Description

Job Overview Teleperformance is seeking a detail-oriented and analytical Data Analytics Analyst I to support data-driven decision-making across multiple business functions. The role involves working with structured and unstructured datasets to identify trends, generate insights, and support advanced analytics and data science initiatives. This position requires hands-on experience in data analysis, statistical modeling, and visualization while continuously improving analytics processes and efficiency. - Key Responsibilities Data Analysis & Analytics Perform end-to-end data analytics on existing datasets across business domains such as Marketing, Supply Chain, Financial Services, Market Economics, and Customer Experience. Define data requirements, collect relevant data, and ensure accurate processing and cleaning of datasets. Analyze data to identify patterns, trends, anomalies, and insights that address key business questions. Statistical Modeling & Visualization Apply statistical techniques and analytical models to interpret complex data. Create clear and impactful dashboards, reports, and visualizations to communicate insights to stakeholders. Business Insights & Decision Support Translate analytical findings into actionable business recommendations. Support leadership and cross-functional teams with data-backed insights to improve performance and operational efficiency. Data Science & Advanced Analytics Support Provide analytical inputs for complex Data Science, Big Data, and Data Mining initiatives. Collaborate with senior analysts and data scientists on advanced analytical projects. Process Improvement & Automation Identify opportunities to enhance efficiency through automation of data analysis and reporting processes. Continuously improve existing analytics workflows, tools, and methodologies. Professional Development Work independently within defined frameworks and standards. Continuously build domain knowledge, share best practices, and contribute to process enhancements. - Qualifications & Experience Education Bachelor’s degree in any discipline (Statistics, Mathematics, Economics, Engineering, or related fields preferred). Postgraduate degree is an added advantage. - Experience 1–2 years of professional experience in data analytics, reporting, or business analytics roles. - Key Skills & Competencies Technical Skills Data Analytics & Data Analysis Statistical Modeling Data Mining & Big Data Concepts Data Collection & Data Cleaning Analytics & Research Methodologies Automation of Reports and Dashboards Exposure to Data Science concepts Domain Exposure (Preferred) Marketing & Advertising Analytics Supply Chain Analytics Financial Services Analytics Scientific & Business Research Customer Experience Analytics - Soft Skills Strong analytical and problem-solving abilities Attention to detail and data accuracy Ability to work independently with minimal supervision Clear communication and stakeholder collaboration - Why Join Teleperformance Opportunity to work on large-scale, real-world datasets across multiple business domains Exposure to advanced analytics, data science, and big data initiatives Structured work environment with defined standards and growth opportunities Global organization with strong analytics-driven culture

Role and Responsibilities

• Key Responsibilities Data Analysis & Analytics Perform end-to-end data analytics on existing datasets across business domains such as Marketing, Supply Chain, Financial Services, Market Economics, and Customer Experience. Define data requirements, collect relevant data, and ensure accurate processing and cleaning of datasets. Analyze data to identify patterns, trends, anomalies, and insights that address key business questions. Statistical Modeling & Visualization Apply statistical techniques and analytical models to interpret complex data. Create clear and impactful dashboards, reports, and visualizations to communicate insights to stakeholders. Business Insights & Decision Support Translate analytical findings into actionable business recommendations. Support leadership and cross-functional teams with data-backed insights to improve performance and operational efficiency. Data Science & Advanced Analytics Support Provide analytical inputs for complex Data Science, Big Data, and Data Mining initiatives. Collaborate with senior analysts and data scientists on advanced analytical projects. Process Improvement & Automation Identify opportunities to enhance efficiency through automation of data analysis and reporting processes. Continuously improve existing analytics workflows, tools, and methodologies. Professional Development Work independently within defined frameworks and standards.