Senior Data Engineer

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Fortive

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

🏢 Enterprise

⚕️ Healthcare Insurance

💰 Post-IPO Equity on 2020-03

Enterprise • Healthcare Insurance

Fortive is a global industrial technology company that specializes in delivering advanced healthcare solutions, intelligent operating solutions, and precision technologies. With a team of 18,000 employees, Fortive works on solving tough technical challenges, empowering safer, smarter, and more efficient industrial operations. The company emphasizes sustainability, integrity, and continuous improvement, striving for a future that's stronger, safer, and smarter. Fortive has been recognized as one of America's Most Responsible Companies, demonstrating its commitment to positive social and environmental impact.

📋 Description

• Transform data into actionable insights that support revenue growth, operational efficiency, and strategic planning. • Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight. • Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences. • Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations. • Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs). • Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively. • Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes. • Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling. • Present findings and recommendations to senior leadership, including options and trade-offs. • Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles. • Contribute to additional analytics initiatives as business needs evolve.

🎯 Requirements

• 4–5 years of experience using SQL for data extraction and transformation, and Python for advanced analytics, automation, or modeling. • Hands-on experience with forecasting and predictive modeling to support strategic decision-making. • Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery. • Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs. • Advanced proficiency with BI and visualization tools such as Power BI or Tableau, including best practices for data storytelling. • Proven ability to lead analytics projects end-to-end—from business requirements through analysis, insights, and executive recommendations. • Experience delivering measurable business impact through analytics, reporting, revenue operations, or related roles. • Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights for senior stakeholders.

🏖️ Benefits

• Competitive compensation and benefits package (details shared during the interview process) • Flexibility to support work-life balance, in line with company policy