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Regional VP, Investment Analytics

Company Description

We’re passionate about giving talent a platform to perform where everyone can shape and grow their own career in the way that works for them.

At Jellyfish, our people are our biggest asset. The experiences and unique insights each individual brings to Jellyfish are what create the culture we are so proud of, and that culture is seen at every one of our offices around the globe as we continue to build one of the world's fastest-growing teams within an ever-expanding network.

We work with some of the biggest brands on the planet, and as Google’s key global partner, we provide the right technology strategy and training, while fostering strong relationships.

Our 4 values

Be Positive: do you attempt to see the best in everyday situations and use challenges as learning experiences?

Be the Solution: do you enjoy finding unique solutions with a problem-solving team?

Be Accountable: do you believe in taking ownership of your work and want to work with a team that empowers each other to achieve their best?

Be Passionate: do you enjoy what you do and want to work with a team that encourages your growth?

If you share these values and want to be part of our dynamic team, we’d love for you to join us on our journey as One Jellyfish.

Job Description

Join our powerful and diverse team at Jellyfish, where we share a common goal of using data to inspire clients, partners, and each other.

As the Regional VP, Investment Analytics you will lead the development of actionable knowledge-driven insights and analyses in marketing optimizations. You will oversee the building and leverage findings from marketing mix models.  You will provide strategic recommendations to key business stakeholders that are grounded in statistics, partnering with key stakeholders to drive insights derived from business goals.

The ideal candidate for this position should have an analytical foundation in Marketing, with experience working with:  Cross channel attribution, Marketing mix/media mix modeling, Top-down/bottom-up attribution modeling, Regression analysis – specific linear regression/log-linear regression, Forecast modeling, and Marketing optimization

You will lead complex data science solutions, mentor team members, drive multi-capability presentations, and take ownership of KPIs. Join us in our mission to deliver data-inspired excellence!

Day-to-day Responsibilities:

  • Collaboration and Impact: Consistently collaborate with other Jellyfish teams to ensure that team skills have a positive impact on project outcomes. (10%)
  • Data Science Advocacy: Dedicate time to explaining and championing the use of data science methodologies such as Media Mix Models, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights. (20%)
  • Communication and Leadership: Effectively communicate strategy, progress, and plans to respective leadership groups.
  • Strategic Planning: Collaborate with Growth, Client Management, and other capabilities to plan solutions required to deliver for global Jellyfish clients. Anticipate client needs and develop proactive strategies to address them. (10%)
  • Product Pitching: Allocate time to pitch new and existing Data Science products to both new and existing clients, with a focus on innovation and value proposition. (10%)
  • Visionary Leadership: Articulate a compelling vision for how predictive analytics and AI can further enhance Jellyfish products and services over the next two years. Dedicate time and resources to staying ahead of industry trends and technological advancements. (5%)
  • Accountability: Be accountable for individual and team Key Performance Indicators (KPIs). Set clear targets and monitor progress towards achieving them, providing support and guidance as needed. (5%)
  • Testing Framework Development: Outline a yearly plan for testing frameworks on the top 20 clients, allocating appropriate resources and empowering junior team members to take ownership of client communications related to these frameworks throughout the year. (5%)

Planning, Coordination & Strategy:

  • Thought Leadership: Be a Jellyfish thought leader, providing support both internally and externally. Share insights, best practices, and innovative ideas to elevate the organization's profile and industry reputation. (5%)
  • Case Study Development: Curate and create case studies highlighting instances where mathematics and data science have been central to enhancing client performance. Develop these materials for both internal and external use. (10%)
  • Team Development: Share innovative ideas and experiences to develop and grow other Jellyfish teammates. Mentorship and skill development initiatives are crucial for team growth. (5%)
  • Capability Growth: Provide strategic development and growth of the Investment Analytics capability to contribute to the delivery of the products it supports. Identify opportunities for expansion and improvement within the analytics function. (5%)
  • Partnership Development: Work closely with platform partners to grow the suite of mathematical techniques for Media Mix Models, leveraging both open-source and in-house code to create a best-in-class offering for clients. (5%)

Inspiring Vision: Inspire team members to align with Jellyfish's global initiatives. Foster a culture of collaboration, innovation, and excellence within the team. (5%)

Qualifications

Knowledge and skills:

