Data Analyst

Job Description

Job Description

We are looking for a skilled Data Analyst to join our team in Dallas, Texas. In this role, you will be responsible for transforming complex datasets into actionable insights, enabling data-driven decisions across various business units. The ideal candidate will have a strong analytical mindset and a passion for improving data processes and methodologies.

Responsibilities :

• Analyze large datasets to uncover trends, patterns, and valuable insights that inform business strategies.
• Develop and maintain dashboards, reports, and visualizations to support decision-making processes.
• Enhance data processes and methodologies to improve efficiency and ensure accuracy.
• Conduct ad-hoc analyses to support diverse business initiatives and projects.
• Document data processes and methodologies to facilitate knowledge sharing and continuity.
• Perform advanced statistical analyses and predictive modeling to identify opportunities and trends.
• Create tools and frameworks to improve data accessibility and usability for stakeholders.
• Integrate data from internal and external sources to ensure seamless data flow and consistency.
• Collaborate with teams such as operations, finance, and accounting to understand data needs and deliver tailored solutions.
• Implement data quality measures, including validation and cleansing procedures, to maintain integrity.
• Proven experience in data analysis, visualization, and reporting using tools like Power BI and Alteryx.
• Strong statistical and analytical skills, with proficiency in predictive modeling techniques.
• Familiarity with integrating data from various sources and maintaining seamless data flow.
• Ability to design and implement efficient data models and queries for reporting purposes.
• Knowledge of data validation and cleansing procedures to ensure high-quality datasets.
• Excellent collaboration skills to work effectively with cross-functional teams.
• Strong documentation skills to record processes and share methodologies.
• Prior experience in handling large datasets and conducting ad-hoc analyses.