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Analytics Engineer

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Cameo is seeking a skilled and experienced Analytics Engineer to join our dynamic analytics team. The ideal candidate will possess a strong technical background, a deep understanding of data analysis, and expertise in marketing analytics (optional). As an Analytics Engineer at Cameo, you will collaborate with cross-functional teams to develop data solutions, drive insights, and contribute to the company's growth through data-driven decision-making.

Responsibilities:

  • Develop, implement, and maintain scalable data pipelines and ELT processes to collect and transform data from various sources.
  • Collaborate with data scientists, analysts, and stakeholders to understand business requirements and translate them into technical specifications.
  • Design and optimize data models, databases, and data warehouses to ensure efficient and reliable data storage and retrieval.
  • Develop and maintain data visualizations, dashboards, and reports to track key performance indicators (KPIs) and provide actionable insights to stakeholders.
  • Identify opportunities for data-driven optimization across different business functions, including user acquisition, retention, monetization, and marketing.
  • Work closely with the marketing team (optional) to develop and analyze marketing campaigns, perform attribution analysis, and provide insights to optimize marketing spend.
  • Stay updated with the latest industry trends, tools, and techniques related to data engineering and analytics.

Qualifications:

  • Bachelor's or advanced degree in Computer Science, Data Science, Information Systems, or a related field.
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
  • Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
  • Self-motivated with a strong sense of ownership and a passion for data-driven decision-making.
  • Strong SQL skills and experience with cloud-based databases (Snowflake, BigQuery, Redshift, etc)
  • Familiarity with dbt is a plus
  • Proficiency building dashboards and visualizations (Looker, Tableau, PowerBI, etc)
  • Experience with data modeling, data warehousing, and general ETL/ELT workflows.
  • Experience with marketing analytics, including campaign analysis, cohort analysis, A/B testing, and marketing attribution.

The salary range for this position is$105,000-$159,000

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