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CC Staffing International Hiring For Junior Data Analyst at Bengaluru , Bangalore

Remote, USA Full-time Posted 2025-05-22

Job Description

Title: Junior Data Analyst
Experience: 4 to 6 Years
Job Type: Full Time
Employment Type: Permanent
Job Status: Hot
Country: India
City: Work from Home
Job Description & Role:

Support the growth of our company in building up the Data Mining and Data Warehousing services.
Support numerous global companies with data mining and reporting of their location and systems portfolio.
Master the clients data portfolio and sources and identify any gaps and surpluses.
Identify unusual patterns which may illustrate cost savings or operational efficiencies for the owner.
Recommend additional measurement opportunities which could bring value added information for the client.
Map and trace data from multiple systems to solve specific business problems.
Write SQL queries to extract data from the data warehouse and to identify the answers to complex business issues.
Provide guidance for design and maintaining data systems and databases.
Recommend additional reporting which will illustrate the valuable trends and patterns in the clients business.
Identify, evaluate and implement external services and tools to support data validation and cleansing.
Monitor and audit data quality.
Gather, understand and document detailed business requirements using appropriate tools and techniques.

Key Skills:
• Communication
• Data Warehousing
• Data Mining
• Statistical Data Analysis
• PHP
• Analytical Skills
• Presentation Skills
• SPSS
• Information Technology

Additional Requirements:

IT experience with at least 2 years as Data Analyst.
University degree in IT or related.
Excellent communications and presentation skills.
Strong command of English.
Familiarity with PHP and other programming languages and databases.
The ability to analyze, model and interpret data.
The ability to plan work and meet deadlines.
Accuracy and attention to detail.
Expert SQL query building capabilities.
Expert at data modelling, data cleansing, and data enrichment techniques.
Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing.
Teamworking skills.
Problem-solving skills.
Excellent numerical and analytical skills.
Reporting and data visualization skills.

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