Data Analyst/Data Scientist

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Pt. Sharing Vision Indonesia dengan posisi Data Analyst/Data Scientist. Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Pt. Sharing Vision Indonesia melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Data Analyst/Data Scientist di Tangerang yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Pt. Sharing Vision Indonesia. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi Data Analyst/Data Scientist di Tangerang Perusahaan Pt. Sharing Vision Indonesia:

Data Analyst / Data Scientist Internship – TP Indonesia Jakarta (RDTX Square)

TP Indonesia Jakarta site (RDTX Square) is offering an internship opportunity for final‑year students or fresh graduates eager to build a career in data analytics. The role is located in Indonesia and is part of our Asia Pacific (APAC) team, reporting directly to APAC leadership and exposing interns to international projects.

• Create impactful presentations and reports using Microsoft PowerPoint and Excel.
• Apply AI tools and technologies (e.g., ChatGPT, Copilot, Deepseek) to enhance daily tasks and workflows.
• Identify opportunities for process improvement and leverage AI‑driven solutions to boost efficiency and productivity.
• Translate analytical insights into actionable recommendations for stakeholders.
• Present findings confidently to team members and APAC stakeholders.
• Work independently while also contributing effectively in a collaborative team setting.

Qualifications

• Final‑year student or fresh graduate in IT, Mathematics, Information System, Data Science, Business Digit (or related).
• Fluent in English at a professional C1–C2 level (will be tested during interview).
• Proficiency in PowerPoint and Excel.
• Familiarity with AI tools and eagerness to apply them in real‑world tasks.
• Strong analytical and problem‑solving skills.
• Excellent verbal communication and presentation skills.
• Proactive, eager to learn, and adaptable in a fast‑paced environment.
• Ability to work both independently and collaboratively.
• Willing to work onsite at RDTX Square Jakarta.

Why Join Us

• Be part of a global APAC team with direct exposure to international projects.
• Gain hands‑on experience in data analytics and AI‑driven solutions.
• Work in a dynamic, multicultural environment that values innovation and growth.
• Build a strong foundation for your career in analytics and technology.

Data Scientist – TP Indonesia Jakarta

As a Data Scientist, you will transform complex datasets into actionable insights that drive business growth. You will work across data exploration, feature engineering, statistical modelling, and campaign analytics, collaborating with stakeholders to deliver data‑driven strategies.

Key Responsibilities

• Develop project scopes, methodologies, and analytic solutions using appropriate tools and techniques.
• Ensure quality control and maintain up‑to‑date documentation for all data science projects.
• Monitor client portfolio growth data, analyse spending trends, and identify new opportunities using non‑traditional data sources and advanced modelling techniques.
• Provide data support for card campaign design, including customer tiering, test & control setup, campaign targeting, and performance tracking.
• Track and benchmark portfolio dashboards, analyse market segments and channel opportunities, and provide insights to optimise ongoing and tactical campaigns.
• Manage communication effectively with clients and stakeholders to ensure clarity, alignment, and impact.

Experience & Qualifications

• Degree in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or another quantitative field.
• At least 5 years of experience in data exploration and feature engineering.
• Understanding of local market conditions and industry regulations.
• A master’s degree is an advantage.
• Proficiency in statistical techniques such as Gradient Boosting, Linear & Logistic Regression, Decision Trees, and Clustering.
• Skilled in Python, SQL, and Power BI.
• Strong data storytelling and presentation skills, with proficiency in MS Excel and MS PowerPoint.
• Excellent communication skills, both verbal and written.
• Informed about macro trends in payments, banking, and financial services (nice to have).
• Employment type: Project‑Based (12 months).

Planning Engineer – Data Center Project

We are seeking an experienced Planning Engineer to support the Planning Manager in developing and maintaining the construction programme schedule for a Data Center project in Indonesia. The role involves tracking construction progress, updating schedules, and producing look‑ahead reports for proactive management.

