Grasshopper Bank

Analytics Data Engineer

Grasshopper Bank

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

  • Reporting to our Director of BI & Analytics, you will join our data team as a key internal consultant and technical expert. Whether you are a seasoned architect or a rising talent in the analytics space, your primary mission is the same: to move beyond simple reporting and transform complex data into compelling data stories.
  • This is a high-impact role where technical rigor meets design strategy. You will serve as the bridge between our data infrastructure and our stakeholders, owning the end-to-end data lifecycle. This includes architecting scalable data models and ELT pipelines, as well as partnering directly with business lines to build polished, intuitive Tableau dashboards.
  • If you are a versatile professional who enjoys both writing complex Python/SQL transformation logic and crafting data stories that answer the "so what?" for leadership, we encourage you to apply.
  • What you'll do: Visualization & Storytelling
  • Tableau Design: Design and build highly interactive dashboards that guide users through a clear narrative flow. You don’t just display data; you highlight trends, anomalies, and actionable insights.
  • UX/UI Strategy: Apply design best practices (layout, color theory, pre-attentive attributes) to ensure dashboards are intuitive, consistent, and reduce cognitive load.
  • Performance Tuning: Proactively monitor and optimize both SQL queries and Tableau workbooks to ensure fast load times and a seamless user experience.
  • Data Engineering & Architecture
  • Data Modeling: Own the design and optimization of dimensional data models (Star Schemas) in BigQuery to create a clean, accessible, and performant "semantic layer" for analytics.
  • Pipeline Development: Design, build, and maintain scalable ELT / ETL pipelines (using SQL, Python, and orchestration tools) to transform raw data into analytics-ready datasets.
  • Data Quality & Governance: Establish and advocate for data integrity by implementing automated testing, validation frameworks, and consistent metric definitions.
  • Strategy & Consultation
  • Internal Consulting: Act as a trusted advisor to stakeholders. Translate vague business questions into strict technical requirements and analytical stories that get to the root of the problem.
  • Mentorship: Foster a culture of data literacy by mentoring business users on dashboard interpretation and training junior analysts on SQL best practices.
  • Documentation: Maintain clear technical documentation for data lineages, metric definitions, and pipeline logic.

Requirements

  • 4+ years of hands-on experience in a hybrid data role (Analytics Engineer, Data Engineer, or BI Developer).
  • Expert-level proficiency in SQL. You must be comfortable writing complex CTEs / window functions and have a strong grasp of Dimensional Modeling (Kimball methodology).
  • Deep proficiency with Tableau Desktop. You must have experience with advanced calculations (LODs, Parameters, Set Actions) and a strong understanding of layout strategies to guide user attention.
  • Strong experience using Python for data manipulation, API calls, and automation scripting.
  • Proven ability to demonstrate how you have taken a raw dataset and turned it into a clear business recommendation or narrative.
  • Experience working within a modern cloud ecosystem (e.g., GCP, AWS, Azure) and cloud data warehouses (BigQuery, Snowflake, Redshift).
  • Excellent verbal and written skills; you can present a dashboard to a stakeholder and clearly articulate the business value.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, Design, or a related field.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonTableauDimensional ModelingData ModelingELTETLData QualityData GovernancePerformance Tuning
Soft skills
Internal ConsultingMentorshipCommunicationData StorytellingAnalytical ThinkingProblem SolvingCollaborationDocumentationUser Experience DesignStakeholder Engagement
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in MathematicsBachelor’s degree in Information SystemsBachelor’s degree in Design