Job Summary
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.
Qualifications
- 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.
