Role Overview
As a Data Analyst at AlphaCreators, you’ll turn raw data into actionable insights that drive our real estate marketing and lead-generation platform forward. You’ll work closely with our marketing, product, and client-success teams to optimize campaigns, improve CRM automation, and ensure our real estate partners are getting the high-quality leads they need—without spending hours hunting them down.
Key Responsibilities
- Data Collection & Management
- Design and maintain data pipelines from multiple sources (e.g., CRM, digital ad platforms, website analytics).
- Ensure data quality, consistency, and accuracy through regular audits and ETL best practices.
- Analysis & Reporting
- Generate daily, weekly, and monthly dashboards tracking key metrics (lead volume, conversion rates, campaign ROI).
- Conduct deep-dive analyses to uncover trends, bottlenecks, and opportunities for performance improvement.
- Marketing & CRM Optimization
- Analyze lead behavior and campaign performance to recommend targeting adjustments and budget reallocation.
- Evaluate CRM automation effectiveness—trigger rates, follow-up sequences, and lead scoring models—and propose refinements.
- Data Visualization & Presentation
- Build clear, intuitive visualizations (e.g., in Tableau, Power BI, or Looker) to communicate insights to non-technical stakeholders.
- Present findings and strategic recommendations in cross-functional meetings.
- Collaboration & Innovation
- Partner with product and engineering to define data requirements for new features.
- Stay on top of the latest data-analysis tools and techniques; suggest automation or machine-learning models to enhance lead quality and predict agent needs.
Required Qualifications
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Experience:
- 2+ years in a data analyst or similar role, ideally within digital marketing, real estate tech, or CRM platforms.
- Proven track record of improving marketing ROI or lead-generation efficiency via data-driven recommendations.
- Technical Skills:
- Strong SQL proficiency for querying relational databases.
- Experience with Python or R for data manipulation and analysis (pandas, NumPy, scikit-learn a plus).
- Familiarity with ETL tools or scripting to automate data workflows.
- Advanced Excel skills (pivot tables, macros).
- Visualization & BI: Hands-on experience building dashboards in Tableau, Power BI, Looker, or equivalent.
Preferred Skills & Attributes
- Domain Knowledge: Understanding of real estate marketing, lead funnels, and CRM workflows.
- Machine Learning: Familiarity with basic predictive modeling (lead scoring, churn prediction).
- Communication: Excellent written and verbal communication; able to translate technical findings into business terms.
- Problem-Solver: A proactive, detail-oriented mindset with a knack for uncovering “why” behind the numbers.
- Team Player: Collaborative attitude; comfortable working in a fast-paced agency environment.
What We Offer
Opportunity to shape a growing SaaS platform in the real estate space and make a tangible impact on our clients’ success.
Competitive salary with performance-based bonuses.
Comprehensive benefits package (health, dental, vision, 401k match).
Flexible work arrangements and generous PTO.
Professional development budget for courses, conferences, and certifications.