Data Analyst

Overview:

We are seeking a skilled Data Analyst with banking experience to analyze large datasets, extract valuable insights, and support data-driven decision-making. The ideal candidate should have strong programming skills, expertise in data visualization, and experience with statistical analysis.

Roles & Responsibilities:

• Analyze and interpret complex data to support business decision-making.
• Develop and maintain automated data pipelines, ensuring efficient data processing.
• Perform data cleaning, wrangling, and transformation to enhance data quality.
• Design and create interactive dashboards and reports using Tableau, Power BI, and Excel.
• Utilize Python, R, and SQL to perform statistical analysis and predictive modeling.
• Manage and maintain databases, ensuring data integrity and security (MySQL, SQL Server).
• Collaborate with cross-functional teams to identify trends and insights from data.
• Implement best practices in data governance and compliance with banking regulations.
• Utilize version control tools such as Git and GitHub for efficient collaboration.
• Present findings and insights to stakeholders through reports and visual presentations.

Skills & Competencies:

Technical Skills:

• Programming Languages: Python, R, SQL, JavaScript
• Data Visualization Tools: Tableau, Power BI, Matplotlib, ggplot2, Seaborn
• Data Analytics & Statistical Tools: NumPy, Pandas, SciPy, Excel (Advanced), Crystal Reports
• Database Management: MySQL, Microsoft SQL Server
• Data Processing & Automation: Automated data pipelines, Data cleaning, Data wrangling
• Development Tools: PyCharm, Jupyter Notebook
• Methodologies: SDLC, Waterfall Methodology
• Version Control: Git, GitHub

Soft Skills:

• Strong problem-solving and analytical skills
• Excellent communication and presentation skills
• Ability to work independently and collaboratively in a team
• Detail-oriented with a proactive approach
• Strong stakeholder management skills

Qualifications:

• Education: Bachelor’s degree in Computer Science, Data Science, Statistics, Finance, or a related field.
• Experience: Minimum 3 years of experience in the banking sector as a Data Analyst.