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A key component of the role is to identify process and system improvement opportunities by developing the right metrics, analyzing data, and partnering with internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. You will also enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.Key job responsibilities
• Creating automated reports and dashboards with a combination of BI tools
• Partnering with program team, Legal, and Tech stakeholders to understand challenges and provide /analysis to help drive program success
• Providing data support for business and cross-functional partners to address escalations and answer questions using SQL and AWS solutions
• Uncovering trends and correlations through mining and analysis to develop insights that can help stakeholders to make effective decisions
• Designing and executing analytical projects using statistical analysis
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 3+ years of business analyst, data analyst or similar role experience
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Experience with SQL
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- 5+ years of business analyst, data analyst or similar role experience
- Master's degree in business or analytical discipline
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Prior experience in analytic modeling and advanced ability to draw insights from analysis supported by data
- Proficiency in 1+ programming language (Python, R, etc.)
- Advanced working knowledge of data mining using, ETL, data warehouse
- Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis)
- Proven analytical problem-solving skills in a complex space, attention to detail, and exceptional communication & organizational skills
- Ability to manage a broad range of tasks and a track record of efficiently meeting deadlines
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