Data Insight ANALYST Full Time NEW

Location: United States

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Data Insights Analyst to transform complex data into actionable business insights. The successful candidate will analyze large datasets, identify trends and opportunities, develop reports and dashboards, and provide recommendations that support strategic decision-making and business growth.

Key Responsibilities

• Collect, analyze, and interpret data from multiple sources to identify trends and business opportunities.
• Develop and maintain dashboards, reports, and key performance indicators (KPIs).
• Translate complex data findings into clear and actionable insights for stakeholders.
• Support business planning and decision-making through data-driven recommendations.
• Conduct ad hoc analyses to address operational, financial, and strategic business questions.
• Collaborate with cross-functional teams to understand business requirements and reporting needs.
• Monitor performance metrics and identify areas for improvement.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Present analytical findings and recommendations to management and stakeholders.
• Support data governance and continuous improvement initiatives.

Required Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a related field.
• 1–3 years of experience in data analysis, business intelligence, reporting, or a related analytical role.
• Strong proficiency in SQL for data extraction and analysis.
• Advanced Microsoft Excel skills, including PivotTables, formulas, and data analysis functions.
• Experience with Power BI, Tableau, Looker, or similar reporting and visualization tools.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent communication and presentation skills.
• Ability to manage multiple projects and deadlines.

Preferred Qualifications

• Experience with Python or R for data analysis and automation.
• Knowledge of statistical analysis and data modeling techniques.
• Familiarity with data warehousing, ETL processes, and cloud platforms.
• Experience supporting business strategy, operations, marketing, or finance teams.
• Relevant certifications in analytics, business intelligence, or data management are a plus.