Data Analyst

Overview

We are looking for motivated and detail-oriented Data Analysts to join our expanding team in the United States. This full-time role offers flexibility with onsite, hybrid, and remote working options. Ideal candidates have a passion for turning complex datasets into valuable business insights through reporting, dashboard creation, and analytics.

Key Responsibilities

• Gather, clean, validate, and analyze extensive datasets from diverse sources.
• Design and build interactive dashboards and comprehensive business reports.
• Conduct data mining, perform statistical and trend analyses.
• Develop key performance indicators (KPIs) and executive-level reporting tools.
• Compose efficient SQL queries for extracting and compiling data.
• Work collaboratively with cross-functional groups including Data Engineers, Data Scientists, Product Managers, and leadership to understand business needs.
• Maintain and uphold data quality, accuracy, and governance standards across reporting systems.
• Communicate analytical insights clearly to both technical and business stakeholders.
• Support initiatives based on business intelligence and data-driven decision-making.
• Document reporting processes and analytical model details thoroughly.

Qualifications and Skills

• Required educational qualification: Master’s Degree in Data Analytics, Business Analytics, Data Science, Computer Science, IT, Information Systems, Statistics, Mathematics, Computer Engineering, Economics, or similarly quantitative/technical disciplines.
• Experience ranging from 0 to 3 years in Data Analytics, Business Intelligence, Reporting, Business Analysis, Data Visualization, or related domains.
• Proficient in SQL, Excel, reporting technologies, and analytical methods.
• Good grasp of statistical concepts, data visualization techniques, and business intelligence frameworks.
• Strong analytical thinking, problem-solving capabilities, and communication skills.

Preferred Technical Knowledge

• SQL programming and query optimization
• Python scripting
• Advanced Microsoft Excel usage
• Power BI dashboard development
• Tableau visualization tools
• Data visualization best practices
• Statistical analysis methodologies
• Business intelligence strategies
• Data preparation and cleaning techniques
• Reporting and dashboard creation skills