Data Analyst

Role Overview

As a Data Analyst with LHH in the Columbus, Ohio Metropolitan Area, you will be responsible for gathering, validating, and examining data from diverse sources to reveal trends and business insights. This role supports operational and strategic decisions by creating and updating dashboards, reports, and visualizations focused on key performance indicators and other crucial business metrics.

Key Responsibilities

• Collect and verify data from various platforms to discover trends, patterns, and potential business opportunities.
• Create and manage dashboards and detailed reports that assist leadership and operational teams in decision-making.
• Track and communicate key performance indicators and business metrics regularly.
• Interpret complex datasets, transforming them into actionable insights and understandable recommendations for stakeholders.
• Work closely with teams across departments to gather reporting requirements and understand business needs.
• Conduct specialized analyses on demand to back strategic projects and optimize operational activities.
• Maintain the accuracy, consistency, and reliability of data within reporting frameworks.
• Explore and suggest process improvements for enhanced efficiency through data-driven approaches.
• Present analytical results and recommendations clearly to management and business units.

Required Qualifications

• Bachelor’s degree in fields such as Data Analytics, Statistics, Mathematics, Business, Information Systems, Economics, or relevant disciplines.
• Minimum of two years’ experience in data analysis, business intelligence, reporting, or equivalent analytical roles.
• Advanced skills in Microsoft Excel, including use of PivotTables, VLOOKUP/XLOOKUP, and associated data analysis features.
• Proficient in writing and managing SQL queries.
• Strong analytical mindset coupled with problem-solving aptitude and critical thinking.
• Effective communication and presentation capabilities.

Preferred Skills and Experience

• Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
• Understanding of data modeling principles and database architectures.
• Experience interfacing with ERP, CRM, HRIS, or financial information systems.
• Working knowledge of analytical programming languages like Python or R.
• Background in data warehousing and business intelligence environments.