Senior Associate, Data Analyst (Postpaid Convergence)

Job Responsibilities

• Understand business objectives and utilize varied data sources to develop dashboards, draw insights, and provide recommendations with a clear call to action.
• Explore and understand the data warehouse and database structure with varying complexity to lead effective analysis delivery.
• Support data and analysis for executive reports on a daily, weekly, and monthly basis, as well as for ad-hoc business inquiries.
• Work closely with data warehouse and IT teams to extract data and set up processes required for different business functions and analyses.
• Identify, design, and implement internal process improvements by automating manual processes and optimizing data delivery.
• Handle enterprise-wide large datasets with flexibility in learning new platforms, techniques, and coding languages (e.g., SQL, Python, Tableau, or other development platforms/BI tools) for analysis and solution delivery.
• Be proficient in one or more analysis/BI platforms/tools and be flexible to learn additional ones on the job to effectively solve problems.

Qualifications

• Bachelor's degree in IT, Computer Engineering, Computer Science, MIS, or a related field.
• 2-3 years of experience in a Data Engineer role or a similar position, with experience in Telecom or digital channels analytics being desirable.
• Advanced knowledge of SQL, including proficiency in query authoring and familiarity with relational and various other databases.
• Technical skills in Python, Tableau, and other development platforms/BI tools.
• Proven ability to work with cross-functional teams in a dynamic environment.
• Willingness to learn new IT technologies while collaborating closely with business teams.