Senior Data Analytics & Insights Analyst

Phaxis; Nashville (TN); On-site; USD 65,000 - 95,000; Full time

Job summary

Phaxis is seeking a highly analytical Data Analyst to join our team in Nashville. This hands-on role focuses on turning complex data into meaningful business insights using Python and SQL, with dashboards that influence decisions.

You will build and optimize queries, transform data, create reports in Power BI or Tableau, and collaborate with business and technology teams to deliver actionable recommendations. Experience with large datasets and strong communication are essential.

Qualifications

• 3+ years of professional experience in data analytics, business intelligence, or a related field.
• Strong hands-on Python experience.
• Strong hands-on SQL experience.
• Experience with large datasets and relational databases.
• Experience with data transformation, analysis, and visualization.
• Strong analytical, problem-solving, and communication skills.
• Ability to turn complex data into clear, actionable business recommendations.

Responsibilities

• Analyze large and complex datasets using Python and SQL to uncover trends, patterns, and opportunities.
• Build and optimize SQL queries, analytical datasets, reports, and dashboards.
• Develop Python-based data analysis and automation solutions.
• Clean, transform, validate, and reconcile data from multiple sources.
• Partner with business and technology teams to translate requirements into impactful analytical solutions.
• Build dashboards and visualizations using Power BI, Tableau, or similar tools.
• Identify data quality issues and develop solutions to improve accuracy and reliability.
• Develop KPIs and performance metrics that help leadership make informed decisions.
• Present insights and recommendations to both technical and business stakeholders.
• Support ad hoc analysis, forecasting, and strategic business initiatives.

Skills

Python

SQL

Data analytics

Relational databases

Data transformation

Visualization

Tools

Power BI

Tableau

ETL/ELT

Snowflake

Databricks

BigQuery

Job description

We're looking for a highly analytical and technically strong Data Analyst to join our team and turn complex data into meaningful business insights. This is a hands-on role for someone who enjoys working with Python and SQL, uncovering trends, solving challenging data problems, and building analytics that directly influence business decisions.

Responsibilities:

• Analyze large and complex datasets using Python and SQL to uncover trends, patterns, and opportunities.
• Build and optimize SQL queries, analytical datasets, reports, and dashboards.
• Develop Python-based data analysis and automation solutions.
• Clean, transform, validate, and reconcile data from multiple sources.
• Partner with business and technology teams to translate requirements into impactful analytical solutions.
• Build dashboards and visualizations using Power BI, Tableau, or similar tools.
• Identify data quality issues and develop solutions to improve accuracy and reliability.
• Develop KPIs and performance metrics that help leadership make informed decisions.
• Present insights and recommendations to both technical and business stakeholders.
• Support ad hoc analysis, forecasting, and strategic business initiatives.

Required Qualifications:

• 3+ years of professional experience in data analytics, business intelligence, or a related field.
• Strong hands-on Python experience is required.
• Strong hands-on SQL experience is required.
• Experience working with large datasets and relational databases.
• Experience with data transformation, analysis, and visualization.
• Strong analytical, problem-solving, and communication skills.
• Ability to turn complex data into clear, actionable business recommendations.

Preferred Qualifications:

• Experience with Pandas, NumPy, or other Python analytics libraries.
• Experience with cloud data platforms such as AWS, Azure, or GCP.
• Experience with Snowflake, Databricks, BigQuery, or similar platforms.
• Experience with ETL/ELT and data pipelines.
• Experience with statistical analysis, forecasting, or predictive analytics.
• Experience using AI/GenAI tools to enhance analytics and automation.