Job Description:

We are seeking a talented and experienced BI Quick-Sight Developer with expertise in data intelligence to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining data visualizations and analytics solutions using Amazon Quick-Sight, and leveraging your data intelligence skills to derive actionable insights from complex datasets.

Responsibilities:

Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand data requirements and develop Quick-Sight dashboards and visualizations that meet business needs.
Design and implement data models, datasets, and data flows within Quick-Sight to support interactive and dynamic visualizations.
Develop and optimize Quick-Sight dashboards and reports to provide actionable insights into key business metrics, trends, and performance indicators.
Utilize Quick-Sight's advanced analytics features, such as ML Insights and ML-powered anomaly detection, to uncover hidden patterns, correlations, and anomalies in data.
Customize and extend Quick-Sight functionality through integration with other AWS services, APIs, and third-party tools to enhance data visualization and analytics capabilities.
Provide technical expertise and guidance on Quick-Sight best practices, performance optimization, and data visualization techniques to project teams and stakeholders.
Collaborate with data engineers to ensure data quality, integrity, and security within Quick-Sight dashboards and datasets.
Stay current with emerging trends, technologies, and best practices in data visualization, analytics, and data intelligence, and apply this knowledge to enhance Quick-Sight solutions.

Requirements:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree preferred.
Proven experience as a Quick-Sight Developer, Business Intelligence Developer, or similar role, with expertise in designing and developing data visualizations and analytics solutions using Amazon Quick-Sight.
5 years equivalent experience in modeling, forecasting, data architecture (Analytics/Business Intelligence preferred)
Strong proficiency in SQL, data modeling, and data visualization concepts, with the ability to translate complex business requirements into intuitive and actionable dashboards.
Experience with data intelligence tools and techniques, such as machine learning, statistical analysis, and predictive modeling, to derive insights and drive business decision-making.
Build out predictive modeling using R and Python that harnesses customer and competitive analysis data to spot emerging trends and areas of opportunity.
Work with Data Engineers and Data Scientists to create necessary queries and ETL pipelines to support dashboarding

Calsoft

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