Data Analyst

Position Overview

As a Data Analyst at nexAir, LLC based in Memphis, TN, you will be instrumental in harnessing data to drive informed business decisions. This role involves collaborating closely with sales, operations, and leadership teams to convert business questions into actionable insights and delivering reliable data solutions using advanced tools and techniques.

Key Responsibilities

• Collaborate cross-functionally to translate complex business queries into clear insights.
• Extract, cleanse, and validate data from diverse sources to ensure accuracy in reporting.
• Develop and maintain interactive dashboards and reports to monitor performance and aid decision-making.
• Utilize Microsoft Fabric along with contemporary analytics technologies to build scalable data solutions.
• Automate regular data retrieval, reporting, and workflow processes to boost operational efficiency.
• Incorporate AI technologies and emerging tools to enhance productivity, optimize analysis, and uncover new business opportunities.
• Address ad hoc analytical requests and diagnose business issues, recommending actionable remedies.
• Approach challenges with creative problem-solving methods and question traditional strategies.
• Pursue continuous improvements in processes, increasing automation and resource efficiency.
• Promote a data-driven culture by effectively communicating complex data insights into understandable business recommendations.

Required Qualifications

• A bachelor's degree in a relevant field or practical equivalent experience.
• Minimum of 2 years’ professional experience handling business data.
• Advanced proficiency in Excel, SQL, and crafting detailed reports.
• Experience with Microsoft Fabric and Power BI platforms.
• Competence in applying AI tools to elevate analysis and streamline reporting.
• The ability to analyze complex data sets and deliver meaningful insights and suggestions.
• Excellent problem-solving abilities, thinking innovatively beyond conventional methods.
• Strong communicator who can translate analytics to non-technical stakeholders and foster interdepartmental trust.

Preferred Qualifications

• Hands-on experience in data modeling, automation, and business intelligence standards.
• Knowledge of Python or other analytic/programming languages.
• Understanding of statistical and predictive analytics techniques.
• Demonstrated success in optimizing workflows with automation and AI-driven solutions.
• Attention to detail paired with curiosity and commitment to continuous enhancement.
• Talent for balancing innovative ideas with operational efficiency to maximize output.

Success Indicators

• Providing dependable and actionable data insights that steer business decisions.
• Identifying and implementing automation and process enhancements.
• Leveraging AI and analytics tools to improve team productivity and impact.
• Injecting creativity and fresh thinking to overcome business challenges.
• Designing scalable reporting systems that reduce manual tasks and enhance organizational decisions.