Data Analyst Salary in Tanzania: What You Can Expect to Earn in 2025

With organisations across Tanzania investing in data-driven strategies, demand for data analysts has grown significantly. Salaries vary depending on expertise, job role, and location, making data analytics a lucrative career path. Whether you’re an entry-level professional or aiming for a senior position, understanding the landscape of data analyst jobs and how to grow within the field is vital.

This article explores the data analyst salary in Tanzania, including job roles, salary ranges, career paths, and how to become a professional in this fast-growing field.

What Does a Data Analyst Do?

A data analyst collects, cleans, and interprets data to help organisations make strategic decisions. In the Tanzanian job market, these professionals are employed across sectors, including finance, government, healthcare, retail, and logistics.

They work closely with business teams to turn raw numbers into insights. The ability to translate technical data into clear business strategies makes this role highly valuable.

Their typical responsibilities include:

• Gathering data from multiple sources
• Cleaning and organising datasets
• Performing statistical analysis
• Creating data visualisations and dashboards
• Reporting findings to stakeholders
  

Read more on Are Data and Business Analytics Certifications Worth the Investment?

Average Salary of a Data Analyst in Tanzania

The salary of a Data Analyst in Tanzania varies significantly based on experience level, location, and the specific industry. With the growing reliance on data-driven decision-making across sectors such as finance, telecommunications, healthcare, and retail, the demand for data analysts is steadily increasing. As a result, compensation packages for this role have become more competitive.

According to World Salaries, as of May 2025, the average annual Data Analyst salary in Tanzania is TZS 14,519,400. However, since this figure takes into account all Data Analyst roles across industries and experience levels, the actual figure can vary.

Data analysis is a promising career path in Tanzania, especially as businesses invest more in digital infrastructure and analytics capabilities. While the entry-level Data Analyst salary in Tanzania and the Junior Data Analyst salary in Tanzania may be modest, they can scale with experience and specialisation. 

Professionals who further upskill can command significantly higher pay and open up international job opportunities.

Factors Influencing Salaries

The salary of a data analyst in Tanzania is shaped by more than just a job title. A range of professional, educational, and industry-specific factors contribute to how much an individual can earn in this role. Understanding these elements is important for both job seekers aiming to increase their market value and employers looking to attract top talent. 

Listed below are some factors that can influence the Data Analyst’s salary in Tanzania:

1. Education Level

Formal education remains a cornerstone in determining salary levels. Data analysts with a bachelor’s degree in Computer Science, Statistics, Mathematics, or Economics tend to secure better-paying positions. However, those who pursue a specialised course such as Data and Business Analytics, such as the one offered by Digital Regenesys, often have a competitive advantage.

2. Work Experience

Experience is also another factor that can determine compensation. While the Data Analyst entry-level role in Tanzania may be modest, those with project experience tend to climb the salary ladder quickly. Analysts who demonstrate a track record of transforming data into actionable insights are in higher demand and can negotiate better pay.

3. Industry Sector

Finance, telecommunications, healthcare, and ICT sectors are known to pay significantly more than sectors such as education or non-profit. This is largely due to the volume of data processed, the impact of data-driven decision-making on revenue, and the value placed on predictive analytics in business operations.

4 Proficiency in Analytical Tools and Technologies

Technical skill sets play a major role in salary differentiation. Data analysts who are proficient in industry-relevant tools and programming languages are often better compensated than those with limited tool knowledge.

Read more on How Does One Begin a Career in Data and Business Analytics?

Top-Paying Cities for Data Analysts in Tanzania

The Data Analyst salary in Tanzania varies significantly across different cities, influenced by factors such as industry presence, cost of living, and regional demand for analytical skills. 

Below is an overview of the top-paying cities for Data Analysts in Tanzania, based on available data:

Dar es Salaam: According to Glassdoor, as of May 2025, the estimated median monthly salary for a Data Analyst in Dar es Salaam is TZS 2,986,875.

Mwanza: As of May 2025, World Salaries reports that a Data Quality Analyst in Mwanza earns an average annual salary of TZS 14,280,500, which equates to approximately TZS 1,190,041 per month.

Dodoma: In Dodoma, a Data Quality Analyst typically earns an average annual salary of TZS 12,958,200, translating to about TZS 1,079,850 per month, according to World Salaries.

Arusha: As of May 2025, Glassdoor indicates that the estimated median monthly salary for a Data Analyst in Arusha is TZS 905,058.

Career Progression and Opportunities

The career path in data analytics is both promising and diverse. From junior analyst to Senior Data Analyst in Tanzania across industries. As professionals develop leadership skills and specialise in technical roles, they can expect expanding responsibilities and increasing rewards. 

