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Data Analyst

  • On-site
  • Posted Oct 16, 2026
  • 1 position

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Employment type
Full-time
Experience level
Entry, Junior · 0+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level
Application method
Direct apply is available

Job summary

Collect, clean, validate, and analyze data from multiple sources to identify trends, patterns, and business insights. Create reports and dashboards, track KPIs, and present findings and recommendations to stakeholders.

Job details

Key Responsibilities Collect, clean, validate, and organize data from multiple sources. Analyze large datasets to identify trends, patterns, and business insights. Create reports and interactive dashboards using Power BI or Tableau. Write SQL queries to extract, manipulate, and analyze data. Use Microsoft Excel for data analysis, pivot tables, and reporting. Perform data validation and ensure data accuracy and consistency. Prepare regular and ad hoc reports for management. Collaborate with business stakeholders to understand reporting requirements. Track key performance indicators (KPIs) and prepare performance reports. Present analytical findings and recommendations to stakeholders. Required Skills Strong knowledge of Microsoft Excel. Proficiency in SQL and database concepts. Knowledge of Power BI or Tableau. Basic understanding of statistics and data analysis techniques. Good analytical, problem-solving, and communication skills. Attention to detail and the ability to work with large datasets. Preferred Qualifications Knowledge of Python (Pandas, NumPy) is an advantage. Understanding of data visualization and business intelligence tools. Experience with real-world data analysis projects is beneficial.

What you’ll do

Collect, clean, validate, and analyze data from multiple sources to identify trends, patterns, and business insights. Create reports and dashboards, track KPIs, and present findings and recommendations to stakeholders.

Requirements

Requires strong Microsoft Excel skills, proficiency in SQL and database concepts, and knowledge of Power BI or Tableau. Also requires basic statistical and data analysis knowledge, analytical and communication skills, and attention to detail; Python and experience with real-world analysis projects are advantageous.

Listed skills

  • Microsoft Excel · Preferred
  • SQL · Preferred
  • Power BI · Preferred
  • Tableau · Preferred
  • Data analysis · Preferred
  • Data Validation · Preferred
  • Data visualization · Preferred
  • Communication · Preferred
  • Attention to detail · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Microsoft Excel
  • SQL
  • Database Concepts
  • Power BI
  • Tableau
  • Statistics
  • Data Analysis
  • Data Validation
  • Data Visualization
  • Business Intelligence
  • Analytical Problem-Solving
  • Communication
  • Attention To Detail
  • Python
  • Pandas
  • NumPy

Job areas

  • Data & Analytics
  • Technology

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