Senior Data Analyst

Summary

Join Later, a leading social media and influencer marketing company, as a Senior Data Analyst. You will leverage data-driven insights to optimize product performance, develop pricing strategies, and drive growth initiatives. This role requires translating complex data into actionable business insights, building dashboards and reports, and collaborating with cross-functional teams. The ideal candidate possesses strong analytical and communication skills, experience in A/B testing and pricing analysis, and proficiency in SQL, Python or R, and data visualization tools. Later offers a competitive salary, stock options, and various benefits. We are committed to building an inclusive and equitable workplace.

Requirements

• 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

Responsibilities

• 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
• 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
• 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
• 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
• 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

Preferred Qualifications

• Familiarity with subscription-based business models or SaaS pricing strategies
• Knowledge of customer segmentation techniques and CLV analysis

Benefits

• Stock options
• Various benefits plans
• Salary Range: $100,000 - $126,500 USD
• Remote work options for select positions