Data Analyst Job at Harvard in Tech USA in Dallas

The Data Analyst will gather, process, and analyze data to help the organization make data-driven decisions. This role involves using statistical techniques, data visualization, and reporting tools to interpret and present data insights that drive business strategies and operational improvements.

• Data Collection & Cleaning: Collect, clean, and validate large sets of data from various sources, ensuring data quality and accuracy.
• Data Analysis: Use statistical techniques to analyze data, identify trends, and generate insights that help improve business processes and decision-making.
• Reporting & Visualization: Create reports, dashboards, and visualizations to present data findings in a clear and understandable format for stakeholders.
• Data Interpretation: Provide actionable insights and recommendations based on data analysis to support key business functions, including marketing, operations, and product development.
• Trend Identification: Monitor and identify key business trends by analyzing historical data and performance metrics, highlighting areas of opportunity or concern.
• Collaboration: Work closely with various departments (e.g., marketing, sales, finance) to understand business needs and provide data-driven insights to inform their strategies.
• Database Management: Assist with managing databases, ensuring data integrity and security, and optimizing queries for efficient data retrieval.
• Reporting Automation: Develop automated data pipelines and reports to improve efficiency and streamline reporting processes.
• Ad-hoc Analysis: Perform ad-hoc analysis as requested by management or other teams to answer specific business questions or solve problems.
• Continuous Improvement: Stay up-to-date with the latest data analysis trends, techniques, and tools, and continuously improve data collection and analysis methods.

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or related field.
• Proven experience as a Data Analyst or similar role.
• Proficiency in data analysis and reporting tools (e.g., Excel, SQL, Python, R, Tableau, Power BI).
• Strong analytical skills and the ability to interpret complex data sets and identify patterns and trends.
• Knowledge of statistical analysis and data visualization techniques.
• Experience with data management and cleaning, ensuring high data quality.
• Strong problem-solving skills and attention to detail.
• Ability to communicate complex data insights in an understandable way for non-technical stakeholders.
• Strong organizational skills and the ability to handle multiple tasks and deadlines.

• Experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud).
• Experience with machine learning techniques and predictive modeling.
• Familiarity with business intelligence tools such as Tableau, Qlik, or Power BI.
• Strong understanding of databases and proficiency in SQL and/or NoSQL databases.
• Knowledge of data privacy regulations and best practices.

• [Health insurance, paid time off, retirement plan, etc.]
• [Any other perks, such as professional development opportunities, wellness programs, etc.]

This template offers a comprehensive view of a Data Analyst’s role, but you can adapt it to reflect the specific needs of your organization and the industry you're in.