Data Analyst

Position Summary

The Data Analyst supports the company’s data and analytics initiatives by designing, developing, and maintaining dashboards, reports, and data solutions that provide actionable insights to leadership and stakeholders. This role is responsible for transforming complex data into clear, meaningful visualizations and analysis to support data-driven decision-making. The Data Analyst partners with technical teams and business stakeholders to ensure data accuracy, accessibility, and usability. This position contributes to advanced analytics, forecasting, and continuous improvement of reporting capabilities. Essential Duties and Responsibilities Design, develop, and maintain dashboards and reports using Power BI. Build and maintain data models, custom measures, and calculations using DAX and Power Query. Analyze and validate data from multiple sources to ensure accuracy, consistency, and usability. Write, optimize, and maintain SQL queries for data extraction, transformation, and reporting. Present insights, trends, and findings clearly to executive leadership and non-technical stakeholders. Develop predictive models and apply forecasting and statistical techniques to support business planning. Leverage Azure Data Factory, Databricks, and Microsoft Fabric to support advanced analytics solutions. Partner with stakeholders to define reporting requirements and deliver analytics solutions aligned with business needs. Educate and support teams on data concepts, reporting tools, and analytics best practices. Operate effectively in a fast-paced, entrepreneurial environment while managing multiple priorities. Additional duties and responsibilities assigned due to business needs. Knowledge, Skills, and Abilities Strong proficiency in Power BI, including DAX, Power Query, and data modeling. Strong SQL skills with the ability to extract, transform, and analyze data efficiently. Experience with Azure Data Factory, Databricks, and Microsoft Fabric. Ability to present complex data clearly and effectively to non-technical audiences. Knowledge of predictive analytics, forecasting, machine learning, and statistical analysis techniques. Strong analytical and problem-solving skills with attention to detail. Passion for data visualization, continuous learning, and process improvement. Ability to collaborate effectively with technical and business stakeholders. Strong organizational, time-management, and prioritization skills. Education, Training, and Experience High school diploma required; college degree in Mathematics, Statistics, Computer Science, or a related field preferred. 3+ years of experience in data analytics, business intelligence, or a related role required. 3+ years of hands-on experience with Power BI required. Demonstrated experience developing dashboards, reports, and data models required. Experience working with cloud-based data platforms and analytics tools preferred. Experience presenting data insights to leadership and non-technical audiences preferred.