Required Experience:

• 10+ years of industry experience solving analytical problems using quantitative approaches, including defining metrics and goals, monitoring key metrics, understanding root causes of changes in metrics, and exploratory analysis to identify new opportunities for clients.
• 10+ years of industry experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• 10+ years of quantitative/analytical experience — Using scripting languages (Python), statistical tools, and data querying at scale

Required Qualifications:

• Strong background in data analysis, statistical modeling, and data visualization.
• Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.
• Setting Goals & Success Metrics — Ability to collaborate with stakeholders on defining OKRs and measuring progress

Preferred Qualifications:

• Storytelling Through Data — Communicating insights to technical and non-technical audiences

Required Technical Skills:

• Data Analysis & SQL — Strong EDA skills with advanced SQL proficiency
• Data querying languages (e.g., SQL)
• Scripting languages (e.g., Python)
• Statistical/mathematical software (e.

Preferred Technical Skills:

• Visualization — Designing dashboards and high-performance reports
• Predictive/Forecasting Modeling — Regression, clustering, classification techniques

Responsibilities:

• Perform EDA to identify trends and generate deep-level insights
• Define business OKRs and success metrics with stakeholders
• Build dashboards and visualizations for clear narrative understanding
• Present data findings and recommendations to mixed audiences
• Develop predictive models and conduct research/experimentation

• Data Analysis:

  Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations; apply statistical and quantitative tools or techniques; interpret data and formulate deep-level insights.

• Setting Goals and Success Metrics:

  Collaborate with stakeholders to define business objectives and key results (OKRs); define success metrics that measure short and long-term progress towards OKRs.

• Visualization:

  Design visualizations that provide a clear narrative understanding as well as deep dive capabilities; develop high-performance reports and dashboards.

• Storytelling Through Data:

  Develop compelling narratives to communicate data insights for technical and non-technical audiences; utilize various relevant tools and techniques to effectively present data; provide recommendations based on analytical findings and insights, with prioritization of actions and estimated impact.

• Modeling:

  Develop and implement predictive and forecasting models using multiple techniques such as regression, clustering, classification, and more; evaluate and refine models based on performance metrics; generate actionable insights from model output.

• Research and Experiment:

  Formulate multiple hypotheses that are tied together to answer business questions; develop a comprehensive research plan that identifies appropriate data collection tools, techniques, or methods to be used for a specific research problem; conduct research with appropriate methods to answer the research questions or test hypotheses.
• Only those lawfully authorized to work in the designated country associated with the position will be considered.
• Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.