Job Description

Senior Data Analyst

Job Summary

Seeking a highly skilled and experienced Senior Data Analyst to join a growing team. In this role, you will play a pivotal part in advancing our enterprise reporting, analytics, and business intelligence capabilities. Collaborating closely with technology teams, business leaders, and data professionals, you will transform complex datasets into actionable insights that drive operational efficiency and strategic decision-making.

Compensation Package

• Competitive salary based on experience and qualifications
• Comprehensive benefits package, including health, dental, and vision insurance
• Generous paid time off and holiday schedule
• Professional development opportunities and access to training resources
• Flexible work environment with opportunities for remote work

Responsibilities

Reporting & Analytics Solutions

• Develop and maintain interactive dashboards, operational reports, and executive-level analytics using modern BI tools.
• Build scalable reporting frameworks to support recurring and on-demand data analysis.
• Ensure reporting accuracy and consistency across multiple functional areas, including finance, operations, and sales.
• Deliver scheduled and ad-hoc insights to help teams monitor performance and identify opportunities.

Data Exploration & Insight Generation

• Conduct in-depth analysis on large datasets to identify patterns, trends, and performance drivers.
• Apply analytical methods and statistical techniques to answer business questions.
• Translate complex data into actionable insights for both technical and non-technical stakeholders.
• Establish validation processes to improve reliability and trust in enterprise data assets.

Data Modeling & Query Development

• Develop complex queries, views, and stored procedures to support analytics workloads.
• Collaborate with data engineering teams to design efficient data models and improve reporting structures.
• Optimize performance through query tuning, indexing strategies, and enhanced data model architecture.

Automation & Efficiency Improvements

• Streamline recurring reporting tasks through automation and improved data workflows.
• Replace manual reporting processes with scalable business intelligence solutions.
• Implement monitoring and quality checks to ensure ongoing data accuracy and reliability.

Business Collaboration

• Partner with stakeholders to understand analytical needs and translate requirements into technical deliverables.
• Present analytical findings and recommendations in a clear, actionable format.
• Participate in initiatives focused on improving analytics platforms and data infrastructure.

Leadership & Best Practices

• Provide guidance and mentorship to junior analysts on query development, data modeling, and reporting design.
• Promote consistent metric definitions, documentation standards, and reporting governance across teams.
• Support the development of internal documentation and shared knowledge resources related to analytics and data management.

Qualifications/Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Several years of professional experience in data analysis, reporting, or business intelligence roles.
• Strong SQL development skills with experience building complex queries and optimizing performance.
• Hands-on experience with modern BI and visualization tools, including dashboard development and report design.
• Experience working with dimensional data models and structured analytics environments.
• Familiarity with Python for data analysis (such as pandas or NumPy) is preferred.
• Exposure to cloud-based data platforms or modern data infrastructure environments is beneficial.
• Strong communication skills with the ability to translate analytical findings into business insights.

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