Data Analyst — Financial Analytics (TS/SCI)

Maania; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

Data Analyst position in Washington DC for Maania's client requires extensive experience with large financial data environments. Candidates should be proficient in Python, Jupyter Notebook, R, NumPy, Pandas, and Scikit-Learn, with expertise in entity resolution, data mapping, and advanced analytics.

Active TS/SCI clearance is preferred for this role. Applicants should demonstrate ability to analyze vast datasets, derive trends, and deliver analytic conclusions.

Qualifications

• Experience with large data environments storing financial transactions or similar data.
• Expertise in Python, Jupyter Notebook, R, NumPy, Pandas, Scikit Learn.
• Experience with entity resolution of large data sets.
• Experience with data mapping and cleaning.
• Ability to analyze large data sets to identify trends.
• Experience in research and delivery of analytic conclusions from financial data.
• Experience applying advanced analytics for financial data analysis and quantitative/qualitative methods.
• Strong foundation in statistical methods.
• Experience documenting and sharing code.
• Ability to design and implement models and algorithms.

Skills

Python

Jupyter Notebook

R

NumPy

Pandas

Scikit-Learn

Entity resolution

Data mapping

Data analysis

Statistical methods

Financial data analysis

Data mining

Tools

Jupyter Notebook

Job description

Data Analyst position in Washington DC for Maania's client requires extensive experience with large financial data environments. Candidates should be proficient in Python, Jupyter Notebook, R, NumPy, Pandas, and Scikit-Learn, with expertise in entity resolution, data mapping, and advanced analytics.

Active TS/SCI clearance is preferred for this role. Applicants should demonstrate ability to analyze vast datasets, derive trends, and deliver analytic conclusions.