Responsibilities :
- Support the team to create insights, dashboards, and reports that help leadership to make better decisions in the area of design, production and manufacturing.
- Create self-service dashboards using Quicksight and work closely with data engineers on reporting automation
- Use data to create insights to production operation leaders which include detailed business analysis, outlining problems, opportunities and solutions recommendations.
- Write compelling narratives to share data stories to stakeholders and equip them to make informed decisions and future plans.
- Provide data for weekly and monthly business reviews, which includes business process optimization indicators, operation indicators, and production planning recommendations.
- Take a proactive approach to defining new metrics, reports, and dashboards
- Develop self-service dashboards using Quicksight
- Browse available data sources in order to understand the business processes and enhance analytics events logging
- Work closely with the data engineering team to design, execute and maintain reporting modules, lead automation of recurring reports.
The ideal candidate will have :
- years of experience in analyzing and interpreting data with relational databases
- Experience with data visualization using Quicksight
- years experience with writing complex SQL queries
- Experience with data modeling, warehousing and designing ETL pipelines in AWS
Compensation :
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries :
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
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