Senior Staff Analytics Engineer (Multiple Positions) (9673741) at Flex

<p>EMPLOYER: Flexible Finance, Inc.<br><br>TITLE: Senior Staff Analytics Engineer (Multiple Positions) (9673741)<br><br>LOCATION: New York, NY - A hybrid work schedule may be permitted within a commutable distance from the&nbsp;worksite, in accordance with company policies.</p> <p>DUTIES: <br>Enable stakeholders to easily access the data they need to make informed decisions. Partner with analysts,&nbsp;engineers, product managers, and others to define requirements while remaining accountable for&nbsp;delivering the end data product. Lead development of data models to consume, transform, and expose&nbsp;data to both stakeholders and systems across the company. Collect business requirements, define&nbsp;successful analytics outcomes, and design data solutions. Set company-wide standards for data structure,&nbsp;quality, and expectations. Shape processes, systems, and tools that empower scalable, insight-driven&nbsp;decision-making.</p> <p><br>REQTS: <br><br>Must have a Bachelor’s degree or foreign equivalent in Business Analytics, Data Science, Computer&nbsp;Science, or a related field plus six (6) years of experience in the position offered, or as an Analytics&nbsp;Engineer, Data Scientist, or a related position. Must have six (6) years of experience with all of the&nbsp;following: Developing and maintaining ETL/ELT pipelines that transform raw data into clean and reliable&nbsp;datasets using modern data stack, including Airflow, Fivetran, dbt, Snowflake, or SQL server;&nbsp;Developing and maintaining analytics dashboards to monitor key business metrics using BI tools (Sigma,PowerBI, Looker, or Tableau), driving actionable insights that improve operational efficiency and&nbsp;strategic planning; and Partnering with cross-functional stakeholders across credit risk, compliance,&nbsp;finance (or bank partners), product, and engineering to translate complex business needs into scalable and&nbsp;reliable data models and analytics. Must possess at least three (3) years of experience with all of the&nbsp;following: Working in an engineering role with a FinTech company; Building and maintaining&nbsp;dashboards tailored to business needs using Sigma as the primary BI tool; Building and scaling a modern&nbsp;data stack from ground up using Airflow, AWS, Snowflake, dbt, and GitHub CI/CD, enabling robust&nbsp;analytics data pipelines to empower cross-functional teams to make data-driven decisions; Defining and&nbsp;improving the analytics engineering lifecycle, including modular data modeling with dbt and Git-based&nbsp;workflows with CI/CD, code reviews, Jira task management, and data quality standards to ensure&nbsp;scalable, production-grade analytics; and Supporting multiple fundraising rounds by delivering accurate<br>data analysis, reporting, and insights to finance and leadership teams, enabling informed decision-making&nbsp;and compelling investor communications.<br><br>HOURS: Full Time; Mon-Fri (40 hrs/week)<br><br>WAGE RANGE: $243,000 - $324,000 per year</p>