ജോലി വിവരണം

Role overview

KGS Technology Group, Inc is hiring a Data Analyst for a remote position based in the United States. This is a full-time role suited to candidates with 0 to 2 years of experience. The opportunity is aimed at recent master’s graduates who are enthusiastic about analytics, business intelligence, and turning raw data into practical business recommendations.

What you will do

Gather data from different sources, prepare it for analysis, and work with large datasets.
Create dashboards, reports, and visual summaries that help teams make informed decisions.
Spot patterns, trends, and insights that can drive business action.
Check data for accuracy, validate it, and maintain overall data quality.
Work with stakeholders to understand reporting needs and deliver the right outputs.
Build and update KPIs and performance tracking metrics.
Contribute to business intelligence efforts and other data-led initiatives.
Share findings, insights, and recommendations with leadership in a clear and persuasive way.

What the role calls for

Strong analytical thinking and confident problem-solving skills.
Advanced Excel capability, including Pivot Tables, VLOOKUP/XLOOKUP, and Power Query.
Working knowledge of SQL for extracting and manipulating data.
Hands-on experience with cleaning datasets and validating data integrity.
Ability to interpret statistical results and translate data into business insight.
Skill in building reports and visualizations for different audiences.
Excellent verbal and written communication, including presentation skills.
Careful attention to detail and comfort working with large volumes of information.

Preferred technical background

Knowledge of SQL features such as joins, views, stored procedures, and CTEs.
Experience with Power BI and/or Tableau.
Familiarity with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
Exposure to R programming.
Advanced Excel plus VBA.
Understanding of ETL concepts and data warehousing.
Experience with cloud data platforms such as Snowflake, Amazon Redshift, or BigQuery.
Basic awareness of machine learning concepts.
Exposure to cloud environments like AWS, Azure, or Google Cloud Platform is an added advantage.

Preferred qualification

A master’s degree in Data Analytics, Data Science, Business Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a closely related discipline is preferred.

Data Analyst