Senior Analytics Engineer

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October 15

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Creative Market

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Marketplace • eCommerce • Media

Creative Market is an online platform that empowers creators by offering a marketplace for unique design assets. It caters to designers and creative professionals by providing a vast collection of fonts, templates, graphics, photos, and more. The platform supports both buyers and sellers, offering tools for designers to market their work and for users to discover distinctive and high-quality creative resources. Creative Market also leverages analytical and advertising tools to enhance user experience and marketing strategies.

11 - 50 employees

Founded 2013

🏪 Marketplace

🛍️ eCommerce

📱 Media

💰 $7M Series A on 2017-10

📋 Description

• Leading efforts to define and build success metrics for Marketing and Product programs and campaigns that drive meaningful growth. • Delivering well-defined, transformed, tested, documented, and code-reviewed datasets that enable confident decision making. • Proactively analyzing data and insights, and communicating clear opportunities to stakeholders to drive performance. This is not a passive reporting role. • Working with Product Managers to analyze customer trends and product performance to improve company OKRs. • Conducting exploratory analysis to uncover new areas of opportunity, generate hypotheses, and quickly assess and clearly communicate the potential upside of a given opportunity. This person will make recommendations based on findings to drive quality business decisions. • Managing the integration of tracking requirements for new products and features, and collaborating closely with cross-functional teams to ensure accurate data capture. • Identifying and integrating valuable data sources using ETL tools (e.g. Fivetran, Stitch) or custom pipelines in Python (we use Dagster). • Collaborating with research and engineering teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision making across the organization. • Implementing processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders that depend on it. • Developing and maintaining scalable data pipelines and building out new API integrations to support growth in data volume and complexity. • Defining and maintaining clear data documentation, definitions, and governance to ensure consistency across metrics like MAU and MRR. • Translating analytical findings into strategic recommendations that drive product enhancements, customer satisfaction, and revenue growth.

🎯 Requirements

• 5+ years of experience in data analysis or analytics engineering roles with a progressive increase in responsibility. • Advanced proficiency in SQL. You have experience querying large and complex datasets efficiently and structuring queries that are both performant and easy to understand. Experience with dbt and building well-structured DAGs of data models is a strong plus! • Proficiency with Metabase or a similar BI tool. • Proven data wrangling and modeling skills. You can clean, transform, and enrich even the messiest data, structuring it to facilitate accurate and scalable analysis. • Proficiency in Python. You’re comfortable writing tested, version-controlled programs (we use Git), and ideally have experience with ETL tools or orchestration frameworks such as Dagster. • Experience with cloud data platforms and scalable data architecture. You're comfortable working with data in cloud environments (e.g., Snowflake) and designing pipelines and models that can scale with growing data volume and complexity. • Experience with Amplitude and Terraform is helpful, but not essential! • Excellent problem-solving abilities. You have a track record of developing creative and effective solutions to complex analytical challenges. • Strong communication skills. You can translate complex technical insights into clear, compelling narratives for both technical and non-technical stakeholders. • Natural collaboration and organizational skills. You work effectively across teams, manage multiple priorities, and take initiative to lead data-driven projects from concept to impact. • Expertise in data mining and analysis methods. You’re skilled at uncovering insights that drive product innovation and business growth.

🏖️ Benefits

• 100% remote: so you can work where you feel most comfortable and inspired. • Stay healthy: generous medical and dental for both you and your dependents. • Relax and unwind: with plenty of paid vacation, and paid sick time for when you need it. • Paid volunteer days: for you to spend giving back to nonprofits/organizations that are important to you. • Celebrate: we observe both US and Canadian holidays - and a whole week of rest in December. • Family leave: paid time off for when your family grows. • Save up: put pre-tax savings into a 401k/RRSP - we’ll match a portion of your contributions. • Fitness fund: to help you feel your very best. • Equipment fund: so you can deck out your home office. • Monthly coffee budget: grab that latte - it’s on us. • Learning and development: keep growing with paid courses, books, and conferences. • Hang out: spend time together with your team virtually or in-person through culture events, monthly yoga, socials, and more. • Pro tools: MacBook Pro (or Air) and all the tools you need to do a great job.