Senior Vice President, Marketing Analytics and Insights

2 weeks ago

New York, New York, United States The Ladders Full time
About The Ladders


The Ladders is a prominent career advancement platform dedicated to connecting professionals with high-quality job opportunities. Our mission is to empower individuals to achieve their career aspirations through innovative solutions and exceptional service.

We pride ourselves on our commitment to excellence, creativity, and integrity, ensuring that our clients receive unparalleled support in their job search and career development.

Position Overview


The Marketing Analytics and Insights division at The Ladders is integral to our marketing strategy, providing essential data-driven insights that inform our business decisions and marketing initiatives.

The Senior Vice President of Marketing Analytics and Insights will be responsible for establishing a comprehensive analytics framework that evaluates the effectiveness of our marketing efforts and identifies opportunities for growth.

This role will involve enhancing performance metrics, conducting marketing mix modeling, and implementing testing methodologies across various channels to ensure alignment with our strategic objectives.

Additionally, the position will focus on leveraging existing data sources to uncover new insights and drive the adoption of advanced analytics tools within the organization.

Collaboration with cross-functional teams, including Corporate Strategy, Brand Management, and Sales, will be essential to align marketing strategies with overall business goals.

Key Responsibilities

Strategic Direction

  • Develop and execute a comprehensive analytics strategy that aligns with the company's marketing priorities and long-term objectives.
  • Play a pivotal role in shaping the annual brand strategy through data-driven insights.
  • Lead and mentor a dynamic team of analysts and data professionals, fostering a culture of growth and innovation.
Data Analysis and Insights:

  • Oversee the collection and analysis of marketing data from diverse sources, including sales performance, customer feedback, and digital engagement metrics.
Performance Evaluation:

  • Enhance performance dashboards and marketing mix models to assess the impact of marketing campaigns and identify areas for optimization.

Monthly Reporting:
Provide comprehensive insights to senior leadership on marketing performance, guiding strategic recommendations for improvement.

Quarterly Analysis:
Define marketing effectiveness and extract actionable insights for executive decision-making.

Incorporate various data streams, including testing results and media performance metrics, to inform strategic adjustments.


In-Depth Analysis:

Utilize analytics tools to identify areas requiring further investigation, leading teams to derive insights and recommendations on marketing performance across channels.


Benchmarking:
Continuously refine performance targets based on historical data and industry standards to establish a reliable framework for evaluation.

Vendor Management:
Lead the engagement with key analytics vendors to ensure the delivery of high-quality insights and data solutions.

Market Research:

  • Conduct comprehensive market research to gain insights into consumer behavior, market dynamics, and competitive positioning.
  • Implement real-time research solutions to support the organization’s multi-channel marketing needs.
Testing and Optimization:

Testing Strategy:

Refine existing testing methodologies to align with business objectives, developing new testing frameworks for marketing initiatives.


  • Review and standardize testing approaches across functions to ensure consistency and effectiveness.
Customer Insights:

  • Employ data segmentation techniques to identify distinct customer groups based on demographics and behaviors, tailoring marketing strategies accordingly.

Data Structuring:

Maintain a structured approach to customer insights, including segmentation analysis and reporting to support retention strategies.


  • Advance customer segmentation efforts to enhance targeting and reduce audience overlap in marketing campaigns.

Value-Based Segmentation:
Define segmentation strategies that prioritize customers based on their value to the business, including metrics such as lifetime value and acquisition costs.

Psychographic Insights:
Maintain psychographic segmentation to inform creative and campaign development efforts.

CRM Leadership:

  • Direct the CRM strategy and execution roadmap, focusing on customer acquisition, retention, and loyalty initiatives.
Predictive Analytics:

  • Develop predictive models to forecast marketing outcomes, leveraging analytics to anticipate trends and opportunities.
Reporting and Visualization:

  • Present key findings and insights to stakeholders through effective data visualizations and reports, ensuring clarity and accessibility of complex information.
Cross-Department Collaboration:

  • Work closely with various teams, including marketing, sales, and product development, to ensure alignment of marketing initiatives with broader business objectives.
Technology Management:

  • Stay informed about the latest marketing analytics tools and methodologies, collaborating with IT to implement new solutions as needed.
Continuous Improvement:

  • Foster a culture of continuous improvement by testing new ideas, measuring outcomes, and refining strategies based on insights and feedback.
Qualifications

Tenure: 10+ years of experience in marketing analytics and performance measurement

Education:
Bachelor's Degree in a relevant field such as economics, statistics, or marketing

Experience:
  • Proven experience with various marketing measurement techniques for both digital and traditional media.
  • Demonstrated ability to identify and implement processes that enhance data-driven decision-making.
  • Experience collaborating with media platforms and analytics vendors to improve marketing performance measurement.
  • Strong problem-solving skills with the ability to translate data insights into actionable business strategies.
  • Experience managing teams of data analysts and scientists.
  • Proficiency in digital analytics tools and visualization software, with familiarity in statistical modeling and predictive analytics.
  • Excellent communication skills to effectively engage with cross-functional teams and stakeholders.

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