Key Responsibilities

• Develop and maintain detailed construction schedules in Primavera P6 or MS Project.
• Collect daily and weekly progress data from supervisors and contractors and update the schedule accordingly.
• Produce weekly look‑ahead programmes (3‑week, 6‑week) for review by the construction and PMC teams.
• Prepare progress S‑curves, histograms, and schedule performance reports.
• Monitor actual progress against baseline and identify slippage or float erosion.
• Review and validate contractor‑submitted programmes for logic, sequencing, and resource loading.
• Support schedule impact assessments for variations, change events, and delays.
• Maintain the programme baseline and manage baseline change control procedures.
• Assist with month‑end reporting packages, including schedule narrative and performance indicators.
• Coordinate with the procurement team to integrate LLE delivery dates and milestones into the master schedule.

Requirements & Qualifications

• Minimum 7 years of project planning and scheduling experience on construction projects.
• Proficient in Primavera P6 (mandatory) and/or MS Project.
• Experience with MEP‑heavy, industrial, or mission‑critical construction projects preferred.
• Understanding of critical path methodology (CPM), earned value management, and programme baseline control.
• Ability to produce clear, accurate schedule reports for construction and management teams.
• Degree or Diploma in Engineering, Construction Management, or related discipline.
• Planning certification (PMI‑SP or AACE PSP) is advantageous.
• Proficient in English and Bahasa Indonesia.
• Detail‑oriented with strong data management and analytical skills.

Procurement Data Analyst Lead – Kopi Kenangan

As Procurement Data Analyst Lead, you will be responsible for procurement reporting, performance tracking, data accuracy, and dashboard development. Your role will transform data into actionable insights, improve reporting processes, and support management decision‑making.

Ideal Candidate Profile

• Bachelor’s Degree in Business, Industrial Engineering, Supply Chain, or related disciplines.
• Minimum 4–6 years of experience in Procurement Analytics, Supply Chain Analytics, Business Analytics, or related functions (preferably from F&B and FMCG).
• Strong understanding of procurement processes, including Purchase Requisition (PR), Purchase Order (PO), supplier management, procurement workflows, and payment processes.
• Experience analysing procurement performance, spend data, operational efficiency, and service level metrics.
• Experience working with ERP systems such as SAP or similar enterprise systems.
• Advanced Excel skills.
• Fluent in English (both written and spoken).
• Excellent time management to keep multiple procurement projects and vendor trials on schedule.
• Demonstrated ability to influence, coach, and educate cross‑functional stakeholders without direct authority.
• Proactive, collaborative, and comfortable working in a fast‑paced environment with multiple priorities.

Job Role

• Develop, maintain, and enhance procurement reports, dashboards, and analytical tools to support management decision‑making.
• Analyze procurement activities from requisition creation through purchase order issuance, fulfillment, and transaction closure to identify trends, bottlenecks, and improvement opportunities.
• Monitor procurement performance metrics, including turnaround time, service level compliance, purchasing cycle efficiency, fulfillment rates, and spending patterns.
• Translate procurement data into clear insights and recommendations for management through presentations, reports, and executive summaries.
• Ensure procurement master data, transactional records, and reporting outputs maintain a high level of accuracy, completeness, and consistency.
• Conduct regular data validation, identify discrepancies, duplicate records, or missing information, and coordinate corrective actions with relevant stakeholders.
• Support procurement governance initiatives by establishing reporting standards, data definitions, and measurement methodologies.
• Collaborate with procurement teams to improve reporting discipline, process compliance, and data quality across procurement activities.
• Facilitate discussions on procurement processes, reporting requirements, and standard operating procedures to ensure alignment across stakeholders.
• Provide guidance and coaching to procurement team members on reporting tools, data interpretation, and best practices.
• Prepare presentation materials and management reports for monthly, quarterly, and ad‑hoc business reviews.
• Drive continuous improvement initiatives by identifying opportunities to automate reporting processes and enhance analytical capabilities.

Data Analyst – Customer Experience

As a Data Analyst Customer Experience, you will transform operational and quality assurance data into actionable insights that drive performance and enhance customer satisfaction. You will analyse data from desk collection activities, customer interactions, and QA evaluations to identify trends, uncover root causes of issues, and recommend improvements.

