The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

  The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

This individual will be part of VCA’s geographic cluster of Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for leading data science engagements with Visa's clients in Indonesia.

The role reports to Head of Data Science overseeing IPVMC cluster and will be based in Visa’s Jakarta office.

This role combines deep industry knowledge, senior relationship building skills and a solutions-based, consultative selling approach to deliver revenue and sales growth.

Key responsibilities :

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify strategic areas where data science can drive strong business impact, in alignment with organization's goals and priorities

• Act as the market linchpin between our country team and regional data science hub to elevate go-to-market approach for commercializing Visa data solutions

• Develop holistic data science program for driving innovation, accelerate new solution launches for Indonesia clients and create data offerings in alignment with business strategy

• Executive presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for Indonesia client engagements

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets

• Manage Data Warehouse and automation services and fulfill report that need by user
• Work with other divisions and/or service providers to optimize DWH
• Document Project Solution on project Solution Architecture Document
• Follow PM Procedure, Release Management Procedure, Software Development Procedure, Software QA Procedure and Change Management Procedure

• Experience with conducting database development in Banking/financial industry (min 2 years of experience in Banking Industry)
• Knowledge/experience in transaction banking and regulatory reporting business processes and data requirements
• Familiar with Database Structure (SQL Server - SSIS, Oracle)
• Familiar with Programming Languange (.net, C#)
• Familioar with excel macro
• Familiar with Project Management tools such as JIRA and Confluence

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Data Analytics Intern, you will be part of a larger Data Analytics team and work directly with a senior data analyst, to communicate your findings and build strategies around them.

What you will do:

• Provide support to overall Data Analytics team, specifically Growth domain
• Understand business problems from the department, identify and document requirements and data needed to solve them
• Performing daily data operations tasks, such as debugging errors, fixing dashboards & other ad hoc tasks
• Work closely with datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
• Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
• Identify and Automate any repetitive tasks currently performed by team members

What we are looking for:

• Good SQL knowledge - Should possess core skills in querying and processing data
• Demonstrates problem-solving abilities and exercise sound judgment and common sense in decision-making
• Strong ownership of tasks & responsibilites
• Sensitive to data integrity and understand the significance of data quality to ensure accurate analysis
• Strong communication skills to comprehend business requirements and engage effectively with stakeholders.
• A proactive, resourceful attitude that encourages self-driven learning while actively seeking available mentorship and guidance.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Data Analytics Intern (Finance), you will be part of a regional function working to support the finance department in Funding Societies. The role requires using a mix of skills including analysis, effective communication, creative problem solving, project management, and cross-functional collaboration to solve complex finance related business problems.

What you will do:

• Data Warehousing: Performing daily data operations tasks, such as pipeline checking, backfilling data, root cause analysis. 
• Automation: Build automation for some finance data alerts & checkers
• Dashboard: Assist dashboard operational tasks includes checking refresh schedules and updating 
• Operational: Support ad-hoc projects or duties and document the finance data glossary  assigned from time to time

What we are looking for:

• Intermediate to Advanced SQL - Should possess core skills in querying and processing data
• Strong ownership of their tasks/experiences 
• Demonstrates problem-solving abilities and exercise sound judgment and common sense in decision-making
• Sensitive to data integrity and understand the significance of data quality to ensure accurate analysis
• Strong communication skills to comprehend business requirements and engage effectively with stakeholders.
• A proactive, resourceful attitude that encourages self-driven learning while actively seeking available mentorship and guidance.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Position Overview:

We are seeking a motivated and detail-oriented Data Analyst to join our team on a part-time basis. This role is ideal for candidate who are passionate about leveraging data to enhance student success. The successful candidate will play a critical role in analyzing and interpreting data to support the academic progress and overall success of our students.

Key Responsibilities:

1. Data Collection and Management:
   • Gather and manage data from various sources, ensuring accuracy and integrity.
   • Develop and maintain databases, data systems, and data collection processes.
2. Data Analysis:
   • Analyze student performance data to identify trends, patterns, and insights.
   • Use statistical techniques and software tools to interpret data and provide actionable insights.
3. Reporting:
   • Prepare and present comprehensive reports on student performance and success metrics.
   • Create visualizations and dashboards to effectively communicate findings to stakeholders.

About Us

INDICO is a digital technology subsidiary company of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward, INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy. 

INDICO believe we can reach beyond to empower Indonesians and enable businesses through our strong core values of EPIC WAY (Excellence, Positivity, Impactful Collaboration, Customer First, Walk the Talk, Accountability, Yes-if Mindset).

What you will do but not limited to:

• Work in collaborative, value-driven teams and customer-first mindset to build innovative platforms. 

• Use and improve continuous delivery practices to deliver high-quality software that scalable, reusable, reliable, robust and secure 

• Efficiently utilize and improve DevSecOps tools and practices to build and deploy software 

• Analyze and organize raw data. 

• Build data systems and pipelines. 

• Evaluate business needs and objectives 

• Combine raw information from different sources and data types. 

• Explore ways to enhance data quality and reliability. 

• Develop analytical tools and programs. 

• Collaborate with data scientists and architects on several projects. 

• Bachelor’s degree in Computer Science, IT, or related major. 

• Min 2 years of experience as data engineer with strong capabilities in development languages like phyton, SQL or others. 