  • 8+ Years of experience in a marketing analytics role; 3+ years of experience in a leadership role
  • Masters or above in Statistics or a similar mathematically inclined degree
  • Excellent understanding of machine learning techniques and algorithms, such as k NN, Naive Bayes, SVM, Decision Forests, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Robust knowledge of statistical modelling and machine learning techniques
  • Strong experience with descriptive statistics and visualization tools, and sign off new products with a team
  • You proactively seek opportunities to improve the resource and skills mix
  • You are a thought leader both internally and externally
  • You are able to articulate the benefits of Brand Strategy, Data Science, and Paid Media as well as highlight how they may solve clients' problems
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable

Additional Information

What we offer?

Growth Opportunities: We believe in investing in our employees' professional development and provide ample opportunities for growth, including training programs, mentorship, and the chance to work on high-profile projects.

Collaborative and Inclusive Environment: Join a team of talented individuals who are passionate about what they do. We foster a collaborative and inclusive environment where everyone's ideas and contributions are valued, regardless of their background or identity.

Cutting-Edge Technology, Training, and Development: As a leader in the digital industry, we provide access to cutting-edge technology and tools that empower our employees to deliver exceptional results for our clients.

Global Network: Join a global network of digital experts and have the opportunity to work with diverse teams from different cultures and backgrounds. Our global presence opens doors to exciting international projects and collaborations, fostering a rich and inclusive work environment.

Competitive Compensation and Benefits: We offer competitive salaries and benefits packages to attract and retain top talent. Your hard work and dedication will be rewarded.

Work-Life Balance: We believe in the importance of work-life balance and strive to provide a supportive environment that allows our employees to thrive both personally and professionally. We value the well-being and happiness of our team members. We offer a flexible, hybrid work model (40% WFO / 60% WFH).

Join us at Jellyfish and be part of a powerful, inclusive, and thriving community that embraces diversity and empowers you to reach your full potential.

Jellyfish positions are open to everyone that fits the qualifications. All backgrounds and diverse talents are cherished and welcomed.

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Average salary estimate

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What You Should Know About Regional VP, Investment Analytics, Jellyfish

At Jellyfish, we're excited to announce an incredible opportunity for a Regional VP, Investment Analytics based in New York, NY. This is your chance to step into a dynamic role where your expertise in marketing analytics will truly shine! As the Regional VP, you'll dive into the fast-paced world of investment analytics, leading a skilled team dedicated to creating actionable, data-driven insights for our clients. Your analytical prowess will directly support the development of marketing mix models and provide strategic recommendations that align with business objectives. We're looking for a leader with solid experience in cross-channel attribution and regression analysis who's ready to mentor others while advocating for innovative data science methodologies. The collaborative spirit at Jellyfish means you'll work closely with various teams to enhance campaign performance and deliver exceptional results. You’ll be at the forefront of strategic discussions, pitching new products and nurturing partnerships with platform stakeholders. With a commitment to accountability and excellence, you will also set KPIs for both yourself and your team, ensuring everyone is aligned on achieving our common goals. Join us at Jellyfish – a place where your insights will inspire teams and drive growth, all while being part of a culture that values creativity, accountability, and passion. Let’s redefine what's possible together!

Frequently Asked Questions (FAQs) for Regional VP, Investment Analytics Role at Jellyfish
What responsibilities does the Regional VP, Investment Analytics at Jellyfish hold?

The Regional VP, Investment Analytics at Jellyfish leads the development of data-driven insights and marketing optimization strategies. This includes overseeing the construction of marketing mix models, providing strategic recommendations, and collaborating with teams to deliver impactful results. As a leader, you'll advocate for advanced data science methodologies, drive KPIs, and ensure that analytics efforts enhance client performance.

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What qualifications are necessary for the Regional VP, Investment Analytics position at Jellyfish?

To excel as the Regional VP, Investment Analytics at Jellyfish, candidates should have over 8 years of experience in marketing analytics with at least 3 years in leadership roles. A master’s degree in Statistics or a related field is essential. Proficiency in machine learning techniques, statistical modeling, and data visualization tools is critical for this role.

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How does teamwork influence the Regional VP, Investment Analytics role at Jellyfish?

