
Marketing Analytics/operations Specialist
2 semanas atrás
As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth.
**Responsibilities**:
- Collect and analyze customer data, purchasing behaviors, and market trends to gain a deeper understanding of the target audience.
- Utilize tools like Google Analytics 4 (GA4) to analyze website traffic, user behavior, and conversion paths.
- Monitor and analyze the lead generation process, including MQLs and SQLs, and evaluate tactics leading to successful
- Assess the ROI for each marketing initiative to determine budget effectiveness.
- Analyze and optimize search engine visibility, track keyword rankings, and assess the impact of SEO efforts.
- Analyze cold outreach messages and calls conducted by Business Development Representatives (BDRs) to identify patterns and strategies that lead to successful lead generation. Understand why some BDRs are more successful than others in converting leads, and provide actionable insights to improve overall performance.
- Oversee all marketing operations, including setting up round-robin processes, integrating marketing tools like HubSpot, and building workflows within HubSpot.
- Develop comprehensive marketing data models using ClickHouse, and visualize these data models in Superset to provide clear, actionable insights.
**Requirements**:
- At least 2 years in marketing analytics
- Google Analytics Certificate
- Proficient in SQL, Python, Excel
- Skilled in BI tools: Superset, Power BI, Looker, Tableau.
- Experience with A/B testing and attribution models (first touch, last touch, linear)
- Strong understanding of marketing principles and advanced analytics
- Excellent analytical skills and effective communication of complex concepts.
- Bachelor's degree in Marketing, Analytics, Data Science, or related fields
- Advanced proficiency in English.
**Nice to have**:
- Familiarity with DBT for data transformation and pipeline management.
- Hands-on experience in developing and deploying machine learning models like linear regression and random forest for predictive analytics.
- Ability to use CSS for customizing visual elements on our website and enhancing data presentation.
- Demonstrated ability to build custom attribution models from scratch, optimizing marketing spend and strategy.
**Why Improvado**:
- Remote-first environment
- 27 days of PTO per year
- US holidays and additional days off
- Extremely fun & open startup environment
- Professional development reimbursement
li-remote
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