What are the responsibilities and job description for the Senior Analytics Engineer position at TURNBRIDGE Technical Solutions?
Location: Greenville, SC or Remote (EST preferred)
Employment Type: Full-Time
About TURNBRIDGE
TURNBRIDGE is a technical solutions and talent delivery firm built on precision, speed, and accountability. We specialize in connecting high-performing technologists with complex, high-impact initiatives—delivering fast shortlists, fewer interviews, and start-date certainty. Our teams work on meaningful challenges where data, engineering, and strategy intersect to drive real business outcomes.
Role Overview
TURNBRIDGE is seeking a Senior Analytics Engineer to join our analytics practice and play a critical role in designing and delivering scalable, enterprise-grade data solutions. This role serves as a key technical partner to stakeholders across Sales, Finance, and Operations, transforming complex datasets into trusted, actionable insights that improve efficiency, profitability, and strategic decision-making.
You’ll work across the full business lifecycle—financial performance, revenue and pricing, demand forecasting, inventory management, and operational execution—while collaborating closely with analytics, BI, and cross-functional teams to embed analytics into core business processes.
What You’ll Do
Required Qualifications
Employment Type: Full-Time
About TURNBRIDGE
TURNBRIDGE is a technical solutions and talent delivery firm built on precision, speed, and accountability. We specialize in connecting high-performing technologists with complex, high-impact initiatives—delivering fast shortlists, fewer interviews, and start-date certainty. Our teams work on meaningful challenges where data, engineering, and strategy intersect to drive real business outcomes.
Role Overview
TURNBRIDGE is seeking a Senior Analytics Engineer to join our analytics practice and play a critical role in designing and delivering scalable, enterprise-grade data solutions. This role serves as a key technical partner to stakeholders across Sales, Finance, and Operations, transforming complex datasets into trusted, actionable insights that improve efficiency, profitability, and strategic decision-making.
You’ll work across the full business lifecycle—financial performance, revenue and pricing, demand forecasting, inventory management, and operational execution—while collaborating closely with analytics, BI, and cross-functional teams to embed analytics into core business processes.
What You’ll Do
- Lead the design, development, and optimization of scalable data pipelines and analytical frameworks across financial, logistics, and sales domains
- Develop and optimize advanced SQL queries and Python scripts to support complex data extraction, transformation, and analysis
- Design and maintain end-to-end data ingestion workflows, integrating internal and third-party data sources using APIs and modern ELT/ETL practices
- Build, manage, and continuously improve enterprise dashboards and reporting solutions using Tableau, Power BI, Databricks, or comparable platforms
- Own and manage data workflows within Databricks, including notebooks, Delta Lake, Spark SQL, and job orchestration
- Serve as a technical subject matter expert and mentor to junior and mid-level analysts
- Partner with business stakeholders to define KPIs, translate strategic requirements into analytical solutions, and present insights to leadership
- Establish and enforce data quality standards, documentation practices, and governance policies across datasets and reporting layers
- Proactively identify opportunities to improve data infrastructure, reporting efficiency, and overall analytics maturity
Required Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field—or equivalent practical experience
- 3-5 years of experience in analytics engineering, data engineering, or a related discipline
- Hands-on experience with APIs, data ingestion processes, and ELT/ETL pipelines
- Experience building dashboards and reports using BI tools such as Tableau or Power BI
- Experience working with business data across financial, sales, and/or operational domains
- Strong proficiency in SQL and Python for analytics and data engineering
- Experience with modern data platforms such as Databricks, including Spark SQL and Delta Lake
- Solid understanding of data modeling concepts, including star and snowflake schemas and dimensional modeling
- Experience with BI tools and data visualization best practices
- Familiarity with version control and deployment workflows (e.g., Git, CI/CD pipelines)
- Strong analytical and problem-solving abilities with exceptional attention to detail
- Ability to translate business requirements into scalable data solutions and actionable insights
- Clear, effective communicator able to collaborate with both technical and non-technical stakeholders
- Highly organized with the ability to manage multiple priorities and meet deadlines
- Self-directed, accountable, and comfortable working independently within a collaborative team environment
- Precision-Driven Delivery - Work in an environment focused on quality, clarity, and measurable outcomes
- High-Impact Work - Contribute to initiatives that directly influence business performance and strategy
- Growth-Oriented Culture - Opportunities to expand your technical depth and leadership impact
- Competitive Compensation & Benefits - Including health and wellness programs, generous time off, financial planning resources, and a strong 401(k) match
- Long-Term Partnership Mindset - We invest in people, not just placements