Data Analyst
qode.world
AWSAzureCloudPythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
AWSNumpyPandasPythonTableau
About the role
- Support TV and other consumer device research; perform data analysis and modelling tasks
- Responsible for Omdia's Global TV set and Consumer Electronics research services, including quarterly data reports on vendor sell-in shipment performance
- Work closely with global TV analysts to combine primary research findings with secondary data sources to create comprehensive market models
- Enhance country-level data accuracy by developing advanced methodologies and incorporating additional data sources to fill gaps via strategic triangulation
- Own end-to-end data lifecycle of TV set data deliverables and understand TV data process and terminology
- Build data modelling solutions and produce data deliverables based on client requirements using logical and efficient algorithms
- Translate business requirements into reports and deliverable structures and produce Model Documentation
- Manage issue escalations with appropriate pathways and minimal supervision
- Anticipate, detect, prevent, and manage risks and issues impacting deliverables and the research process
- Stay updated on emerging technologies and methodologies in data acquisition and analysis
- Measures of success: on-time delivery, quality and accuracy of market intelligence, peer feedback, and client satisfaction/retention
Requirements
- Master's Degree with a specialization in business, economics, statistics, mathematics, engineering, commerce and/or data science is preferred
- Bachelor's degree in one of the above specializations is a must
- Prior experience of four years or more in data science, data modelling and analysis
- Experience in data cleaning, data visualization and data translation
- Extremely comfortable with Microsoft Excel, Power BI and PowerQuery
- Highly proficient in Python and libraries such as pandas, NumPy, SciPy, Beautiful Soup, pysftp and pyodbc
- Adequate knowledge of working with various file formats such as Parquet, JSON, csv
- Basic level knowledge of AWS S3, Lambda, Athena is nice to have
- Good understanding of data management and metadata
- Strong problem-solving and troubleshooting skills
- Excellent communication and collaboration skills
- Experience with data visualization tools like Tableau or Power BI is a plus
- Attention to detail and commitment to data accuracy
- Understanding and commitment to Research & Analytics goals, objectives, and values in action, together with relevant policies and guidelines
