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Staff Data Analytics Engineer

Want to work at the forefront of a fast-growing and award winning FinTech company? With an incredible team and partners looking for innovative results, we’re rapidly growing and continue to add new asset classes to our offerings. We are on the lookout for smart and collaborative talent to join our team. As a cloud-based company, we are currently operating in a flexible and hybrid work model. 

Job Description
We’re looking for a Staff Data Analytics Engineer to own, operationalize and accelerate the rate at which we pursue data-driven initiatives at SIMON. At a project-level, you will work with stakeholders from various teams – e.g. marketing, finance, go-to-market product – to scope projects, identify business impact, define requirements and develop technical solutions. From an implementation perspective, you will perform exploratory data analysis, develop business-oriented data marts from raw source data, prepare data sets for business intelligence reporting, remediate data quality issues, optimize query performance issues, and develop statistical and/or machine learning models. You will work closely with Data Engineers on data pipelines and data quality issues, as well as business stakeholders to understand their data needs. Successful candidates will have substantial professional experience pitching ideas and project plans, scoping and operationalizing complex projects, and working hands-on with data and technology systems.

How You Will Fulfill Your Potential
  • Scope, pitch and structure data-driven strategic initiatives to department heads and the executive team
  • Liaise with stakeholders from all areas of the firm to understand current business needs and long-term vision for growth
  • Develop detailed execution plans by scoping project requirements, feasibility, business impact, dependencies, performance evaluation and adoption
  • Create data marts within Snowflake (using dbt and SQL) for rapid business analysis
  • Perform exploratory data analysis, data validation, data remediation, statistical modeling and query optimization within our data warehouse
  • Operate within our data and logging infrastructure (e.g. dbt, Airflow, Snowflake, Fivetran, Splunk, Mixpanel, GitLab)
  • Evangelize best practices, data-oriented thinking, knowledge sharing, and workflow optimization

What We’re Looking For
  • Bachelor’s Degree or Master’s Degree in Computer Science, Economics, Business, Mathematics, Statistics or a related technical field
  • 4 or more years of professional experience at an investment bank, consulting firm, PE/VC firm, or high-growth tech startup
  • Very good knowledge of SQL, data pipelines, data modeling and data governance
  • Good knowledge of Python (or other programming language), a (e.g. Tableau, Looker, PowerBI), Microsoft Excel, and basic statistics
  • Good knowledge of distributed systems and cloud infrastructure (e.g. logging, concurrency, containers, networking)
  • Strong ability to understand client needs, scope projects, develop detail-oriented execution plans, and communicate results
  • Good writing, communication and presentation skills

 Preferred Qualifications
  • Machine learning experience or interest
  • Application programming experience (e.g. webapps, APIs, data pipelines, OOP/functional architectures)

We offer a competitive salary and benefits, the chance to work with a curated team of top-notch, highly creative talent, and a fun and agile work environment with many perks in New York City’s Hudson Yards district. 

About SIMON
SIMON Markets is an award-winning fintech company that is committed to transforming the digital experience for financial professionals, enabling them to better serve their clients. SIMON’s intelligent and innovative platform delivers an end-to-end digital suite of tools to over 100,000 financial professionals, who serve $5 trillion in client assets, empowering them with on-demand education, an intuitive marketplace, real-time analytics, and lifecycle management.

With a focus on reshaping the advisor experience, SIMON is setting new industry standards, simplifying the complex, and delivering structured investment, annuity, and defined outcome ETF solutions to investment professionals, centralized within one unique ecosystem.

Originally incubated within Goldman Sachs, SIMON launched as an independently operating company in December 2018 under the shared ownership and direction of seven leading financial institutions—Barclays, Credit Suisse, Goldman Sachs, HSBC, J.P. Morgan, Prudential, and Wells Fargo. Growth equity firm WestCap became an investor in 2021. The company is headquartered in New York, NY, with an additional location in Birmingham, AL.

No matter which part of the team you join, there is something interesting to work on. Our front-end team is building out our web and mobile presence using React, Redux, and Webpack along with some very sophisticated data visualizations. Our back-end team is using Scala, Akka, Postgres and other open-source technologies to build a micro-services architecture that can scale to handle our ambitious roadmap. Our quantitative engineering team is researching and building novel financial strategies to widen our competitive advantage. Our dev-ops team is creating a development and production environment with Docker and Kubernetes to keep us nimble. Product Management sits in the middle of it all to make it happen.