Data Analyst

About the Role

We are a technology-driven organization focused on using data and innovation to support smarter business decisions. We are seeking a motivated Data Analyst to transform complex datasets into meaningful insights that improve business performance and operational efficiency.

In this role, you will work with data from multiple sources, support reporting needs across the business, and help turn analysis into clear, actionable recommendations. You will collaborate with both technical and non-technical stakeholders to ensure reporting is accurate, relevant, and aligned with business goals.

What You'll Do

• Collect, clean, validate, and analyze data from multiple sources.
• Query databases using SQL to extract, organize, and prepare relevant information for analysis.
• Develop and maintain dashboards, reports, and performance metrics for business stakeholders.
• Create data visualizations using Power BI, Tableau, or similar business intelligence tools.
• Identify trends, patterns, and opportunities that can support business improvement.
• Work closely with stakeholders to understand reporting needs and translate them into analytical outputs.
• Present findings and recommendations in a clear way to both technical and non-technical audiences.
• Automate recurring reports and streamline data analysis workflows where possible.
• Maintain documentation for data sources, analytical methods, and reporting procedures.

Key Responsibilities

• Own the accuracy, consistency, and reliability of reports, dashboards, and performance metrics.
• Ensure data quality by monitoring source data, validating outputs, and identifying discrepancies.
• Support business decision-making by delivering timely, well-structured, and actionable analysis.
• Build repeatable reporting processes that improve operational efficiency and reduce manual effort.
• Partner with stakeholders across the business to clarify reporting requirements and analytical priorities.
• Maintain clear documentation that supports transparency, continuity, and effective use of data assets.
• Contribute to a data-informed culture by helping teams interpret results and use insights effectively.

Requirements

• Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, or a related field.
• 2–4 years of experience in data analysis or a similar role.
• Strong knowledge of SQL and relational databases.
• Experience with Microsoft Excel, including pivot tables and advanced formulas.
• Hands-on experience with Power BI, Tableau, or other business intelligence tools.
• Familiarity with statistical analysis and data interpretation.
• Strong problem-solving, communication, and organizational skills.
• Excellent attention to detail and a commitment to data accuracy.

Nice to Have

• Experience working with data from multiple business systems or operational data sources.
• Ability to improve or automate recurring reporting processes.
• Experience presenting analytical findings to a mix of technical and non-technical stakeholders.
• Familiarity with documenting reporting logic, data definitions, and analytical workflows.
• Comfort working in a fast-paced, technology-driven environment.

Why Join Us

• Join a technology-driven organization where data and innovation play a central role in business decision-making.
• Work on meaningful analytical problems that directly improve business performance and operational efficiency.
• Collaborate with a range of stakeholders and gain exposure to both technical and business-facing work.
• Contribute to building reliable reporting, stronger data practices, and more informed decision-making across the organization.
• Grow your experience in data analysis, visualization, process improvement, and stakeholder communication.

Benefits & Perks

• Opportunity to work on impactful business problems through data analysis and reporting.
• Collaborative environment with exposure to cross-functional stakeholders and business priorities.
• Ongoing professional growth through hands-on work with analytics, dashboards, and business intelligence tools.
• Structured analytical work that supports skill development in data quality, reporting, and insight generation.
• Potential for process improvement and automation work that expands your technical and operational experience.