Data Analyst

1 week ago


Richmond, Virginia, United States HCL Global Systems, Inc. Full time
Data Analyst Role Overview

At HCL Global Systems, Inc., we are seeking a skilled Data Analyst to play a crucial role in the Data Strategy project for establishing an enterprise data solution at Virginia State Police. As a Data Analyst, you will be responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. You will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions.

Key Responsibilities:
Collaborate with internal and external teams to understand data needs and objectives.
Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
Detect, examine, and decode trends or patterns within intricate datasets.
Extract, clean, and transform data from diverse sources for analysis.
Perform data analysis to identify trends, patterns, and anomalies.
Examine data quality, applications, and functions to ensure accurate migration.
Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
Identify, analyze, and interpret trends or patterns in complex data sets.
Generate visualizations and reports for stakeholders and collaborate with the management team to determine and rank the needs of different business units.

Requirements:
Proven experience as a Data Analyst or related role.
Technical expertise regarding data models, database design, data mining, and segmentation techniques.
Strong knowledge of and experience with reporting packages and databases (SQL, etc.).
Proficient in programming languages (Python, R, etc.).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing, and presenting findings.
Capable of critically evaluating data to derive meaningful, actionable insights.
Strong knowledge in Microsoft Office with emphasis on Microsoft Excel.

Education and Experience:
Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).

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