Summary

The Data Analyst will be responsible for interpreting data, analyzing results using statistical techniques, developing, and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.

Responsibilities

· Collect, clean, and validate data from various sources, ensuring the accuracy, consistency, and reliability of data sets.

· Perform in-depth data analysis using advanced statistical tools and techniques to identify trends, patterns, and correlations in complex data sets.

· Develop and maintain data models, reports, and dashboards, using data visualization tools such as Tableau or Power BI, to effectively communicate insights to stakeholders.

· Collaborate with cross-functional teams to define key performance indicators (KPIs), understand their data needs, and develop data-driven solutions to support decision-making.

· Design and implement data collection systems, strategies, and procedures to improve data quality and efficiency.

· Monitor and maintain data quality and integrity by identifying and addressing inconsistencies and errors in data sets.

· Continuously improve data analysis processes and methodologies to ensure efficiency, effectiveness, and alignment with industry best practices.

· Stay current with industry trends, advancements in data analytics tools and technologies, and emerging data analysis techniques.

· Mentor and provide guidance to entry-level data analysts, assisting them in developing their skills and knowledge.

· Lead and manage data-related projects, ensuring timely delivery and alignment with stakeholder expectations.

Requirements

•Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

· Advanced proficiency in programming languages (e.g., Python, R, SQL) and experience with data analysis tools and libraries (e.g., Excel, Tableau, Power BI).

· Strong knowledge of statistical concepts, data analysis techniques, and machine learning algorithms.

· Excellent analytical and problem-solving skills, with the ability to draw conclusions from complex data sets and provide actionable recommendations.

· Exceptional attention to detail and commitment to data accuracy.

· Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

· Strong organizational and project management skills, with the ability to manage multiple tasks and priorities simultaneously.

· Experience working with database management systems (e.g., SQL Server, MySQL, PostgreSQL) and ETL processes.

· A proactive and curious mindset, with a passion for using data to drive business decisions.