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.

• 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

1. Data Strategy Development:

• Develop and execute a comprehensive data strategy aligned with business objectives.
• Identify opportunities for data collection and enrichment to enhance customer insights.
• Collaborate with cross-functional teams to ensure data strategy aligns with marketing, sales, and product goals.

2. Data Capture:

• Implement robust data capture mechanisms across various touchpoints (website, social media, events, etc.).
• Optimize data capture processes to ensure accuracy, completeness, and compliance with data privacy regulations.

3. Data Cleansing:

• Oversee data hygiene practices to maintain a clean and accurate CRM database.
• Implement automated processes for data validation, deduplication, and enrichment.

4. Data Segmentation:

• Utilize advanced segmentation techniques to categorize customers based on behavior, demographics, and preferences.
• Develop targeted messaging strategies for different customer segments to enhance engagement and conversion.

5. Data Implementation into Communication:

• Work closely with marketing and communication teams to integrate CRM data into campaigns and customer interactions.
• Personalize communication channels (email, SMS, etc.) based on customer insights to improve relevance and effectiveness.

6. Technical Expertise:

• Possess a strong understanding of CRM platforms (e.g., Salesforce, HubSpot, etc.) and related technologies.
• Collaborate with IT and data engineering teams to implement and optimize CRM systems and integrations.
• Provide technical guidance and support for data-related initiatives.

The Data Engineer will be responsible for the following activities: 

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization's requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

We are looking for a Senior 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 (Growth, 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 Computer Science, 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

What you’ll do:  

As an Analyst, you will participate in laying the groundwork and contribute to day-to-day reporting needs for client marketing efforts.  You will be assigned to Media analytics projects for data analysis and reporting for a client brand.

Day-to-day, your role includes:

• Keeping a pulse on daily, weekly and monthly performance data from data analytics platforms
• Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
• Participating in brainstorms to identify nuances in data to optimize our clients’ business
• Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
• Expanding industry knowledge and relevant skillsets through scheduled internal training
• Participating in ad hoc requests from accounts handled such as root-cause analysis, reporting, data analysis and more.

About the role

Join Amartha as a data analyst in our New Retail business unit. As an important member of our team, you will play a critical role in shaping the future of Amartha One's digital services products. Your skills in data analysis and strategic thinking will play a critical role in driving our mission to have an immediate impact on Amartha One agents

Responsibilities

• Carrying out comprehensive data analysis of Amarthaone agents from acquisition to activation
• Coordinate with FO team to drive weekly milestones
• Recommend solutions to improve acquisition and activation efficiency
• Designing new initiatives to help increase weekly productivity achievements
• Monitor amartha one Agent performance and lead continuous improvement initiatives

The qualifications that you must have

• A Bachelor’s degree in Math, Engineering, Computer Science of related field from reputable university
• Preferably more than 2 year experience in data analytics or business analysis
• Strong analytical skills with the ability to interpret complex data and translate findings into strategic insights and actionable recommendations
• Fluency in Bahasa Indonesia and English, both written and spoken

The primary purpose of this position is to provide leadership and direction to the QC Laboratory Data Integrity Team. The role is accountable to manage data integrity, investigation, personnel training, laboratory documentation, laboratory equipment qualification, calibration and computerized system validation and gap analysis against Pfizer Quality Standard/cGMP and all GMP-related records in QC Laboratory

How You Will Achieve It

• Drive team engagement and effective communication within QC Laboratory Data Integrity Team
• Actively coordinate with the teams to ensure the project (i.e. laboratory equipment qualification, etc.) in QC Laboratory are delivered in the most effective way and meet target dates
• Maintain and ensure compliance in Quality and Safety such as submitting CASR, QAR/ER, safety incident and CAPA as per committed in QC Laboratory
• Review and approve protocol and report of qualification of laboratory instrument
• Guide and accompany analyst during qualification of laboratory instrument
• Review computerized system validation result in the QC Laboratory 
• Perform periodic review related to audit trail, user privilege, back-up, restore and data integrity gap assessment for instrument and QC documents 
• Hold and maintain administrator account in equipment and instrument in QC Laboratory
• Maintain QC Laboratory documentation and doing Laboratory investigation, Manufacturing investigation and closure of all commitments.
• Manage calibration activities and review calibration/verification report
• Manage curricula and training assignment, and ensure training completion in QC Laboratory
• Revise SOP, STP and other GMP document in QC Laboratory, as required
• Perform training to QC Laboratory Personnel, as required

Qualifications

Must-Have

• Graduate from Faculty of Pharmacy or Chemical Science (S1, Undergraduate Degree)
• 3+ years’ experience
• Laboratory supervisory experience
• Knowledge of Good Manufacturing Practices {also cGMP} compliance requirements for Quality Control Laboratories
• Experience with leading colleagues and/or projects
• Strong people management experience
• Demonstrated skills in collaboration, attention to detail, and communication skills
• Ability to handle complex and detailed situations with a focus on quality

Nice-to-Have

• Master's degree
• Six sigma certified
• Relevant pharmaceutical experience.
• Experience with microbiological risk assessments
• Knowledge of Laboratory Information Management System Empower and Microsoft Office
• Working knowledge and understanding of requirements as it relates to method qualification and testing of components and finished products

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

We are seeking a diligent and detail-oriented Location Confirmation Specialist to join our team. In this role, you will be responsible for confirming the location of various buildings in the city center using a smartphone camera and our proprietary app. Your primary task will be to capture and upload photos of a significant number of buildings, ensuring accurate documentation of their locations.

