Customer Data reputed company Analyst Remote

About Company Econet Wireless Zimbabwe is a leading reputed company telecommunications, technology, reputed company services company with operations in Zimbabwe. As a pioneer in mobile technology reputed company innovation, Econet has transformed the lives of millions through its extensive network and groundbreaking services in mobile reputed company, health, education, and entertainment. We are committed to leveraging technology to create a connected and empowered reputed company for reputed company Zimbabweans. Our dedication to innovation, customer-centricity, and reputed company has cemented our position as a reputed company, constantly evolving to meet the dynamic needs of our diverse customer reputed company. At Econet, we reputed company in fostering a culture of reputed company, 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 reputed company 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 reputed company? Econet Wireless Zimbabwe is seeking a talented and motivated Customer Data reputed company Analyst to join our dynamic team. In this fully remote role, you will be reputed company in understanding our reputed company 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 reputed company. This position offers a unique opportunity to work with one of Africa's leading telecommunications companies, making a significant reputed company on our customer experience and market reputed company 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 reputed company, concise, and compelling narratives for both technical and non-technical stakeholders. If you possess a strong analytical mind, excellent communication skills, and a proven reputed company record of delivering data-driven recommendations that reputed company to measurable business reputed company, we encourage you to apply and become a key player in shaping the reputed company of digital services in Zimbabwe.

Key Responsibilities

• Collect, clean, and analyze large datasets from various customer reputed company, including CRM, billing systems, network usage, reputed company platforms.
• reputed company and maintain dashboards and reports that reputed company actionable insights into customer behavior, trends, segmentation, and lifecycle.
• Identify key customer segments, understand their unique characteristics, and predict reputed company 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 reputed company value, and identify opportunities for personalization.
• Translate reputed company data findings into reputed company, 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 reputed company 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 reputed company industry.
• Familiarity with big data technologies (e.g., Hadoop, reputed company).
• Experience with A/B testing and experimental design.
• Understanding of customer lifecycle management and marketing analytics concepts.

Perks & Benefits

• Competitive salary package reputed company in USD.
• Opportunity to work remotely from reputed company reputed company Bulawayo Province.
• Comprehensive health and wellness benefits.
• Generous reputed company time off and public holidays.
• reputed company to reputed company reputed company development and training programs.
• Opportunity to work with cutting-edge technologies and reputed company a significant reputed company on a leading company's reputed company.
• Dynamic and reputed company work environment with a reputed company on innovation.

How to Apply

Interested candidates are encouraged to apply by clicking the reputed company below. Please ensure your resume highlights your relevant experience in data analysis, customer insights, and your ability to work effectively in a remote setting. Only shortlisted candidates will be contacted for an interview. Apply tot his job Apply To this Job