Business Intelligence and Data Analyst II

AAAS has an exciting opportunity for a Part-time BI & Data Analyst II to join our Research & Data Analytics (RDA) team. The BIDA-II will work cooperatively with other team members to manage, analyze, interpret, and report on data to contribute to AAAS’s strategic planning and overall mission.

Responsibilities:

• Manage, analyze, interpret, and report on data to contribute to AAAS’s strategic planning, business goals and overall mission
• Build data pipelines in AWS that support Power BI datasets and reports
• Curate datasets and reports in Power BI (PBI)
• Support business analysts in the development of PBI reports and dashboards
• Document data pipelines
• Participate in efforts to identify and pilot test tools and technology that will advance our data infrastructure and data governance
• Participate in rotating QC and data pipeline breakage duties
• Add data from various sources to the AWS ETL Platform, named the Reporting & Analytics Platform (RAP)
• Write fast and performant database queries using a flavor of SQL Server to pull data into PBI
• Develop fast and efficient .pbix files that produce accurate and reliable data
• Continuously monitor data quality and develop processes to improve accuracy and completeness
• Maintain documentation of data pipelines, datasets and reports
• Plan and implement projects across the lifecycle (conception/initiation, planning, execution, and closeout)
• Create and maintain project plans to ensure timely delivery to internal customers
• Manage resources to ensure projects are completed on time and in budget

Requirements:

• BA/BS with at least two years of experience working with large, complex datasets using SQL and R, or MS degree from an accredited college or university in data science, statistics, social science, business administration, or a mathematical discipline
• Proficient with Excel and slide deck software (e.g., Power Point, Canva, Google Slideshow Maker)
• Proficient with AWS ETL tools (including but not limited to Glue, Lambda, Iceberg, and Athena)
• Proficient with: R, Python, SQL, Pyspark
• Proficient with data visualization software (e.g., Power BI, Tableau, Google Data Studio)
• Familiar with methods for addressing missing data and other data quality concerns
• Familiar with ETL best practices
• Experience with data management, analysis, interpretation; and report writing
• Experience summarizing research methodologies and results of analyses
• Experience developing visually compelling reports and dashboards that reveal key trends in the data
• Knowledge of research design, qualitative, and quantitative research methods