Data Analyst

Role Overview

The Data Analyst will play a key role in transforming business and operational data into meaningful insights that support decision-making, performance tracking, and continuous improvement initiatives. This position focuses on analyzing structured datasets, building reports and dashboards, and ensuring data accuracy to enhance overall operational efficiency.

Key Responsibilities

• Gather and document business requirements related to reporting, analytics, and performance tracking.
• Develop and maintain scalable data models and queries to support both recurring and ad hoc analysis.
• Perform data extraction, cleansing, and analysis using structured data sources (e.g., SQL-based systems).
• Create and manage dashboards and visual reports using business intelligence tools (e.g., Power BI, Tableau) to effectively communicate insights.
• Validate data sources, reporting logic, and outputs to ensure accuracy, completeness, and consistency.
• Identify trends, anomalies, and operational gaps; provide actionable recommendations to stakeholders.
• Support issue resolution through root cause analysis and validation of data-driven solutions.
• Contribute to periodic reporting, including KPIs and performance metrics for leadership review.
• Collaborate with cross-functional teams to translate business needs into analytical solutions.
• Ensure adherence to data governance standards, including proper documentation and handling of sensitive information.
• Perform additional analytical and reporting tasks as required.

Qualifications

Required

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, Business Administration, or a related field.
• Strong analytical thinking and problem-solving skills, with the ability to convert data into actionable insights.
• Advanced SQL skills, including writing complex queries, joins, aggregations, and query optimization.
• Experience working with cloud-based data platforms (e.g., Snowflake or equivalent).
• Hands-on experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Advanced Microsoft Excel skills (e.g., pivot tables, complex formulas, data modeling).
• Strong ability to present insights clearly to both technical and non-technical audiences, including leadership.
• Excellent communication and collaboration skills.
• Strong organizational skills and ability to manage multiple priorities in a dynamic environment.
• High level of reliability and commitment to maintaining data confidentiality.

Preferred

• At least 2 years of experience in data analytics, business intelligence, or a related function.
• Familiarity with data modeling, ETL processes, or analytics engineering concepts.
• Understanding of data governance practices and data quality management frameworks.
• Exposure to programming languages such as Python or R for data analysis.
• Experience working with operational or financial datasets.

Key Competencies

• Strong attention to detail and analytical discipline
• Ability to translate data into meaningful narratives
• Effective stakeholder engagement and collaboration
• Continuous improvement mindset
• Ownership and accountability in delivering results