Teamwork is a crucial aspect of the Regional VP, Investment Analytics position at Jellyfish. You'll be collaborating with various teams to ensure that your analytical insights positively impact project outcomes. This collaborative approach fosters innovation and allows you to share best practices, enhancing overall campaign performance.

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What kind of projects will the Regional VP, Investment Analytics lead at Jellyfish?

As the Regional VP, Investment Analytics at Jellyfish, you'll lead complex data science projects focused on marketing mix modeling and optimization strategies. You'll also take charge of developing yearly testing frameworks for major clients and curate case studies that showcase how data science drives client success. This role encourages a proactive stance in addressing client needs.

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What career growth opportunities can the Regional VP, Investment Analytics expect at Jellyfish?

At Jellyfish, the Regional VP, Investment Analytics will have significant growth opportunities. We prioritize professional development through training programs and mentorship, creating pathways to work on high-profile projects. You'll play a pivotal role in shaping the investment analytics capability and driving innovative solutions, all within a thriving and supportive environment.

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Common Interview Questions for Regional VP, Investment Analytics
Can you explain your experience with marketing mix modeling?

Certainly! When addressing this question, focus on specific projects where you built or utilized marketing mix models to optimize campaign performance. Discuss the methodologies you employed, the results achieved, and how your insights influenced business decisions. Quantifying the impact using figures or percentages will strengthen your response.

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How do you ensure collaboration between analytics and client management teams?

To answer this, emphasize the importance of clear communication and shared objectives. Discuss strategies you've used to foster collaboration, such as regular meetings, joint project initiatives, or cross-functional workshops. Providing specific examples of successful collaborations will demonstrate your proactive approach.

Join Rise to see the full answer
What statistical tools and programming languages do you prefer for analysis?

When responding, list the tools and languages you've used and explain why you prefer them. Mention your proficiency in SQL, R, or Python, and how you utilize these tools to conduct regression analysis and data visualizations. Sharing insights on how these tools enhance your analytical capabilities can bolster your answer.

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Describe a time you had to present complex data insights to non-technical stakeholders.

Share a specific instance where you simplified complex data for an audience without a technical background. Focus on how you highlighted key insights, using visuals or analogies that resonated with the stakeholders. Emphasizing your ability to communicate effectively can set you apart.

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What strategies do you use for forecasting in marketing analytics?

Outline the forecasting techniques you apply, such as time series analysis or regression models. Discuss your approach to incorporating external factors, tracking performance against forecasts, and refining models over time. Providing context around real-world applications strengthens your credibility.

Join Rise to see the full answer
How do you stay ahead of trends in data science and analytics?

Discuss your proactive approach to continuous learning, such as attending industry conferences, participating in webinars, or engaging in online courses. Highlight any specific communities or resources you leverage to stay updated. This shows your commitment to professional growth and innovation.

Join Rise to see the full answer
What motivates you to lead a team in analytics?

Emphasize your passion for mentoring and developing talent within the analytics field. Discuss how you enjoy fostering a collaborative environment and witnessing team members grow. Providing personal anecdotes can highlight your genuine motivation and leadership style.

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How do you measure the success of your analytics initiatives?

Explain your KPI framework and how you align metrics with business objectives. Discuss the importance of setting clear targets upfront and the role of data-driven decision-making in assessing success. Providing examples of how you’ve evaluated and adjusted initiatives based on key metrics can add depth to your response.

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What are the key qualities of a successful VP of Investment Analytics?

Identify vital qualities such as leadership, analytical expertise, strong communication skills, and the ability to inspire teams. Discuss how these traits enable an individual to effectively drive analytics initiatives, collaborate with stakeholders, and achieve business goals. Providing a personal perspective on these qualities can resonate well.

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Can you describe your experience with programming languages relevant to data analysis?

Outline your experience with specific programming languages like Python, R, or SQL, and provide examples of projects where you've utilized these skills. Discuss how you apply these languages in data manipulation, analysis, and visualization to derive meaningful insights. Be sure to articulate the value these skills bring to analytics efforts.

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Jellyfish is a new kind of marketing performance company for the platform world, where success demands a creative, multi-platform mindset. We help brands thrive, by navigating, connecting, and harnessing the platforms that drive growth. We’re mor...

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Full-time, hybrid
DATE POSTED
December 21, 2024

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