You haven't searched anything yet.
Job Title: Data Analyst
Location: Vienna, Virginia
Responsibility:
Build and enhance statistical and predictive models for risk-based quantitative analysis.
Applies scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data.
Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects.
Develops proofs of concept or demonstrations to evaluate feasibility of project solutions and recommends visualization strategies.
Develop communication strategies of concepts and results for multiple levels of management and technical expertise.
Develop, implement, and maintain analytics systems, taking complicated problems and building simple frameworks.
Identify trends and opportunities for growth through analysis of complex datasets.
Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets.
Create best-practice reports based on data mining, analysis, and visualization.
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
Perform other duties as assigned.
Qualifications:
Master s degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
Knowledge of mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out complex statistical analysis processes.
Technical writing experience in relevant areas, including queries, reports, and presentations.
Strong SQL and Excel skills, with aptitude for learning other analytics tools.
Strong understanding of database design, data mining, and data modeling concepts.
Proven ability to develop effective data visualizations strategies.
Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired:
Doctorate degree in Computer Science, Mathematics, Physics, Statistics, or related field.
Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis.
Experience working with data visualization applications like PowerBI and Plotly.
Experience working with Agile principals utilizing Azure DevOps or similar systems.
Experience working with Cybersecurity Frameworks and related data.
Full Time
IT Outsourcing & Consulting
$104k-135k (estimate)
07/03/2024
09/02/2024
allwyncorp.com
HERNDON, VA
25 - 50
2003
MADHU GARLANKA
<$5M
IT Outsourcing & Consulting
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.
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.