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Business Intelligence Analyst

M-KOPA
Full time
Apply by 06 August 2020

Job description

ROLE SUMMARY

We are hiring for a dynamic individual who will have a key position in M-KOPA Strategy and Data team. The Business Intelligence (BI) Analyst uses M-KOPA’s strong internal data resources to uncover and share insights and inform business decisions throughout the company. The Analyst combines technical skills, creativity, and business acumen to improve our understanding of the company, produce operational improvements, and increase transparency and accountability. Analytic findings and recommendations are communicated clearly and concisely to the business, with follow-on support to ensure the proper measurement and evaluation.

SPECIFIC RESPONSIBILITIES

  • Lead analytics for a specific function of the business (i.e. Sales, Upgrades, Customer Care, Credit)
  • Proactively identify opportunities where analysis can drive valuable business results
  • Collect user requirements on key analytic/reporting needs from key business stakeholders
  • Query data from various internal and external databases using database languages (e.g., SQL, U-SQL)
  • Clean, interpret, and analyze data using statistical techniques
  • Build models, analysis, and transformations on internal data using Excel, SQL and R
  • Test and QA code to ensure high-quality analysis
  • Design user-friendly, clear, and impactful presentations of analytic findings
  • Improve and streamline technical and business processes
  • Train stakeholders throughout the business to improve data fluency
  • Work together with the business to ensure we are enabling data-driven decision making on the most important business questions

EXPERIENCE AND SKILLS

  • 2+ years’ experience working in technical data analytics, with excellent skills in SQL and preferred skills in advanced analytical, statistical, and/or programming skills, including R, Python, DAX, Excel, and data visualization tools (e.g. PowerBI, Tableau)
  • Career passion and if possible, education background preferred in Statistics, Mathematics, Computer Science, Economics or related field
  • Strong preference for candidates based in or with strong experience working in the markets M-KOPA works in or similar markets
  • Preference for candidates who have worked directly delivering data driven insights and analysis from Artificial Intelligence and Machine learning data science models
  • Excellent communication skills and ability to work and equal ability to influence executives across cross-functions and geographies
  • Experience and a high capacity in managing multiple problems and assignments at the same time and delivering high quality outputs
  • In-depth knowledge of business effectiveness tools

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About M-KOPA

At M-KOPA, our aim is to increase access to life-improving technologies at huge scale. We do this through an innovative credit model – pay-as-you-go asset financing – of which M-KOPA was an early global pioneer. With offices in Nairobi, Kampala, Lagos, and London, M-KOPA serves over 1 million low-income households in Sub-Saharan Africa. Since its commercial launch in 2012, M-KOPA has made its name in off-grid solar power, providing customers with solar panels and solar-powered lights, televisions, radios, fridges, and more – this is often our customers' first access to electricity.

M-KOPA's affordable credit model can also be applied to assets beyond off-grid solar power, and in 2019, we began providing credit for smartphones, which enables our customers to move from feature phones to smartphones and improve their connectivity, communication, and information access. Today, smartphone financing is a rapidly growing business line – with enormous opportunities for innovation and increasing our customer impact. 

M-KOPA currently employs over 1,000 full-time staff across its operating countries. We value progress, innovation, pragmatism, collaboration, and – most of all – our customers. We have been well recognised for our pioneering business model and scale.

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Learn more about M-KOPA and see other open jobs on their career page.

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