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Sr. Data Analyst

Posted 1 day agoViewed

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💎 Seniority level: Senior, 5 years

💸 Salary: 110000.0 - 125000.0 USD per year

🔍 Industry: Data Science

🏢 Company: AG1

🗣️ Languages: English

⏳ Experience: 5 years

Requirements:
  • Minimum of 5 years of experience in growth marketing analytics, data science, preferably in direct-to-consumer and e-commerce companies.
  • Experience with marketing analytics, attribution modeling, customer segmentation, and predictive modeling for growth and retention.
  • Expertise in SQL and proficiency in either Python (or R) for advanced data analysis and automation. Experience with dbt, Looker, or other modern analytics tools is a plus.
  • Familiarity with B2C acquisition and subscription marketing concepts and metrics, including customer journeys, conversion funnels and critical reporting (CAC, payback, retention rate, etc.).
  • Hands-on experience working with structured and unstructured data in cloud-based environments, including BigQuery, Snowflake, RedShift, etc.
  • Comfortable navigating large datasets, acquiring and cleansing data from multiple sources.
  • Demonstrates intellectual curiosity, a self-motivated approach to problem-solving, and a passion for continuous learning and improvement.
  • Advanced analytical skills with the ability to be a self starter and work independently.
  • Advanced data visualization skills and hands-on experience with Tableau
  • Familiarity with marketing, CRM, social and ad platforms, such as Salesforce, NetSuite CRM, Google Ads, Facebook, YouTube, Instagram, TikTok and others. Experience with partnership and affiliate marketing is a plus.
  • Exceptional communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly insights.
  • Ability to collaborate with partners to document key business needs into a clearly defined requirements document and project plan.
  • Proven skills in distilling complex topics into easy to understand data visualizations. Advanced Tableau data visualization skills preferred.
Responsibilities:
  • Develop optimized SQL queries to aggregate and explore data from multiple datasets, identify opportunities and limitations within our data sets and deliver reliable and high quality analysis to drive strategic insights.
  • Translate complex data insights into compelling narratives that drive action across marketing and leadership teams.
  • Enable teams with self-service analytics by maintaining curated data sources and developing automated, scalable dashboards in Tableau, by applying intuitive data visualization and dashboard design best practices.
  • Own key projects and respond to ad-hoc data requests from internal and external stakeholders. Define, calculate, and validate key performance metrics (KPIs), identifying automation opportunities and developing self-service analytics solutions.
  • Communicate with stakeholders on various projects to gather requirements, collect feedback and present deliverables to achieve expected outcomes.
  • Brainstorm creative solutions to exploratory projects built around ambiguity, including running analysis to identify problems, understand root cause of trends, provide actionable insights and recommend solutions.
  • Work collaboratively and cross functionally with other members of the data team to support testing/experimentation, data modeling, data visualization, data science/machine learning, etc.
  • Collaborate with data scientists to leverage A/B testing and incrementality analysis to measure marketing effectiveness and optimize campaign performance.
  • Work closely with data engineering teams to define and refine data pipelines, ensuring scalable and reliable marketing data infrastructure.
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