Analyst, Data

Yieldstreet•New York, NY

58d•$90,000 - $110,000

About The Position

As a Data Analyst on the Data team, you’ll be at the forefront of shaping our understanding of customer behavior, marketing and sales performance, and overall funnel efficiency. You will partner closely with Growth Marketing and Product teams to translate business questions into clear, actionable insights that drive acquisition, onboarding, and revenue outcomes.

Requirements

Bachelor’s degree in a quantitative field (e.g., Data Science, Business Analytics, Data Analytics, Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience
1–3 years of experience in a data or marketing analytics role (internships/co-ops included), ideally in fintech, marketing, or financial services
Strong proficiency in SQL and experience working with relational databases (e.g., Snowflake, MySQL, BigQuery)
Experience with data visualization and business intelligence tools (e.g., Looker, Power BI, or similar) to build clear, actionable dashboards and reports
Hands-on experience with Python for data analysis, and strong analytical and problem-solving skills with high attention to detail
Ability to communicate complex data insights clearly to both technical and non-technical stakeholders, and to translate business questions into structured analysis plans and metrics
Strong business acumen and the ability to translate business questions into structured data analysis plans.

Nice To Haves

Experience with modern data tooling such as dbt, data pipelines (including via APIs), and orchestration tools (e.g., Dagster, Airflow)
Experience with A/B testing, experimental design, and campaign measurement
Familiarity with machine learning techniques and predictive analytics

Responsibilities

Build and maintain Looker dashboards, reports, and reliable self-serve reporting to track KPIs across customer acquisition, user journey, and sales, enabling data-driven decision-making
Use SQL and dbt for data modeling and data management, pulling and modeling data via APIs and S3 buckets into the data warehouse to create well-documented, scalable, and reusable datasets
Partner with data engineers and data scientists to ensure data is accessible, accurate, and high quality, while upholding data integrity, accuracy, and governance across analytics pipelines
Conduct discovery and deep-dive analyses across the acquisition funnel, onboarding journey, and sales pipeline; translate business questions into structured analysis plans and clear metrics
Collaborate with media managers and product marketing to define and measure success for campaigns, experiments, and product initiatives, and to push data into platforms such as Salesforce, Braze, and Intercom for targeting, segmentation, and personalization
Communicate findings, trends, and recommendations clearly to both technical and non-technical audiences, and continuously improve analysis processes, methodologies, and documentation