| Must be Local to Chesterfield, VA Candidates only Data Analyst @ Hybrid // In person interview at Chesterfield, Virginia, USA |
| Email: [email protected] |
| Hi Greetings from Canopy One Solutions, Please go through below requirement if you are comfortable, please share your updated resume to my email id: [email protected] Must be Local to Chesterfield, VA Candidates only Position: Data Analyst Location : 7700 Midlothian Tpke North Chesterfield, VA (Hybrid) In person Interview only Experience: 8+ must NOTE : Need Passport number and LinkedIn ID and please do mention Current Location and Visa of candidate while sending the Profile. a skilled Data Analyst to join our team and play a crucial role in the Data Migration project for the Law Enforcement Administration Management System (LEAMS) with the As a Data Analyst, you will be responsible for assessing complex data systems and programs, supporting ad-hoc and standing management or customer requests related to data migration. Responsibilities: Collaborate with internal teams to understand data needs and objectives. 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. Produce output and sustain operation of data migration processes. Research new data sources and analytical tools for improved migration strategies. Contribute to new product development and enhancements in data delivery and presentation. Interpret data, analyze results using statistical techniques, and provide ongoing reports. Identify, analyze, and interpret trends or patterns in complex data sets. Generate visualizations and reports for stakeholders. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Collaborate with the LEAMS team to perform a proper audit of active files during the migration. Qualifications: 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.) is a plus. 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. 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). Question 2 Please list the candidate's email address. Question 3 Please list the city/state where the candidate is located. Question 4 This position requires ON-SITE interviews and ON-SITE work. If the candidate is not comfortable with this, DO NOT SUBMIT!!! Skill Years Used Last Used Proven experience as a Data Analyst or related role. Required 3 Years Technical expertise regarding data models, database design, data mining, and segmentation techniques. Required 3 Years Strong knowledge of and experience with reporting packages and databases (SQL, etc.). Required 3 Years Proficient in programming languages (Python, R, etc.) is a plus. Required 3 Years Strong analytical skills. Required The ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Required Adept at queries, report writing, and presenting findings Required 3 Years Strong knowledge in Microsoft Office with emphasis on Microsoft Excel. Required 3 Years Ravi Kumar Danda : https://www.linkedin.com/in/ravikumar-danda-89a1a523b/ Email: [email protected] Web:www.canopyone.com -- Keywords: active directory rlang information technology golang California Idaho Virginia Must be Local to Chesterfield, VA Candidates only Data Analyst @ Hybrid // In person interview [email protected] |
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| Tue Apr 09 23:02:00 UTC 2024 |