Data Analyst

Overview

Key Responsibilities

• Collect clean and transform data for analysis.
• Interpret data analyze results and provide ongoing reports.
• Identify patterns trends and correlations in complex data sets.
• Develop and implement databases data collection systems data analytics and other strategies that optimize statistical efficiency and quality.
• Apply statistical and machine learning techniques to derive insights from data.
• Create data visualizations and reports to communicate findings and support decisionmaking.
• Collaborate with crossfunctional teams to understand their data needs and provide relevant insights.
• Conduct thorough data quality assessments and implement data cleansing practices.
• Develop and maintain dashboards and tracking tools.
• Monitor and audit data to ensure accuracy completeness and integrity.
• Stay updated on industry best practices and new technological advancements.
• Contribute to datadriven strategic initiatives and projects.
• Provide adhoc data analysis and reports as needed.
• Assist in datarelated troubleshooting and support.

Required Qualifications

• Bachelors degree in Computer Science Statistics Mathematics Economics or a related field.
• Proven experience working with data analysis and reporting.
• Proficiency in SQL and database management.
• Strong programming skills in languages such as Python R or Java.
• Experience with data visualization tools such as Tableau Power BI or D3.js.
• Ability to conduct statistical analysis and utilize statistical tools.
• Knowledge of data mining techniques and frameworks.
• Experience with machine learning and predictive modeling.
• Understanding of data warehousing concepts and ETL processes.
• Excellent problemsolving and analytical abilities.
• Strong communication and presentation skills.
• Ability to work independently and in a team environment.
• Attention to detail and accuracy in work.
• Familiarity with agile methodologies and project management principles.
• Ability to manage and prioritize multiple projects and deadlines effectively.

sql,python,data visualization,statistical analysis,data mining