• Collect Name, Position (lat/lon or geotag), Attributes (TBD)
• Collect address number and its position (geotag)
• Collection (surveying) street level imagery. Just driving selected areas in a city and shooting with a smartphone (or a dedicated camera) mounted in-car
• Collection of street level images. Easily move around selected areas of the city and take pictures with your smartphone

• How to collect - by walk, bike, car, etc. - of your choice, by your car (gas will be compensated additionally)
• Smartphone, internet connection
• English Intermediate
• Common computer literacy

• Flexible schedule
• Payment for fuel
• Ready to take on a student
• Can be combined with main job
• Competitive salary

We are seeking an enthusiastic and talented Data Scientist to join our team in Jakarta, Indonesia, with exceptional written and verbal English communication skills. The Data Scientist will play a key role in supporting the development and implementation of our AI initiatives. This role will involve a wide range of responsibilities, including data collection, analysis, modelling, and visualization. The ideal candidate will have a strong background in data science and AI, as well as experience working with large-scale datasets.

Role and Responsibilities:

• Collect, understand, clean, and prepare large datasets for analysis
• Develop and implement machine learning models to solve business problems
• Analyze data to identify trends and patterns
• Create visualizations to communicate insights to stakeholders
• Collaborate with cross-functional teams to develop, implement and maintain AI solutions
• Stay up to date on the latest advancements in data science and AI.

• Master’s degree in data science, Computer Science, or a related field
• 2+ years of experience in data science
• Strong expertise in data cleaning, preparation, and analysis
• Experience with machine learning algorithms and techniques
• Experience with natural language processing (NLP)
• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Tableau and Power BI
• Excellent communication and presentation skills
• Ability to work independently and as part of a team.
• Experience in software development environments

• International and multi-cultural working environment
• Competitive salary and benefits package
• Opportunity to work on innovative AI projects
• Chance to make a real impact on the world
• Collaborative and supportive work environment
• Flexible working model (Remote or Hybrid)
  

About Us:

For most Mobile Network Operators, SMS A2P is a sleeping giant. Total addressable revenue is stagnant - coming from either fixed price wholesale, or traffic eroding price hikes. HAUD’s complete Messaging Revenue Platform is an industry game-changer allowing MNOs to break free of traditional growth constraints and create attractive revenue strategies which can be enforced through our award-winning SMS firewall and billed via automation.

Moladin is Indonesia's leading used car fintech and marketplace. We are transforming the used car industry by empowering all players using our proprietary operational, financing, AI and IoT capabilities. We target to continue to grow strongly and explore more opportunities in the coming years. As a Tech start-up, we have one of the most seasoned and deep management teams plus have received strong financial backing from top investors including Sequoia Capital, Rocket Internet, East Ventures, Northstar and DST Global. We have offices based in Indonesia and an office in Singapore. Please refer to our website at https://moladin.com/en/ for more information.

Responsibilities

• Lead data analysis projects from inception to completion, including data collection, cleansing, processing, and analysis.
• Develop and refine pricing models and algorithms to optimize pricing decisions.
• Develop predictive models and algorithms to support business forecasting, optimization, and decision-making processes.
• Collaborate closely with cross-functional teams, including Operations, Strategy, Business, Product and Engineering, to understand the business requirements and translate them into actionable insights.
• Design and develop data visualizations, dashboards, and reports to communicate findings and recommendations effectively to stakeholders.
• Stay current with industry trends, emerging technologies, and best practices in data analysis and data science, and contribute to continuous improvement initiatives within the team.
• Apply advanced statistical techniques and algorithms to identify patterns, trends, and correlations in large datasets.

• Minimum 4 years of experience with data analysis, business intelligence, or data science roles, preferably a fast-paced environment in a FinTech firm.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• Previous experience in working along with the Pricing teams is preferred, in the automotive industry.
• Understanding of the used car market, pricing dynamics, and customer behavior in the automotive industry is a plus.
• Proficiency in SQL, Github, and Python, or other programming languages for data analysis and statistical modeling.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib or seaborn is good to have.
• Strong analytical and problem-solving skills, with the ability to think critically and independently.
• Excellent communication and interpersonal skills, with the ability to present technical concepts to non-technical stakeholders.
• Proven track record of delivering high-quality analysis and actionable insights that drive business impact.
• Experience working with large datasets, structured and unstructured data, and data preprocessing techniques.
• Familiarity with basic machine learning techniques such as regression, classification, clustering, and time series analysis.

• Daily review key collection indicators and present highlights to the Head of Collection.
• Conduct regular analysis of agent productivity metrics.
• Develop a thorough understanding of the collection process to address any related issues.
• Perform in-depth analysis of the collection portfolio as needed and provide recommendations for improvement.
• Perform monthly inventory planning to ensure sufficient collection capacity.
• Provide assistance to collection managers with collection tools and system support.
• Actively participate in collection system enhancement.

• Minimum of a Bachelor's degree or demonstrate equivalent experience, with a preference for backgrounds in finance, banking, or related fields.
• Possess a dynamic 2-year track record as a Quality Control (QC) specialist, Investigator, or Auditor.
• Exhibit a passionate interest in the dynamic and evolving landscape of financial technology industries.
• Showcase effective coaching, facilitation, presentation, and team-building abilities.
• Demonstrate proficiency in Microsoft Office, Google Sheets, and Google Drive.
• Display an unwavering attention to detail and precision in your work.
• Harness strong communication, investigation, and negotiation skills.
• Leverage robust analytical capabilities to navigate complex challenges.
• Fluent in both Bahasa and English (preferably).