Data and Analytics Engineer

Growve•Nashville, TN

1d•Hybrid

About The Position

Growve is a leading health and wellness company specializing in acquiring, operating, and growing world-class brands within the active nutrition, dietary supplement, and beauty verticals. Our portfolio includes 16+ brands and thousands of unique products. We're looking for a Data & Analytics Engineer to strengthen our data pipeline, integration, automation, and business intelligence support capabilities. This is a hybrid role: part of the time is spent on backend engineering (pipeline backup, systems integration, automation, technical support for an internal AI-powered analytics platform), and part is spent front-facing — serving as a point of contact for stakeholders across the organization who have questions about, or requests for, our Power BI reporting environment. It's a role suited to someone who's equally comfortable writing code and talking through requirements with a non-technical stakeholder.

Requirements

Proficiency in Python for scripting, data processing, and automation.
Experience with workflow orchestration tools (Airflow or equivalent) and cloud data warehouses (BigQuery or equivalent), including SQL proficiency.
Experience with iPaaS/workflow automation platforms (Make, Zapier, Workato, or similar) — specific platform experience less important than a strong grasp of REST APIs, webhooks, and authentication patterns (OAuth, API keys) needed to connect disparate systems.
Working knowledge of Power BI, including report/dashboard development and troubleshooting — enough to both build and support existing tools, not just consume them.
Strong communication skills and comfort engaging directly with stakeholders across the organization to understand needs, set expectations, and translate requests into technical requirements.
Working knowledge of Git/GitHub and CI/CD concepts (GitHub Actions or similar).
Comfort with cloud authentication and secrets management practices.
Strong data validation and quality-assurance instincts — comfortable reconciling and vetting data from external sources.
Ability to work independently, prioritize across competing requests, learn new tools/platforms quickly, and partner effectively with both technical and business stakeholders.

Responsibilities

Support and help maintain our cloud-based data pipeline infrastructure (Python/Airflow orchestration into BigQuery), with enough depth to provide reliable coverage during team absences or periods of high demand.
Design, build, and maintain workflow automations (e.g., using iPaaS tools like Make) that connect task management, product information, and other business systems — translating business processes into reliable, API-driven integrations rather than relying on platform-specific expertise.
Partner on the technical infrastructure behind an internal AI-powered analytics assistant: working in a modern IDE (VS Code), managing code via Git/GitHub, building and maintaining CI/CD workflows (GitHub Actions or similar), and handling authentication/secrets management for cloud services.
Build and maintain integrations that synchronize product and item data between a task management system, a product information management (PIM) platform, and our ERP (Microsoft Business Central) — including partnering with our ERP team to define and build the necessary API endpoints.
Support onboarding of new external data sources (e.g., manufacturer/supplier data feeds) into our reporting environment, including data validation and quality checks before integration.
Act as a front-line point of contact for incoming Power BI/reporting requests from across the organization: triaging questions, troubleshooting existing reports and tools, and gathering requirements for new capabilities — handling straightforward requests and implementation directly, and scoping/handing off more complex work to the right teammate.
Identify and propose further automation or reliability improvements across the data, integration, and reporting stack as opportunities arise.