- Expérience
- Jusqu'à 2 ans
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 1 semaine
- Mode de travail
- Travaillez à domicile
- Éducation
- Une maîtrise
- Admissibilité
- Les jeunes diplômés de master et les candidats en début de carrière ayant 0 à 2 ans d'expérience et intéressés par l'analyse de données, l'intelligence d'affaires et la prise de décision fondée sur les données peuvent postuler.
- CV
- Candidature requise
Description de l'emploi
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.