As the digital economy grows, those with the right blend of skills and experience are well-positioned to build long-term, rewarding careers and command a competitive Data Analyst salary in Tanzania. As organisations across Tanzania and beyond continue to prioritise data-driven decision-making, the demand for skilled analytics professionals is rising steadily. 

Listed below are some typical job roles according to different experience levels in Tanzania:

Entry-Level Roles: In these roles, responsibilities include data cleaning, preparing basic reports, and supporting senior analysts. Employers typically look for foundational knowledge in Excel, SQL, and data visualisation tools. Most professionals begin their journey in entry-level positions such as:

• Junior Data Analyst
• Business Intelligence Assistant
• Data Technician

Mid-Level Positions: At this stage, analysts are expected to handle end-to-end data projects, design dashboards, interpret trends, and contribute to strategic decisions. With 2–5 years of experience, professionals often transition into roles such as:

• Mid-Level Data Analyst
• Business Intelligence Analyst
• Data Visualisation Specialist

Senior and Specialist Roles: These roles involve mentoring junior staff, managing complex data models, and collaborating directly with senior management or clients. Professionals who demonstrate leadership, domain expertise, and technical mastery often advance to:

• Senior Data Analyst
• Analytics Consultant
• Data Science Associate
• Lead Business Intelligence Analyst

Advanced Career Opportunities: With further upskilling, certification, and experience, data analysts can pursue strategic and high-paying roles, such as:

• Data Scientist
• Machine Learning Engineer
• Chief Data Officer (CDO)
• Head of Data and Analytics

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How to Become a Data Analyst in Tanzania?

In order to command a competitive Data Analyst salary in Tanzania and take advantage of the tech revolution in the country, it is important to acquire the appropriate knowledge and skills. 

While on-the-job training is helpful, individuals interested in Analytics need to enrol in a specialised course, such as the one offered by Digital Regenesys, to develop a strong foundational understanding of the field and the tools that are used.

To establish a successful career as a data analyst in Tanzania, individuals should follow a structured path that includes the following steps:

1. Obtain Relevant Education
   • Pursue a diploma or degree in data science, statistics, computer science, mathematics, or a related field.
   • Build a strong foundation in data structures, analytical methods, and problem-solving.
     
2. Gain a Certification
   • Consider enrolling in specialised courses or a certification course to gain practical experience.
   • Gain proficiency in data analysis tools such as Excel, SQL, Python, and R.
   • Learn to use data visualisation software like Tableau or Power BI.
     
     
3. Build Practical Experience
   • Work on real-world data projects to apply theoretical knowledge.
   • Participate in internships or volunteer opportunities that involve data analysis.
   • Create a portfolio showcasing your work and skills.
     
4. Enhance Soft Skills
   • Develop critical thinking and problem-solving abilities.
   • Improve communication skills to effectively present data insights to non-technical stakeholders.
     
5. Engage with the Data Community
   • Join local or online data analytics groups and forums.
   • Network with professionals in related industries to stay updated on trends and job openings.

Read more on How Can Organisations Integrate Data and Business Analytics into Their Strategy?

Top Institutes Offering Data Analytics Courses

To stand out in the job market and command a higher data analyst starting salary in Tanzania, pursuing an accredited course is recommended. These courses are structured to build a strong foundation in the field and teach interested learners how to use specific tools in order to acquire the most accurate insights.

Digital Regenesys Certification Course in Data and Business Analytics

Digital Regenesys offers an industry-aligned Certification Course in Data and Business Analytics that prepares professionals to thrive in data-centric roles. This online course is ideal for both aspiring data analysts and professionals aiming to reskill or upskill.

This 30-week course is offered 100% online and allows Tanzanians residing in all parts of the country the opportunity to develop expertise in the field. As Tanzania tries to establish itself as a regional technology hub, the Digital Regensys course helps to fill the demand by moulding skills in data analysts.

Course Highlights:

• IITPSA-accredited course with 30 CPD points.
• 100% online and self-paced learning
• Capstone projects, where candidates work on data sets and display their proficiency in using Analytics tools.
• Globally recognised certificate from Digital Regenesys 
• Experienced faculty who bring industry experience
• Affordable and accessible learning for Tanzanians

Conclusion

The data analyst salary in Tanzania reflects the growing demand for data professionals across various industries. Whether you’re just starting out or looking to advance into a senior role, opportunities in this field are promising. Salary ranges depend on skillset, experience, location, and industry, and can be substantially improved with the right training and credentials.

Enrolling in a specialised course such as the one offered by Digital Regenesys is a strong step towards awakening your potential in this rewarding field. Visit Digital Regenesys to explore how you can begin your journey in data analytics today.

Data Analyst Salary in Tanzania – FAQs