Data Analyst

Role Description

We are seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data to support business decisions. The ideal candidate will work with large datasets, identify trends, create reports and dashboards, and provide actionable insights to improve operational efficiency and business performance. The candidate should be comfortable working with cross-functional teams and communicating technical findings to both technical and non-technical stakeholders.

Key Responsibilities

Collect, clean, validate, and analyze data from multiple sources.

Develop reports, dashboards, and visualizations to support business decision-making.

Identify trends, patterns, and opportunities through data analysis.

Write and optimize SQL queries to extract and manipulate data.

Collaborate with business stakeholders to understand reporting requirements.

Ensure data accuracy, integrity, and consistency across systems.

Present findings and recommendations in a clear and concise manner.

Assist in developing and maintaining data models and documentation.

Support process improvement initiatives using data-driven insights.

Stay current with industry best practices in data analytics and business intelligence.

Required Qualifications

Master's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.

Strong analytical and problem-solving skills.

Proficiency in SQL for data extraction and analysis.

Experience with Microsoft Excel and data visualization tools such as Power BI or Tableau.

Knowledge of Python or R for data analysis is preferred.

Understanding of statistical analysis and data modeling concepts.

Excellent written and verbal communication skills.

Ability to manage multiple tasks and meet deadlines.

Must be willing to relocate based on business requirements.

Must be legally authorized to work in the United States (if applicable).

Preferred Qualifications

Experience working with relational databases and cloud-based data platforms.

Familiarity with ETL processes and data warehousing concepts.

Knowledge of machine learning fundamentals is a plus.

Experience in creating executive-level reports and dashboards.

Skills

SQL

Python (preferred)

Microsoft Excel

Power BI / Tableau

Data Visualization

Statistical Analysis

Data Cleaning and Transformation

Critical Thinking

Communication and Presentation Skills

Attention to Detail