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Good afternoon, !! 

DKMRBH Inc. is currently seeking a Data Analyst for one of our premium clients. If you are interested to know more, please share an updated copy of the resume and best time to connect.

Responsibilities:

• Build and enhance statistical and predictive models for risk-based quantitative analysis.
• Apply 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.
• Develop proofs of concept or demonstrations to evaluate the feasibility of project solutions and recommend visualization strategies.
• Develop communication strategies of concepts and results for multiple levels of management and technical expertise.
• Develop, implement, and maintain analytics systems, simplifying complex problems into manageable frameworks.
• Identify trends and opportunities for growth through the 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 visualization strategies.
• Advanced verbal, written, interpersonal, and presentation skills to communicate technical and non-technical information clearly and concisely 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 principles utilizing Azure DevOps or similar systems.
• Experience working with Cybersecurity Frameworks and related data.

Key Skills to Stand Out:

• Proficiency in statistical modeling and predictive analytics.
• Expertise in data mining techniques and methodologies.
• Advanced knowledge of SQL and Excel, with a strong ability to learn new analytical tools.
• Strong technical writing and communication skills, capable of conveying complex information to both technical and non-technical stakeholders.
• Experience in developing and implementing data visualization strategies.
• Ability to work collaboratively with cross-functional teams.

Skills Matrix