150 Data Analyst Jobs in Washington, DC
Significance is Hiring a Data Analyst Near Washington, DC
Significance is a woman-owned consulting firm serving the federal government. We are known for building trusted relationships within our teams and with our clients and hiring the highest-level experts who implement innovative solutions. We also like to have fun! Our focus on culture has contributed to Significance being named a Washington Business Journal Best Place to Work each of the last five years.
We are seeking a Data Analyst to support work with the SBA (Small Business Administration) in Washington, DC. This position is contingent upon contract award. Candidates should have a minimum of 5 years of experience with the following:
o Providing advice and performing work on the scope of data analysis, how data should be collected, ETL of data, and analytic software to support engagement objectives, design, data collection and analysis, message development, and report writing.
o Identifying patterns, trends, outliers, and correlations.
o Providing expert support to data scientists and other analysts relating to data analysis and analytics.
o Assisting with the application of advanced analytics to solve problems, assess risk, and predict future behavior.
o Both assisting and independently developing reports, analyses, models, and dashboards to include validation, testing and documentation using tools such as SQL and PowerBI.
o Providing independent validation and verification of SBA analyses, models, and dashboards.
o Assisting and performing data quality reviews and documentation.
o Assisting with review of the data analytic monitoring techniques based on existing federal data sets, focus on providing real time detection of high-risk transaction processing, and provide exception reporting of program quality performance and compliance criteria.
o Identifying and documenting data required from SBA and other data sets to meet quality assurance, compliance, and reporting objectives.
o Reviewing effectiveness of the execution and monitoring of electronic review protocols to include preventive and detective data analytics and exception reporting.
o Translating complex analysis results into a simplified, concise narrative to support decision making.
o Adapting to and prioritizing changing business requirements.
\nRequired Skills
- 5 years of specialized experience which includes developing data sets, complex analysis, automation of analysis, and visualization products; or utilizing programming language tools for data manipulation, analysis, visualization, and reporting.
- Active Public Trust security clearance, or ability to obtain
- Bachelor's or higher degree in Statistics, Computer Science, Data Science, Computer Information Systems, Management Science, or field directly related to the position.
- Experience developing a fraud analytics strategy to address the highest priority fraud risks in the highest risk programs (based on program size ($) and materiality), including a robust data analytics program that focuses on the identification of transactional anomalies that are further investigated by a team of analysts and communicated to the appropriate stakeholder depending on the circumstance and established SBA Fraud Risk Response Policy.
- Identifying and documenting the current systems and processes utilized in program recovery operations.
- Identifying opportunities (systems and/or processes) to maximize agency-wide recovery efforts by conducting data analysis into various recovered sources and delivering a document detailing recommendations/courses of action to maximize recovery effort.
- Providing data literacy training on fraud analytics for SBA staff and executives to assist the agency in building capacity for fraud analytics.
Significance, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, disability, protected veteran status, or any other factor prohibited by applicable law.
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Job Summary
Other
Business Services
$102k-133k (estimate)
03/22/2024
05/21/2024
progea-online.com
Plano, TX
<25
Business Services
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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 IV 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.
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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.
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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.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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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.
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Step 3: View the best colleges and universities for Data Analyst.
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