66 Sales Data jobs in Indonesia
Senior Solution Sales Executive - Business Data Cloud

Posted 4 days ago
Job Viewed
Job Description
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
**What You'll Do**
As the Senior Solution Sales Executive BDC , your primary objective will be to achieve your overall revenue goals by creating a robust territory business plan generating at least 4x your quota in pipeline opportunities. Key responsibilities include:
+ Revenue Generation: Identify and qualify opportunities while developing and executing strategies to drive sales success.
+ Territory Development: Create an opportunity plan that effectively communicates the value proposition of SAP's targeted line of business solutions to potential customers and prospects.
+ Collaboration: Work closely with the Sales Manager and team to implement programs that enhance pipeline growth and facilitate deal closure.
+
Graduate Trainee - Data Analytics
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform data analysis using statistical methods and tools.
- Identify trends, patterns, and anomalies in data sets.
- Create visualizations and reports to communicate findings.
- Support senior analysts in data-driven projects.
- Learn and apply various data analytics techniques and software.
- Contribute to the development of data models and dashboards.
- Participate in training sessions and team meetings remotely.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Familiarity with data analysis tools and programming languages (e.g., Python, R, SQL) is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good communication and presentation skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and develop new skills in data analytics.
Graduate Trainee - Data Analytics
Posted today
Job Viewed
Job Description
Apprenticeship in Data Analytics
Posted 1 day ago
Job Viewed
Job Description
Graduate Trainee - Data Analytics
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources for analysis.
- Support the development and execution of data models and analytical processes.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
- Utilize data visualization tools to create reports, dashboards, and presentations that effectively communicate findings to stakeholders.
- Collaborate with senior team members to understand project objectives and analytical requirements.
- Learn and apply statistical methods and machine learning techniques to solve business problems.
- Participate in team meetings and contribute to discussions on data strategy and analysis.
- Document analytical processes, methodologies, and results clearly and concisely.
- Gain proficiency in data analytics tools and programming languages such as Python, R, SQL, and Tableau.
- Identify opportunities for process improvement and efficiency within data analysis workflows.
- Stay updated on emerging trends and technologies in the field of data analytics.
The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline. A strong understanding of fundamental data analysis concepts and principles is required. Proficiency in at least one programming language commonly used in data science (e.g., Python, R) and experience with SQL are highly desirable. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent analytical, problem-solving, and critical-thinking skills are essential. Strong communication and teamwork abilities are crucial. The ability to learn quickly, adapt to new technologies, and work effectively in a hybrid work environment is paramount. A keen interest in turning data into actionable insights is a must.
This program is designed to provide a comprehensive learning experience and a potential pathway to a full-time role. If you are a motivated graduate eager to launch your career in data analytics, we encourage you to apply.
Graduate Trainee - Data Analytics
Posted 3 days ago
Job Viewed
Job Description
Program Highlights:
- Gain practical experience in data cleaning, transformation, and preparation.
- Learn to apply statistical methods and machine learning techniques for data analysis.
- Develop proficiency in data visualization tools (e.g., Tableau, Power BI) and languages (e.g., Python, R).
- Assist in generating reports and dashboards to communicate key findings.
- Collaborate with business units to understand data needs and provide analytical support.
- Participate in training sessions and workshops to enhance technical and soft skills.
- Work on challenging projects that have a direct impact on business decisions.
- Receive mentorship from experienced data scientists and analysts.
- Understand data governance principles and best practices.
- Contribute to the development of data-driven strategies.
- Learn to identify trends, patterns, and anomalies in large datasets.
- Assist in A/B testing and experiment design.
- Support the maintenance and improvement of data pipelines.
- Develop presentation skills for sharing insights with various stakeholders.
- Engage in a collaborative and supportive team environment.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with data analysis tools and programming languages such as SQL, Python (Pandas, NumPy), or R.
- Basic understanding of statistical concepts and data visualization techniques.
- Eagerness to learn and adapt to new technologies.
