Adobe analyst / google analytics- US MNC (Analytics)

Aspyra Hr Services

Dadri, Gurugram District, Delhi

Hybrid

INR 2,000,000 - 3,500,000

Full time

14 days+
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Job summary

Aspyra Hr Services in Gurgaon is seeking an experienced Data Analytics professional to extract and analyze data from Hive/SQL and to build dashboards for banking performance and customer behavior.

You will collaborate with cross-functional teams to define KPIs and deliver visualizations that drive business decisions. 3-8 years' experience, Tableau proficiency, and strong SQL required, notice period to be discussed.

Qualifications

  • 3-8 years of data analytics experience in banking or BI.
  • Proficient with Tableau and advanced SQL.
  • Experience with Hadoop ecosystem (Hive) and Spark; Python basics.

Responsibilities

  • Extract, manipulate and analyze large datasets from Hive/SQL/ETL sources.
  • Develop dashboards in Tableau to reveal banking insights.
  • Collaborate with teams to define KPIs and visualizations.

Skills

SQL
Advance SQL
BI tools
ETL

Tools

Tableau
Hive
Spark
Python

Job description

Salary: 20 to 35 LPA

Exp: 5 to 9 years

Location: Gurgaon

Notice: Immediate only..!!


Key Skills: SQL, Advance SQL, BI tools, ETL etc


Roles and Responsibilities

  • Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes.
  • Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior.
  • Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions.

Desired Candidate Profile

  • 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. .
  • Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred.
  • Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.
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