Position Overview

We are seeking an experienced Data Analyst to support the development of enterprise reporting, business intelligence, and data-driven insights. This individual will be responsible for analyzing complex datasets, developing meaningful performance metrics, and creating intuitive dashboards that help business stakeholders better understand trends, identify opportunities, and make informed decisions.

The ideal candidate brings strong technical expertise in SQL, Databricks, and data visualization, combined with the ability to translate business questions into actionable analytical solutions. This role requires someone who is comfortable working with large volumes of data, collaborating across technical and business teams, and communicating findings to a variety of audiences.

Key Responsibilities

• Design, develop, and maintain interactive dashboards, reporting solutions, and executive-level scorecards using Databricks and other business intelligence technologies.

• Partner with business stakeholders to understand reporting needs, establish key performance indicators (KPIs), and translate requirements into effective analytical solutions.

• Perform exploratory data analysis to identify trends, patterns, anomalies, and opportunities for operational improvement.

• Analyze business processes, user interactions, and performance metrics to evaluate the effectiveness of organizational initiatives.

• Develop reporting frameworks that provide visibility into business performance, operational efficiency, and user engagement.

• Work closely with Data Engineering teams to understand data structures, validate source information, and ensure the availability of reliable datasets for analysis.

• Conduct data quality assessments, investigate discrepancies, and collaborate with technical teams to resolve reporting inconsistencies.

• Support the evaluation of emerging technologies and digital solutions through quantitative analysis and performance measurement.

• Communicate analytical findings through compelling visualizations, concise reporting, and actionable recommendations.

• Continuously improve existing dashboards, reporting processes, and analytical methodologies to meet evolving business needs.

Required Qualifications

• 5+ years of professional experience in data analytics, business intelligence, reporting, or a related discipline.

• Advanced SQL proficiency, including experience querying, joining, transforming, and analyzing large, complex datasets.

• Hands-on experience with Databricks, including developing dashboards and performing analytical queries.

• Demonstrated experience designing and maintaining dashboards, KPI frameworks, scorecards, and business performance reports.

• Strong understanding of data analysis techniques, reporting methodologies, and data visualization best practices.

• Proven ability to gather business requirements and translate them into scalable reporting and analytics solutions.

• Experience performing ad hoc analysis, investigating data discrepancies, and identifying meaningful business trends.

• Strong communication and presentation skills, with the ability to explain technical findings to nontechnical stakeholders.

• Ability to work independently, manage competing priorities, and collaborate effectively with cross-functional teams.

Preferred Qualifications

• Experience using Python for data manipulation, exploratory analysis, and automation.

• Familiarity with Power BI or similar enterprise business intelligence platforms.

• Experience analyzing customer-facing processes, digital interactions, or operational performance.

• Exposure to analytics supporting automation, artificial intelligence, or other emerging technology initiatives.

• Understanding of data warehousing concepts, data modeling, and modern cloud-based analytics environments.

• Experience working with data engineering teams in enterprise-scale data ecosystems.

Ideal Candidate

The successful candidate will be a curious, detail-oriented analyst who enjoys working with complex data and uncovering insights that drive measurable business value. They should possess a strong combination of technical analytical skills, business acumen, and communication abilities.

This individual should be comfortable navigating unfamiliar datasets, asking thoughtful questions, challenging assumptions, and taking ownership of analytical deliverables from initial requirements through final presentation.