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 strong analytics engineering skills to join our data team. In this role, you will conduct deep business analysis while also building and maintaining the data models and infrastructure that support analytics across the organization. The ideal candidate combines analytical expertise with technical skills in data modeling and transformation, delivering both actionable insights and scalable data products that drive decision-making.

What you'll be doing:

• Translate complex data into business-relevant insights, ensuring that data-driven decisions are aligned with company goals
• Analyze business performance metrics to identify opportunities for growth and improvement
• Build and maintain scalable data models using modern data stack tools (dbt, SQL) to support ongoing analysis
• Create dashboards and reports that track key metrics and communicate results to stakeholders
• Collaborate with business teams across the organization to support strategic initiatives
• Design efficient data structures that enable both ad-hoc analysis and automated reporting

Business Analysis & Insights

• Conduct deep-dive analyses to understand business performance, user behavior, and market trends
• Develop hypotheses and design analyses to answer key business questions
• Present findings and recommendations to stakeholders, including senior leadership
• Partner with business teams to define KPIs and success metrics for various initiatives
• Perform exploratory data analysis to uncover new opportunities and insights

Data Modeling & Technical Infrastructure

• Build and maintain data models using dbt or similar tools to support scalable analytics
• Create reusable data assets and standardized metrics definitions
• Implement data quality checks and monitoring to ensure analysis accuracy
• Work with data engineering teams to optimize data pipeline performance
• Design data structures that balance analytical flexibility with performance

Analytics Enablement

• Partner with analysts and business users to understand reporting and analysis needs
• Create self-service analytics capabilities through well-designed data models and documentation
• Provide training and support to help teams effectively use data assets
• Build automated reporting solutions and standardized metrics definitions

Cross-Function Collaboration

• Act as the technical liaison between data engineering and business teams
• Present data architecture decisions and recommendations to technical and non-technical stakeholders
• Work closely with data engineering to ensure compliance and best practices
• Support ad-hoc analysis and data requests from various business teams

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 related field
• 3+ years of experience in data