Financial Data Analyst
Robert Half Charlotte
We are recruiting for a Data Scientist to join our team in the Financial Services industry, based in Charlotte, North Carolina. As a Data Scientist, you will be responsible for implementing data cleansing and transformation processes, performing exploratory data analysis, and applying machine learning algorithms to develop predictive models.
This role offers a contract to hire employment opportunity.
Responsibilities:
- Required
- Implement data cleansing and transformation processes using SQL, Python, and Alteryx to ensure data quality and readiness for analysis.
- Perform Exploratory Data Analysis (EDA) using Python libraries (Pandas, NumPy, Seaborn) to uncover trends, patterns, and anomalies in data.
- Utilize Python Label Encoder, and OneHotEncoder methods for categorical variable analysis.
- Enhance predictive accuracy by developing and fine-tuning models using Python and Spark.
- Apply machine learning algorithms such as decision trees, SVM, random forest to develop predictive models for various business applications including fraud detection and customer segmentation.
- Analyze massive datasets using artificial intelligence (AI) to provide insights into reducing risks, enhancing decision-making efficiency, and optimizing lending practices.
- Conduct internal audits and data analysis to ensure compliance and efficiency.
- Utilize data visualization techniques to present complex data in a comprehensible manner.
- Leverage extensive knowledge of SQL to answer complex queries and maintain databases.
- Utilize advanced analytics skills to drive data-driven decision making.
- Proficiency in Microsoft SQL and Python programming languages.
- Demonstrated understanding and application of data mining techniques.
- Experience in auditing within the financial services industry.
- Knowledge and practical application of data science concepts.
- Familiarity with Anti Money Laundering (AML) regulations and procedures.
- Ability to analyze complex financial data and draw meaningful conclusions.
- Strong communication skills to effectively relay insights from data analysis.
- Detail-oriented and capable of maintaining high accuracy in work.
- Proven ability to handle sensitive and confidential information.
- Bachelor's degree in Finance, Economics, or a related field.
- Professional certification in data analysis or a related field is preferred.
- Ability to work collaboratively as part of a team.
- Strong problem-solving skills and analytical thinking.
- Flexibility to adapt to changing business needs and deadlines.
RandstadCharlotte
reports that help with AWS/Azure cloud usage, capacity planning, goal tracking, cost analysis, and invoice processing.
Qualifications:
• 5-10 years of experience in data analysis, reporting, or a related field.
• Proficiency in PowerBI and other...
CollaberaCharlotte
Understand the best approach to layer data to achieve the best dashboard performance
• Data Science Background (3-5 years)
• Understand general ETL work
• I.e. overall time involved
• Approaches and technologies
• Experience working with Financial...
RandstadCharlotte
approach to job responsibilities Highly organized with the ability to prioritize work, manage complexity and deliver solutions on deadlines Excellent verbal and written skills Experience in performing data analysis tasks Demonstrated passion...