Sr Data Analytics Engineer - FinCrime
About the Role
We are looking for a Senior Data Analytics Engineer to help us optimize our business strategy using the latest data techniques. This role is key to setting the roadmap for a highly efficient and scalable data function that will grow with the ambitious plans for the business.
Reporting to Product, you will collaborate with Product, Engineering, Data Science, and the wider organization. You will build and maintain new data models, optimize existing ones, and work with a wide variety of technologies and datasets to drive real insight and recommendations. You'll be a driving force in identifying trends, quantifying opportunities, and setting the requirements to develop data-driven solutions that have a direct impact on the business.
Our current Data Platform tech stack includes:
Data Lakehouse: Databricks
Cloud & Infrastructure: AWS (S3, Lambda), Kubernetes
Data Processing: Python is our primary language
Orchestration & Transformation: dbt, Fivetran, and Airflow
Visualization: Mode and similar BI tools
Data monitoring and alerting: Metaplane
What You'll Do
Data Modeling & Pipelines: Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting. Where needed, deliver dashboards to drive more self service on data among teams.
Stakeholder Collaboration: Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making.
Strategic Analysis: Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights.
Data Governance & Quality: Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers.
Champion Data Culture: Champion the use of data to optimize business performance and bring fresh analytical ideas to the table.
Communication & Presentation: Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences.
Process Improvement: Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure.
Data Cleansing & Transformation: Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources.
Insight Storytelling: Translate complex analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences, influencing strategic decision-making.
What We’re Looking For From You
You are highly proficient with daily use of SQL and have hands-on experience in a modern cloud data warehouse/ lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake).
You’re comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines.
You have the ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews.
You have a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer.
You see yourself as a strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of your technical solutions.
You are an advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards.
You are passionate about learning, able to quickly adopt new business concepts and technologies, and are an independent, curious person who likes to take initiative.
You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world.
Bonus Points
You have familiarity with dbt to design and implement data models.
Experience with data orchestration tools
AML Transaction Monitoring definition, calibration, testing and documentation. Experience with regulatory testing regimes such as DFS rule 504 a plus.
Customer risk rating definition, calibration, testing and documentation.
Sr Data Analytics Engineer - FinCrime
About the Role
We are looking for a Senior Data Analytics Engineer to help us optimize our business strategy using the latest data techniques. This role is key to setting the roadmap for a highly efficient and scalable data function that will grow with the ambitious plans for the business.
Reporting to Product, you will collaborate with Product, Engineering, Data Science, and the wider organization. You will build and maintain new data models, optimize existing ones, and work with a wide variety of technologies and datasets to drive real insight and recommendations. You'll be a driving force in identifying trends, quantifying opportunities, and setting the requirements to develop data-driven solutions that have a direct impact on the business.
Our current Data Platform tech stack includes:
Data Lakehouse: Databricks
Cloud & Infrastructure: AWS (S3, Lambda), Kubernetes
Data Processing: Python is our primary language
Orchestration & Transformation: dbt, Fivetran, and Airflow
Visualization: Mode and similar BI tools
Data monitoring and alerting: Metaplane
What You'll Do
Data Modeling & Pipelines: Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting. Where needed, deliver dashboards to drive more self service on data among teams.
Stakeholder Collaboration: Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making.
Strategic Analysis: Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights.
Data Governance & Quality: Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers.
Champion Data Culture: Champion the use of data to optimize business performance and bring fresh analytical ideas to the table.
Communication & Presentation: Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences.
Process Improvement: Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure.
Data Cleansing & Transformation: Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources.
Insight Storytelling: Translate complex analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences, influencing strategic decision-making.
What We’re Looking For From You
You are highly proficient with daily use of SQL and have hands-on experience in a modern cloud data warehouse/ lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake).
You’re comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines.
You have the ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews.
You have a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer.
You see yourself as a strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of your technical solutions.
You are an advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards.
You are passionate about learning, able to quickly adopt new business concepts and technologies, and are an independent, curious person who likes to take initiative.
You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world.
Bonus Points
You have familiarity with dbt to design and implement data models.
Experience with data orchestration tools
AML Transaction Monitoring definition, calibration, testing and documentation. Experience with regulatory testing regimes such as DFS rule 504 a plus.
Customer risk rating definition, calibration, testing and documentation.