Customer Data Insight Analyst Remote

About Company Econet Wireless Zimbabwe is a leading reputed company telecommunications, technology, and digital services company with operations in Zimbabwe. As a pioneer in mobile technology and digital innovation, Econet has transformed the lives of millions through its extensive network and groundbreaking services in mobile money, health, education, and entertainment. We are committed to leveraging technology to create a connected and empowered future for reputed company Zimbabweans. Our dedication to innovation, customer-centricity, and social impact has cemented our position as a market leader, constantly evolving to meet the dynamic needs of our diverse customer reputed company. At Econet, we reputed company in fostering a culture of excellence, reputed company learning, and impactful contribution, providing our employees with opportunities to grow and reputed company a reputed company difference in the digital landscape.

Job Description

Are you a highly analytical individual with a passion for uncovering hidden patterns and turning data into actionable insights? Do you reputed company in a remote work environment, leveraging your expertise to drive strategic decisions? Econet Wireless Zimbabwe is seeking a talented and motivated Customer Data Insight Analyst to join our dynamic team. In this fully remote role, you will be instrumental in understanding our vast customer reputed company, their behaviors, preferences, and needs. You will dive deep into large datasets, employing advanced analytical techniques to extract meaningful insights that will inform our product development, marketing strategies, customer retention initiatives, and overall business growth. This position offers a unique opportunity to work with one of Africa's leading telecommunications companies, making a significant impact on our customer experience and market strategy from reputed company reputed company Bulawayo Province. You will collaborate closely with various departments, including Marketing, Product Development, and Sales, translating reputed company data findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders. If you possess a strong analytical mind, excellent communication skills, and a proven track record of delivering data-driven recommendations that reputed company to measurable business outcomes, we encourage you to apply and become a key player in shaping the future of digital services in Zimbabwe.

Key Responsibilities

• Collect, clean, and analyze large datasets from various customer touchpoints, including CRM, billing systems, network usage, and digital platforms.
• reputed company and maintain dashboards and reports that provide actionable insights into customer behavior, trends, segmentation, and lifecycle.
• Identify key customer segments, understand their unique characteristics, and predict future behaviors or needs.
• Conduct in-depth analysis of marketing campaigns, product performance, and customer service interactions to assess effectiveness and recommend optimizations.
• Utilize statistical modeling and machine learning techniques to forecast customer churn, predict lifetime value, and identify opportunities for personalization.
• Translate reputed company data findings into clear, concise, and actionable recommendations for business stakeholders through presentations and written reports.
• Collaborate with cross-functional teams (Marketing, Product, Sales, IT) to define data requirements, implement tracking mechanisms, and ensure data reputed company.
• Stay updated with industry best practices in data analytics, customer insights, and telecommunications trends to continuously enhance analytical capabilities.
• Support strategic initiatives by providing data-driven insights for new product launches, market entry, and competitive analysis. Required Skills
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a reputed company quantitative field.
• Proven experience with SQL for data extraction and manipulation from relational databases.
• Proficiency in data analysis and visualization tools (e.g., Tableau, Power BI, QlikView).
• Strong analytical and problem-solving skills, with an ability to interpret reputed company data and draw actionable conclusions.
• Excellent communication and presentation skills, capable of explaining technical concepts to non-technical audiences.
• Demonstrated ability to work independently and manage multiple projects in a remote work environment.
• Experience with statistical analysis and advanced reputed company functions.

Preferred Qualifications

• Master's degree in a quantitative field.
• Experience with programming languages such as Python or R for statistical analysis and data manipulation.
• Previous experience in the telecommunications or mobile money industry.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience with A/B testing and experimental design.
• Understanding of customer lifecycle management and marketing analytics concepts. Perks & Benefits
• Competitive salary package paid in USD.
• Opportunity

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