Data Analyst

37 minutes ago

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Dynatron Software, Inc.

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Automotive • SaaS • Analytics

Dynatron Software, Inc. is a company that combines advanced analytics software with expert coaching to help automotive service departments maximize their revenue opportunities. Their product suite includes various solutions like PriceSmart for optimizing labor and part pricing, FileSmart for enhancing warranty labor rates and parts markup, SellSmart for increasing service sales to existing customers, and MarketSmart for boosting service department traffic through strategic marketing campaigns. With a focus on increasing profitability, Dynatron collaborates closely with dealerships to identify and capitalize on hidden revenue streams using their proprietary analytics and extensive repair order database.

51 - 200 employees

Founded 1999

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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