Marketing Analytics Specialist

agilegrid solutions • United State
Remote
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AI Summary

Join our dynamic team as a Marketing Analytics Specialist to develop predictive models, analyze complex data sets, and collaborate with cross-functional teams to optimize marketing efforts, enhance customer engagement, and drive revenue growth. This role requires expertise in customer acquisition cost (CAC), lifetime value (LTV), and subscription analytics. The ideal candidate will have 3-5 years of experience in data science, analytics, or related fields.

Key Highlights
Develop predictive models for churn, LTV, and CAC
Analyze ticket sales data to identify trends and forecast demand
Collaborate with product, marketing, and analytics teams to translate business needs into data-driven solutions
Key Responsibilities
Develop and maintain predictive models for churn, LTV, and CAC
Analyze ticket sales data to identify trends and forecast demand
Collaborate with product, marketing, and analytics teams to translate business needs into data-driven solutions
Technical Skills Required
Python SQL Snowflake AWS Tableau Looker Spark
Benefits & Perks
Competitive compensation packages
Comprehensive health, dental, and vision insurance plans
Paid time off
Wellness programs
Nice to Have
Experience in entertainment, media, ticketing, or subscription-based businesses
Familiarity with forecasting models, time-series analysis, and data visualization tools

Job Description


About The Company

Jobot is a leading organization dedicated to connecting talented professionals with innovative companies across various industries. Renowned for its commitment to fostering an inclusive and dynamic work environment, Jobot specializes in matching skilled candidates with roles that promote growth, creativity, and impact. With a focus on leveraging cutting-edge technology and strategic insights, Jobot strives to create meaningful employment opportunities while maintaining high standards of integrity and excellence. The company's mission is to empower individuals and organizations alike by providing tailored career solutions and fostering long-term success.

About The Role

We are seeking a highly skilled Marketing Analytics professional with expertise in customer acquisition cost (CAC), lifetime value (LTV), and subscription analytics to join our dynamic team. This role sits at the intersection of data science, marketing strategy, and business operations, offering an exciting opportunity to influence key growth initiatives through advanced analytics. The successful candidate will develop predictive models, analyze complex data sets, and collaborate with cross-functional teams to optimize marketing efforts, enhance customer engagement, and drive revenue growth. This position provides a unique chance to work within a fast-paced, innovative environment where data-driven decision-making is at the core of our success.

Qualifications

The ideal candidate will have 3-5 years of experience in data science, analytics, or related fields, with proven expertise in building models related to churn prediction, LTV, CAC, and other consumer metrics. Proficiency in Python and SQL is essential, along with experience working with modern data platforms such as Snowflake and cloud services like AWS. A solid understanding of statistical methods, machine learning techniques, and experimental design is required. Candidates should have demonstrated ability to analyze large, complex datasets and translate findings into actionable insights. Strong communication skills are necessary to effectively present technical results to non-technical stakeholders. Preferred qualifications include experience in entertainment, media, ticketing, or subscription-based businesses, familiarity with forecasting models, time-series analysis, and data visualization tools such as Tableau or Looker. Exposure to big data tools like Spark is a plus.

Responsibilities

The successful candidate will be responsible for developing and maintaining predictive models for churn, LTV, and CAC to inform strategic growth and retention initiatives. Analyzing ticket sales data to identify trends, forecast demand, and optimize pricing and promotional strategies will be key. The role involves generating insights into customer behavior across subscription and transactional products, collaborating closely with product, marketing, and analytics teams to translate business needs into data-driven solutions. Designing and analyzing A/B tests to evaluate product features, campaigns, and pricing strategies is a core part of the role. Additionally, the candidate will build scalable data pipelines and workflows in partnership with data engineering teams, ensuring data quality and accessibility. Clear communication of findings to both technical and non-technical stakeholders is vital to facilitate informed decision-making and strategic planning.

Benefits

Joining our team offers numerous benefits, including the opportunity to work with a leading brand in the entertainment industry in a fully remote environment that provides flexibility and work-life balance. We offer competitive compensation packages aligned with industry standards, along with comprehensive health, dental, and vision insurance plans. Employees have access to professional development programs, ongoing training, and career advancement opportunities. Our culture emphasizes innovation, collaboration, and ownership, encouraging team members to experiment, take initiative, and make meaningful contributions. Additional perks include paid time off, wellness programs, and a supportive work environment designed to foster creativity and growth.

Equal Opportunity

Jobot is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We celebrate diversity in all its forms and ensure that all qualified candidates receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other protected characteristic. We prohibit harassment or discrimination of any kind and adhere to all applicable federal, state, and local laws. Our policies are designed to promote a respectful, equitable, and welcoming environment for everyone. We consider qualified candidates with criminal histories in a manner consistent with relevant laws and regulations.


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