding of data analysis techniques, advanced Excel skills, and proficiency in SQL and analytics tools. You will collaborate with cross-functional teams, including product, operations, and client management teams, to turn data into meaningful insights that improve performance and client outcomes.
Key Responsibilities:
Data Analysis & Reporting:
- Conduct thorough analysis of large and complex data sets from various sources to identify trends, patterns, and insights that support business operations and client success. Deliver regular reports to internal stakeholders and clients with actionable recommendations.
Advanced Data Modeling:
- Design and implement data models and dashboards to facilitate data-driven decision-making. Use predictive modeling, trend analysis, and statistical techniques to uncover key insights and optimize business processes.
Collaboration with Stakeholders:
- Work closely with cross-functional teams (product, operations, client management, and marketing) to understand data needs and provide data-driven solutions. Translate business requirements into actionable data analyses and reporting formats.
Process Optimization:
- Identify inefficiencies within business processes and suggest improvements based on data analysis. Monitor key performance indicators (KPIs) and develop benchmarks for performance evaluation.
Client Data Support:
- Work directly with clients to understand their data requirements, provide insights into their business performance, and deliver custom analytics solutions that align with their goals. Present findings and explain complex data insights in an easily digestible manner.
Data Integrity & Quality:
- Ensure the accuracy, integrity, and consistency of data used for analysis. Conduct regular audits of data sources to identify any discrepancies and take corrective actions when necessary.
Qualifications:
Education:
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. A Master’s degree or relevant certifications (e.g., Certified Analytics Professional) is a plus.
Experience:
- 5+ years of experience in data analysis, with a strong background in the BPO, or service-oriented industries. Proven track record of analyzing complex data sets and delivering actionable insights that drive business improvements.
Skills & Competencies:
- Advanced proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
- Strong analytical and problem-solving skills with the ability to interpret data and translate findings into clear recommendations.
- Excellent communication skills, with the ability to present complex data in a simple and understandable manner for both technical and non-technical audiences.
- Experience with statistical analysis and predictive modeling techniques.
- Knowledge of programming languages.
- Strong attention to detail and commitment to data quality and integrity.
- Ability to work in a fast-paced environment with multiple competing priorities.
- Strong business acumen, with a deep understanding of BPO operations and performance metrics.
- Proven ability to work independently as well as collaborate effectively with cross-functional teams.
- Experience in managing client-facing data reports and presentations.
- Familiarity with data privacy and compliance standards (e.g., GDPR, CCPA).
Method of Application
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