What you'll do
Accountabilities
Prepare analytical reports and performance summaries for advertising campaigns to identify optimization opportunities.
Research campaign performance trends and develop actionable recommendations to improve key marketing performance indicators.
Evaluate, monitor, and analyze A/B testing initiatives, providing accurate results and recommendations for future experiments.
Track daily marketing and product performance metrics, identify significant deviations, and investigate the reasons behind performance changes.
Analyze and improve attribution models, lifetime value (LTV) models, and marketing measurement approaches.
Optimize marketing reports, dashboards, and budgeting tools to improve efficiency and decision-making.
Collaborate with marketing and analytics teams to translate data insights into strategic recommendations.
Support continuous improvement of campaign measurement processes and reporting frameworks.
Use data-driven approaches to identify opportunities for improving acquisition, retention, and overall marketing effectiveness.
Requirements
Bachelor's degree in a technical, mathematical, economic, analytical, or related field.
Strong proficiency in Google Sheets, including advanced functions and pivot tables.
Good knowledge of BigQuery and experience working with large datasets.
Strong understanding of mathematical statistics and its application in marketing analytics.
Experience analyzing marketing campaigns, performance metrics, and business data.
Familiarity with BI tools such as Tableau, Apache Superset, or similar platforms.
English proficiency at B2 level or higher.
Ability to analyze complex data, identify patterns, and communicate actionable insights clearly.
Experience working with MS SQL is a plus.
Basic knowledge of Python is an advantage.
Familiarity with web analytics tools such as Google Analytics and Google Tag Manager is preferred.
Experience with Google Ads platforms and campaign analytics is a plus.
Availability to collaborate with international teams, preferably with at least 3 hours of overlap with team working hours.
Benefits
Fully remote full-time opportunity with flexibility to work from anywhere.
28 calendar days of annual vacation.
7 additional wellness days per year.
Employee referral bonuses of up to $5,000.
50% coverage for professional training, international conferences, and industry events.
Corporate discounts for English language learning.
Health benefit support, including reimbursement options for eligible employees.
Workplace setup support, including equipment and coworking or home office expense reimbursement.
Internal recognition program with rewards, merchandise, team activities, and wellness benefits.
Opportunity to work with international teams and develop expertise in global marketing analytics.
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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Context
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.