Senior Analyst- Data Intelligence job at Indsafri
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Senior Analyst- Data Intelligence
2026-06-04T14:32:10+00:00
Indsafri
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_8838/logo/indsafri.jpg
FULL_TIME
kenya
kenya
00100
Kenya
Professional Services
Computer & IT, Business Operations, Science & Engineering
KES
MONTH
2026-06-10T17:00:00+00:00
8

Role Overview

The role holder should have expertise in strategic evaluation, business storytelling, and advanced analytics to play a pivotal role in transforming data into actionable business insights. The successful candidate will deeply understand business bottlenecks, leverage data evaluation techniques, and effectively communicate complex evaluation to both technical and non-technical stakeholders. This role requires a strong ability to bridge the gap between business strategy and technology.

What you will be expected to do:

  • Develop and execute advanced analytics solutions and statistical evaluation to solve complex business problems
  • Apply A/B testing, regression evaluation, hypothesis testing, and other statistical methodologies to validate business strategies and enhance strategic choice.
  • Work with senior managers to identify strategic opportunities and guide data-guided choices.
  • Design and develop impactful dashboards and reports using tools like Tableau, Looker, or Power BI, enabling stakeholders to make informed choices.
  • Serve as a trusted advisor by applying a deep comprehension of business operations to recommend strategies that drive growth, operational improvements, and teamwork.
  • Drive the development and monitoring of key performance indicators (KPIs) and dashboards, ensuring alignment with business goals.
  • Leverage a strong comprehension of business processes to provide recommendations on optimizing operations and improving outcomes.
  • Partner with engineering teams to design and optimize data pipelines and workflows.

You might be a strong candidate if you have:

  • A bachelor's or master's degree in data science, business evaluation, computer science, or a related quantitative field.
  • 4+ years of experience in business intelligence, strategic evaluation, or a similar role, with a proven track record of driving business outcomes through data insights.
  • Proficiency in SQL and Python for data evaluation and modelling.
  • Solid comprehension of machine learning techniques and their application in solving business bottlenecks.
  • Expertise in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
  • A strong business mindset with the ability to comprehend and address cross-functional business bottlenecks and strategic opportunities.
  • Strong statistical comprehension and the ability to apply statistical methods to solve business problems and inform strategic direction.
  • Exceptional storytelling and communication skills, with a demonstrated ability to convey insights to both technical and non-technical audiences.

What Company Offers (in addition to compensation and statutory benefits):

  • Professional growth in a dynamic, rapidly expanding, high-social-impact industry
  • An open-minded, collaborative culture with enthusiastic colleagues driven by the challenge of innovation and making a profound impact on people and the planet.
  • A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
  • Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the company Center for Leadership.
  • Develop and execute advanced analytics solutions and statistical evaluation to solve complex business problems
  • Apply A/B testing, regression evaluation, hypothesis testing, and other statistical methodologies to validate business strategies and enhance strategic choice.
  • Work with senior managers to identify strategic opportunities and guide data-guided choices.
  • Design and develop impactful dashboards and reports using tools like Tableau, Looker, or Power BI, enabling stakeholders to make informed choices.
  • Serve as a trusted advisor by applying a deep comprehension of business operations to recommend strategies that drive growth, operational improvements, and teamwork.
  • Drive the development and monitoring of key performance indicators (KPIs) and dashboards, ensuring alignment with business goals.
  • Leverage a strong comprehension of business processes to provide recommendations on optimizing operations and improving outcomes.
  • Partner with engineering teams to design and optimize data pipelines and workflows.
  • Python
  • communication skills
  • SQL
  • Power BI
  • Tableau
  • A/B Testing
  • Data Pipelines
  • Workflows
  • Data Visualization
  • Business Intelligence
  • kpis
  • looker
  • Advanced Analytics
  • Storytelling
  • Hypothesis Testing
  • Machine Learning Techniques
  • business storytelling
  • strategic evaluation
  • regression evaluation
  • data evaluation techniques
  • statistical methodologies
  • A bachelor's or master's degree in data science, business evaluation, computer science, or a related quantitative field.
  • 4+ years of experience in business intelligence, strategic evaluation, or a similar role, with a proven track record of driving business outcomes through data insights.
  • Proficiency in SQL and Python for data evaluation and modelling.
  • Solid comprehension of machine learning techniques and their application in solving business bottlenecks.
  • Expertise in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
  • A strong business mindset with the ability to comprehend and address cross-functional business bottlenecks and strategic opportunities.
  • Strong statistical comprehension and the ability to apply statistical methods to solve business problems and inform strategic direction.
  • Exceptional storytelling and communication skills, with a demonstrated ability to convey insights to both technical and non-technical audiences.
bachelor degree
48
JOB-6a218c6a3c642

