We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. This role is ideal for individuals with 0-2 years of experience in data analysis who are passionate about transforming data into actionable insights. As a Data Analyst at GTS, you will work closely with cross-functional teams to analyze and interpret data, support data-driven decision-making, and contribute to the overall success of our projects.
Key Responsibilities Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
Develop and maintain reports, dashboards, and visualizations to effectively communicate data findings.
Collaborate with project managers, data scientists, and other stakeholders to understand data requirements and deliver actionable insights.
Assist in the design and implementation of data collection and data annotation processes.
Perform data validation and quality assurance to ensure data accuracy and integrity.
Utilize statistical and analytical techniques to solve complex business problems.
Support ad-hoc data analysis requests and provide timely and accurate responses to data inquiries.
Stay up-to-date with industry trends, tools, and best practices in data analysis and data visualization.
Qualifications Bachelor s degree in Data Science, Statistics, Computer Science, Information Technology, or a related field.
0-2 years of experience in data analysis, data visualization, or a related role.
Proficiency in data analysis tools and software such as Excel, SQL, R, Python, or similar.
Experience with data visualization tools such as Tableau, Power BI, or similar.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team in a fast-paced environment.
Familiarity with data annotation and data collection processes is a plus.
Skills Technical Skills:
o Proficiency in SQL for querying databases.
o Experience with data analysis programming languages like Python or R.
o Knowledge of statistical analysis and modeling techniques.
o Ability to use data visualization tools like Tableau, Power BI, or similar.
o Familiarity with data cleaning and data wrangling techniques.
Analytical Skills:
o Strong quantitative and qualitative analytical abilities.
o Capability to identify trends, patterns, and anomalies in data.
o Problem-solving mindset with a focus on practical and scalable solutions.
Communication Skills:
o Excellent written and verbal communication skills.
o Ability to translate complex data findings into understandable insights.
o Experience presenting data and findings to non-technical stakeholders.
Organizational Skills:
o Strong attention to detail and commitment to data accuracy.
o Ability to manage multiple tasks and projects simultaneously.
o Proactive and self-motivated with a strong work ethic.
