Remote Sales Ops & Analytics Intern

Our client, a forward‑thinking technology firm, is excited to offer a fully remote internship opportunity for a motivated Junior Data Analyst. This program is designed to provide hands‑on experience in business intelligence and data analytics within a dynamic and supportive environment. As a Junior Data Analyst, you will assist in collecting, cleaning, analyzing, and visualizing data to support strategic decision‑making across various departments.

This is an ideal role for individuals eager to build a foundational career in data science and analytics.

• Assist in gathering data from various sources, ensuring data integrity and accuracy.
• Perform data cleaning and transformation tasks to prepare datasets for analysis.
• Conduct basic data analysis to identify trends, patterns, and insights.
• Create reports and dashboards using BI tools to visualize data effectively.
• Support senior analysts in developing data models and performing statistical analysis.
• Collaborate with team members to understand business requirements and translate them into data insights.
• Document data processes and analytical methodologies.
• Assist in the maintenance and improvement of existing BI solutions.
• Learn and apply new data analysis techniques and tools.
• Contribute to a positive and collaborative remote team environment.

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with data manipulation tools such as Excel, SQL, or Python (Pandas).
• Exposure to data visualization tools like Tableau, Power BI, or similar is a plus.
• Strong attention to detail and commitment to data accuracy.
• Excellent analytical and problem‑solving skills.
• Good communication and interpersonal skills, with the ability to work effectively in a remote setting.
• Eagerness to learn and a proactive attitude towards new challenges.
• Ability to work independently and manage time effectively.

This is a fully remote internship, offering an excellent opportunity to gain practical experience in the field of data analysis without geographical constraints. Our client is committed to fostering talent and providing a valuable learning experience.

Our client, a rapidly growing Fin Tech disruptor, is looking for a highly skilled and motivated Lead Fin Tech Business Analyst to join their fully remote team. Based out of our virtual presence in Tangerang, Banten, , you will be instrumental in bridging the gap between business needs and technical solutions within the financial services sector. You will lead requirements gathering, process mapping, and solution design for new product development and system enhancements.

Your responsibilities include analyzing complex financial data, identifying opportunities for process improvement, and translating business requirements into detailed functional specifications for our development teams.

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data‑gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Having 2-3 years of experience manipulating data sets and building statistical models.
• Having experience using Python for at least 2 years.
• Education background:
  Bachelor's degree, preferably with a Master's degree in Statistics, Mathematics, or another quantitative field.
• Strong problem‑solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Deep knowledge of handling big data.
• Knowledge of various machine learning techniques and their real‑world…