ICCS Hiring Drive 2024 For Data Analyst | Location Noida

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ICCS Hiring Drive 2024: ICCS Hiring Drive 2024 for its Data Analyst. ICCS Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. if you are interested, please apply as soon as possible.

Company Name: ICCS

Role: Data Analyst

Location: Noida

Experience: 0 – 1 years

Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field.

Batch: Any

Job Type: Full Time

Salary: 50,000 P.A.

ICCS Hiring Drive 2024

Job Description:

  • As an Entry-Level Data Analyst, you will play a key role in extracting, analyzing, and visualizing
  • data to provide actionable insights that support business objectives.
  • You will work closely with
  • cross-functional teams to understand data requirements, develop analytical solutions, and
  • communicate findings effectively.
  • The primary responsibilities of this role include:

Requirements:

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Proficiency in SQL for data extraction and manipulation.
  • Familiarity with data visualization tools, particularly Power BI.
  • Basic programming skills in Python for data analysis and scripting.
  • Excellent communication and interpersonal skills.
  • Ability to work independently as well as collaboratively in a fast-paced environment.
  • Preferred Qualifications: Experience with API integration and data retrieval.
  • Knowledge of statistical analysis and machine learning concepts.
  • Previous internship or coursework in data analysis or business intelligence.
  • Understanding of database concepts and data warehousing principles.

Responsibility:

  • Data Extraction and Transformation: Utilize SQL to extract and manipulate data from various sources, including relationaldatabases and APIs.
  • Cleanse and transform raw data to ensure accuracy and consistency for analysis.
  • Data Analysis and Visualization: Develop interactive dashboards and reports using Power BI to visualize key performance metrics and trends.
  • Perform exploratory data analysis to identify patterns, correlations, and insights.
  • Statistical Analysis and Modeling: Apply basic statistical techniques to analyze data and derive meaningful conclusions.
  • Assist in the development of predictive models using Python libraries such as Pandas,NumPy, and scikit-learn.
  • Collaboration and Communication: Collaborate with stakeholders to understand business requirements and translate them intoanalytical solutions.
  • Present findings and insights to internal teams in a clear and concise manner.
  • Continuous Learning and Development:Stay up-to-date with emerging trends and technologies in data analysis and visualization.
  • Actively participate in training programs and workshops to enhance technical skills and domain knowledge.

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