101 Consumer Insights jobs in Indonesia

We are looking for a Consumer Insights & Analytics Lead who will enable decision makers to act on relevant, timely and actionable insights and information about the consumer and the marketplace through crafting and implementing relevant research projects and driving analysis.

This role is based Jakarta.

Your day to day:

• Design and implement research studies to help the market achieve the business objectives.
• Lead the analysis and interpretation of results and present key findings and recommendations.
• Drive the market research process through optimizing research briefs, suppliers' choice, methodologies and analysis to ensure the highest quality from pioneering agencies in a cost-effective manner.
• Drive data extraction, analysis and synthesis that focuses on strategic priorities.
• Provide comprehensive additional analyses by considering all relevant data from various research studies to improve consumer and market understanding.
• Generate and contextualize consumer and market insights, then translate them into actionable recommendations.
• Stay ahead of the latest innovations in market research to ensure the most relevant and advanced methodologies are used to facilitate the collection of actionable consumer and brand knowledge.
• Actively seek out concept and project knowledge, findings, and best practices from other markets.

Who we're looking for:

• Graduate in Business Administration, Marketing, or any related field.
• Minimum 5 years of proven experience in market research, insights, consumer experience, business intelligence, planning, analytics and/or similar fields.
• Good knowledge of statistical analysis techniques and tools (Power BI, Google Analytics and any other data analytics).
• Strong communication and interpersonal skills.
• Proficiency in Bahasa & English both written & spoken.

What we offer

Our success depends on our talented employees who come to work here every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
• Be part of an inclusive, diverse culture, where everyone's contribution is respected; collaborate with some of the world's best people and feel like you belong.
• Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
• Take pride in delivering our promise to society: to deliver a smoke-free future

To join our growing team…

• Design, develop, and implement sophisticated statistical models and machine learning algorithms to extract insights from large-scale consumer data.
• Analyze consumer purchasing patterns, brand loyalty, market segmentation, and campaign effectiveness.
• Develop and maintain dashboards and reports to visualize key performance indicators and insights for stakeholders.
• Collaborate with marketing, product development, sales, and R&D teams to identify key business questions and provide data-driven recommendations.
• Conduct A/B testing and experimental design to evaluate the impact of various initiatives.
• Mentor junior data scientists and contribute to the development of best practices within the data science team.
• Stay current with the latest advancements in data science, machine learning, and big data technologies.
• Ensure data quality and integrity throughout the analysis process.
• Communicate complex findings and insights clearly and concisely to both technical and non-technical audiences.
• Contribute to the strategic roadmap for data analytics within the FMCG domain.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on consumer analytics, preferably within the FMCG industry.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Expertise in SQL and experience working with large datasets and distributed computing platforms (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, time series analysis), and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Excellent problem-solving skills and the ability to translate business problems into analytical solutions.
• Strong communication and presentation skills, with the ability to articulate complex results to diverse audiences.
• Demonstrated ability to work independently and collaboratively in a remote team environment.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Design and implement sophisticated analytical models to extract actionable insights from large, complex datasets (sales, marketing, social media, etc.).
• Develop predictive models for customer segmentation, churn prediction, lifetime value, and demand forecasting.
• Utilize machine learning algorithms (regression, classification, clustering, NLP) to identify key drivers of consumer behavior and market performance.
• Collaborate closely with product management, marketing, and sales teams to translate data insights into tangible business strategies and product improvements.
• Build and maintain robust data pipelines and dashboards for ongoing monitoring and reporting.
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Communicate complex findings and recommendations clearly and effectively to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Stay updated with the latest advancements in data science, machine learning, and big data technologies.
• Contribute to the development of the company's data strategy and infrastructure.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of hands-on experience in data science, with a strong focus on consumer behavior analysis and FMCG industry.
• Proven expertise in statistical modeling, machine learning, and deep learning techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong data visualization skills (e.g., Tableau, Power BI, Matplotlib).
• Excellent problem-solving, analytical, and critical thinking abilities.
• Superior communication and collaboration skills, with the ability to work effectively in a remote, international team.
• Demonstrated leadership experience or potential.

• Collecting, cleaning, and analyzing large datasets from various sources, including sales data, web analytics, social media, and survey responses.
• Identifying key consumer segments and their purchasing behaviors, preferences, and pain points within the online retail environment.
• Developing predictive models to forecast consumer demand and market trends.
• Creating comprehensive reports and compelling presentations that clearly communicate insights and recommendations to stakeholders.
• Conducting qualitative research, such as online focus groups and in-depth interviews, to supplement quantitative findings.
• Collaborating with the UX/UI team to gather feedback on website performance and user experience.
• Staying updated on the latest trends in consumer behavior, digital marketing, and data analytics methodologies.
• Proactively identifying opportunities for business improvement based on data analysis.

