Deskripsi Pekerjaan
Are you ready to transform raw numbers into powerful business strategies? Join 360 Technology Indonesia as a Data Analyst and play a pivotal role in shaping our future. We are looking for a dynamic professional who can bridge the gap between complex data and actionable business insights. In this position, you will dive deep into datasets to uncover hidden trends, develop predictive models, and create intuitive dashboards that visualize key performance indicators (KPIs) for leadership.
Your day-to-day will involve collaborating with product managers, engineers, and marketing teams to define data requirements and solve critical business problems. You will ensure data integrity through rigorous cleaning and validation processes, while presenting your findings in a clear, compelling manner to non-technical audiences. We value curiosity and problem-solving, offering you the chance to work with cutting-edge tools and a team that supports your professional development. If you are eager to leverage your analytical skills in a collaborative and innovative environment, apply today.
Tanggung Jawab
- Analyze complex datasets to identify trends, patterns, and opportunities for business growth.
- Develop and maintain interactive dashboards and reports using tools like Tableau, Power BI, or Looker.
- Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
- Perform data cleaning, validation, and preprocessing to ensure high-quality analysis outputs.
- Conduct statistical analysis to support strategic decision-making and performance forecasting.
- Identify process inefficiencies and recommend data-driven improvements to stakeholders.
- Communicate complex data findings to non-technical audiences clearly and effectively.
Kualifikasi
- Bachelor's degree in Statistics, Mathematics, Computer Science, Information Systems, or a related field.
- Proven experience (1-3 years) as a Data Analyst or in a similar data-driven role.
- Strong proficiency in SQL for database querying and data manipulation.
- Excellent command of Excel and experience with data visualization tools (Tableau, Power BI, or Qlik).
- Experience with programming languages such as Python or R is a strong plus.
- Strong problem-solving skills with a keen attention to detail.
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment.