Job summary
Job post source
This job is directly from Academic Analytics
Job overview
The SQL Developer role at Academic Analytics involves designing and optimizing ETL processes to support data-driven insights for the academic research community.
Responsibilities and impact
The SQL Developer will design, develop, and optimize SQL-based ETL pipelines, collaborate with stakeholders to gather requirements, maintain and troubleshoot SQL queries and database processes, ensure data integrity and performance, resolve data issues, document processes, and work with data engineers and analysts to improve data models and reporting.
Experience and skills
The position requires 4+ years of SQL development experience focused on ETL, expert-level SQL skills, understanding of data modeling and relational databases, experience with ETL tools like SSIS or Informatica, familiarity with Microsoft technologies and Azure cloud services, and preferred knowledge of Snowflake and NoSQL/Big Data technologies; a Computer Science degree is preferred and working in EST is required.
Job location and travel
The role requires working in the Eastern Standard Time (EST) zone, but specific location or remote work details are not provided.
Company overview
Academic Analytics is a company that specializes in providing data-driven insights and analytics solutions to higher education institutions. They generate revenue by offering subscription-based access to their comprehensive database, which includes detailed information on faculty research productivity, academic program performance, and institutional benchmarking. Founded in 2005, the company has established itself as a leader in the field of academic analytics, helping universities and colleges enhance their strategic planning and decision-making processes. Their services are designed to support academic leaders in optimizing resource allocation, improving research output, and achieving institutional goals.
How to land this job
Tailor your resume to highlight advanced SQL development skills, emphasizing complex query writing, ETL pipeline design, and performance tuning as these are core to the role at Academic Analytics.
Focus on showcasing experience with ETL tools like SSIS, Informatica, or Talend, as well as familiarity with Microsoft technologies such as .NET, C#, and MS SQL Server, since these are specifically mentioned in the job description.
Apply through multiple platforms including Academic Analytics’ official corporate careers page and LinkedIn to maximize your chances of visibility and consideration for the SQL Developer role.
Connect with current employees in the data engineering or analytics teams at Academic Analytics on LinkedIn; use ice breakers like commenting on recent data initiatives they shared or asking about how they integrate cloud services like Azure in their workflows to start a conversation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'ETL processes,' 'SQL performance tuning,' 'Azure SQL,' and 'data integrity' to ensure your application passes initial automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailoring your resume, identifying multiple application channels, and finding LinkedIn connections to network with, allowing you to focus your energy on preparing for interviews and deepening your technical skills.
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