Remote Demand Generation Data Analyst (Remote, United States)

Description:

• We are seeking a highly motivated and detail-oriented individual who is passionate about transforming data into strategic decisions.
• The role involves diving into data, uncovering hidden trends, forecasting results, and making impactful recommendations.
• You will leverage your analytics and data science expertise to optimize funnel performance and drive revenue growth.
• Responsibilities include setting and forecasting demand generation targets by analyzing historical data and trends, ensuring alignment with business objectives, and collaborating with revenue and SDR operations teams.
• You will work closely with the marketing team to address key strategic questions and provide insights.
• The position requires leading and managing complex data analytics projects, including predictive scoring, segmentation optimization, attribution modeling, and opportunity influence.
• You will leverage advanced analytical techniques such as predictive modeling, causal inference, machine learning, and AI to uncover hidden patterns and guide strategic decision-making.
• Proactively identifying and addressing data quality issues while implementing data governance practices to ensure data accuracy and reliability is essential.
• You will design and maintain Grafana dashboards to provide real-time visibility into key metrics and improve workflows of internal teams.
• Preparing reports and presentations to communicate marketing insights to management and other stakeholders is a key responsibility.
• Staying up-to-date on the latest trends in marketing analytics and AI is expected.

Requirements:

• A minimum of 5 years of experience in marketing analytics or data science is required.
• Expertise in advanced analytics exploration, with experience managing large datasets across multiple systems, is necessary.
• Highly proficient use of Google Sheets/Excel (including pivot tables and formula functions), Google Data Studio, Looker, or equivalent tools for data analysis is essential.
• Proficiency in Structured Query Language (SQL), Python, or other programming languages, with experience in crafting queries to extract, manipulate, and analyze data, is required.
• Experience with DBT (Data Build Tool) is a plus, particularly in transforming raw data within data warehouses.
• Proficiency in Tableau, Grafana, or similar data visualization tools is necessary.
• Exposure to reporting on sales and marketing campaigns with tools such as Salesforce, Google Analytics, Marketo, and Hubspot is required.
• A proactive approach in identifying and developing innovative solutions for unstructured and complex problems is essential.
• The candidate should be an independent self-starter, capable of taking ownership of projects and driving them to completion.
• A strong understanding of marketing metrics and KPIs is required.
• Strong writing and presentation skills, along with the ability to articulate data insights to cross-functional and non-technical audiences, are necessary.

Benefits:

• The base salary compensation range for this role is $120,000 - $144,000, with actual compensation varying based on level, experience, and skillset as assessed in the interview process.
• Benefits include equity and a bonus (if applicable).
• Additional benefits can be found on the company's careers page.