Data Quality and Analytics Specialist

Location: Remote
APPLICATIONS CLOSE Monday, 3 August 2026. Max 5 PM Jakarta Time.

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 www.dt-global.com

The Role

The Data Quality and Analytics Specialist will support SKALA and its government counterparts, particularly BAPPENAS and the Ministry of Home Affairs (KEMENDAGRI), by providing technical expertise and quality assurance in data management, data integration, interoperability, and analytics to support the continued development of the SEPAKAT application and SKALA’s broader evidence-based planning agenda.

The Consultant will contribute to the enhancement and quality assurance of SEPAKAT’s analytical modules by utilizing a wide range of data sources, including macro-level socio-economic datasets (e.g. SUSENAS and SAKERNAS), micro-level socio-economic data (DTSEN), and sectoral administrative data from ministries and government agencies, such as Dapodik, BPJS, disaster risk, climate resilience, and regional fiscal (APBD) datasets. The work will include reviewing data quality, analytical methodologies, indicators, calculations, visualizations, and analytical outputs to ensure that analyses are accurate, consistent, reliable, and fit for evidence-based planning and decision-making.

The Consultant will also support the development of cross-system and cross-sectoral analyses to strengthen the interoperability of SEPAKAT with other government information systems and digital platforms at both the national and subnational levels, including SIPD, SIKD, and e-SPM. This will involve conducting data mapping, interoperability assessments, analytical validation, and other technical analyses required to ensure the accurate, consistent, and effective exchange and utilization of data across systems.

Click on the link or copy paste it to access the full Terms of Reference for this position: 

TOR – Data Quality and Analytics Specialist

About You

Specific Responsibilities        

• Manage and analyse large national datasets, including SUSENAS, SAKERNAS, DTSEN/Regsosek, and sectoral administrative datasets, by extracting, cleaning, transforming, validating, and integrating data to support evidence-based planning and decision-making.
• Conduct statistical, spatial, and cross-sectoral analyses to identify trends, patterns, disparities, and correlations across socio-economic and administrative datasets, producing analytical outputs to support national and subnational planning, budgeting, and service delivery.
• Apply appropriate statistical methods and analytical techniques to generate evidence supporting SKALA’s objective of several thematic issues such as access to Minimum Service Standards (SPM), GEDSI, Impact of Sea level rise, for poor, vulnerable, and marginalized populations.
• Conduct quality assurance and quality control (QA/QC) of datasets, analytical methodologies, indicators, calculations, dashboards, and analytical outputs within the SEPAKAT and SIPD platform to ensure data accuracy, consistency, reliability, and fitness for purpose.
• Develop and maintain analytical dashboards, visualizations, and reporting products using appropriate business intelligence and data visualization tools to effectively communicate insights for executive and technical audiences.
• Support the design, development, testing, and quality assurance of executive dashboards by integrating DTSEN with national information systems, including SIPD, SIKD, e-SPM, and sub-national portal data.
• Support the implementation of data interoperability between SEPAKAT and other government information systems, particularly SIPD and SIKD by conducting data mapping, metadata alignment, interoperability testing, analytical validation, and technical assessments to ensure effective data exchange.
• Provide technical analysis and evidence to support SKALA’s national and provincial activities, including thematic analyses on poverty, public service delivery, fiscal performance, climate resilience, disaster risk, and other development priorities as required.
• Work collaboratively with the SKALA GEDSI team to analyse and interpret gender, disability, and social inclusion (GEDSI) data, ensuring relevant indicators and analytical outputs accurately reflect the conditions and needs of women, persons with disabilities, and other vulnerable groups.
• Collaborate with programmers, system developers, and data engineers to improve analytical modules, data pipelines, interoperability functions, and data quality processes within the SEPAKAT platform.
• Contribute to the continuous improvement of analytical methodologies, documentation, metadata, and quality assurance processes to strengthen the sustainability and usability of SEPAKAT’s analytical products.
• Perform other related duties as requested by SKALA.

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.