Vacancy title:
Senior Analyst- Data Intelligence

[Type: FULL_TIME, Industry: Professional Services, Category: Computer & IT, Business Operations, Science & Engineering]

Jobs at:
Indsafri

Deadline of this Job:
Wednesday, June 10 2026

Duty Station:
kenya | kenya

Summary
Date Posted: Thursday, June 4 2026, Base Salary: Not Disclosed

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JOB DETAILS:

Role Overview

The role holder should have expertise in strategic evaluation, business storytelling, and advanced analytics to play a pivotal role in transforming data into actionable business insights. The successful candidate will deeply understand business bottlenecks, leverage data evaluation techniques, and effectively communicate complex evaluation to both technical and non-technical stakeholders. This role requires a strong ability to bridge the gap between business strategy and technology.

What you will be expected to do:

  • Develop and execute advanced analytics solutions and statistical evaluation to solve complex business problems
  • Apply A/B testing, regression evaluation, hypothesis testing, and other statistical methodologies to validate business strategies and enhance strategic choice.
  • Work with senior managers to identify strategic opportunities and guide data-guided choices.
  • Design and develop impactful dashboards and reports using tools like Tableau, Looker, or Power BI, enabling stakeholders to make informed choices.
  • Serve as a trusted advisor by applying a deep comprehension of business operations to recommend strategies that drive growth, operational improvements, and teamwork.
  • Drive the development and monitoring of key performance indicators (KPIs) and dashboards, ensuring alignment with business goals.
  • Leverage a strong comprehension of business processes to provide recommendations on optimizing operations and improving outcomes.
  • Partner with engineering teams to design and optimize data pipelines and workflows.

You might be a strong candidate if you have:

  • A bachelor's or master's degree in data science, business evaluation, computer science, or a related quantitative field.
  • 4+ years of experience in business intelligence, strategic evaluation, or a similar role, with a proven track record of driving business outcomes through data insights.
  • Proficiency in SQL and Python for data evaluation and modelling.
  • Solid comprehension of machine learning techniques and their application in solving business bottlenecks.
  • Expertise in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
  • A strong business mindset with the ability to comprehend and address cross-functional business bottlenecks and strategic opportunities.
  • Strong statistical comprehension and the ability to apply statistical methods to solve business problems and inform strategic direction.
  • Exceptional storytelling and communication skills, with a demonstrated ability to convey insights to both technical and non-technical audiences.

What Company Offers (in addition to compensation and statutory benefits):

  • Professional growth in a dynamic, rapidly expanding, high-social-impact industry
  • An open-minded, collaborative culture with enthusiastic colleagues driven by the challenge of innovation and making a profound impact on people and the planet.
  • A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
  • Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the company Center for Leadership.

Work Hours: 8

Experience in Months: 48

Level of Education: bachelor degree

Job application procedure

Click here to apply

All Jobs | QUICK ALERT SUBSCRIPTION

Job Info
Job Category: Computer/ IT jobs in Kenya
Job Type: Full-time
Deadline of this Job: Wednesday, June 10 2026
Duty Station: kenya | kenya
Posted: 04-06-2026
No of Jobs: 1
Start Publishing: 04-06-2026
Stop Publishing (Put date of 2030): 10-10-2076
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