• Design and execute complex data analysis projects to identify key consumer trends and behaviors.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to consumer engagement and sales.
• Perform deep-dive analysis into customer segmentation, purchase patterns, and brand loyalty drivers.
• Collaborate with marketing and product teams to design and analyze A/B tests and campaign effectiveness.
• Identify opportunities for data collection improvement and data quality assurance.
• Present findings and recommendations to senior management and cross-functional teams in a clear and persuasive manner.
• Mentor junior analysts and contribute to the team's overall analytical capabilities.
• Stay current with industry best practices and emerging data analysis techniques.
• Ensure data integrity and accuracy throughout all analytical processes.
• Contribute to the development of predictive models for forecasting and customer lifetime value.

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, preferably within the FMCG industry.
• Expert proficiency in SQL for data querying and manipulation.
• Strong programming skills in Python or R for statistical analysis and modeling.
• Advanced knowledge of statistical methods, including regression analysis, time series analysis, and hypothesis testing.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to communicate complex data insights to non-technical audiences.
• Self-motivated and able to work effectively in a remote, collaborative environment.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.

Responsibilities:

Master Data Management

• Maintain and update master data records in SAP, including material, vendor, customer, and other relevant data sets
• Ensure data consistency, accuracy, and compliance with company standards.
• Perform data cleansing and validation to eliminate redundancies and errors.

Process Support and Improvement

• Provide ongoing support to teams in resolving master data-related issues and queries.
• Collaborate with business units to define data requirements and ensure alignment with SAP processes.
• Identify opportunities for process improvements related to master data

System Integration and Collaboration

• Work with IT Functional and other departments to ensure integration of SAP master data with other systems.

Reporting and Analytics

• Generate reports and dashboards to monitor data quality

Requirements:

• Bachelor's degree in Data Analyst, Information Technology, or other related fields.
• Minimum 1 year of experience as a data analysis staff (Fresh graduates are welcome to apply)
• Excellence in SAP master data update
• Strong analytical thinking
• Resilience and result-oriented individual
• Good communication skill and proactive

Job Brief

Location: Nusa Tenggara Timur, Indonesia

Program Background

The SKALA Program is a significant Australian investment designed to help Indonesia address regional disparities in development. SKALA will contribute to this objective by strengthening selected elements of Indonesia's large and complex decentralised government system responsible for the delivery of basic services (Layanan Dasar). The SKALA Program's core approach is to facilitate better collaboration (Kolaborasi) between Indonesian government stakeholders, at national and subnational levels, to help realise synergies (Sinergi) that will trigger improved service delivery. Moreover, SKALA will build on, and take to scale, the successes and learning from Australia's previous 19 years of support to Indonesia's decentralised government system. The SKALA Program is to be implemented through the following three pillars:

• Pillar 1: Stronger national level enabling environment for sub-national service delivery.
• Pillar 2: Better sub-national governance for service delivery.
• Pillar 3: Greater participation, representation and influence for women, people with disabilities and vulnerable groups.

SKALA is implemented at the national level with an office in Jakarta and at the subnational level with offices in Aceh, Nusa Tenggara Barat, Nusa Tenggara Timur, Maluku, Gorontalo, Kalimantan Utara, Tanah Papua. In addition to the 3 pillars, SKALA works across 4 general themes of Public Financial Management, Minimum Service Standards, Data and Analysis and GEDSI.

About DT Global Asia Pacific

At DT Global Asia Pacific, we aim to positively impact people's lives through delivery excellence. As a leading implementing partner across Asia and the Pacific, we co-create locally led solutions in partnership with governments, communities, and stakeholders. We bring together talented teams and deep regional expertise to deliver initiatives that promote inclusive economic growth, essential services, and resilient, secure communities. With over 1,500 staff, experts in 22+ countries and more than 60 years of development experience, we tackle complex community, national and transnational challenges — from governance and justice systems to climate resilience, infrastructure and social equity — with innovative thinking and a commitment to long-term impact.

For more information, please see

The Role

The Government Data Analysis will provide skills and expertise in processing and analysing data through collection, cleaning, and identifying patterns in existing dataset to produce information in the form of reports or visualizations that are easy to understand. The Consultant will support the analysis of data that will be displayed on NTT Data Portal. This include of various data sources such as OPD, BPS, DTSEN.

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About You

Specific Responsibilities

Based on general guidelines from Province Lead SKALA NTT, this position will be under the coordination and supervision of the Provincial Engagement Specialist (PES-DNA) and responsible to Provincial Lead SKALA NTT, for the following matters:

• Identify existing data and information system in NTT and its governance status as part of the joint studies with Badan Perencanaan Pembangunan, Riset, dan Inovasi Daerah (BAPPERIDA) and Dinas Komunikasi dan Informatika NTT.
• Provide technical and substantive inputs in data analysis regarding the development of the NTT Regional Data Portal ).
• Provide relevant data and analysis to support the development of policy brief on Minimum Standard Service (SPM), Public Finance Management (PFM), Gender Equality Disability and Social Inclusion (GEDSI).
• Prepare data analysis reports in the forms of narratives, tables, graphs and visuals.
• Provide technical inputs and analysis regarding Data Tunggal Sosial Ekonomi (DTSEN).
• Support the implementation of the NTT One Data Forum in line with SDI and SDPDN guidelines.
• Share innovation and best practices from Sasando for dissemination at both local and national levels.

