Position Summary... Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. What youll do...

• You will be responsible for translating ambiguous business problems into actionable and data-driven solutions using advanced analytical techniques and storytelling
• Understand partner teams requirements
• Identify and validate most suitable data sources
• Use SQL/Python to manipulate large data sets to uncover trends, diagnose root causes and identify opportunities
• Use advanced analytics and machine learning to derive insights, make causal frameworks and predict outcomes
• Leverage Tableau/Looker to share key metrics and communicate findings
• Develop and maintain data pipelines to support your analytical work
• Define and track key metrics for your area, do RCAs, propose and test hypotheses
• Communicate findings and results effectively to partner teams
• Build Cross functional partnerships with Business, Product, Engineering

• Education:
  Bachelor s degree in a quantitative field (Masters preferred)

• Experience:
  4 9 years of relevant experience in analytics or data science, preferably in retail, eCommerce or consumer internet
• Technical Skills:
  • SQL: Expert in querying and transforming large-scale structured data.
  • Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.).
  • Big Data Tools: Familiarity with Hive, Spark
  • Visualization: Proficiency with Tableau, Looker, Power BI
  • Hands-on with Machine Learning
• Data-science expectations:
  • Strong proficiency in feature engineering, including creation of domain-driven features from raw and large-scale datasets
  • Hands-on experience with supervised machine learning models and ability to apply them to real-world problems
  • Ability to select appropriate modeling approaches based on business context, data characteristics, and problem type
  • Understanding and application of model evaluation metrics with clear reasoning of trade-offs, especially in risk use cases
  • Experience with model validation techniques, including cross-validation and robustness checks
  • Ability to run, debug, and retrain existing machine learning models with new data independently
  • Experience in supporting and contributing to feature pipelines and reusable data workflows
  • Ability to validate model outputs, perform sanity checks, and identify data or model-related issues before downstream use
  • Hands-on exposure to unsupervised techniques and their application in exploratory or anomaly detection contexts
  • Ability to perform structured exploratory analysis to derive signals relevant for modelling and risk identification
  • Experience working with large datasets and scalable data environments
  • Ability to translate model outputs into actionable business insights, with clear articulation of assumptions and limitations
• Curiosity Growth Mindset:
  Strong propensity to learn and expand into emerging areas such as AI applications. Enthusiastic about experimentation and continuous improvement.
• Business and Communication Skills:
  Ability to transfer technical findings into clear narratives and communicate with product and business teams. Excellent storytelling, presentation, and stakeholder management skills.

• Experience with marketplace, retail, or eCommerce analytics.
• Experience building analytical products or predictive models that drive measurable business impact.
• Passion for leveraging data to improve customer experiences and optimize digital products.