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

• Technical analysis reports on national and sectoral datasets, including national socio-economic data (DTSEN/Regsosek), SUSENAS, SAKERNAS, INARISK, DAPODIK, BPJS, and other relevant administrative datasets.
• Enhanced analytical modules within the SEPAKAT platform, including analyses on Minimum Service Standards (SPM), GEDSI, APBD, Sea level rise  and climate resilience for poverty, middle-class households, for planning and budgeting, and other priority development themes.
• Technical inputs and analytical products supporting the development and enhancement of Executive Dashboards for senior government decision-makers.
• Technical guidelines, standard operating procedures (SOPs), and documentation for analytical methodologies, quality assurance processes, interoperability, and data management within the SEPAKAT platform.
• Quality assurance reports documenting the validation of datasets, analytical methodologies, indicators, calculations, dashboards, and analytical outputs to ensure data accuracy, consistency, and reliability.
• Analytical reports on the utilization of Gender Equality, Disability, and Social Inclusion (GEDSI) data to support development planning processes, including RPJMD, Renstra, RKPD, RPJMDes, and other planning documents.
• Technical inputs supporting the integration and interoperability of SEPAKAT with government information systems, particularly SIPD, SIKD, e-SPM, and sub-national data portal. The work includes data mapping, metadata alignment, and interoperability testing.
• Technical recommendations and analytical outputs supporting the development of national socio-economic data interoperability mechanisms, including data matching, validation, quality assurance, and reconciliation exercises.
• Technical inputs to support the monitoring, validation, updating, and continuous improvement of national socio-economic data and analytical modules within SEPAKAT.
• Knowledge products, technical notes, and presentation materials to support capacity building and technical discussions with BAPPENAS, KEMENDAGRI, provincial governments, and other stakeholders.
• Frequently Asked Questions (FAQs), user guidance materials, and technical documentation related to SEPAKAT, SIPD integration, analytical modules, and data interoperability.
• Recommendations for improving analytical methodologies, dashboard functionality, and data quality processes to strengthen the usability and sustainability of the SEPAKAT platform.

Relationship Management

The role will be working closely with the Data and Analytics unit and Government counterparts, under close coordination and reporting to the Data and Analytic Lead. 

Selection Criteria

Essential

• Bachelor degree in Economy, Development Study, Statistics with a minimum of 9 years’ experience in data analysis, research, data science including for its utilization in local planning and budgeting.  
• Proficient in data processing tools: Demonstrate fluency in various data processing tools such as Microsoft Excel, Stata, SAS, R, or Python. Leverage these tools to manipulate and transform data, conduct exploratory data analysis, and implement statistical models.  
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Proficiency in statistics and statistical packages like Excel, STATA, SPSS to be used for dataset analysis
• Adept at using data processing platforms 
• Excellent interpersonal skills and written and verbal communication skills.
• Excellent problem-solving skills.
• Ability to work both independently and as part of a team to achieve goals.

Preferred

• Experienced working with Government of Indonesia.  
• Experienced working on community development projects involving government and development partners, especially related to social protection for people with disabilities.

HOW TO APPLY
Click the ‘Apply Now’ button.

Please submit
1) Your CV
2) A cover letter addressing the selection criteria

APPLICATIONS CLOSE Monday, 3 August 2026. Max 5 PM Jakarta Time.
  
Should this role be of interest, we encourage you to apply as soon as possible.  Kindly note only shortlisted applicants will be contacted.

People with lived experience of the regions in which DT Global operates are strongly encouraged to apply.  DT Global welcomes applications from individuals with diverse backgrounds including First Nations peoples, diverse Sexual Orientation, Gender Identity and Expression, and Sex Characteristics (SOGIESC), and people with disabilities.

We take a zero-tolerance approach to sexual exploitation, abuse and harm of adults and children; fraud, corruption and bribery; modern slavery; and any form of exploitation across our operations, partnerships, and supply chains. We uphold the highest standards of integrity and expect the same of those we work with.

Engagement with DT Global is subject to formal background screening, criminal record checks, employment verification, and periodic compliance checks. All DT Global staff receive safety, compliance, safeguarding and integrity training, and we expect our personnel and partners to always act in alignment with our company values.