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10Alytics

Senior Data Associate – Data Analysis

10Alytics

Uganda Full time IT & Software
Posted: Jul 30, 2026 4 days ago Deadline: Aug 13, 2026 18 views

Job Description

 

Senior Data Associate – Data Analysis Job Vacancy | 10Alytics (Remote)

Vacancy Title: Senior Data Associate – Data Analysis
Job Type: Full-Time
Industry: Education | Technology | Data Analytics
Category: Computer & IT | Data Science | Business Operations | Education & Training
Organisation: 10Alytics
Duty Station: Remote
Application Deadline: Thursday, 13th August 2026
Salary: Not Disclosed

About 10Alytics

10Alytics is a technology and education-focused organization dedicated to empowering individuals with practical digital skills, data analytics knowledge, and industry-relevant training.
The organization supports learners through structured programs designed to develop technical capabilities, professional skills, and career readiness for the modern digital economy.
10Alytics is seeking an experienced Senior Data Associate – Data Analysis to provide technical leadership, support learning delivery, mentor participants, and contribute to the improvement of data analytics training programs.

Job Summary

The Senior Data Associate – Data Analysis will lead learning delivery and technical support within the data analytics specialization.
The successful candidate will facilitate training sessions, mentor learners, review projects and assessments, provide subject matter expertise, contribute to curriculum development, and ensure participants gain practical industry-relevant data analysis skills.
This remote role requires strong knowledge of data analytics, excellent communication skills, problem-solving ability, and the ability to support learners through their professional development journey.

Key Responsibilities

1. Data Analytics Training & Learning Delivery
The Senior Data Associate will:
  • Facilitate engaging data analysis training sessions.
  • Deliver practical lessons based on industry standards.
  • Guide learners through data analytics concepts and applications.
  • Support participants in developing technical skills.
  • Provide clear explanations of complex data concepts.
  • Encourage hands-on learning through practical projects.
2. Learner Mentorship and Technical Support
Responsibilities include:
  • Mentor learners throughout the training program.
  • Provide technical guidance on assignments and projects.
  • Review learner progress and provide constructive feedback.
  • Support participants in solving technical challenges.
  • Encourage continuous learning and professional growth.
  • Help learners develop confidence in data analysis tools and techniques.
3. Project and Assessment Review
The role involves:
  • Evaluate learner projects and assessments.
  • Provide detailed feedback to improve performance.
  • Ensure projects meet quality and industry expectations.
  • Assess learners’ understanding of data analytics principles.
  • Support learners in building strong professional portfolios.
4. Curriculum Improvement and Development
The Senior Data Associate will:
  • Contribute to improving data analytics curriculum content.
  • Recommend updates based on industry trends.
  • Identify skills required in the data analytics job market.
  • Support development of practical learning materials.
  • Ensure training content remains relevant and effective.
5. Technical Leadership
Responsibilities include:
  • Provide subject matter expertise in data analysis.
  • Support other trainers and learning teams.
  • Share best practices in data analytics.
  • Promote quality standards in technical training.
  • Contribute ideas that improve program outcomes.
6. Learner Engagement and Program Growth
The successful candidate will:
  • Improve learner participation and engagement.
  • Support successful completion of training programs.
  • Encourage collaboration among learners.
  • Promote a positive learning environment.
  • Contribute to the growth and success of the program.

Required Qualifications

Applicants should possess:
  • Bachelor’s Degree in Data Science, Statistics, Computer Science, Information Technology, Mathematics, Business Analytics, or a related field.
  • Relevant professional experience in data analysis or data-related roles.
  • Strong understanding of data analytics concepts and practices.

Required Experience

The ideal candidate should have:
  • 3–4 years of experience in data analysis, analytics, training, or a related field.
  • Experience working with data-driven projects.
  • Experience mentoring, coaching, or training learners is an added advantage.
  • Experience using data analysis tools and technologies.

Technical Skills & Competencies

Candidates should demonstrate knowledge in:
Data Analysis Skills
  • Data cleaning and preparation.
  • Data interpretation and reporting.
  • Data visualization.
  • Statistical analysis.
  • Business intelligence concepts.
  • Data-driven decision-making.
Analytical Tools
Experience with tools such as:
  • Microsoft Excel.
  • SQL databases.
  • Power BI.
  • Tableau.
  • Python for data analysis.
  • Data visualization platforms.
Professional Skills
  • Excellent communication skills.
  • Strong presentation abilities.
  • Problem-solving mindset.
  • Attention to detail.
  • Ability to work independently.
  • Strong mentoring skills.
  • Adaptability and willingness to learn.

What You Will Get

Working with 10Alytics provides an opportunity to enjoy:
  • Competitive salary package.
  • Career growth opportunities.
  • Health insurance.
  • Learning and development support.
  • Flexible remote working environment.
  • Performance bonuses.
  • Opportunity to contribute to technology education.

Career Growth Opportunities

Professionals in this role can progress into positions such as:
  • Lead Data Analyst.
  • Data Analytics Manager.
  • Data Science Instructor.
  • Business Intelligence Specialist.
  • Data Consultant.
  • Analytics Program Manager.
  • Head of Data Training.

How to Apply

If you are passionate about data analytics, technology education, and empowering future professionals, 10Alytics would like to hear from you.
Interested candidates should submit their applications before Thursday, 13th August 2026.
Application Method: Apply Now
Only shortlisted candidates will be contacted.

Senior Data Associate CV Tips

A competitive CV should highlight:
  • Data analysis experience.
  • Data visualization skills.
  • SQL and analytics tools.
  • Training and mentorship experience.
  • Data-driven projects.
  • Business intelligence knowledge.
  • Research and reporting abilities.
  • Experience supporting learners or teams.
Professional Summary Example
"Experienced Data Analyst and technology educator with 3+ years of experience in data analysis, visualization, reporting, and learner mentorship. Skilled in transforming data into actionable insights using analytics tools, supporting data-driven decision-making, and delivering practical training programs that build industry-ready digital skills."

Senior Data Associate Interview Tips

1. Explain your experience in data analysis.
Discuss your previous projects, tools used, reporting experience, and how you generated insights from data.
2. How do you teach complex technical concepts?
Explain your approach to simplifying concepts, using practical examples, and supporting different learner abilities.
3. Which data analysis tools have you used?
Highlight experience with Excel, SQL, Power BI, Python, Tableau, or other analytics platforms.
4. How do you support struggling learners?
Discuss mentorship, feedback, practical demonstrations, and personalized support.
5. How do you keep data analytics training relevant?
Explain how you follow industry trends and update learning materials.




About Company

10Alytics

10Alytics

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Job Overview

  • Job Type: Full time
  • Experience Level: Intermediate
  • Education Level: Bachelors
  • Vacancies: 1
  • Category: IT & Software
  • Location: Uganda
  • Application: External Website

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