16 Technical Analysis jobs in Indonesia
Graduate Trainee - Data Analysis
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Graduate Trainee - Data Analysis
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Key responsibilities and learning opportunities include:
- Assisting in the collection, cleaning, and processing of large datasets from various sources.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Developing and generating reports, dashboards, and visualizations to communicate findings effectively.
- Supporting the design and implementation of data models and analytical frameworks.
- Collaborating with cross-functional teams to understand business requirements and translate them into analytical tasks.
- Learning and applying statistical methods and data mining techniques.
- Contributing to the development of predictive models and forecasting tools.
- Participating in data quality assurance processes to ensure accuracy and reliability.
- Assisting in the documentation of data sources, methodologies, and results.
- Gaining exposure to various data analysis tools and software (e.g., SQL, Python/R, BI tools).
- Attending training sessions and workshops to enhance analytical and technical skills.
- Presenting findings and insights to team members and management.
- Contributing to a culture of data-driven decision-making within the organization.
- Learning about business operations and how data analysis impacts strategic goals.
- Undertaking assigned projects to gain practical experience in real-world scenarios.
Remote Junior Graduate - Data Analysis
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As a Remote Junior Graduate, your responsibilities will include supporting senior analysts in data extraction from various sources, performing data cleaning and transformation to ensure accuracy and completeness, and conducting preliminary data analysis using statistical methods. You will also assist in creating data visualizations and reports to communicate findings effectively to stakeholders. This role requires proficiency with data analysis tools such as Excel and an eagerness to learn programming languages like Python or R, as well as SQL for data querying. Excellent communication skills are essential for collaborating with team members virtually and understanding project requirements. You will work closely with a mentor who will guide you through projects and professional development. The ability to manage your time effectively and maintain productivity in a remote setting is crucial for success.
Key Responsibilities:
- Assist in data collection from various sources.
- Perform data cleaning, validation, and transformation.
- Conduct preliminary data analysis using statistical techniques.
- Create data visualizations and charts to represent findings.
- Assist in the preparation of reports and presentations.
- Support senior analysts on ongoing data projects.
- Learn and apply new data analysis tools and techniques.
- Maintain data integrity and accuracy.
- Collaborate with team members on data-related tasks.
- Document data processes and methodologies.
- Help identify trends and patterns in datasets.
- Contribute to a positive and collaborative remote team environment.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Eagerness to learn programming languages (Python, R) and SQL.
- Excellent written and verbal communication skills for remote interaction.
- Ability to work independently and manage tasks effectively in a remote setting.
- Detail-oriented and organized.
- A proactive approach to learning and development.
Remote Graduate Trainee - Data Analysis
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Program Overview:
- Gain comprehensive training in data analysis techniques, statistical modeling, and visualization tools.
- Work on real-world projects, analyzing complex datasets to extract meaningful insights.
- Learn to use data analysis software such as Python (Pandas, NumPy), R, SQL, and BI tools (Tableau, Power BI).
- Develop skills in data cleaning, transformation, and preparation.
- Collaborate with experienced data scientists and analysts on data-driven solutions.
- Contribute to the development of reports and dashboards to communicate findings to stakeholders.
- Participate in regular feedback sessions and performance reviews.
- Develop problem-solving skills and a strong analytical mindset.
- Understand business objectives and how data analysis can support strategic decisions.
- Explore different areas of data analysis within the company.
- Build a professional network and gain exposure to industry best practices.
- Receive mentorship from senior team members throughout the program.
- Gain practical experience in presenting data findings.
- 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.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL) is highly desirable.
- Excellent communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Proactive attitude and a keen interest in data and analytics.
- Team player with good interpersonal skills.
- Access to a reliable internet connection and a suitable remote workspace.
Junior Graduate Trainee - Data Analysis
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Remote Graduate Trainee - Data Analysis
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Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement data visualization techniques to effectively communicate findings.
- Support senior analysts in building and testing predictive models.
- Conduct market research and gather data to inform business strategies.
- Learn and apply statistical methods and data mining techniques.
- Contribute to the creation of reports and presentations summarizing data insights.
- Participate in team meetings and contribute to discussions on data-driven solutions.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Develop proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.
- Assist in maintaining data quality and integrity.
- Undertake assigned learning modules and training sessions to build analytical capabilities.
- Work on ad-hoc data analysis requests as needed.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable.
- Basic understanding of statistical concepts and data visualization principles.
- Excellent communication and interpersonal skills, with the ability to articulate complex information clearly.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and a passion for data-driven insights.
- Must have a reliable internet connection and a suitable remote work setup.
Remote Pharmaceutical Research Associate (Data Analysis)
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Remote Automotive Performance Engineer - Data Analysis
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Senior Reservoir Engineer - Offshore Exploration - Remote Data Analysis
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Responsibilities:
- Conduct reservoir characterization and build static and dynamic reservoir models.
- Perform reservoir simulation studies to forecast production and optimize recovery.
- Analyze production data and well performance to identify potential issues and opportunities.
- Develop and evaluate Enhanced Oil Recovery (EOR) strategies.
- Conduct economic evaluations and risk assessments for reservoir development projects.
- Prepare technical reports, presentations, and recommendations for management.
- Collaborate with geoscientists, production engineers, and drilling teams.
- Identify and quantify reservoir uncertainties.
- Stay abreast of new technologies and methodologies in reservoir engineering.
- Contribute to the development of field development plans.
- Master's or Ph.D. in Petroleum Engineering, Reservoir Engineering, or a related field.
- Minimum of 8 years of experience in reservoir engineering, with a focus on exploration and development.
- Proficiency in reservoir simulation software (e.g., ECLIPSE, CMG Suite, Petrel RE).
- Strong understanding of petrophysics, geology, and production engineering.
- Experience with data analysis, statistical methods, and uncertainty quantification.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Experience with offshore reservoirs and production operations is highly desirable.
- Knowledge of unconventional reservoirs is a plus.
Senior Accountant - Financial Reporting & Analysis
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Key Responsibilities:
- Manage the general ledger and ensure accuracy of financial records.
- Prepare monthly, quarterly, and annual financial statements and reports.
- Conduct detailed financial analysis, including variance analysis and trend identification.
- Oversee and participate in the month-end and year-end closing processes.
- Reconcile bank statements and general ledger accounts.
- Ensure compliance with accounting principles, regulations, and internal controls.
- Assist with internal and external audits.
- Develop and maintain financial models to support budgeting and forecasting.
- Identify and implement process improvements in accounting operations.
Qualifications:
- Bachelor's degree in Accounting or Finance.
- Professional accounting certification (e.g., CPA, ACCA) is highly desirable.
- Minimum of 5 years of progressive experience in accounting roles.
- Strong knowledge of accounting principles (GAAP/IFRS).
- Advanced proficiency in accounting software (e.g., QuickBooks, SAP, Oracle) and Microsoft Excel.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong understanding of financial reporting and analysis.
- High level of accuracy and attention to detail.
- Ability to work independently and manage deadlines effectively in a remote setting.