Total 54 Full-time data entry job vacancies in Jakarta

Your role 

In this context, you’ll be joining as Data Engineer, and reporting to the Tech Lead. As Data Engineer you will also be assisting cross-departments such as Marketing and Sales teams. The Data Engineer will complete routine data engineer work and oversee simple to complex projects of data migration, database migration, ETL Migration, and many more.

The Senior 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

1.   Melakukan koordinasi dalam penerimaan dan pengeluaran barang/perangkat serta perpindahan dengan User terkait.

2.   Melakukan koordinasi berkala dengan tim inventory kantor Pusat.

3.   Melakukan pendataan atas penerimaan, pengeluaran dan perpindahan barang/perangkat

4.   Mengelola dan memantau keamanan stock barang atau perangkat

5.   Mengelola dan mengendalikan persediaan barang/perangkat fisik dengan stock dan data riil.

6.   Mengelola sistem penyimpanan Barang/Perangkat dengan efektif. 

7.   Mengajukan permintaan permintaan Barang, Perangkat, Tools yang berkelanjutan sebagai penunjang Operasional di kantor maupun dilapangan.

8.   Melakukan stock opname berkala bulanan pada gudang site dan memberikan pelaporan kepada inventory pusat. ( cabang )

9.   Melakukan stock opname berkala bulanan pada gudang penyimpanan dan memberikan pelaporan kepada Head Of Division. ( Pusat )

1. Klasifikasi Transaksi yang termasuk ke dalam objek pajak

2. Menghitung dan Kalkulasi Pajak Masa Seperti PPh 21 Tidak Final, 23, 4(2), 25, 26 dan PPN

3. Melakukan Pelaporan SPT Masa PPh 21, 23, 4(2), 26 dan PPN

4. Koordinasi dengan Staff AP untuk Penentuan Pemotongan PPh 23, 4(2), 21 tidak final dan 26 dari setiap Invoice yang diterima 

5. Rekonsiliasi data PPN antara Jurnal dan Laporan untuk perpajakan

6. Koordinasi dengan Staf Asset Management mengecek data Aset untuk dilaporkan di SPT Tahunan Badan/Perusahaan

7. Konsultasi dengan FAM dan CFO atas Case-case yang terjadi

8. Koordinasi dengan Tim HR atas data karyawan yang dibutuhkan untuk perhitungan PPh 21

9. Menerbitkan Faktur Pajak atas invoice penagihan Corporate dan Ritel

10. Membuat Bukti Potong untuk vendor

1.  Menjaga Nilai Aset yang Dimiliki Perusahaan

2.  Memantau depresiasi dan amortisasi asset Perusahaan.

3.  Mempermudah Perusahaan dalam Membuat Anggaran

4.  Mencegah Perusahaan Melakukan Pembelian yang Berlebihan

5.  Menciptakan Manajemen Risiko

6.  Meningkatkan Keamanan Aset yang Dimiliki Perusahaan

7.  Menjadi bagian penting dalam Penyusunan Neraca Akuntansi

8.  Menghapus dan memperbaharui aset untuk memenuhi tujuan perusahaan dengan cara yang efektif dan efisien

1. Melakukan pengawasan segala aktivitas operasional yang dilakukan para karyawan dikantor cabang dan unit kerja dibawahnya.
2. Melakukan koordinasi aktivitas kepada Department yang berada dibawah naungan cabang maupun unit kerja.
3. Mengelola semua aspek operasional cabang dan unit kerja seperti operasional logistik, infrastruktur, sumber daya manusia, layanan customer, administrasi dan penjualan dll.
4. Bertanggung jawab menjaga dan memelihara fasilitas, sarpras maupun asset perusahaan di Cabang dan Unit Kerja.
5. Membuat perencanaan dan mengimplementasikan pengembangan wilayah, Kebutuhan SDM serta target perjualan Cabang dan Unit kerja.
6. Memenuhi informasi dan koordinasi dengan kantor pusat perihal praktik kerja efektif, peluang bisnis, kebutuhan maupun kendala operasional lainnya.
7. Melakukan observasi secara langsung terhadap kinerja dari para bawahannya.
8. Menangani masalah kepuasan pelanggan.

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.

