Senior Data Analytics & Insights Analyst

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. We're looking for a highly analytical and technically strong Data Analyst to join our team and turn complex data into meaningful business insights.

Salary is 100k to 110k + bonus

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.
• Power BI or Tableau experience.
• 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.