Analyst, Data Science and Analytics

• Complete well-defined analytical assignments with guidance while building foundational data science and analytics capabilities.

• Deliver accurate, reliable, and timely analytical outputs that support business decision-making.

• Prepare, analyze, and validate data to support data-driven business initiatives.

• Apply statistical and analytical techniques to address business problems and develop actionable insights with guidance.

• Support the development and continuous improvement of scalable, repeatable analytical processes while following established coding and data standards.

• Collaborate with Product, Engineering, and business stakeholders to understand business context, provide progress updates, raise blockers, and align analytical solutions with organizational goals.

• Communicate findings and recommendations through clear documentation and presentations while continuously strengthening technical and analytical capabilities.

Required Technical Skills

• Foundational to intermediate proficiency in data analysis and statistical methods.
• Foundational to intermediate proficiency in at least one programming language used for data analysis, such as Python or R.
• Foundational to intermediate proficiency in SQL (Structured Query Language) or a similar data-querying language.
• Ability to prepare, analyze, and validate data to produce accurate and reliable analytical outputs.
• Ability to follow established coding, documentation, and data-quality standards.

Desired Skills

• Experience with data-visualization tools such as Microsoft Power BI or Tableau.
• Exposure to ML (Machine Learning) concepts or data science workflows.
• Familiarity with business areas such as customer success, fraud prevention, or analytics-driven decision-making.
• Experience using Jira or a similar task-management tool.
• Ability to translate analytical findings into clear, actionable recommendations and contribute to documentation, presentations, or knowledge-sharing sessions.

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