Data Analyst

Responsibility

The common responsibilities for this position include performing thorough research and creating innovative hardware/software algorithms, including testing, deployment, and ongoing maintenance. Analyzing diverse data sets to extract meaningful insights for statistical analysis is essential. The role involves developing creative methodologies and solutions to overcome complex challenges and leading the research and development of machine learning modules and artificial intelligence. Enhancing data integration pipelines and tools to ensure smooth operation of machine learning and artificial intelligence applications is also required. Additionally, the position entails developing and maintaining automated processes for campaign execution and audience segmentation using SQL and Python, creating dynamic and reusable segmentation models, and collaborating with marketing and CRM teams to define campaign requirements and deliver data solutions. Analyzing campaign performance and providing insights into key metrics, building dashboards and reports to visualize campaign performance and trends, optimizing workflows for improved campaign delivery, identifying and troubleshooting issues in data pipelines and campaign workflows, and staying updated on emerging trends in data analytics and campaign automation are also key responsibilities.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%