Our financial services client is looking for a Data Analyst for a 3 month contract role. This role is hybrid in either Vienna, VA or Pensacola, FL.
Responsibilities:
- 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 ppresentations.
- 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.
The target hiring compensation range for this role is $63 to $70 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
