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4 Weeks ago

Senior Data Analyst

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Pune, Maharashtra, India
Information Technology
Full-Time
r3 Consultant

Overview

Job Description: Senior Data Analyst

Position Overview

We are seeking a skilled and experienced Senior Data Analyst to join our dynamic team. This

is a hands-on technical role requiring a minimum of 6 years of experience with SQL and

shell scripting. The ideal candidate will work closely with global teams, focusing on

innovation, data quality, and delivering user value through robust data analysis and

reporting.

Key Responsibilities

  • Build, test, and deploy metrics, reports, and interactive dashboards using SQL and

visualization tools.

  • Process and validate data integrity for detailed analysis.
  • Analyze results using statistical techniques and generate ongoing reports.
  • Collaborate with international teams to gather and process data from web crawler

software.

  • Develop and implement data collection systems and analytics strategies for optimal

efficiency.

  • Interpret data trends and patterns in complex datasets to identify actionable insights.
  • Clean and filter data to address inconsistencies or performance issues.
  • Prioritize and manage information needs in coordination with leadership.
  • Lead process improvement initiatives and handle a team of data analysts.

Required Skills & Qualifications

  • Minimum of 6 years of professional experience in data analytics.
  • Proficiency in T-SQL, PostgreSQL, or Oracle SQL.
  • Strong skills in Microsoft Office, particularly Excel and Word.
  • Expertise in shell scripting and report writing.
  • Excellent analytical skills with an emphasis on attention to detail and accuracy.
  • Proven ability to handle high-volume data under tight deadlines.
  • Competence in creating data dashboards, graphs, and visualizations.
  • Strong verbal and written communication skills.
  • Ability to work independently and collaboratively under pressure.

Preferred Skills & Qualifications

  • Familiarity with Python, Shell/Sed/Awk scripting.
  • In-depth knowledge of data processing, transformation methods, and normalization.
  • Robust problem-solving and analytical capabilities.
  • Bachelor's degree in Technology or Master’s degree in Computer Applications.
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