Data Analyst - CC-25

1 years

4 - 8 Lacs

Posted:4 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Department
Command Centre
Job posted on
Jul 28, 2025
Employee Type
Permanent
Experience range (Years)
1 year - 2 years

Job Description : Data Analyst

Location: Bengaluru

Job Summary:

We are seeking a highly motivated Data Analyst to join our growing team. This role involves analyzing complex datasets, generating actionable insights, and supporting data-driven decision-making across various business functions. You will work closely with cross-functional teams to help optimize performance and improve business outcomes.

Key Responsibilities:

  • Work closely with big data engineering teams on data availability and quality.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Track KPIs and performance metrics to support operational and strategic decision-making.
  • Translate business needs into data analysis problems and deliver clear, actionable insights.
  • Conduct root cause analysis on business challenges using structured data approaches.
  • Communicate data insights effectively through presentations and reports.
  • Identify gaps in data and opportunities for process automation.
  • Develop and maintain documentation of reports, dashboards, and analytics processes.

Qualifications:

  • Bachelor’s degree in engineering, Statistics, Computer Science, Business, Economics, or a related field.
  • 1-2+ years of professional experience in a Data Analyst or Business Analyst role.
  • Proficiency in SQL is mandatory.
  • Experience with Python (Pandas, Numpy)/R for data analysis is mandatory.
  • Strong Excel/Google Sheets skills.
  • Experience with data visualization tools (Tableau, Power BI, Looker, or Superset) is an additionalplus.
  • Basic understanding of statistical methods (descriptive stats, hypothesis testing).
  • Knowledge of PySpark is an additional plus.

Key Skills:

  • Analytical Thinking & Problem-Solving
  • Communication & Presentation Skills
  • Data Storytelling
  • Attention to Detail

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