Data Analyst

1 day ago

Noida, Uttar Pradesh, India CloudKeeper Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

CloudKeeper is a comprehensive cloud cost optimization partner specializing in maximizing the value of AWS and Google Cloud. As a certified AWS Premier Partner and Google Cloud Partner, CloudKeeper has helped over 400 global companies save an average of 20% on their cloud bills while maintaining flexibility and avoiding long-term commitments. Our tailored offerings meet the unique needs of different customer segments and bring highly skilled cloud professionals to support every stage of growth. CloudKeeper provides end-to-end cloud services, covering consulting, advisory, implementation, and ongoing management at no extra cost.

We are seeking a
Data Analyst
to join our dynamic team at
CloudKeeper
, based in
Noida
(full-time, on-site role).

The Data Analyst will play a key role in analyzing and interpreting complex data to support business decisions, create actionable insights, and improve operational efficiency.

Key Responsibilities:

  • Utilize
    Python (Pandas)
    to clean, transform, and analyze data, automate processes, and generate reports.
  • Write and optimize
    advanced SQL queries
    for data extraction, manipulation, and analysis.
  • Develop and maintain
    dashboards and visual reports
    to track key metrics and performance indicators.
  • Identify trends, patterns, and anomalies in large datasets to support strategic business goals.
  • Ensure
    data integrity and accuracy
    through effective validation and quality checks.
  • Collaborate with cross-functional teams to understand data requirements and deliver insights-driven solutions.
  • Support
    data migration, transformation, and ETL processes
    within cloud environments.

Required Skills & Experience:

  • 3–5 years of experience as a
    Data Analyst
    or in a similar analytical role.
  • Strong hands-on experience with
    Python
    , specifically
    Pandas
    for data manipulation and analysis.
  • Expertise in
    analytical SQL
    , including writing complex queries for data extraction, aggregation, and transformation.
  • Knowledge of
    cloud platforms
    , particularly
    AWS (Amazon Web Services)
    .
  • Excellent analytical thinking, problem-solving, and troubleshooting skills.
  • Detail-oriented with a focus on
    data quality and accuracy
    .
  • Strong
    communication skills
    , with the ability to translate complex insights into actionable recommendations.

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