2 System Data Analyst Jobs in Waterbury, CT

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System Data Analyst

Maganti IT Resources, LLC

Waterbury, CT | Full Time

$103k-130k (estimate)

2 Months Ago

Remote Data Scientist/Analyst (Entry/Junior Level)

SynergisticIT

Waterbury, CT | Contractor

$90k-115k (estimate)

Just Posted

System Data Analyst

$103k-130k (estimate)

Full Time 2 Months Ago

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Maganti IT Resources, LLC is Hiring a System Data Analyst Near Waterbury, CT

Location: Waterbury - USA

Job Type: Full time

Open Date: March 4,2024

End Date: March 19,2024

Maganti IT Resources LLC is seeking one professional for the full-time position of a System Data Analyst.

Job duties

Data Collection and Integration: Gather data from various sources within the organization and external sources, ensuring data integrity and accuracy.
Data Cleansing and Preprocessing: Cleanse, preprocess, and transform raw data to prepare it for analysis, including handling missing values, outliers, and inconsistencies.
Database Management: Maintain and optimize databases, ensuring efficient data storage, retrieval, and organization.
Data Analysis and Interpretation: Analyze data using statistical techniques and data mining algorithms to identify trends, patterns, and insights relevant to business objectives.
Dashboard Development: Design and develop interactive dashboards and reports to visualize key performance indicators (KPIs) and metrics for stakeholders.
Data Modeling and Forecasting: Build predictive models and forecasting algorithms to anticipate future trends and outcomes based on historical data.
Performance Monitoring: Monitor data systems and processes to identify performance issues, bottlenecks, and opportunities for optimization.
Data Governance and Compliance: Ensure compliance with data governance policies, regulations, and best practices to protect data privacy and security.
Stakeholder Communication: Communicate findings, recommendations, and insights to stakeholders through presentations, reports, and data storytelling.
Continuous Improvement: Stay updated on emerging technologies, tools, and techniques in data analysis and contribute to the continuous improvement of data processes and systems.