• Well experienced in build and manage ETL process for data transformation, quality and reliability. 

• Well experience in building data platform based on server cluster such as Hadoop, Spark and Kafka and using any of the major CSPs (AWS, GCP or Azure). 

• Ability to deliver high-quality, well-tested, reusable, secure code and follow INDICO CI/CD pipeline. 

• Strong in technical expertise with various data sources & types. 

• Having Data engineering or Cloud certification is a plus. 

Position Overview:

We are seeking a motivated and detail-oriented Data Analyst to join our team on a part-time basis. This role is ideal for candidate who are passionate about leveraging data to enhance student success. The successful candidate will play a critical role in analyzing and interpreting data to support the academic progress and overall success of our students.

Key Responsibilities:

1. Data Collection and Management:
   • Gather and manage data from various sources, ensuring accuracy and integrity.
   • Develop and maintain databases, data systems, and data collection processes.
2. Data Analysis:
   • Analyze student performance data to identify trends, patterns, and insights.
   • Use statistical techniques and software tools to interpret data and provide actionable insights.
3. Reporting:
   • Prepare and present comprehensive reports on student performance and success metrics.
   • Create visualizations and dashboards to effectively communicate findings to stakeholders.

As a Data & Tech Support. The successful candidate will play a key role in providing comprehensive IT service support, data management, IT asset procurement/expense for Indonesia. This position involves delivering 1st tier helpdesk services, desk support to internal users, troubleshooting IT-related issues, and leveraging IT and Database management.

Responsibilities:

• Helpdesk Support:
  • Provide prompt and effective L1 helpdesk services to internal users using ServiceNow via remote software, phone, email, and chat.
  • Identify, prioritize, and resolve issues related to hardware, software, systems, and network.
• Data Management:
  • Ensure effective data management practices for Indonesia office.
  • Collaborate with relevant teams to address data-related challenges and ensure data integrity.
• Identity and Troubleshooting:
  • Investigate and troubleshoot problems related to IT services, including but not limited to hardware, software, systems, and network issues.
  • Escalate complex problems to higher-level support for further analysis and resolution.
• Collaboration:
  • Work collaboratively with cross-functional teams, including IT, development, and project management, to ensure IT services meet users' needs.
  • Act as a liaison between different departments to streamline communication and problem resolution.
• IT Asset Procurement and Expense Processes:
  • Manage the IT asset procurement and expense processes.
  • Collaborate with vendors to obtain competitive pricing and negotiate favorable terms.
  • Provide input on cost estimates for IT budget, ensuring alignment with organizational goals.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

• Melakukan Survey terhadap calon nasabah yang mengajukan pinjaman di BFI 
• Menganalisa kelayakan calon nasabah BFI
• Melakukan Follow Up database yang di berikan dari Telesales, dan melakukan Visit terhadap konsumen RO BFI

• Review data for accuracy and consistency.
• Ensure data synchronization with dashboards and confirm accuracy.
• Manually update systems when automated synchronization is unavailable.
• Manually track inventory details like entry dates, SKUs, testing dates, and sales dates.
• Generate and report weekly and monthly sales data, Gross Merchandise Value (GMV), and account balances.
• Reconcile invoices for logistics, insurance, and freelance usage.
• Accurately record purchases in the finance system (Peakflo) and track purchases on platforms like Tokopedia and Shopee.
• Create weekly and monthly budget forecasts and realizations.
• Compare budgeted figures with actual invoices and prepare reconciliation reports.
• Oversee mobile phone testing to ensure quality standards.
• Collaborate with team members for smooth operations and accurate data reporting.
• Communicate effectively with the team to ensure operational alignment and understanding.

We are looking for a Data Analyst who will conduct research and in-depth analyses to drive revenue and business growth. You will also translate the analysis into impactful insights and recommendations for diverse stakeholders and management. Overall, your day-to-day responsibilities will revolve around:

• Serving as a strategic advisor, partnering with cross-functional teams to understand business objectives, challenges, and opportunities
• Collaborating with business stakeholders (Product, Marketing, etc) to develop data-driven strategies and action plans to optimize business processes, improve operational efficiency, and drive cost savings
• Analyzing customer behavior and segmentation to identify acquisition, retention, and satisfaction opportunities
• Identifying and implementing A/B testing and experimentation initiatives to evaluate the impact of different strategies, features, and campaigns
• Translating data analysis findings into clear, concise recommendations to drive revenue growth, optimize marketing initiatives, and improve product performance
• Conducting comprehensive data analysis, leveraging advanced statistical methods and analytical tools to uncover actionable insights and trends
• Developing impactful reports, dashboards, and presentations to communicate insights, recommendations, and progress to stakeholders at all levels of the organization

• A Bachelor's degree, preferably in Statistics, Mathematics, Economics, or Engineering
• Have at least 2 years of relevant work experience in management/strategic consulting, banking, fintech, e-commerce, and/or start-ups
• Experience in analyzing & quantifying complex strategic issues tied to long-term business growth
• Strong foundation in data query/manipulation using SQL and data visualization using tools like Tableau
• Strong business sense and ability to articulate complex analysis results to a wide range of audiences, and translate these to actionable business insights
• Possess structured critical thinking and detail-oriented
• Effective communicator to both technical and business audiences

• Capital market sharing session
• Flexible work arrangement
• Self development program
• Health insurance benefits
• Well being and counseling program