Senior Analytics Engineer

TURNBRIDGE Technical Solutions

Greenville, SC

JOB DETAILS
SKILLS
Analysis Skills, Application Programming Interface (API), Best Practices, Business Analysis, Business Intelligence, Business Intelligence Software, Business Processes, Business Skills, Business Strategy, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Science, Data Sets, Data Visualization Tools, Database Extract Transform and Load (ETL), Demand Forecasting/Planning, Detail Oriented, Dimensional Modeling, Financial Operations, Financial Services, Git, Inventory Management, Leadership, Logistics, Mathematics, Mentoring, Multitasking, Organizational Skills, Performance Metrics, Power BI, Pricing, Problem Solving Skills, Profit & Loss, Python Programming/Scripting Language, Query Optimization, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Sales, Snowflake Schema, Software Engineering, Source Code/Configuration Management (SCM), Star Schema, Statistics, Strategic Analysis, Tableau, Team Player, Time Management
LOCATION
Greenville, SC
POSTED
1 day ago

Senior Analytics Engineer

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

  • 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

What You Bring

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

Technical Skills

  • 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)

Professional Skills

  • 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

Why TURNBRIDGE

  • 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


About the Company

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TURNBRIDGE Technical Solutions