Other Duties

• Comply with DFAT, DT Global and SKALA policies on gender, disability, fraud and anticorruption, child protection, PSEAH and the environment.
• Ensure compliance and adherence to various operational policies, guidelines and manuals issued by DT Global and SKALA.
• Proactively identify and report risks and manage risks within the level of accountability.
• Undertaking other duties as required by the Program.

Job Requirements

• Work environment involves only infrequent exposure to disagreeable elements and minor physical exertion and/or strain.
• Work may require long, and flexible hours as needed. Travel is based on need.

Deliverables

The consultant will be responsible for producing the following deliverables:

• Technical analysis report on dataset, including socio-economic data, from BPS (Susenas, Sakernas, DTSEN) sub-national budgeting data (APBD) and sectoral data (Dapodik, Satu Sehat, etc) and sub-national data from OPDs.
• Report on GEDSI data analysis and its utilisation in the planning process (e.g., RPJMD, RENSTRA, and RKPD).
• Technical Input to subnational socio-economic data interoperability strategy and mechanism interoperability strategy and mechanism and run various exercises for data matching and data checking.
• Analysis Report on the results of the Data and Information Management System Study in NTT
• Technical inputs on the development of the NTT Regional Data Portal ).
• Report of data analysis results (tables, graphs and visuals) for integration into Sasando.
• Technical Recommendations and policy briefs Minimum Standard Service (SPM), Public Finance Management (PFM), Gender Equality Disability and Social Inclusion (GEDSI).
• Technical Input document for the Implementation of the NTT One Data Forum in Accordance with SDI and SDPDN.
• Technical input document for regional level One Data guidelines aligned with SDPDN.
• Technical inputs and analysis regarding on Data Tunggal Sosial Ekonomi (DTSEN).
• Documentation of innovations and best practices from Sasando for dissemination at both local and national levels.
• Monthly Progress Report

Relationship Management

This position will work closely and effectively with a range of stakeholders:

• Work under the supervision of the Province Lead SKALA NTT
• Collaborate closely with the Provincial Engagement Specialist (PES-DNA) and SKALA Implementation Team
• Engage with provincial government officials and other relevant stakeholders to ensure ownership and alignment with regional policy priorities.

Selection Criteria

Essential

• Master's degree in Statistics, Government/Public Administration, Economics, Development Studies, Statistics or related fields with a minimum of 7 years' experience in data analysis, research, data science including its utilization in local planning and budgeting.
• Demonstrated experience in supporting program implementation that utilizes data digitization (information systems) for evidence-based planning and budgeting.
• Proficiency in data processing tools such as Microsoft Excel, Stata, SAS, Tableau, Metabase, Google Data Studio or Python, including the ability to manipulate and transform data, conduct exploratory data analysis, and apply statistical model.
• Strong knowledge of statistics and statistical software packages (e.g., Excel, STATA, SPSS) for dataset analysis.
• Proven ability in SQL, data visualization, and dashboard development.
• Extensive experience in developing or supporting government regulations and policies, especially in NTT regarding data management.
• Strong interpersonal skills with the ability to build and maintain effective working relationships with key stakeholders in government
• Solid understanding of Gender Equality and Social Inclusion (GEDSI) issues.

Preferred

• Experience in supporting provincial governments in developing and managing government data systems.
• Experience working in and/or with local government institutions, particularly at the subnational level.
• Prior involvement in community development projects with government and development partners, particularly in social protection for people with disabilities.

HOW TO APPLY

Please submit

1) Your CV

2) A cover letter addressing the selection criteria

APPLICATIONS CLOSE Thursday, 25th September 2025. Max 5 PM Jakarta Time

Encouraging applications from people with disabilities

As part of our commitment to inclusion, we actively encourage applications from people with disabilities (PWDs). We are also committed to providing reasonable accommodation throughout the recruitment process and in the workplace to support the success and well-being of employees with disabilities. Candidates requiring any adjustments to participate equitably, may contact SKALA People & Culture unit at and we will work with the candidate to find the right solution. This information is strictly confidential; used solely to strengthen our inclusive hiring efforts and ensure we provide any support needed. Your disclosure will not impact on recruitment decisions.

Should this role be of interest, we encourage you to apply as soon as possible. Kindly note only shortlisted applicants will be contacted.

DT Global is committed to child protection and safeguarding the welfare of children in the delivery of our international development programs. We are committed to Safety and the Prevention of Sexual Abuse and Harassment (PSEAH), and bribery prevention. DT Global is an equal opportunity employer and we encourage women, men, people with diverse backgrounds and people living with disabilities to apply. This program is funded by the Australian Government and Managed by DT Global.