Data Analytics Manager Job Vacancy in Ondjiva, Angola – Technology – Data Analytics

Job Description

Position:Data Analytics Manager

Company:Microsoft

Location:Ondjiva, Angola

Experience:5+ years

Education:Bachelor’s degree in Data Science or related field

Employment Type:Full-time

Industry:Technology – Data Analytics

Department:Data & Analytics

Salary:2,500,000 – 3,500,000 SSP per month

Vacancies:1

Company Overview

Microsoft is a global leader in technology innovation, empowering individuals and organizations worldwide through cutting‑edge software, cloud services, and AI solutions. With a growing presence in Angola, Microsoft is committed to driving digital transformation across public and private sectors, fostering local talent, and supporting sustainable economic development. The company’s mission to enable every person and every organization to achieve more aligns with Angola’s Vision 2030, creating a dynamic environment for professionals seeking impactful careers. As part of Microsoft’s expansion strategy, the Ondjiva office serves as a hub for regional data initiatives, collaborating with government agencies, NGOs, and private enterprises to harness data for smarter decision‑making. This role offers a unique opportunity to contribute to high‑visibility projects that shape the future of data‑driven insights in Angola, while being part of a diverse, inclusive, and innovative workplace.

Job Overview

The Data Analytics Manager will lead a multidisciplinary team responsible for designing, developing, and delivering advanced analytics solutions that support Microsoft’s strategic objectives in Angola. Reporting to the Regional Director of Data Services, the manager will oversee the end‑to‑end analytics lifecycle, from data ingestion and governance to visualization and actionable insights. This position plays a pivotal role in translating complex data sets into strategic recommendations for clients in sectors such as finance, healthcare, education, and government. The role also involves close collaboration with Microsoft’s cloud engineering, AI research, and sales teams to ensure seamless integration of analytics capabilities within the broader Microsoft ecosystem. For more information about Microsoft’s commitment to the Angolan market, visit https://angolajobsearch.com/.

Key Responsibilities

• Define and execute the data analytics strategy aligned with regional business goals and Microsoft’s global standards.
• Lead the design, development, and deployment of scalable analytics pipelines using Azure Synapse, Power BI, and advanced statistical models.
• Collaborate with cross‑functional teams to identify data opportunities, formulate analytical frameworks, and deliver actionable business insights.
• Establish data governance policies, ensuring data quality, security, and compliance with Angolan regulations.
• Mentor and coach a team of data analysts, data engineers, and BI developers, fostering a culture of continuous learning and innovation.
• Engage with key stakeholders, including government ministries, corporate clients, and NGOs, to understand their data needs and tailor solutions accordingly.
• Monitor performance metrics, produce executive dashboards, and present findings to senior leadership.
• Stay abreast of emerging technologies in AI, machine learning, and big data, recommending adoption where appropriate.

Required Skills

• Proficiency in Azure data services (Azure Data Lake, Azure Synapse, Azure Databricks) and Power BI.
• Strong expertise in SQL, Python, R, and statistical modeling techniques.
• Experience with data warehousing, ETL processes, and data pipeline orchestration.
• Excellent problem‑solving abilities and a data‑driven mindset.
• Effective communication skills to convey complex analytical concepts to non‑technical audiences.
• Leadership experience managing multidisciplinary analytics teams.
• Knowledge of Angolan data privacy laws and industry standards.

Education

A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related discipline is required. A Master’s degree or relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Azure Data Engineer) are highly desirable and will be considered an advantage.

Experience

The ideal candidate will have at least five years of progressive experience in data analytics, business intelligence, or data engineering, with a proven track record of delivering large‑scale analytics solutions in a corporate or governmental setting. Experience within the African market, particularly Angola, is a strong plus.

Salary

The compensation package ranges from 2,500,000 to 3,500,000 Angolan Kwanza (SSP) per month, commensurate with experience and qualifications. The package includes performance‑based bonuses and comprehensive benefits.

Benefits

• Competitive salary with annual performance bonuses.
• Health and dental insurance coverage.
• Retirement savings plan.
• Generous paid time off and public holidays.
• Employee stock purchase program.
• Professional development stipend.

Training

• Access to Microsoft Learn platform for continuous skill enhancement.
• On‑the‑job training in Azure analytics services and AI tools.
• Mentorship programs with senior data scientists and engineers.
• Opportunities to attend international conferences and workshops.

Working Environment

Microsoft’s Ondjiva office offers a modern, collaborative workspace equipped with state‑of‑the‑art technology, flexible work arrangements, and a vibrant community of innovators. Employees benefit from a supportive culture that values diversity, inclusion, and work‑life balance, encouraging creativity and personal growth.

Application Process

Interested candidates should submit their updated resume and a cover letter outlining their relevant experience through the Microsoft Careers portal. Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for virtual interviews.

Equal Opportunity Statement

Microsoft is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, age, disability, or veteran status. All qualified applicants will receive consideration for employment without regard to any protected characteristic.