Software Mind

Senior Data Analyst

Software Mind

full-time

Posted on:

Origin:  • 🇨🇷 Costa Rica

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Job Level

Senior

Tech Stack

NumpyPandasPythonSQLTableau

About the role

  • Report to the Director of Analytics and enable data-driven decision-making across the organization
  • Build strong partnership with brand and performance marketing teams
  • Create or help create a comprehensive marketing measurement framework including attribution and controlled experiments
  • Proactively identify trends and patterns in data to inform strategic decision-making
  • Conduct ad-hoc analysis for marketing, product development, and supply chain
  • Develop and maintain advanced SQL queries to extract and manipulate data
  • Utilize Python to analyze large datasets and develop data-driven insights
  • Design and implement data visualizations and dashboards to communicate insights to stakeholders
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to solve business challenges
  • Work with customer buying data as well as marketing data

Requirements

  • +90% English written and oral (at least B2 level) with excellent communication skills
  • 5+ years of experience working as a data analyst, preferably in a retail or e-commerce environment
  • 4-5 years of experience (listed elsewhere in posting)
  • Strong proficiency in SQL with the ability to write complex queries
  • Proficiency in Python or R for data analysis (Pandas, NumPy, Matplotlib)
  • Experience with A/B testing and controlled experiments
  • Experience working with large datasets and performing statistical analysis
  • Intermediate experience with data visualization tools such as Tableau, Power BI, or Looker
  • Understand foundational advertising P&L concepts (diminishing/marginal returns, elasticity, incrementality)
  • Expertise in marketing measurement (brand tracking, attribution modeling, media mix models, controlled experimentation)
  • Ability to translate complex findings into actionable insights and communicate with stakeholders
  • Strong problem-solving skills and attention to detail
  • Ability to work independently and collaboratively in a fast-paced environment
  • Ability to think in terms of creating data products in collaboration with engineers
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