Job Description

• Analyze operational data related to the Operational Department.
• Monitor and evaluate quality assurance metrics (call quality, compliance, script adherence) to ensure high service standards.
• Process and clean raw/manual data from Google Sheets & SQL Databases and other internal sources into structured datasets.
• Identify trends, anomalies, and root causes behind customer complaints, low performance, or process inefficiencies.
• Build dashboards and reports to track key metrics such as customer satisfaction & customer behavior.
• Collaborate with Quality Assurance Operations to provide data‑driven recommendations for improving performance and customer experience.
• Support initiatives to improve customer satisfaction while maintaining compliance with fintech regulations.
• Automate recurring reports and streamline data workflows for better efficiency.
• Present insights in a clear and actionable way to direct leaders as well as stakeholders.

Job Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Information Systems, or related field (or equivalent experience in fintech/operations).
• Strong experience in dealing with VOC (Voice of Customers) data.
• 2–3 years experience in e‑commerce, financial services or tech industry with large customer base.
• Proven ability to analyse and visualise data into meaningful insights (charts, dashboards, reports).
• Familiar with SQL for querying and managing large datasets.
• Basic to intermediate knowledge of Python (data analysis/automation is a plus).
• Good understanding of end‑to‑end data processes (collection, cleaning, validation, analysis, reporting).
• Strong analytical thinking with attention to detail and accuracy.
• Ability to identify patterns in customer behaviour and operational performance.
• Good communication skills to translate data into actionable insights for non‑technical teams.
• Able to work in a fast‑paced, target‑driven fintech environment.

IP Core & Data Center Interconnect Engineer

• Basic routing & switching, network troubleshooting, monitoring tools (Zabbix, Grafana).
• CLI configuration (Cisco / Juniper / MikroTik) and incident handling tools.
• Basic IP networking (TCP/IP, Routing), routing protocols (BGP, OSPF).
• Network monitoring tools and basic data centre networking troubleshooting.

Data Analyst at Flip – Intern

We are looking for a Data Analyst Intern to support our existing analytics team in uncovering insights that help drive smarter decisions across product, marketing, and growth. This internship is a great opportunity to work with real‑world data, improve your analytical skills, and learn how data informs business strategy.

What You’ll Do

• Analyze user behaviour, product funnels, and business performance to uncover actionable insights.
• Work on ambiguous business problems and structure analyses from scratch.
• Build dashboards, automate reporting, and improve metric visibility for stakeholders.
• Explore large datasets to identify trends, anomalies, growth opportunities, or gaps.
• Present findings through clear storytelling, visualisations, and concise recommendations.
• Partner with product, marketing, and business teams on high‑impact initiatives.
• Independently investigate problems and propose data‑driven solutions.

What We’re Looking For

• Currently pursuing a degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or Engineering.
• Strong working knowledge of SQL and comfort working with messy, real‑world datasets.
• Evidence of self‑driven learning outside coursework – side projects, competitions, open‑source contributions, personal dashboards, automation projects, blogs, or independent research.
• Demonstrated problem‑solving ability and intellectual curiosity.
• Ability to break down ambiguous problems into structured analytical approaches.
• Familiarity with Excel/Google Sheets and at least one visualisation tool (Tableau, Looker, Power BI).
• Basic knowledge of experimentation, statistics, or analytical thinking.
• Strong communication skills and ability to explain insights clearly to non‑technical stakeholders.
• Prior internship or hands‑on experience in a fast‑paced technology environment is preferred.

Data Scientist – OCBC Indonesia (AI/LLM Focus)

We’re looking for a hands‑on, end‑to‑end Data Scientist who thrives at the grassroots level — designing, building, and deploying AI/ML and LLM solutions that create real impact across OCBC Indonesia’s banking operations.

Responsibilities

• Design and deploy LLM‑powered solutions – RAG pipelines, document intelligence, summarisation, and conversational AI – on‑premise and in cloud environments.
• Build scalable AI automation pipelines targeting straight‑through processing – OCR, ASR, fraud detection, ID verification systems.
• Develop and productionise ML models for fraud detection, credit risk, customer behaviour, and personalisation.
• Collaborate cross‑functionally with engineering, product, and business stakeholders – translating ambiguous problems into deployable solutions.
• Champion MLOps best practices – versioning, monitoring, CI/CD for models, and reproducibility at scale.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
• Minimum 5 years of hands‑on experience in data science or machine learning, with a demonstrable track record of delivering production systems.
• Strong proficiency in Python and SQL; experience with PyTorch and/or TensorFlow.
• Experience building and deploying LLM‑based solutions (e.g. vLLM, LangChain, OpenAI API, Hugging Face).
• Experience with model serving frameworks and API development (FastAPI or equivalent).
• Solid understanding of MLOps practices – model monitoring, versioning, and deployment pipelines.
• Comfortable working with unstructured data, including documents, images, and audio.
• Familiarity with Cloudera Machine Learning or other enterprise ML platforms.
• Exposure to on‑premise LLM deployment and GPU infrastructure management.
• Experience with OCR pipelines, speech recognition (e.g. Whisper), or computer vision systems.
• Strong communication skills in English and Bahasa Indonesia.

