Blenheim Chalcot Hiring Drive 2024 For Data Analyst | Location Mumbai

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Blenheim Chalcot Hiring Drive 2024: Blenheim Chalcot Hiring Drive 2024 for its Data Analyst. Blenheim Chalcot Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field. if you are interested, please apply as soon as possible.

Company Name: Blenheim Chalcot

Role: Data Analyst

Location: Mumbai

Experience: 1 – 3 years

Qualification: Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.

Batch: Any

Job Type: Full Time

Salary: 5.7 LPA (Expected)

Blenheim Chalcot Hiring Drive 2024

Job Description:

  • Develop and maintain interactive and visually appealing dashboards, reports, and data visualizations using Power BI.
  • Collaborate with stakeholders to understand business requirements and translate them into actionable insights through compelling visualizations.
  • Extract and transform data from various sources to ensure accurate and reliable datasets for visualization.
  • Implement best practices for data visualization and dashboard design to ensure clarity, usability, and accessibility for end-users.
  • Conduct data analysis to identify trends, patterns, and insights that support decision-making processes.
  • Stay updated with the latest features and capabilities of Power BI and other visualization tools to continuously improve and innovate our reporting solutions.
  • Provide training and support to end-users on how to interpret and interact with dashboards and reports effectively.


  • Bachelors degree in Computer Science, Information Systems, Business Analytics, or a related field.
  • Proficiency in Power BI, including the ability to design and develop complex dashboards and reports.
  • Previous experience (2-3 years) in a data analyst role, with a focus on dashboarding and reporting.
  • Strong understanding of data visualization principles, best practices, and design aesthetics.
  • Experience with data manipulation and transformation using SQL or other query languages.
  • Ability to analyze and interpret data to derive actionable insights and recommendations.
  • Excellent communication and presentation skills, with the ability to convey complex information in a clear and concise manner.
  • Strong problem-solving skills and attention to detail, with a focus on delivering high-quality visualizations.
  • Ability to work effectively both independently and as part of a team in a fast-paced environment.
  • Advanced proficiency in Power BI, including DAX (Data Analysis Expressions) and Power Query.
  • Strong understanding of data modeling concepts, such as star schema and dimensional modeling.
  • Experience in designing and implementing interactive and dynamic visualizations.
  • Ability to work with large datasets and optimize performance for efficient visualization.
  • Proficiency in data storytelling, with the ability to communicate complex insights effectively.
  • Knowledge of data governance and security best practices in Power BI.
  • Strong analytical skills with the ability to use statistical tools for data analysis.
  • Experience with any of the cloud platforms like AWS, Azure, or GCP, particularly in data storage and processing.
  • Experience with other data visualization tools such as Tableau, QlikView, or Looker.
  • Knowledge of ETL processes.
  • Certification in Power BI or other relevant data visualization technologies.
  • Previous experience in industries such as finance, healthcare, or retail with a focus on data analytics and visualization.
  • Worked as a data analyst at least for 1-2 years.

Company Overview:

  • Our approach to transforming industries has always been the same.
  • We identify high growth sectors, typically undergoing some market, technology or regulatory discontinuity, and look to build scalable platforms that satisfy a real customer need.
  • We aim to build profitable companies, with sustainable business models.

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