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 analysis, business intelligence, or analytics roles
- Expert-level proficiency in SQL and experience with data transformation tools (dbt preferred)
- Strong analytical and problem-solving skills with ability to translate data into actionable business insights
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Proficiency in Python or R for statistical analysis and data manipulation
- Experience with data visualization tools (Tableau, Looker, Power BI) and dashboard development
- Understanding of statistical methods and experimental design principles
- Knowledge of data modeling principles and dimensional modeling concepts
- Experience with version control (Git) and analytics code management
- Familiarity with A/B testing platforms and statistical testing methodologies
- Understanding of business metrics and KPIs across different functions (marketing, product, finance)
- Experience working with subscription-based or SaaS business models
- Knowledge of customer segmentation and cohort analysis techniques
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 eligible to participate in various benefits plans as part of their overall compensation package.
Salary Range:
$ 80,000- $100,000 USD
#LI-Hybrid #LI-Remote
Where we work
We have offices in Boston, MA; Vancouver, BC; 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.
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