General Data Analyst – Retail/Operational

About the latest Data Analyst / Data Scientist Jobs in Tangerang.

Minimum Requirements

• Minimum 3 years of relevant work experience, preferably in retail or retail enabler industries.
• Proficient in at least one programming language for data processing (Python or R) and SQL scripting.
• Hands‑on experience working with large‑scale datasets, conducting exploratory and advanced data analysis while maintaining data integrity.
• Experience in business analytics, data mining, data modelling, and data visualisation to support data‑driven decision making (plus).
• Comfortable working in a fast‑paced, agile, proactive work environment.
• Willing to explore and apply modelling techniques, including forecasting models, trend analysis, scenario simulations.
• Proficient in English, both written and verbal.

Job Description – Combines business analytics, data mining, and data visualisations to help organisations make more data‑driven decisions.

• Interprets data, patterns, and trends, turns it into actionable insights to improve business.
• Provides routine and ad‑hoc reports, ensuring insights are not only descriptive but also predictive and prescriptive where applicable.
• Translates routine data inquiries into automated and efficient reporting solutions to support operations and streamline decision making.
• Utilises modelling techniques to build forecasting models, trend analyses, and scenario simulations, enhancing the depth of data‑driven insights.
• Works with large scale datasets to conduct exploratory and advanced data analysis, ensuring data integrity and uncovering new opportunities for optimisation.

Data Analyst – Sales & Retail

What You’ll Do:

• Turn sales and operational data into clear insights that support decisions, improve store performance, and drive growth. This role provides analysis and recommendations, not just reports.
• Build and maintain sales dashboards and reports (daily, weekly, monthly).
• Track and monitor key retail KPIs, including sales vs target, LFL growth, productivity, sell‑through, and stock health.
• Analyse sales trends, identify top and bottom‑performing stores, and recommend actionable improvements.
• Assess promotions, campaigns, and markdown performance while identifying early warning signals and business risks.
• Prepare insight decks and performance reviews for weekly business calls, monthly reviews, and management updates.
• Support sales target setting, forecasting, budgeting, and incentive analysis.
• Collaborate closely with Merchandising, Marketing, Supply Chain, Finance, and Business Analysts to drive business performance.
• Improve data accuracy, automate reporting, and continuously enhance dashboards.
• Act as the company’s representative for department stores and mall partners.
• Serve as the main point of contact for promotion proposals, negotiations, external sales data requests, business inquiries, and ongoing correspondence with partners.

We’d Love to Hear From You If:

• Bachelor’s degree in Business, Economics, Statistics, Engineering, Mathematics, Informatics, or related fields.
• 2–5 years of experience in Sales Analytics, Commercial Analytics, Business Intelligence, Sales Operations, or related functions.
• Experience in retail, multi‑store operations, fashion retail, FMCG, or principal brand environments is highly preferred.
• Strong proficiency in Microsoft Excel and/or Google Sheets.
• Hands‑on experience with BI tools such as Power BI, Tableau, Looker Studio, or similar platforms.
• Knowledge of SQL is preferred.
• Familiarity with Lark is a plus.
• Strong data visualisation and storytelling capabilities.
• Solid retail and commercial understanding with the ability to turn data into actionable business insights.
• Analytical, proactive, detail‑oriented, and confident in challenging stakeholders with data‑driven recommendations.

Additional Note

All applicants must comply with EEO and anti‑discrimination laws.

Disclaimer

This description is provided for informational purposes only and is not a final offer. All content is subject to availability and changes at the discretion of the hiring organisation.