Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

Job Title: Senior Data Analyst / Data Analytics Specialist

Location: EXL Services

Experience Level: 4+ Years

Industry: Banking / Financial Services

Department: Data Management

Job Overview

We are seeking a highly skilled and experienced Data Analyst/Data Analytics Specialist to join our company. This role is ideal for someone with a strong background in Python, PySpark, SQL, Tableau, and advanced data analytics, including experience with classification and regression algorithms. The ideal candidate will have a solid understanding of the banking domain mainly Home Equity, be an excellent communicator, and possess a passion for transforming data into actionable insights.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark and SQL.
• Perform in-depth data analysis to identify trends, patterns, and insights that support business decision-making.
• Develop classification and regression models for predictive analytics projects.
• Create interactive and insightful dashboards and reports using Tableau.
• Work closely with in the team, including business stakeholders, product owners, to gather requirements and deliver data-driven solutions.
• Validate data for accuracy, completeness, and reliability.
• Interpret business needs and translate them into analytic solutions and actionable outcomes.
• Present complex findings and insights to both technical and non-technical audiences clearly and effectively.
• Contribute to continuous improvement of data practices, processes, and documentation.
  
  

Qualifications

• Bachelor's or Master’s degree in computer science, Data Science, Statistics, or a related field.
• 4+ years of proven experience in a data analyst or similar data analytics role.
• Strong hands-on experience with: - Python (including relevant data libraries such as pandas, NumPy, scikit-learn)
• PySpark for distributed data processing
• SQL for querying and managing large datasets
• Tableau for dashboarding and visualization
• Solid understanding and experience with machine learning techniques, especially classification and regression algorithms.
• Prior experience or knowledge in the banking or financial services domain is highly preferred. Home Equity Banking knowledge is mostly preferred.
• Excellent verbal and written communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.