Senior Data Analyst

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services. 

Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity.

We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest.

We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. 

About this position: We are seeking a Senior Data Analyst with a strong background in A/B testing, pricing strategies, and growth analytics to join our dynamic team. In this role, you will leverage data-driven insights to optimize product performance, develop and refine pricing strategies, and drive impactful growth initiatives. The ideal candidate is a strategic thinker with hands-on experience in experimentation, pricing analysis, and product performance measurement, combined with the ability to connect the dots between data and actionable business outcomes. What you'll be doing: Translate complex data into business-relevant insights, ensuring that data-driven decisions are aligned with company goals and priorities. Analyze product performance metrics to identify opportunities for growth and improvement, delivering clear and concise insights that address the "so what" for stakeholders. Build dashboards and reports to track key metrics and communicate results to both technical and non-technical audiences. Collaborate with stakeholders across Product, Marketing, and Finance to support strategic initiatives and develop long-term growth plans. Stay up-to-date with industry trends and best practices in analytics, experimentation, and pricing to drive continuous improvement. Growth Analytics & Strategy Collaborate with product, marketing, and finance teams to identify growth opportunities and define key performance metrics. Analyze user behavior, product performance, and market trends to provide actionable insights for growth strategies. Develop and maintain dashboards to track growth initiatives, experiment results, and overall product performance. A/B Testing & Experimentation Design and execute A/B tests and multivariate experiments to evaluate new product features, UX changes, and pricing models. Monitor and analyze test results, providing clear recommendations based on statistical significance and business impact. Champion a culture of experimentation, ensuring best practices in testing methodologies and analysis. Pricing Strategy & Analysis Develop and optimize pricing models, tiers, and strategies to maximize revenue and customer retention. Conduct pricing sensitivity studies and analyze competitor pricing to inform recommendations. Partner with the finance and sales teams to align pricing strategies with overall business objectives. Cross-Functional Collaboration Act as the key analytics partner for product and growth teams, providing insights to influence decision-making. Present findings and recommendations to stakeholders, including senior leadership, in a clear and compelling manner. Work with data engineering teams to ensure the availability and accuracy of data needed for analysis. We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply! Bachelor's or Master's degree in Economics, Statistics, Data Science, Business Analytics, or a related field. 4+ years of experience in product analytics, growth analytics, or related roles, with a focus on testing and pricing strategies. Proficient in SQL, Python or R, and data visualization tools (e.g., Tableau, Looker, Power BI). Strong understanding of A/B testing platforms (e.g., Optimizely, Google Optimize) and statistical methods. Experience working with pricing tools and methodologies. Exceptional analytical and problem-solving skills with a focus on actionable insights. Strong communication skills, capable of translating complex data into business narratives. Highly collaborative with the ability to influence cross-functional teams and drive consensus. Familiarity with subscription-based business models or SaaS pricing strategies. Knowledge of customer segmentation techniques and CLV analysis. How you work:  You're proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes.  Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results. Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics.  Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support. You share insights to help the team stay ahead and make informed decisions. You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you.  You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration.  Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.  Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range:  $100,000 - $126,500 USD #LI-Remote Where we work We have hubs in Boston, MA; Vancouver, BC; Toronto, ON; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. 

Diversity, inclusion, and accessibility At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.