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Data Analyst jobs in Vadodara, Gujarat

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    • Present data findings clearly to the team.
    • Extract data from various websites using web scraping tools.
    • We are looking for a Data Analyst with 2–3 years of…
    • View all Cloudester Software LLP jobs - Vadodara, Gujarat jobs
    • Salary Search: Data Analyst salaries in Vadodara, Gujarat
    • Experience in data-driven problem solving.
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    • Company offers a comprehensive range of services, including ERP, CRM, BI, and Cloud solutions.
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    • Strong analytical skills with the ability to identify trends and improvement opportunities from incident data.
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    • Knowledge of ERP systems, Power BI, SQL, data visualization…
    • Review and validate financial data files received from analysts before migration into ERP systems.
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    • Support governance of quality-related digital systems to ensure data integrity and process compliance.
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    • Data Analysis: Analyze data to identify trends, opportunities, and business insights that drive decision-making.
    • 5+ years of experience in a data analyst, business analyst, or product analyst role.
    • Drives their own agenda based on what the data is surfacing.
    • Turns data insights into products with actionable outcomes to the ultimate customer.
    • Responsible for innovation and end-to-end launch of solutions and products.
    • Ensure confidentiality of company data.
    • Maintain accurate records and ensure data consistency.
    • Verify and clean data received from various departments.

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Job Post Details

Data Analyst - job post

Cloudester Software LLP
Vadodara, Gujarat

Location

Vadodara, Gujarat

Full job description

We are looking for a Data Analyst with 2–3 years of experience for a 3-month contract. You will be responsible for extracting web data, organizing it in Excel, and communicating findings clearly to our team.

Role Details
  • Duration: 3 Months
  • Experience Required: 2–3 years
  • Location: Vadodara


Key Responsibilities
  • Extract data from various websites using web scraping tools.
  • Clean, organize, and analyze the collected datasets.
  • Write database queries to pull and manage information.
  • Present data findings clearly to the team.
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