Data Analyst

About Dynatron

Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealerships and service departments. Our proprietary analytics and workflow tools empower service leaders to boost profitability, enhance customer satisfaction, and unlock operational excellence. Backed by strong momentum, customer success, and market demand, we’re scaling, and we’re just getting started.

The Opportunity

We’re seeking a highly skilled and detail-oriented Data Analyst to join our growing team. In this role, you will work across large-scale enterprise data environments to ensure complete, accurate, and trusted data for the business. You will analyze complex datasets, investigate anomalies, validate historical information, and support data governance to strengthen the overall reliability of our data ecosystem.

The ideal candidate is an expert in SQL, proficient in Python, and comfortable navigating modern analytics tools and cloud data platforms. You thrive in complex data environments, enjoy solving challenging data problems, and can translate analytical findings into actionable insights for technical and non-technical teams alike. If you’re passionate about enabling high-quality data in a high-growth SaaS organization, this is an opportunity to make a meaningful impact.

What You’ll Do

• Analyze large, complex datasets to identify discrepancies, trends, anomalies, and root-cause data issues.
• Perform historical data research to validate business logic, reconcile legacy data, and ensure long-term data accuracy and consistency.
• Write advanced SQL and Python scripts for data extraction, profiling, validation, automation, and analytical modeling.
• Support and validate data modeling activities, including dimensional modeling and warehouse structure reviews.
• Strengthen data quality through meticulous metadata documentation, validation of business definitions, and participation in data governance efforts.
• Build dashboards, reports, and analytical insights using Tableau, Power BI, Looker, Sigma, or Excel.
• Collaborate closely with Data Engineering, Product, and Business stakeholders to translate analytical findings into actionable recommendations and data-driven decisions.

What You Bring

• 4-5 years of progressive data analysis experience in enterprise or large-scale data environments.
• Expert-level SQL skills, including joins, window functions, CTEs, aggregations, and performance tuning.
• Strong Python skills (Pandas, NumPy, Jupyter) with experience building automated validation and analysis workflows.
• Proficiency with modern BI tools such as Tableau, Power BI, Looker, Sigma, and Excel.
• Strong understanding of data warehousing concepts, ELT/ETL processes, and dimensional modeling (Star/Snowflake).
• Experience working with cloud data platforms such as Snowflake, Redshift, BigQuery, or Databricks.
• Familiarity with metadata management, data lineage, and data governance frameworks.
• Excellent communication skills with the ability to explain complex data findings clearly to technical and non-technical audiences alike.
• High attention to detail, strong ownership mentality, and a proactive, problem-solving mindset.
• Ability to thrive in a fast-paced environment while managing multiple priorities and meeting deadlines.

Nice to Have

Domain Knowledge

• Experience with finance-related data (payments, AR/AP, revenue, margin, cost analysis).
• Familiarity with logistics, supply chain, fulfillment, or warehouse operations.
• Exposure to transportation data, including carrier performance, fleet operations, and routing optimization.

Reporting & Advanced Analytics

• Experience with geospatial analytics or tools such as ArcGIS, QGIS, Mapbox, Kepler.gl, or spatial extensions in BI tools.
• Background in geocoding, location-based analysis, route optimization, or spatial joins.
• Ability to build location-aware dashboards for logistics, transportation, or regional performance reporting.
• Industry-relevant BI certifications (e.g., Tableau, Power BI).

Why Dynatron

• Opportunity to play a critical role in shaping data quality and analytics in a fast-growing SaaS company.
• High impact and visibility across cross-functional teams and key business initiatives.
• Culture rooted in our core values: Success Driven, Delivering Results, Sense of Urgency, Accountability, and Positive Attitude.
• Remote-first environment with flexibility and autonomy.

Compensation

Base Salary: $95,000 - $120,000/yr

Equity: Participation in Dynatron’s Equity Incentive Plan

Benefits Summary

• Comprehensive health, vision, and dental insurance
• Employer-paid short- and long-term disability and life insurance
• 401(k) with competitive company match
• Flexible vacation policy and 11 paid holidays
• Remote-first culture

Ready to elevate data integrity, analytical excellence, and business insights at a high-growth SaaS company in an under-innovated industry? Join Dynatron as we build trusted data foundations and drive extraordinary results together.