Since 2001, All Star Directories has been empowering people to advance their careers and improve their lives through education. As an independent marketing and technology company, we host a network of directories to help thousands of students find the best schools and programs to turn their aspirations into reality. Across our stable of sites, students can discover information on education and careers in the fields of healthcare, business, technology, criminal justice, culinary arts, and more.

But our websites are just a part of what we offer. Leveraging our in-house marketing and analytics teams, we help educational institutions meet their enrollment goals with our data-driven solutions. What's more, beyond the resources on our sites, we take it further in supporting students with the Attain app. With features designed for goal setting, time management, and personal insights, Attain sets students up with the tools they need to achieve academic success.

At All Star, we value excellence, authenticity, and accountability. Our team is made up of hardworking, highly motivated, and collaborative people who strive to stay ahead of industry trends. Here, no task is too big or too small, and each day offers new opportunities for growth.

All of our hard work is rewarded with competitive salaries, incredible benefits, and serious fun. (After all, as an employee-owned company, we care about the people who work here as much as the costumers we serve.) Joining the All Star team means generous PTO, ping pong tournaments, in-office massages, and a fully stocked fridge.

If you're looking to join a company that knows what's important—hard work, innovation, community, and fun—then check out our current openings.

We are looking for a Data Analyst II. The successful candidate will produce financial and market intelligence by analyzing data, design methods for identifying data patterns and trends, and produce up-to-date reports for leadership based on the data.

Specific Duties

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Conduct what if analysis by leveraging Machine Learning techniques
• Forecast KPIs using sophisticated modeling techniques
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Conduct full-lifecycle analysis for data and reports including requirements, design and implementation
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Monitor performance and quality control plans to identify improvements

Desired Skills and Experience

• Master's degree in Data Science or Computer Science, transcripts must reflect:
• Technical expertise regarding data models, database and data warehouse design and development, data mining, and segmentation techniques
• Knowledge of and experience with reporting packages (PowerBI), Analysis platforms (Azure Analysis Services), desktop tools (Excel), databases (SQL Server, MySQL, PostgreSQL, Redshift), programming (ETL frameworks, ML frameworks, Python, C#/.NET), and cloud data systems (Azure Fabric).
• Knowledge of statistics and experience using statistical packages for analyzing datasets
• Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyAbility to use queries, report writing, and presentation through visualization (based on audience)Ability to make audiences of different business and technical levels understand technical concepts
• Track record of planning and executing complex technical projects in a team setting (may be obtained as part of the Master's Degree program)
• Track record of working with cloud infrastructure (may have been obtained as part of university level education)