We're seeking a highly motivated and detail-oriented individual who is passionate about transforming data into strategic decisions. If you thrive on diving into data, uncovering hidden trends, forecasting results, and making impactful recommendations, this could be your dream job. You'll leverage your analytics and data science expertise to optimize funnel performance and drive revenue growth.
Responsibilities:
- Set and forecast demand generation targets by analyzing historical data and trends, ensuring alignment with business objectives and working with our revenue and SDR operations teams.
- Work closely with the marketing team to address key strategic questions and provide insights.
- Lead and manage complex data analytics projects, including predictive scoring, segmentation optimization, attribution modeling and opportunity influence, and more.
- Leverage advanced analytical techniques (e.g. predictive modeling, causal inference, machine learning, AI) to uncover hidden patterns, identify growth opportunities, and guide strategic decision-making.
- Proactively identify and address data quality issues, implementing data governance practices to ensure data accuracy and reliability.
- Design and maintain Grafana dashboards to provide real-time visibility into key metrics and improve the workflows of internal teams.
- Prepare reports and presentations to communicate marketing insights to management and other stakeholders.
- Stay up-to-date on the latest trends in marketing analytics and AI.
Requirements:
- 5+ years of experience in marketing analytics or data science.
- Expertise in advanced analytics exploration, with experience managing large datasets across multiple systems.
- Highly proficient in using Google Sheets/Excel (pivot tables, formula functions), Google Data Studio, Looker, or equivalent tools for data analysis.
- Proficient in Structured Query Language (SQL), Python, or other programming languages, with experience in crafting queries to extract, manipulate, and analyze data
- Experience with DBT (Data Build Tool) is a plus, particularly in transforming raw data within data warehouses.
- Proficient in Tableau, Grafana, or similar data visualization tools.
- Exposure to reporting on sales and marketing campaigns with tools such as Salesforce, Google Analytics, Marketo, Hubspot.
- Proactive in identifying and developing innovative solutions for unstructured and complex problems.
- Independent self-starter, capable of taking ownership of projects and driving them to completion.
- Strong understanding of marketing metrics and KPIs.
- Strong writing and presentation skills, plus the ability to articulate data insights to cross functional and nontechnical audiences.
In the United States, the base salary compensation range for this role is $120,000 - $144,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.
