Technical Data Associate – Data Analysis Job Vacancy | 10Alytics

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

About 10Alytics

10Alytics is a technology and professional development organization focused on equipping individuals with practical digital skills required in today’s competitive job market. The organization provides training, mentorship, and hands-on learning experiences in areas such as data analytics, business intelligence, cybersecurity, project management, technology, and digital transformation.

10Alytics is committed to helping learners gain industry-relevant skills through practical projects, technical guidance, and expert mentorship.

The organization is seeking a Technical Data Associate – Data Analysis to support learners, provide technical assistance, review projects, and contribute to successful delivery of data analytics training programs.

Job Summary

The Technical Data Associate – Data Analysis will support learning delivery within the data analytics specialization by assisting learners with technical projects, assessments, and data analysis challenges.

The successful candidate will provide technical guidance, review learner work, support training activities, and help participants develop practical skills in data analysis, data visualization, reporting, business intelligence, and analytical problem-solving.

This role requires strong communication skills, analytical ability, and a passion for supporting the growth of future data professionals.

Key Responsibilities

1. Data Analytics Learning Support

The Technical Data Associate will:

Support learners with data analysis projects and assignments.
Provide technical guidance on analytics concepts and tools.
Assist learners in understanding data collection, cleaning, and analysis processes.
Respond to learner questions and technical challenges.
Help participants apply data analytics concepts to real-world scenarios.

2. Project and Assessment Review

Responsibilities include:

Review learner projects, assignments, and practical exercises.
Provide constructive feedback to improve learner performance.
Assess the quality and accuracy of data analysis work.
Support learners in developing professional data portfolios.
Ensure projects meet expected technical standards.

3. Technical Mentorship

The role involves:

Mentor learners pursuing careers in data analytics.
Guide participants through technical challenges.
Encourage critical thinking and problem-solving.
Share practical industry knowledge and experiences.
Support learners in building confidence with analytics tools.

4. Training Program Support

The successful candidate will:

Assist trainers during technical learning sessions.
Support smooth delivery of training programs.
Contribute ideas for improving course content.
Help create practical learning activities.
Promote learner engagement and successful completion.

5. Data Analysis Practice Support

Responsibilities include:

Guide learners on data preparation and analysis techniques.
Support understanding of statistical concepts.
Assist with data visualization and reporting practices.
Encourage the use of data-driven decision-making approaches.
Promote best practices in handling and interpreting data.

Required Qualifications

Applicants should possess:

Bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, Economics, or related fields.
Knowledge of data analytics concepts and methodologies.
Understanding of data visualization and reporting techniques.
Strong interest in technology, analytics, and professional training.

Required Experience

The ideal candidate should have:

3–4 years of experience in data analysis or related fields.
Experience working with data projects and analytical reports.
Experience supporting training, coaching, or mentorship is an added advantage.
Practical knowledge of data analytics tools.

Technical Skills and Competencies

Data Analytics Skills

Data collection and preparation
Data cleaning
Data analysis
Data visualization
Reporting and insights generation
Statistical analysis
Business intelligence concepts

Technical Tools

Knowledge of:

Microsoft Excel
SQL databases
Python for data analysis
Power BI
Tableau
Google Data Studio / Looker Studio
Data visualization platforms

Personal Attributes

The ideal candidate should have:

Strong communication skills
Analytical and problem-solving abilities
Attention to detail
Ability to explain technical concepts clearly
Teamwork and collaboration skills
Ability to work independently
Willingness to learn and grow

Benefits of Working with 10Alytics

Successful candidates will receive:

Competitive salary package.
Remote working flexibility.
Career development opportunities.
Health insurance.
Learning and development support.
Exposure to modern data analytics practices.
Opportunity to contribute to technology skills development.

Career Growth Opportunities

Professionals in this role can progress into:

Data Analyst
Senior Data Analyst
Business Intelligence Analyst
Data Science Associate
Analytics Consultant
Data Engineer
Data Analytics Trainer
Data Analytics Manager

How to Apply

Interested candidates who meet the requirements should submit their applications before:

Deadline: Thursday, August 13, 2026

Applicants should demonstrate experience in:

Data analysis
Technical mentorship
Data visualization
Reporting
Analytics tools
Supporting technology learning programs

Application Link: Click Here to Apply Now

Only shortlisted candidates will be contacted.

Technical Data Associate CV Tips

A competitive CV should highlight:

Data analysis experience
Data visualization projects
SQL and Python skills
Excel expertise
Power BI/Tableau knowledge
Business intelligence experience
Technical training or mentoring experience
Problem-solving abilities

Professional Summary Example:

"Detail-oriented Data Analytics professional with experience in data analysis, visualization, reporting, and business intelligence. Skilled in SQL, Python, Excel, Power BI, and transforming raw data into actionable insights. Experienced in supporting analytics projects, mentoring learners, and applying data-driven solutions to business challenges."

Interview Preparation Tips

1. Explain your experience in data analysis.
Discuss your experience collecting, cleaning, analyzing, and interpreting datasets.

2. Which data analytics tools have you used?
Highlight tools such as Excel, SQL, Python, Power BI, Tableau, and other analytics platforms.

3. How do you handle poor-quality data?
Explain data validation, cleaning, quality checks, and documentation processes.

4. How would you support a learner struggling with analytics concepts?
Explain your approach to mentorship, demonstrations, feedback, and practical examples.

5. Why are you interested in joining 10Alytics?
Highlight your passion for technology, data analytics, learning, and developing future professionals.

Technical Data Associate – Data Analysis

Job Description