The Data Analyst will play a crucial role in analyzing media performance, delivering campaign insights, and supporting business analytics initiatives.

•  Analyze large datasets across multiple channels, including digital, social, and traditional media, to derive insights on campaign performance, audience behavior, and engagement patterns.
•  Generate actionable insights that support campaign optimizations and strategic decision-making.
•  Develop and deliver in-depth media performance reports and dashboards, tracking key KPIs such as ROI, engagement, reach, conversions, and customer retention.
•  Provide clear, insightful analysis and recommendations for campaign improvements based on data trends and insights.
•  Perform advanced analytics, including customer segmentation, lifetime value analysis, attribution modeling, and predictive modeling, to guide marketing strategies and customer experience enhancements.
•  Use statistical techniques to conduct A/B testing, identify patterns, and make data-backed recommendations for media planning and customer experience optimization.
•  Build and maintain dashboards in tools such as Tableau, Power BI, or Google Data Studio, presenting complex data in an easy-to-understand, visually compelling format.
•  Prepare regular and ad hoc reports for internal teams and clients, highlighting campaign effectiveness and strategic insights.
•  Work closely with the media, market research, strategy, and customer experience teams to provide data-driven insights that inform campaign planning, media buying, and content creation.
•  Stay up-to-date on the latest data analytics tools, media reporting technologies, and industry best practices.
•  Recommend and implement process improvements to enhance data collection, analysis, and reporting efficiency.
  

  Requirements:

•  Bachelor’s degree in Data Science, Statistics, Marketing Analytics, or a related field.
•  2+ years of experience as a Data Analyst, ideally within media, advertising, or a data-driven environment.
•  Strong analytical skills and proficiency in SQL, Excel, and at least one statistical programming language (Python or R).
•  Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
•  In-depth knowledge of media metrics and digital analytics tools (Google Analytics, Facebook Insights, etc.).
•  Proven ability to distill complex data into clear, actionable insights.
•  Detail-oriented with excellent organizational and problem-solving skills.
•  Strong communication skills, with the ability to present insights to both technical and non-technical stakeholders.