123 Data Analyst Jobs in Richmond, VA
Vaco Technology is Hiring a Data Analyst Near Richmond, VA
Job Details
- Conduct data cleansing from multiple database sources, collaborating with stakeholders to ensure accuracy and consistency. Assist in defining data ownership roles and responsibilities as required.
- Work closely with stakeholders to understand their data needs and provide appropriate solutions.
- Contribute to the definition and organization of company data assets to populate data models effectively. Assist in developing a strategy for the long-term data platform architecture to ensure scalability and efficiency. Document data-related processes thoroughly for transparency and future reference.
- Help define and implement data retention policies and procedures.
- Support database performance by monitoring, evaluating, and suggesting resolution for processing and programming problems.
- Secure database by preparing access and control policies and procedures and implementing disaster recovery procedures.
- Data Analysis: Analyze volumes of data from various systems (external/internal) to identify trends, patterns, and anomalies. Generate actionable insights to improve business processes and decision-making.
- Query Data: Write and optimize complex SQL queries to retrieve, manipulate, and report on data efficiently. Troubleshoot and resolve performance issues related to data retrieval.
- Reporting and Visualization: Create and manage ad-hoc data reports and provide clear and actionable business insights to drive key decisions.
- System Integration: Organize sessions to collaborate with other IT professionals and business units to integrate systems and applications. Ensure seamless data flow and synchronization.
- Data Quality and Governance: Implement and enforce data quality standards and governance practices. Monitor and maintain data accuracy, consistency, and security.
- Documentation and Training: Develop comprehensive documentation for database schemas (using Data Dictionary, ERD/DFD etc.), queries, and data processes. Provide training and support to business user as needed.
- Continuous Improvement: Stay updated on the latest developments in Oracle technologies and ERP systems. Propose and implement enhancements to improve system performance and data management practices.
- Minimum of 5 years of experience in data analysis and development, specifically with Oracle/Sql databases (10 years preferred).
- Proven track record in designing, working, and optimizing database schemas.
- Strong experience with SQL, PL/SQL, and other database tools.
- Proficiency in Oracle/Sql database management and development.
- Experience with data modeling and schema design with Master Data Management (MDM) etc.
- Knowledge of data warehousing and ETL processes.
- Familiarity with reporting tools and data visualization.
- Strong analytical and problem-solving abilities.
- Experience with complex data analysis and reporting.
- Excellent verbal and written communication skills.
- Ability to present complex data findings in a clear and actionable manner to both technical-functional user groups.
- Prefer experience with systems (e.g., Oracle E-Business Suite, SAP, etc.) is highly desirable.
- Knowledge of data privacy regulations and best practices.
- 10 years of experience as a Technical Data Analyst, with a focus on IT development projects.
- Strong understanding of software development methodologies (Agile, Waterfall, etc.).
- Database Querying (SQL, Oracle and/or Crystal).
- Understanding of the systems development lifecycle (SDLC).
- Familiarity with project management concepts and practices.
Job Summary
Full Time
$72k-94k (estimate)
08/17/2024
10/16/2024
vacotechnology.com
Carmel, TN
25 - 50
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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
12/10/2021: Lynchburg, VA
Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
02/10/2022: Temple, TX
Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
12/21/2021: New London, CT
Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
12/24/2021: Alamogordo, NM
Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
03/03/2022: Santa Maria, CA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
02/20/2022: Laramie, WY
Data analysts rely on various tools to collect and make sense of their data.
01/17/2022: Melbourne, FL
Banks and financial firms need data analysts for financial reporting and forecasting.
03/04/2022: Akron, OH
Data analysts often work directly with more senior data team members like data scientists or data engineers.
03/02/2022: Grand Forks, ND
Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.
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