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Data Analyst
$104k-135k (estimate)
Full Time | IT Outsourcing & Consulting 2 Days Ago
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Allwyn Corporation is Hiring a Data Analyst Near Vienna, VA

Job Details

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$104k-135k (estimate)

POST DATE

07/03/2024

EXPIRATION DATE

09/02/2024

WEBSITE

allwyncorp.com

HEADQUARTERS

HERNDON, VA

SIZE

25 - 50

FOUNDED

2003

CEO

MADHU GARLANKA

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

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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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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.

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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.

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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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