We are looking for a talented Data Scientist to join our growing team. In this role, you will be responsible for analyzing complex data sets and deriving actionable insights to drive strategic business decisions. You will work closely with cross-functional teams and leverage your analytical skills to improve our digital offerings.

What you will do but not limited to:

• Analyze large datasets to identify trends, patterns, and anomalies.
• Design and build data models to support business objectives.
• Collaborate with product and engineering teams to implement machine learning solutions.
• Develop visualizations and reports to communicate insights effectively to stakeholders.
• Perform statistical analysis and predictive modeling.
• Continuously monitor and evaluate model performance.
• Stay updated with the latest trends and technologies in data science and analytics.

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• Minimum 2-4 years of experience in data science or a related field.
• Strong proficiency in statistical analysis and data visualization tools (e.g., R, Python, SQL, Tableau).
• Experience with machine learning algorithms and frameworks.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong analytical and critical thinking skills.
• Ability to work collaboratively with cross-functional teams.
• Excellent communication skills in both English and Bahasa Indonesia.

• Design, develop, and maintain data pipelines, ETL processes, and data warehouses.
• Ensure data quality, integrity, and reliability throughout the data pipeline.
• Work with GCP services such as Google Cloud Storage, BigQuery, Dataflow, and Pub/Sub to architect and implement scalable and efficient data processing solutions.
• Monitor and troubleshoot data pipeline issues.
• Implement security and access controls to protect sensitive data and ensure compliance with data privacy regulations.
• Document data processes, data flows, and architectural decisions.

We’re looking for fresh graduates with experience in manipulating datasets and building statistical models for credit risk by leveraging machine learning techniques. You will partner with business, product, and engineering team to explore, determine, analyze, propose, and solve some of the most challenging business problems in lending and reduce risk. You will perform deep-dive exploration and analysis to find improvements in our existing framework. You will be submerged in a fast-paced environment working tightly in a strong team of data scientists and experience firsthand our robust data infrastructure.

Responsibilities

• Perform features selection, parameter binning, and optimize custom predictive machine learning models for credit risk scoring
• Query, process, cleanse, and verify the integrity of data used for analysis
• Analyze key metrics to determine risk and explore areas for improvements
• Create reports and dashboards to monitor model impact and performance
• Help build the variety of data ingredients needed to do modelling effectively
• Maintain the credit risk model platform which is utilized by the team
• Provide advice and guidance on potential efficiency gains and new state-of-the-art credit risk modelling methodologies

Job Description:

You will play a key role in supporting our team by ensuring data accuracy and completeness. Your responsibilities will include:

• Adjust raw data to align with clients' templates and specifications.
• Utilize provided resources to fill in any vacant data fields.
• Reach out to campaign participants as needed to verify or gather additional information.

Requirements :

• Proficient in Microsoft Excel.
• Comfortable in working with numbers.
• Strong attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Fresh graduates are encouraged, 1-2 years’ experience is a plus.
• Bachelor's degree in natural science, engineering, statistics, accounting, or mathematics preferred.
• Available to work a 3 to 6 month internship.
• Ready to work in a hybrid role; Monday and Friday (WFA); Tuesday, Wednesday, and Thursday (WFO) at Menara Sentraya, Blok M, South Jakarta.

• Responsible as the first point of contact for issues raised by customers
• Troubleshoots issues regarding cloud environments
• Manage and monitor Cloud environments.
• Document issues and interactions with customers

- Work closely with stakeholders to understand their data needs and requirements.
- Analyze business needs & build dashboard/analytical solutions for stakeholders to support their decision making.
- Improve data quality and resolve data related issues that may occur together with data engineer and other related parties.
- Communicate and present data to stakeholders and manage their expectation
- Design and build data marts to enable self-service analytics

INDICO is a subsidiary 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.

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. Currently, INDICO is expanding its business in Agritech and Agribusiness named Telkomsel DFE (www.dfe.farm/).

INDICO believes 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:

• Collect, clean and transform data from various sources into a standardize format.
• Build, train and evaluate machine learning models based on the specified design.
• Create clear and informative visualizations/report to effectively communicate findings and insights to stakeholders.

