What you'll do
Accountabilities:
Build, maintain, and optimize performance dashboards that provide clear visibility into paid media performance across channels such as SEM, Paid Social, Display, and Connected TV.
Develop, update, and manage SQL queries, data models, and reporting infrastructure to ensure accurate, scalable, and reliable analytics.
Configure, monitor, and troubleshoot marketing technology systems, including conversion tracking, tag management, and data integrations.
Conduct ongoing performance analysis, identify trends and anomalies, perform root-cause investigations, and deliver actionable recommendations to improve campaign outcomes.
Support the design, execution, and analysis of marketing experiments, including A/B testing and geo-based testing initiatives.
Contribute to attribution, incrementality measurement, forecasting models, and emerging channel evaluation to strengthen marketing decision-making.
Partner with marketing stakeholders to translate complex data into clear insights that drive growth and operational efficiency.
Utilize AI-powered tools to accelerate analytics workflows, improve reporting processes, and enhance insight generation.
Requirements
3-5 years of experience in marketing analytics, media analytics, business intelligence, or a related field, ideally within a direct-to-consumer environment.
Strong expertise in SQL with the ability to independently write, optimize, and troubleshoot complex queries.
Experience working with data transformation and analytics tools such as dbt, GitHub, Sigma, Tableau, or similar business intelligence platforms.
Solid understanding of paid media performance metrics, including CPC, CPA, CAC, and ROAS.
Hands-on experience with marketing technology and measurement systems, including pixel implementation, conversion tracking, and tag management platforms.
Knowledge of attribution methodologies, experimentation frameworks, incrementality analysis, or media mix modeling is highly valued.
Strong analytical mindset with the ability to uncover meaningful insights from large datasets and communicate findings effectively.
Self-motivated, proactive, and comfortable managing projects independently in a remote work environment.
Familiarity with AI-powered analytics tools and a willingness to incorporate emerging technologies into daily workflows.
Benefits
Competitive salary based on experience, skills, and geographic location.
Equity participation opportunities.
Comprehensive medical, dental, and vision insurance plans.
Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
Unlimited paid time off and company holidays.
Fully remote work flexibility with access to collaborative office environments when desired.
Generous paid parental leave program with transition support.
401(k) retirement plan.
Life insurance and short- and long-term disability coverage.
Monthly stipends for internet, mobile phone, and wellness expenses.
One-time home office reimbursement and company-provided equipment.
Collaborative, remote-first culture with opportunities for professional growth and development.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
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About Data & Analytics roles
Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.