Responsibilities

• Revenue & Strategy Analytics: Develop and deliver data solutions and analytics that directly support revenue generation, including client propensity modeling, opportunity sizing, and next-best-action frameworks. Translate findings into clear strategic recommendations for stakeholders.
• Campaign & Marketing Insights: Measure and evaluate the effectiveness of marketing campaigns across channels. Build frameworks for attribution, engagement scoring, and audience segmentation that enable precise, high-impact client targeting.
• Dashboards & Visualization: Design, build, and maintain interactive dashboards and reporting solutions that give stakeholders self-service access to key marketing and revenue metrics — ensuring reporting is accurate, timely, and aligned with business priorities.
• Stakeholder Partnership: Collaborate with marketing, technology, and business teams globally to understand their analytical needs, translate business questions into data problems, and communicate complex findings clearly to both technical and non-technical audiences.
• Entrepreneurial Delivery: Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment.

Requirements

• 1+ years of hands-on experience in data analytics or a related quantitative role.
• Advanced proficiency in SQL — highly comfortable writing complex queries, optimizing performance, and working across large relational databases.
• Strong proficiency in Python for data manipulation, analysis, and automation (e.g., pandas, NumPy, and related libraries).
• Conceptual understanding of Generative AI — while hands-on experience is not required, a solid grasp of concepts such as large language models, prompt engineering, and retrieval-augmented generation, and how these can enhance analytics and marketing workflows
• Proven ability to create dashboards and visualizations using tools such as Tableau, Power BI, or equivalent platforms.
• Familiarity with machine learning concepts and experience building basic predictive models.
• Strong analytical thinking — able to take ambiguous business questions, structure them as data problems, and deliver clear, insight-driven answers.
• Excellent communication skills — able to present findings and recommendations to senior stakeholders with clarity and confidence.
• Bachelor's degree in a quantitative or technical field such as Computer Science, Data Science, Statistics, Information Systems, or equivalent practical experience.

Preferred

• Data engineering experience — familiarity with building and maintaining ETL/data pipelines and transforming data from disparate sources into structured, analysis-ready formats.
• Experience working with marketing data platforms such as Marketo, Adobe Analytics, Salesforce, or Google Analytics.
• Experience with cloud-based data platforms such as Databricks, Snowflake, or AWS-based analytics services.
• Exposure to AI-driven BI tools such as ThoughtSpot, Databricks Genie, or similar next-generation analytics platforms.
• Graduate degree in a technical or quantitative discipline.
• Experience in financial services, banking, or B2B marketing analytics environments.

Benefits

• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching and more
• Additional details about total compensation and benefits will be provided during the hiring process.