• Bachelor's degree in Mathematics, Computer Science, Physics and related field, or having related experience/project in Machine learning model
• Experience working with Python programming language
• Familiarity with Exploratory Data Analysis (EDA) using Python and it's relevant module (pandas, numpy)
• Understanding of fundamental Machine Learning (supervised vs unsupervised, different type of ML models, evaluation model: recall vs precission)
• Having experience build, train and evaluate a machine learning model (with sklearn, pytorch or tensorflow).
• Good analytical and problem-solving problem
• Eagerness to learn and adapt in a fast-paced environment

About the Role 

The Senior IT GRC and Data Privacy Analyst plays a crucial role in Amartha. You will be the warrior who will spearhead various IT GRC and Data Privacy programs to protect Amartha from internal and external threats, including monitoring and managing compliance with ISO 27001, POJK, PSrE, PDP, and other applicable regulations.

About the team

The Information Security team in Amartha is a group of dynamic, highly-analytical  individuals who are highly mindful in driving security and privacy by design within the various aspects of product lifecycle and engineering processes. We are the team who are highly passionate to be the security enabler of Amartha’s systems

Job Desc/What will you do

GRC Framework Development and Maintenance:

• Develop, implement, and maintain a comprehensive GRC framework that aligns with industry best practices and regulatory requirements.
• Conduct regular risk assessments to identify potential threats and vulnerabilities.
• Develop and implement risk mitigation strategies and action plans.
• Monitor and report on compliance with internal policies and external regulations.

Data Privacy Compliance:

• Ensure compliance with applicable data privacy regulations and data protection laws.
• Conduct data privacy impact assessments (DPIAs) for new projects or initiatives.
• Develop and implement data privacy policies and procedures.
• Manage data breaches and incidents, including notification processes and remediation activities.

Vendor Management:

• Assess the security and privacy practices of third-party vendors and suppliers.
• Negotiate and manage vendor contracts to ensure compliance with security and privacy requirements.

Regulatory Compliance:

• Stay up-to-date with evolving regulatory requirements and industry best practices.
• Provide guidance and support to the organization in meeting compliance obligations.

Identity and Access Management (IAM):

• Develop and maintain IAM policies, standards, and procedures.
• Implement and manage IAM systems and tools (e.g., identity provisioning, access control, single sign-on).
• Ensure the effective administration of user accounts and privileges.
• Conduct regular IAM audits and reviews to identify and address security gaps.
• Manage access certifications and segregation of duties controls.

Requirements

• 5+ years of related job experience
• Strong analytical and interpersonal skills
• Excellent communication both in written and spoken (English)
• Ability to express information clearly at different organizational levels
• Strong understanding of industry standards such as ISO 27001, NIST Cybersecurity Framework, GDPR, UU PDP
• Experience in the financial services industry (esp. Microfinance, Payments, etc)
• Having relevant certification are preferable (e.g.  CRISC, CIPP, etc)
• Experience with IAM technologies and frameworks (e.
• g., Active Directory, LDAP, OAuth, SAML)

• identify and classify products to Nielsen Audit items or not 
• Analyze and interpret product image to item description with attributes specific to client definition
• Deliver final good item coding specification with complete product item information 
• Review & Validate data errors and inconsistencies in value attribute code mapping
• Follow and fully owns the working process,  faster and bolder
• Interacts well with all accross teams in Operation and Commercial team
• Independently addressing internal client queries in regrads of product item specification 
• Drive time/cost-effectiveness on item product creation
• Inspire peers and co-workers
• Identify any opportunity of improvements in the process steps to aim best quality output

1. Working closely with strategic planners in providing needed data;
2. Maintaining, updating, and doing daily reports of sales performance and operation monitoring;
3. Creating queries in Google Bigquery; and
4. Adjusting and maintaining Zoho CRM to maintain sales performance and operation records.

DESKRIPSI PEKERJAAN

• Melakukan administrasi data;
• Menyiapkan rencana untuk arsitektur dan prosedur ETL (Extract/Transformation/Load);
• Memvalidasi hasil dari prosedur ETL;
• Memonitor dan melakukan tuning data dan queries;
• Melakukan proses pengumpulan dan Analisa data dari berbagai sumber;
• Memastikan kualitas data dengan melakukan validasi, pembersihan dan pemeliharaan rutin data yang digunakan dalam analisis;
• Belajar dan Mengembangkan Ketrampilan : menggunakan kesempatan untuk belajar dan mengembangkan ketrampilan analitis, teknis dan komunikasi.

