Our direct client, a fast-growing FinTech firm is looking for an Analytics Engineer to help drive measurable growth across various business teams. This role will work with our Sales, Marketing, and Product teams to define, calculate, and grow their key operating metrics (e.g. sales, conversions, retention). This individual will conduct exploratory data analysis, statistical analysis, and predictive modeling of the data.

This position can be based in midtown Manhattan or Greenwich, CT, 3 days per week onsite is expected. Client offers a very attractive compensation and benefits package, salary ($100k-$130k, DOE), bonus and stock options.

Responsibilities

• Write SQL (in dbt) to transform, validate, enrich, and aggregate our data.
• Iterate on ML model development (model selection/evaluation, feature engineering, hyperparameter tuning).
• Develop ML libraries to accelerate development workflow (versioning, tracking, visualization, and explainability).
• Conduct and interpret statistical analyses (hypothesis tests, regression, PCA, etc.).
• Visualize key performance metrics within Tableau.
• Work with our Data Engineering, Business Intelligence and Machine Learning teams on data infra, dashboards and ML models.
• Participate in our support rotation and SDLC release process.

Qualifications

• Very proficient in SQL and data modeling
• Very proficient in Python
• Proficient in software development (e.g. OOP, APIs, ORMs, deployment, testing)
• Proficient in statistics, ML models and ML development
• Experience with, or interest in learning, a BI tool
• 2 4 years of experience in a data-related role
• Bachelor s degree or higher in computer science, mathematics, statistics, or related technical field