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iCubes

Compare

4.1

based on 2 Reviews

1 iCubes Data Analyst Job

Data Analyst

iCubes.org

4.1

based on 2 Reviews

1-4 years

Udaipur

1 vacancy

Data Analyst

iCubes

posted 3mon ago

Job Role Insights

Key skills for the job

Computer Science Data Analysis Data Analytics SQL Operations Analytical Chemistry

+ 4 more

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join us.

The ideal candidate will play a key role in transforming data into actionable insights that will drive our business strategies and improve operational efficiency.

Responsibilities

Assist in the design and implementation of data collection processes.
Extracting data from primary and secondary sources and removing corrupted data.
Automate data extraction and transformation processes to streamline data workflows and ensure data accuracy.
Create and design interactive and insightful data visualizations and dashboards to communicate findings and drive decision-making.
Collaborate with stakeholders to understand their requirements and translate them into actionable analytics solutions.
Ensuring that the data is accurate and high-quality
Perform exploratory data analysis to identify trends, patterns, and insights.
Perform statistical analysis and modelling to support the business decision-making process.
Provide recommendations based on data analysis to enhance business strategies.
Stay abreast of the latest technologies and best practices in data analysis to ensure that our analytics capabilities remain competitive.

Requirements:

Having good work experience as a Data Analyst.
Ability to work independently as well as collaboratively in a fast-paced team environment.
Bachelor s degree in Data Science, Statistics, Computer Science, or a related field.
Excellent problem-solving skills and attention to detail.
Experience working with large datasets and database systems.
Experience with Excel (advanced level), including pivot tables and complex formulas.
Proficiency in data analysis tools such as SQL, Python, or R and data visualization tools (e.g., Tableau, Power BI, Looker Studio etc).
Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery) is an advantage.
Strong understanding of statistical methods and data modelling techniques.
Proficiency in data mining techniques, statistical analysis, and data visualization to help us leverage our data assets effectively.