Data Analyst

Overview

The Data Analyst role involves in-depth examination of multifaceted datasets to uncover patterns, root causes, business opportunities, and actionable guidance. This position requires advanced skills in data extraction, transformation, and querying, particularly using SQL, across cloud environments such as Google Cloud Platform, Microsoft Azure, Amazon Web Services, BigQuery, and Databricks.

Responsibilities

• Analyze detailed datasets to detect trends, identify root causes, and develop meaningful business insights.
• Execute sophisticated data extraction and transformation operations using SQL.
• Handle extensive data across prominent cloud platforms including GCP, Azure, AWS, BigQuery, and Databricks.
• Create and maintain dynamic dashboards and automated report solutions utilizing Power BI, Tableau, Qlik, or Looker tools.
• Develop frameworks for performance reporting and key performance indicators for various business stakeholders.
• Evaluate and interpret metrics related to customer engagement, digital product success, platform status, operational KPIs, and service quality.
• Collaborate closely with Product, Engineering, Operations, and Business departments to pinpoint reporting needs and deliver analytical outputs.
• Convert complex analysis findings into clear, evidence-supported recommendations for diverse audiences including technical and non-technical stakeholders.
• Deliver presentations that effectively communicate insights, aiding in strategic and operational decision-making.
• Ensure consistency, governance, and precision of data and reports derived from multiple sources.
• Spot analytics-driven opportunities to enhance customer experience, streamline operations, and boost overall business performance.

Skills and Expertise Required

• Proficiency in analytical thinking to identify business trends, root cause analysis, opportunity areas, and actionable insights.
• Advanced expertise in SQL and handling large datasets efficiently.
• Experience with cloud data platforms such as GCP, Azure, AWS, BigQuery, and Databricks.
• Ability to build and sustain dashboards and reports using Power BI, Tableau, Qlik, or Looker, tailored for executives and operations.
• Competence in measuring diverse aspects of customer journeys, digital product metrics, platform health, KPIs, and services.
• Strong communication and stakeholder management skills to translate findings into compelling stories and influence decision-making.
• Business acumen to connect analysis with customer outcomes, operational effectiveness, commercial goals, and overall business strategy.

Preferred Experience

• Background in enterprise digital transformation or customer experience projects.
• Exposure to Telecom, Digital Product, Technology, or Customer Operations sectors.
• Familiarity with data governance, data quality practices, and reporting standards.
• Experience working in Agile teams and cross-functional product environments.

Qualifications

Applicants should hold a Bachelor's or Master's degree in Data Analytics, Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a closely related field with a minimum of six years of professional experience in Data Analytics or Business Intelligence roles.