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Jobs and Vacancies in M-KOPA, Nairobi, Kenya

About M-KOPA Solar: M-KOPA Solar, headquartered in Nairobi, Kenya, is the global leader of "pay-as-you-go" energy for  off-grid customers.  

Since its commercial launch in October 2012, M-KOPA has connected more than 250,000 homes in Kenya, Tanzania and Uganda to solar power, and is now adding over 500 new homes each day. 

The success of M-KOPA (M= mobile, KOPA= to borrow) stems from making solar products affordable to low-income households on a pay-per-use installment plan. 

Customers acquire solar systems for a small deposit and then purchase daily usage "credits" for US $0.45, or less than the price of traditional kerosene lighting.  After one year of payments customers own their solar systems outright and can upgrade to more power. 

All revenues are collected in real-time via mobile money systems (such as M-PESA in Kenya) and embedded GSM sensors in each solar system allow M-KOPA to monitor real time performance and regulate usage based upon payments.  

This connected design means that M-KOPA is processing vast amounts of data (i.e. over 10,000 mobile payments per day) via the company's proprietary cloud platform, M-KOPAnet.

As of May 2015 M-KOPA employs over 650 full time staff across East Africa and sells through a network of 1,000 direct sales agents. It has also commenced licensing its technology to partners in other markets.  

M-KOPA has been recognised for its pioneering business mode and scale, notably winning the 2015 Zayed Future Energy Prize, being selected as the top New Energy Pioneer at the 2014 Bloomberg New Energy Finance awards and earning the 2013 FT/IFC Excellence in Sustainable Finance Award. 

M-KOPA is seeking:
 
Position Title: Data Scientist
 
Location: Nairobi, HQ Office
 
Position Start: As Soon As Possible 
 
Reporting to: Head of Data
 
Overall Purpose: An experienced Data Scientist with strong business acumen, a talent for exploring data, and an ability to blend qualitative and analytical skills to solve business problems.
 
The Data Scientist will work with multiple teams in the development and implementation of predictive, diagnostic and prescriptive analytics


Role Profile
 
Key Accountabilities
  • The Data Scientist will lead discussions with teams cross functionally on analytics-driven outcomes, as well as leading in the development, and operationalization of statistical projects, which will involve large, disparate, complex data sets. 
  • The aforementioned teams will include engineers, data analysts, software developers, and business users from all departments.
  • Building mathematical models and data models, manipulate data, create diagnostic, predictive, and prescriptive statistics to describe a situation and make recommendations for action.
  • The Data Scientist will act as a thought-leader within the organization, sharing and communicating analytical best practices to others within and outside of the immediate team
  • Work with a variety of data sources from flat files, RDBMS, and “big data” sources to identify the necessary data elements, determine analysis opportunities, and apply data mining techniques to explore the data.
  • Leverage proven written and oral communication skills to convey complex issues to executive level management in a simple and straight forward manner.
  • Work with the Business Intelligence team to continuously enhance our data warehouse to address a variety of use cases across the enterprise.
  • Work in an Agile environment, delivering interim solutions quickly and continuously exploring ways to improve our results
  • Actively seek out new potential problems to solve, assist in building out our future roadmap while simultaneously executing our present analyses
  • Creating Excel and PDF-based reports
Job Requirements
  • Required: 5+ years of hands-on experience performing analytics, data mining and modeling
  • Required: Advanced SQL skills (data modelling, TSQL or equivalent)
  • Required: Advanced SQL skills. Experience with writing complex SQL queries as well as extensive experience working with relational and dimensional data models
  • Required: Advanced Excel skill; writing macros and demonstrable knowledge of Excel’s BI capabilities.
  • Required: Familiarity with a data analysis programming language (e.g. Python, R)
  • Comfortable working in cross functional groups, supporting multiple business clients, and presenting to Senior Executives of varying levels of technical understanding.
  • Strong affinity for Mathematics, Statistics and Data visualization
  • Experience working with Visualization software such as Tableau, Power Bi, QlikView, etc
  • Experience deploying machine-learning techniques on an enterprise-scale
  • Ability to blend qualitative and analytical skills, problem solving and strategy consulting with a strong bias to action.
Nice to have:
  • Experience in open source programming languages such as R for large scale data analysis
  • Experience with Hadoop environment, Pig, Hive, Map Reduce programing, other Hadoop services.
  • Experience with scripting language such as JavaScript, Unix Shell programming
Personal traits
  • Strong business acumen and ability to translate data patterns to business processes.
  • Be a collaborative teammate, sharing knowledge and learning from others while working through complex problems
  • Always on the look-out for the next challenge. The ideal candidate will be curious to explore, and always asking “why”.
Remuneration: Competitive, covering a monthly salary, performance bonus and medical benefits reflective of the candidate’s experience and skills.

