Lead Data Analyst

Overview

The Lead Data Analyst will play a pivotal role in analyzing and interpreting complex data sets within the media domain. With a focus on leveraging Snowflake and Python the candidate will drive data-driven decisions and insights. This hybrid role requires a seasoned professional with 8 to 12 years of experience ensuring impactful contributions to our media projects.

Responsibilities

• Lead the analysis of complex data sets to identify trends and patterns that inform media strategies.
• Oversee the integration and management of data using Snowflake to ensure seamless data flow and accessibility.
• Provide insights and recommendations based on data analysis to support decision-making processes.
• Collaborate with cross-functional teams to align data initiatives with business objectives.
• Develop and maintain data models and reporting systems to enhance data-driven decision-making.
• Utilize Python to automate data processing and analysis tasks increasing efficiency and accuracy.
• Ensure data quality and integrity through rigorous validation and cleansing processes.
• Design and implement data visualization solutions to effectively communicate insights to stakeholders.
• Monitor and evaluate the performance of data-driven initiatives to ensure alignment with business goals.
• Stay updated with industry trends and best practices to continuously improve data analysis methodologies.
• Support the development of data governance policies to maintain data security and compliance.
• Mentor junior analysts to foster a culture of continuous learning and improvement.
• Contribute to the companys purpose by driving impactful media insights that enhance societal engagement.
  
  

• Possess extensive experience in Snowflake for data integration and management.
• Demonstrate proficiency in Python for automating data tasks and analysis.
• Have a strong background in the media domain understanding its unique data challenges.
• Exhibit excellent analytical and problem-solving skills to derive actionable insights.
• Show capability in designing data models and reporting systems.
• Display strong communication skills for effective collaboration with stakeholders.
• Maintain a proactive approach to learning and applying new data analysis techniques.