Data Analyst(US Banking)(Python,SQL,Tableau)

Skills:
Data Analysis, Python, SQL, Tableau, PowerBI, Statistical Analysis, Data Visualization, Financial Analysis,

Role- Data Analyst (Consultant/Manager)

Location- Noida/Bangalore/Hyderabad/Chennai

Mode- Hybrid

Experience- 4 to 9 years

Requirements

4-10 years of experience in a similar analytics role, with a proven track record of delivering impactful insights.

Proficiency in SQL, Python, PySpark for data querying, manipulation, and analysis.

Expertise in data visualization tools, particularly Tableau/Power BI, to create interactive and insightful dashboards.

Proficiency in Python for data analysis, scripting, and automation.

2+ years of experience in Banking & Payments

Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders

Responsibilities

Job Description

Utilize advanced analytics techniques to extract meaningful insights from large datasets. Develop and maintain robust data pipelines for efficient data extraction, transformation, and loading (ETL) processes

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions

Design and implement data visualizations using Tableau to effectively communicate insights to stakeholders

Perform data analysis to identify trends, patterns, and opportunities for process optimization and business improvement

Develop predictive models and machine learning algorithms to solve complex business problems. Conduct ad-hoc analyses to support various business initiatives and decision-making processes.

Stay updated on industry trends and best practices in analytics and big data technologies