Junior Data Analyst (Mobile Experience, RHQ) (sec)

Job Description

Position Summary

The successful candidate will report to the Analytics Team Lead, Mobile Experience (MX) division for MENA. The ideal candidate will possess a strong foundation in the data analysis process (end-to-end), with proficiency from Data Extraction, Transformation (SQL) and Data Storytelling (PowerBI and Excel). This role requires a proactive individual who learns fast to understand the business, possess a growth mindset, and who is driven to continuously improve business processes and challenge the status quo. Additionally, this person should be a good communicator, able to translate business questions into technical requirements, supporting the overall analytical function.

Role and Responsibilities

JOB IS FROM: italents.netVIEW
• Engage in ad-hoc reporting as required by daily business needs.
• Perform deep-dive analyses into big data to identify patterns, anomalies, and opportunities for improvement within the Mobile Experience Division.
• Extract and analyze data from various sources to discover insights that support the MX function.
• Collaborate with business stakeholders to understand their needs and translate them into technical requirements for data analysis.
• Design, develop, test and deploy basic RPA solutions to automate repetitive tasks and processes.
• Develop and maintain comprehensive dashboards to monitor key performance indicators and market trends, utilizing SQL, visualization tools, and advanced Excel techniques.
• Ensure accuracy and integrity by implementing robust data validation and data cleaning processes.

Skills and Qualifications

Requirements

• Bachelors or Master’s degree in Computer Science, Data Analytics, Information Systems, Statistics or a related field.
• Minimum of 3 years of experience in data analysis or a related role, preferably within the consumer electronics or technology sector.
• Strong proficiency in SQL, with extensive experience in querying large, complex datasets.
• Advanced skills in Excel, including pivot tables, Power Query, macros and charting.
• Proven ability to visualize data effectively using tools such as PowerBI, SAC or Tableau.
• Intermediate skills in RPA technologies (like PowerAutomate).
• Excellent analytical, problem-solving and communication skills.

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