- Good communication and interpersonal skills.
- Ability to work effectively both independently and as part of a team.
- Proactive attitude and a strong desire to contribute.
- Understanding of business operations is a plus.
- Experience with any BI tools is an advantage.
Graduate Trainee - Data Analytics
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform data analysis using statistical methods and tools to identify trends, patterns, and anomalies.
- Develop and generate reports and visualizations to communicate data insights clearly and concisely.
- Support senior team members in building predictive models and conducting ad-hoc data analysis.
- Learn and apply various data analysis techniques and software, including SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI).
- Collaborate with cross-functional teams to understand data requirements and provide analytical support for their initiatives.
- Contribute to the documentation of data processes, methodologies, and findings.
- Participate in training sessions, workshops, and team meetings to enhance technical and soft skills.
- Assist in the development and maintenance of databases and data warehouses.
- Identify opportunities for process improvements in data collection and analysis.
- Stay updated with the latest trends and technologies in data analytics and business intelligence.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with programming languages commonly used in data analysis, such as SQL, Python, or R.
- Enthusiasm for learning and a proactive approach to acquiring new skills.
- Excellent communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
- Ability to work independently and manage time effectively in a remote setting.
- Proficiency in Microsoft Office Suite (Excel, PowerPoint).
- Previous internship or project experience in data analysis is a plus.
- Strong desire to build a career in data analytics.
Be The First To Know
About the latest Sales data Jobs in Indonesia !
Graduate Trainee - Data Analytics
Posted 5 days ago
Job Viewed
Job Description
- Learning to clean, transform, and prepare large datasets for analysis using tools like SQL, Python, or R.
- Developing data visualization skills using tools such as Tableau, Power BI, or Matplotlib.
- Assisting senior analysts in performing statistical analysis and identifying trends and patterns.
- Gaining exposure to machine learning concepts and applying them to predictive modeling.
- Participating in team projects, contributing to data-driven decision-making processes.
- Collaborating with different departments to understand business needs and translate them into analytical tasks.
- Learning to interpret results and communicate findings effectively to both technical and non-technical audiences.
- Developing an understanding of data governance and best practices.
- Receiving mentorship from experienced data professionals.
- Completing assigned projects and presenting outcomes to management.
- Actively participating in training sessions and workshops to enhance technical and soft skills.
- Contributing to the continuous improvement of data analytics processes.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language (e.g., Python, R) is highly preferred.
- Familiarity with database concepts and SQL.
- Enthusiasm for learning new technologies and methodologies in data analytics.
- Excellent communication and interpersonal skills, with the ability to work collaboratively in a remote team environment.
- Self-motivated, proactive, and able to manage time effectively to meet project deadlines.
- A keen interest in uncovering insights from data and driving business value.
This is a fantastic pathway for ambitious graduates looking to build a solid foundation in data analytics within a supportive, fully remote environment. Join our client and kickstart your data career with impactful projects.
Graduate Trainee - Data Analytics
Posted 5 days ago
Job Viewed
Job Description
Graduate Trainee - Data Analytics
Posted 6 days ago
Job Viewed
Job Description
The program is designed to provide a strong foundation in data analytics methodologies, statistical analysis, and data visualization. You will gain hands-on experience with programming languages such as Python or R, SQL for database management, and business intelligence tools like Tableau or Power BI. We are looking for individuals with a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail. A degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline is required. While prior experience is not mandatory, a portfolio of personal projects or academic work demonstrating your analytical capabilities will be a plus.
This role is entirely remote, requiring self-discipline, excellent time management, and effective communication skills to collaborate within a distributed team. You will need a stable internet connection and a suitable home office setup. We foster a collaborative and inclusive remote culture where learning and growth are prioritized. You will have the opportunity to present your findings and contribute to strategic discussions. This is a fantastic chance to develop valuable skills and gain industry experience without geographical constraints. If you are a motivated and data-driven graduate looking to start your career remotely, we highly encourage you to apply and become part of our forward-thinking team.