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

3 days ago

Gurgaon, Haryana, India EXL Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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