Data Analyst

1 week ago


Mumbai, Maharashtra, India MM Staffing & Career Consultants Full time ₹ 5,00,000 - ₹ 15,00,000 per year


Job Description:
Position : Data Analyst
Location : Mumbai
Experience requirement : 2-4Years
Joining Date : Immediate to 30 days 

Job Description

Responsibilities:

· Utilize SQL, Alteryx, and Tableau/Power BI to extract, transform, and visualize data for analytical purposes.

· Demonstrate intermediate-level proficiency in at least one of the major visualization tools (Tableau/Power BI).

· Apply working knowledge of Apache Hive, Apache Spark, Impala, Presto, and Snowflake for data processing and analysis.

· Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.

· Contribute to the development of financial models, budgeting, and forecasting processes.

· Execute data analytics tasks related to Audit and Risk Management, ensuring compliance with industry standards.

· Stay abreast of emerging technologies and industry trends to enhance technical and functional skills

Technical Skills:

· Proficient in SQL

· Expertise in Alteryx

· Intermediate level proficiency in either Tableau or Power BI

· Working knowledge of Apache Hive, Apache Spark, Impala, Presto, and Snowflake (good to have)

Functional Skills:

Strong finance knowledge, with a preference for experience in Audit, Risk Management, and Financial Modeling (budgeting/forecasting, etc.)

Qualifications:

· Bachelor's degree in a relevant field such as Finance, Business, or Information Technology.

· to 4 years of experience in a similar role, with a focus on data analysis and financial modeling.

· Proficiency in SQL and Alteryx is mandatory.

· Intermediate level proficiency in either Tableau or Power BI.

· Familiarity with Apache Hive, Apache Spark, Impala, Presto, and Snowflake is a plus.

· Strong finance knowledge, particularly in areas of Audit, Risk Management, and Financial Modeling.

· Excellent communication and collaboration skills to work effectively within cross-functional teams.



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