Dynatron Software, Inc.

Data Analyst

Dynatron Software, Inc.

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $95,000 - $120,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftBigQueryCloudETLNumpyPandasPythonSQLTableau

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata extractiondata profilingdata validationdata automationanalytical modelingdimensional modelingdata warehousingELT/ETL processes
Soft skills
communication skillsattention to detailownership mentalityproblem-solving mindsetability to manage multiple prioritiesability to meet deadlines