The Data Analyst will play a critical role on the Marketing Analytics team in analyzing customer data, customer engagement, and content. This role will involve working closely with various departments to provide insights that drive strategic decisions. The ideal candidate will have strong skills in SQL, Excel, and communication, combined with a solid business acumen to effectively
translate data into actionable business strategies.
Key Responsibilities:
• Viewership Analysis:
o Analyze customer data to identify trends, patterns, and insights.
o Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to customers.
o Provide recommendations to improve content strategy and programming decisions based on data insights.
• Customer Engagement:
o Evaluate customer engagement metrics and identify opportunities to enhance user experience.
o Collaborate with marketing and product teams to assess the impact of campaigns and promotions.
o Conduct A/B testing and other experiments to optimize engagement strategies.
• Content & Packaging:
o Assess the effectiveness of content offerings and pricing models.
o Analyze the performance of different offerings to determine customer preferences.
o Work with content acquisition and product teams to develop data-driven packaging strategies.
• Churn Analytics:
o Analyze churn data to understand customer attrition rates and underlying causes.
o Develop predictive models to identify at-risk customers and recommend retention strategies.
o Provide insights to customer service and retention teams to improve customer loyalty.
Qualifications:
• Technical Skills:
o Proficient in SQL for data extraction, manipulation, and analysis.
o Advanced Excel skills, including the use of pivot tables, VLOOKUPs, and complex formulas.
o Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
o Familiarity with statistical analysis and predictive modeling techniques.
• Business Skills:
o Strong analytical and problem-solving skills with a keen attention to detail.
o Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders.
o Solid business acumen with an understanding of how data-driven insights can impact business strategy.
• Education and Experience:
o Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field.
o 5+ years of experience in data analysis.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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