Data Analyst

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

Hi ,Our client is looking for a Data Analyst. If you are interested, Please help me with your expected salary range.

Location: Washington DC

Clearance: Active TS/SCI Clearance

Job Classification: Full Time

Required Qualifications

Experience working with large data environments (preference for data environments storing financial transactions or similar data)Expertise in Python, Jupyter Notebook, R, NumPy, Pandas, Scikit LearnExperience with entity resolution of large data setsExperience with data mapping and cleaningAbility to analyze large data sets to identify trendsExperience in research and delivery of analytic conclusions derived from financial data or other large data setsExperience in the application of advanced analytics for financial data analysis (or similar large data set), and the application of quantitative and qualitative analysis techniques and processes (statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, data mining) to dataStrong foundation in statistical methodsExperience in documenting and sharing codeAbility to design and implement models and algorithms

Preferred Qualifications

Understand the specific structure behind data derived from bank wire transfers (includes international formats coming from message systems such as SWIFT, CHIPS, and book transfer systems) and other forms of BSA-derived data such as SARs, CTRs, and 8300sProvide data analysis related to special collections and other BSA (Bank Secrecy Act) derived dataExperience using FinCEN tools, including: BSA Search, Transaction Grid Search (TGS), and FinCEN Enterprise Analytics Environment (FinLAB)