Data Analyst, data science
Company Description Germanium Technology Limited is a growing technology organization with a focus on data-driven solutions and innovation. Based in Noida Sector 2, the company works with clients across diverse industries to help them leverage data for better decision-making and performance. Germanium Technology Limited values analytical thinking, technical excellence, and continuous learning. Team members collaborate across functions to design and implement practical, scalable solutions. The work environment encourages ownership, integrity, and professional development.
Role Description This is a full-time, on-site Data Analyst (Data Science) role located in Bulandshahr. The role involves collecting, cleaning, and validating data from multiple sources, building analytical models, and performing statistical analysis to support business decisions. The Data Analyst will create dashboards, reports, and visualizations that communicate insights to stakeholders in a clear, actionable way. Responsibilities include collaborating with cross-functional teams to understand requirements, designing data models, and providing recommendations based on trends and patterns. The role also involves documenting methodologies, ensuring data quality, and contributing to continuous improvement of analytics processes.
Qualifications
- Strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and identify trends.
- Solid foundation in Statistics to design experiments, perform hypothesis testing, and validate insights.
- Experience with Data Modeling to structure data for reporting, analysis, and scalable solutions.
- Effective Communication skills to explain technical findings to non-technical stakeholders and collaborate with teams.
- Proficiency with data analysis tools (e.g., Excel, SQL, Python/R) and data visualization platforms (e.g., Power BI, Tableau) is highly beneficial.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
- Attention to detail, problem-solving mindset, and ability to work independently as well as in a team.
- Experience in applied data projects, internships, or relevant industry work is an advantage.