If you are up for this challenges

• Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex data sets
• Provide source-to-target mappings and information-model specification documents for data sets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data

Sebagai Staf Verifikasi Data di Kartu Prakerja yang akan dikontrak selama 4 bulan (Project based), Anda akan bertanggung jawab untuk memverifikasi keakuratan dan kevalidan data yang terkait dengan program Kartu Prakerja. Anda akan bekerja sama dengan tim verifikasi data lainnya untuk memastikan bahwa data yang diinput adalah akurat dan lengkap.

Tugas dan Tanggung Jawab:

• Memverifikasi data yang diinput ke dalam sistem.
• Mengidentifikasi dan memperbaiki kesalahan data.
• Menyampaikan laporan terkait dengan hasil verifikasi data.
• Bekerja dengan tim verifikasi data lainnya untuk memastikan keakuratan dan kevalidan data.
• Memberikan dukungan dalam pemrosesan data yang berkaitan dengan program Prakerja.
• Mengikuti kebijakan dan prosedur verifikasi data yang ditetapkan.

• Pendidikan minimal S1
• Teliti dan memiliki kemampuan analisis yang baik.
• Mampu bekerja dengan deadline yang ketat.
• Mahir menggunakan Microsoft Excel atau aplikasi spreadsheet lainnya.
• Mampu bekerja secara mandiri maupun dalam tim.
• Berpengalaman dalam bidang verifikasi data merupakan nilai tambah.
• Berpengalaman dalam bidang administrasi dan pengolahan data diinginkan.

• Working with the biggest Innovation Public Services in Indonesia

We are looking for an Analytics Manager to organize our analytics function and manage our team of analysts. You will implement tools and strategies to translate raw data into valuable business insights. In this role, we expect you to have strong logical reasoning skills and business intelligence. The ability to communicate effectively is essential. If you also have solid industry experience, we’d like to meet you. Your goal will be to help our business use data to drive high performance and quality.

• Provide direction for a team of data analysts
• Take the lead on developing process for effective data analyst and reporting
• Develop and monitor project plans, track and follow up on risks, accurately report progress agains milestones to keep project/initiatives on schedule
• Proactively anticipate ssues and provide a perspective to leaders/teams for how to deliver practical solutions to business unit leaders

• Bachelor's Degree in Statistics/Mathematics/Computer Science or another quantitative field
• Min. 5 years experience in Data field is a must
• Data analyst Skills are essential
• High comfort level working in a fast - paced, result-oriented culture
• Able to manage competing, high priority demands; prioritizing workload, managing projects and multiple responsibilities agains strict deadlines

Working with the biggest Innovation Public Services in Indonesia

Working on the product used by 100 Millions of people in Indonesia from 514 city and district

For more about our output, outcome, and impact of Kartu Prakerja here

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 Senior Data Analyst (Risk), you will be at the intersection of our Business and Data in Funding Societies, working primarily with our Risk and Credit teams.

We are looking for a candidate with a strong sense of ownership, a deep appreciation of data and fundamental understanding of end-to-end analytics functions. As long as you are adding value to the business, you are your own boss. The way we work doesn’t suit everyone. But if you are humble, love autonomy and enjoy life changing professional challenges, we could be perfect for each other.

What you will do:

• Collaborate with cross-functional and cross-regional stakeholders to understand business drivers, formulate and complete end-to-end analytics solution.
• Design, develop and maintain self-service reports, dashboards and analysis on interactive BI tools for easier data visualization
• Contribute in collection, processing and modelling of financial data using SQL from complex databases to integrate into data warehouse that can be used for reporting/analysis and to give recommendations and drive decision making
• Deliver effective presentations of findings and recommendations to different audiences, creating visual displays of quantitative information that drives financial decisions in the business
• Find innovative and creative ways to obtain and drill insights from new financial data

What we are looking for:

• Minimum 3 years experience in credit risk / risk management / data analytics.
• Passionate in analysing and interpreting data patterns to drive business decisions, understanding Data Warehousing and ETL would be a plus!
• Highly proficient in SQL / Python and business intelligence tools (e.g. Tableau, Sisense, PowerBI).
• Excellent communication, project management, and stakeholder management skills in order to collaborate confidently with decision makers across different regions and departments.
• CFA / FRM / Chartered Banker would be an added advantage.

• 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

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