Early Career: Associate Data Science Product Manager - NYC

Red Ventures • Charlotte, NC

6h • $80,000 - $80,000

About The Position

Skip the “entry-level grunt-work,” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that gives in-depth training around RV’s beliefs, culture, business model, and leadership. Your first few weeks in training will be alongside a cross-functional cohort group of new RV employees starting their careers across all roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career at Red Ventures.
After your initial onboarding period, you’ll join one of RV’s teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. You will also receive ongoing learning and development opportunities over the first year of career with the goal of leveling up in two years with strong performance.
The Launch Program is NOT a rotational program or training role that could end in a job offer – it’s a true full-time role that gives you the Red Ventures 101 before turning you loose to dive in and make a measurable impact on your team!
What You’ll Do:
Join a functional area in our organization such as SEO, Customer Experience, Paid Media, and Business Operations to find your niche and understand the challenges they face. You’ll work on identifying opportunities for data-driven improvements and advanced analytics solutions.
As an Analyst, you will bridge the gap between our vast data landscape and impactful business solutions. Your focus will not just be on the technical side, but also on the application of your solutions in a real business context. You will have the responsibility and autonomy to drive decisions and behavior changes.
Translate complex business problems into clear, measurable projects. You'll see the big picture but also dive into details to uncover new opportunities for growth and optimization.
Leverage data processing tools to manipulate large datasets to create data-based solutions, leveraging analytical techniques and RV’s proprietary technology to discover and interpret deeper trends and relationships.
Analyze the impact of your experiments, synthesizing and presenting your findings in a way that clearly communicates the impact and aligns stakeholders to create desired next steps.
You'll be expected to be an owner of your processes and workstreams, identifying where technology can be deployed to solve business problems in ways we haven’t imagined before.

Requirements

• Graduating Summer 2026 with a relevant undergraduate degree such as (but not limited to) business, data analytics, math, statistics, computer science, or a combination of these.
• Start date in our August 2026 cohort.
• Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems.
• Ability to collect, mine, and manipulate data from disparate data sources, with a willingness to dig deeper and understand the process that creates data.
• Demonstrated ability to drive decisions and behavior changes through analytical capabilities and data-driven solutions, and the ability to measure and analyze the impact of these solutions.
• Demonstrated ability to synthesize complex data into actionable insights, and effectively communicate these insights and recommendations to both technical and non-technical stakeholders.
• Foundational analytics toolkit - data extraction, manipulation, and visualizations (e.g., SQL, Tableau, Advanced Excel).
• Entrepreneurial mindset with strong business acumen and capability of coming up with creative ideas to create value for consumers and businesses.
• Scrappy, tenacious, and self-motivated.
• BUT - also a team player with no ego, a competitive spirit, and great sense of humor.
• Passionate about working in a dynamic, fast-paced, performance-driven environment.

Nice To Haves

• Familiarity with machine learning, statistical modeling, and optimization, with hands-on experience working directly or indirectly on a related problem. (e.g., R, Python)

Responsibilities

• Join a functional area in our organization such as SEO, Customer Experience, Paid Media, and Business Operations to find your niche and understand the challenges they face. You’ll work on identifying opportunities for data-driven improvements and advanced analytics solutions.
• As an Analyst, you will bridge the gap between our vast data landscape and impactful business solutions. Your focus will not just be on the technical side, but also on the application of your solutions in a real business context. You will have the responsibility and autonomy to drive decisions and behavior changes.
• Translate complex business problems into clear, measurable projects. You'll see the big picture but also dive into details to uncover new opportunities for growth and optimization.
• Leverage data processing tools to manipulate large datasets to create data-based solutions, leveraging analytical techniques and RV’s proprietary technology to discover and interpret deeper trends and relationships.
• Analyze the impact of your experiments, synthesizing and presenting your findings in a way that clearly communicates the impact and aligns stakeholders to create desired next steps.
• You'll be expected to be an owner of your processes and workstreams, identifying where technology can be deployed to solve business problems in ways we haven’t imagined before.

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level