Position Title: Data Operations Lead
 
Location: Nairobi, HQ Office
 
Position Start: As Soon As Possible 
 
Reporting to: Head of Data
 
Overall Purpose: Primarily responsible for designing, testing and executing one-off and regularly run SQL scripts and query packages to extract data from SQL server databases ready for production of data visualizations. 

Part of this function involves ensuring that data quality, integrity and completeness is maintained or improved and that duplicate entities & errors are identified, removed and/or corrected.


Role Profile
 
Key Accountabilities
  • Actively work on routine and ad hoc data and business projects involving querying from the data warehouse.
  • Liaise with the Head of BI and BI Lead Architect on the construction of data extraction queries, reports and automations to ensure compliance with quality standards and established methods.
  • Take ownership of production and testing of data operations reports using provided data sources and tools (SQL Server, PowerQuery, PowerPivot.)
  • Working closely with the BI developer team to ensure that all ongoing development meets the business user requirements.
  • Work with data owners to verify and obtain approval that any transformed data retains its accuracy.
  • Execute one off data extraction and manipulation jobs as required.
  • Work closely with the database administrator to validate any scripts produced and understand the performance impact on the source databases.
  • Training data operations team members on SQL querying and the use of data extraction and visualization tools.
  • Ensure that any data integrity issues are reported immediately and summarized weekly to the relevant HoDs, and others authorized to receive this information.
  • Provide and follow up on system requirements to improve data collection and accuracy
  • Maintain and update automated reports in liaison with the data analysts
  • Work closely with data scientists to solve business projects.
  • Any other tasks as directed by HoD Data Operations.
Skills, Knowledge, Qualifications Required
 
Mandatory Technical:
  • Practical experience in Microsoft SQL Server (2008, 2012) and Transact SQL
  • Practical experience in Microsoft Excel 2013 for data visualization
  • Practical experience in Microsoft Excel 2013 for accessing external data sources
Ideal Technical:
  • Experience in database query performance analysis and optimization
  • Experience in Microsoft PowerQuery
  • Experience in Microsoft PowerPivot
  • Experience in writing DAX formulae
  • Achieving Results – Be aware of key business and team objectives and ensure that these are applied appropriately to all business activities
  • Building Relationships – Able to develop effective relationships with BI team, Data Operations, Developers, IT and other business users
  • Customer Focus (internal) – Able to anticipate and understand customer expectations, and ensure that customer requirements are met and expectations appropriately managed. Able to build solid relationships with team members and internal customers.
  • Communication – Effective written and verbal communication skills suited for technical audiences, peers, IT management, data users and consumers.
  • Planning and Organizing – Effective at planning and managing own workload and ability to split time between reactive tasks and planned project work.
  • Teamwork – Effective at contributing towards the objectives of a team, and being able to share knowledge, experience, ideas and information. Aware of the needs, objectives and constraints of those in other disciplines and functions.
  • Problem Solving and Decision Making – Effective at solving problems in a measured and creative way. Proactive in relation to identifying and undertaking activities that are of benefit to the business. Effective at balancing long and short term objectives. Responsible for own decisions and actions.
  • Influencing and Impact – Act in a professional manner, and exhibit the required behavior that should provide an example to other employees. Needs to be able to identify tasks outside of own remit and work with peers to ensure an end to end solution is effectively delivered. Must be prepared to meet business goals and respond well to change.
Personal Attributes / Functional Competencies:
  • Qualifications – Qualified with a relevant technical qualification and/or relevant professional experience.
  • Technical – In depth expertise in Transact SQL, MS Office Pro Plus.
  • Experience – At least 3 years working with databases, two years of which should have involved T-SQL,
  • Skills – Expertise in T-SQL, SQL Server, ETL tools, Data conversion, Data De-duplication, Data Cleansing methodologies
  • Analytical Thinking – Effective at understanding a problem and developing one or many approaches to solving the problem.
  • Task Focused – Ability to concentrate on tasks and finish tasks avoiding distractions
  • Stress Handling – Retaining objectivity and proper understanding of a problem when placed under stress
  • Applying standards – Ability to follow, adopt, recommend and promote standards regarding the use of data querying and visualization tools and regularly run SQL jobs.
  • Industry Developments – Must take the initiative to ensure that technical knowledge relevant to this role stays current and in line with industry developments.
Remuneration: Competitive, covering a monthly salary, performance bonus and medical benefits reflective of the candidate’s experience and skills.

How to Apply
 
To apply, send an updated detailed copy of your CV and a cover letter expressing why you feel you would be an excellent candidate for the role to careers@m-kopa.com with the subject EV-DOL-2063

Deadline for applications is noon on Wednesday 10th February, 2016.
 
Please Note: Due to the large number of applications received by us, we regret that you will not be contacted unless you are short listed for the post and invited for an interview. 

Therefore, if you have not heard from  M-KOPA within 4 weeks of the date of the deadline your application, you should assume that you have not been successful on this occasion.

This measure has been taken in the interests of efficiency and cost effectiveness and we apologize for any inconvenience this may cause.

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