Forward-Deployed Data Engineer - AI, BI & ROI

Datavations; New York, Northern (NY, KY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Equity

Performance bonuses

Benefits package

Job summary

Datavations, a New York–based data and AI software company, helps manufacturers optimize pricing, inventory, and product assortment through data-driven insights. The role focuses on building end-to-end data products and delivering actionable insights from various data sources in the retail and manufacturing sectors.

The position emphasizes collaboration with data science, engineering, and sales teams, with opportunities to work on new product lines and modern tooling.

Qualifications

• Analytics and/or financial reporting knowledge.
• Proficiency with Excel and PowerPoint for data storytelling.
• Strong SQL and/or Python programming skills.
• Experience with time-series methods for analytics (Prophet, ARIMA, Tukey’s Fences).
• Familiarity with dimensional data models and dbt.

Responsibilities

• Manage client relationships and provide technical support to maintain excellence and drive new product development.
• Support end-to-end implementations to ensure data quality, adoption and customizations for customer satisfaction.
• Quarterback account teams and engineering resources to drive success for our customers.
• Execute on customer needs leveraging technical skillsets in a timely manner.
• Understand the full data pipeline from data aggregation to product delivery.

Skills

Analytics

Financial reporting

Excel

PowerPoint

SQL

Python

Time-series

Tools

Jira

dbt

Snowflake

BigQuery

ClickHouse

Terraform

OpenTelemetry

GenAI tools

Job description

Datavations, a New York–based data and AI software company, helps manufacturers optimize pricing, inventory, and product assortment through data-driven insights. The role focuses on building end-to-end data products and delivering actionable insights from various data sources in the retail and manufacturing sectors.

The position emphasizes collaboration with data science, engineering, and sales teams, with opportunities to work on new product lines and modern tooling.