AddressSummary:
The Data Analyst will be responsible for analysing and interpreting large datasets to provide valuable insights and recommendations to the business. They will work closely with cross-functional teams to gather and analyse data, develop reports, and provide customized solutions to help the organization gain a competitive edge.
Responsibilities:
- Analyse large data sets using advanced statistical techniques and tools to uncover trends, opportunities, and insights.
- Develop, maintain and analyse performance metrics and reports that support data-driven decision-making processes.
- Collaborate with stakeholders to identify business questions and translate them into data and analysis requirements.
- Develop models and algorithms to help optimise business processes and drive efficiencies.
- Design and execute A/B tests and experiments to identify opportunities for optimisation.
- Identify data quality issues and help to develop solutions to improve data integrity, accuracy, and completeness.
- Manage data collection, cleansing, and manipulation processes to ensure data is readily accessible and easy to work with.
- Prepare and present data-driven reports and insights to stakeholders, highlighting key findings and recommendations.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Business Analytics, Statistics or related field.
- 2+ years of relevant experience in data analysis, preferably in the Internet and New Media industry.
- Proven experience in analysing large and complex datasets using SQL, R, Python, or related tools.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with data visualisation tools such as Tableau, Power BI, or related tools.
- Knowledge of statistical modelling, hypothesis testing, and A/B testing methodologies.
- Familiarity with data management and ETL processes.
