Korn Ferry has partnered with our client on their search for the role, Data Analytics.
Company Overview:
A prestigious, ground up development company is committed to leveraging data-driven insights to improve decision-making. We are seeking a motivated Junior Data Analytics Analyst to join our growing team. This position offers an excellent opportunity to learn and contribute to our data analytics efforts in a dynamic and collaborative environment.
Position Overview:
As a Junior Data Analytics Analyst, you will be responsible for assisting in the collection, analysis, and interpretation of data to help drive business strategies and initiatives. You will work closely with senior analysts and cross-functional teams to develop reports, dashboards, and insights that inform decision-making processes. This role is ideal for a recent graduate or early-career professional who is passionate about data and eager to develop their analytical skills.
Key Responsibilities:
- Assist in collecting, cleaning, and analyzing data from various sources to generate actionable insights.
- Develop and maintain dashboards and reports that monitor key business metrics and performance indicators.
- Collaborate with senior analysts to support data modeling, statistical analysis, and forecasting efforts.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization.
- Work with stakeholders to understand data requirements and deliver solutions that meet business needs.
- Support data integrity and quality assurance by performing routine data audits and validation checks.
- Contribute to the creation of presentations and visualizations to communicate findings to both technical and non-technical audiences.
- Stay up-to-date with industry trends, tools, and best practices in data analytics.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
- 0-1 years of experience in data analysis, data science, or a related role (internships or academic projects are also considered).
- Proficiency in data analysis tools such as Excel, SQL, and statistical software (e.g., R, Python).
- Basic knowledge of data visualization tools like Tableau, Power BI, or Google Data Studio.
- Strong analytical skills with the ability to interpret and manipulate large datasets.
- Excellent communication skills with the ability to present complex information clearly and concisely.
- Detail-oriented with a strong commitment to accuracy and data integrity.
- Ability to work independently and collaboratively in a team environment.
- Willingness to learn and adapt in a fast-paced environment.
SE# 510682848