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Photon

Data Analyst | Offshore

Posted 3 days ago
2-5 years experience
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AI Summary

The Data Analyst will collect, analyze, and interpret large datasets to support business decision-making through dashboards and reports. They are responsible for defining KPIs, performing data quality checks, and presenting actionable insights to stakeholders.

Job Description – Data Analyst Position Overview

We are looking for a Data Analyst to collect, analyze, and interpret data to support business and operational decision-making. The role involves working with large datasets, developing dashboards and reports, and translating data into actionable insights.

Key Responsibilities
  • Analyze and interpret structured and unstructured data to identify trends, patterns, and business insights.
  • Develop and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools.
  • Write efficient SQL queries for data extraction, transformation, and analysis.
  • Perform data cleansing, validation, reconciliation, and quality checks.
  • Collaborate with business and technical teams to understand requirements and translate them into analytical solutions.
  • Define and track KPIs and metrics to support business performance analysis.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Support data-driven process improvements and ad-hoc analytical requests.
Required Qualifications
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Business Analytics, or a related field.
  • 3+ years of experience in data analysis or business intelligence.
  • Strong proficiency in SQL and data manipulation.
  • Experience with Excel and BI/visualization tools such as Power BI or Tableau.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working with relational databases and large datasets.
Preferred Skills
  • Experience with Python for data analysis and automation.
  • Knowledge of ETL/data pipelines and data warehousing concepts.
  • Familiarity with cloud data platforms such as AWS, Azure, or GCP.
  • Exposure to statistical analysis, forecasting, or machine learning concepts.
  • Experience working in Agile environments.

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