Data Visualisation Analyst at Tear Fund International

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  • Company: Tear Fund International
  • Location: Kenya
  • State: Nairobi
  • Job type: Full-Time
  • Job category: - Data Science / Research Jobs in KenyaIT/Telecom Jobs in Kenya
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Job Description
Tearfund is a Christian charity called to follow Jesus wherever the need is greatest We work tirelessly to help communities around the world escape the very worst effects of poverty and disaster. And we believe that the same people facing these troubles, also have the best idea as to how they can overcome them. Tearfund listens: helping people to rise out of their poverty, utilising their resourcefulness and determination. Tearfund works alongside local churches and other locally-based organisations to help realise these plans for a better future. Before, you knew us for our droughts, our poverty. But now the poor are transforming this country, and poverty shall no longer be our name. Meseret Kumsa, a Tearfund self-help group member, Ethiopia Tearfund are signatories to the Red Cross Code of Conduct and are certified against the Humanitarian Accountability Partnership Standard.


We are looking for a Data Visualisation Analyst  to join the team at an exciting time as we focus energy and attention on improving the visualisation of Tearfund’s programmatic, evaluation and research data to help evidence our impact.

The role will sit within the Strategy & Impact Group working across the organisation to improve the quality and visualisation of Tearfund’s impact and strategic data for both internal and external audiences.

The Strategy & Impact Group:
  • Develops and supports Tearfund’s corporate strategy and all strategic planning
  • Helps equip Tearfund and partners to demonstrate the impact of the organisation through monitoring and evaluation
  • Gathers evidence to build up a picture of what works best and share information about our impact across the whole organisation

Do you have experience in:

  • Developing data driven infographics with a strong understanding of graphic design fundamentals
  • Data structures and using SQL to retrieve and aggregate data
  • Using PowerBI or other business intelligence tools for organisation wide dashboards
  • Conveying results clearly (orally and in writing) to nontechnical users

Do you have the knowledge and understanding of:

  • Cleaning and verifying relevant sources of data for visualisation
  • Excellent statistics skill
  • Improving the visualisation of data to help display evidence
  • Building colleagues skills in using data for decision making and learning


  • Educated to degree level or equivalent experience working in this area
  • Degree or equivalent experience focused in Data analytics; informatics or data science


  • Proven experience in developing data driven infographics with a strong understanding of graphic design
  • fundamentals.
  • Strong experience and proficiency of business intelligence tools like Power BI for reporting, dashboarding and
  • visualisation purposes
  • Experience of data structures and using SQL to retrieve and aggregate data.
  • Experience in data validation & cleansing
  • Experience communicating results clearly (orally and in writing) to nontechnical users / all levels in organisation
  • Experience working in humanitarian response and/or international development or other public sector is an asset;
  • Experience in Python or R for data cleansing is desirable; specifically Panda or tidyverse.
  • Leading training courses or workshops on data analysis


  • Understanding of SQL queries and database joins
  • Must be able to communicate technical concepts and analysis implications clearly to a wide and senior audience (using excellent written, verbal and presentation skills), and be able to translate business objectives into actionable analysis
  • Excellent analytical skills
  • Ability to work with large amounts of information and see the ‘bigger picture’
  • Comfortable with juggling facts, figures, and number crunching
  • Excellent statistics skill
  • Ability to troubleshoot and solve numerical and technical problems
  • High attention to detail
  • Critical thinking: able to look at numbers, trends, and data and come to new conclusions based on the findings
  • Mentoring or Coaching colleagues on data analysis
  • Ability to influence colleagues and key stakeholders
Method of Application
Submit your CV and Application on Company Website : Click Here Closing Date : 18 April. 2022
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