Analyst, TV and Consumer Electronics

This role is based in our 43 Residency Road office.

Key Responsibilities:

As Data Analyst you will support our TV and other consumer device research and will be expected to perform the following duties:

• Responsible for Omdias Global TV set and Consumer Electronics research services, including quarterly data reports on vendor sell-in shipment performance.
• Working 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 that effectively fill gaps through strategic triangulation techniques.
• Understand the TV data process, and terminology, and own the end-to-end data lifecycle of TV set data deliverables.
• Data modelling, solutions and production of data deliverables based on client requirements, by using logical and efficient algorithms that can be implemented.
• Translate business requirements into reports and deliverable structures. Proficient in Model Documentation.
• Effectively manage issue escalations, adopting appropriate escalation pathways with minimum supervision.
• Anticipation, early detection, prevention, and management of 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 of research deliverables
• Quality and accuracy of market intelligence
• Peer feedback and client satisfaction/retention

• Masters Degree with a specialization in business, economics, statistics, mathematics, engineering, commerce and/or data science is preferred. Bachelors degree in one of the above specializations is a must.
• Prior experience of four years or more in data modelling and analysis, with 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 and adequate knowledge of working with various file formats such as Parquet, JSON, csv.
• Basic level knowledge of AWS S3, Lambda, Athena would be nice to have. Enough to navigate and make necessary minor changes to code that we have hosted online, if necessary.
• 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.
• Experience and knowledge in relevant technology are preferred.

Ethics & Transparency:

• Compliance with global regulations (like GDPR) to protect consumer data.
• Clear communication of research methods and processes ensures clients understand how data was collected and analyzed.
• Take ownership of assigned project tasks and proactively engage with all stakeholders to ensure effective communication.
• Understanding and commitment to Research & Analytics goals, objectives, and values in action, together with relevant policies and guidelines.