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.