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 Depok 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 Depok Perusahaan Pt. Sharing Vision Indonesia:

Data Scientist

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 that enhance portfolio performance and customer engagement.

What You’ll Do and How You’ll Succeed

• Develop project scopes, methodologies, and analytical 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.

We’d Love to Hear From You If…

Experience

• You hold a degree in Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or another quantitative field.
• You have at least 5 years of experience in data exploration and feature engineering.
• You understand local market conditions and industry regulations.
• A master’s degree is an advantage.

Technical Expertise

• Proficient in statistical techniques such as Gradient Boosting, Linear and Logistic Regression, Decision Trees, and Clustering.
• Skilled in Python, SQL, and Power BI for data analysis and management.
• Capable of translating complex datasets into clear, actionable insights for business improvement.
• Strong in data storytelling and presentation, with proficiency in MS Excel and MS PowerPoint.

Ways of Working

• Manage stakeholders collaboratively, diplomatically, and flexibly.
• Communicate complex ideas effectively, both verbally and in writing.
• Stay informed about macro trends in payments, banking, and financial services to support value proposition development (nice to have).
• Employment Type: Project-Based (12 months)

Junior Data Analyst (Hybrid)

Our client offers an exciting opportunity for a motivated Junior Data Analyst to join their team in Jakarta. This hybrid position blends office and remote work. The role supports senior team members in collecting, cleaning, analyzing, and interpreting large datasets, assisting in identifying patterns and insights to inform business decisions. Responsibilities include creating reports and visualizations, maintaining databases, and contributing to data quality assurance. You should have a foundational understanding of statistical concepts, proficient in Microsoft Excel, and familiarity with SQL, Python, or R is a plus.

Key Responsibilities

• Collect, clean, and organize data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and generate regular reports and dashboards tracking key performance indicators.
• Assist in creating data visualizations to communicate findings effectively.
• Support senior analysts and stakeholders with ad‑hoc data requests.
• Learn and apply various data analysis techniques and tools.
• Contribute to data quality initiatives and process improvements.
• Collaborate with cross‑functional teams to understand data needs.
• Document data sources, methodologies, and findings.
• Participate in team meetings and training sessions.
• Gain exposure to different aspects of the data lifecycle.
• Assist in the testing and validation of data models and reports.

Required Qualifications

• Recent graduate with a Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or related quantitative field.
• Strong analytical and problem‑solving skills.
• Proficiency in Microsoft Excel, including advanced functions and pivot tables.
• Familiarity with data analysis tools and languages such as SQL, Python (Pandas, NumPy), or R is a plus.
• Basic understanding of statistical concepts.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and in a team within a hybrid environment.
• Eagerness to learn and a proactive approach to tasks.
• Strong organizational and time‑management skills.
• Genuine interest in data and its application in business decision‑making.

Graduate Data Scientist (Internship)

Our client offers a hybrid internship for motivated Graduate Data Scientists in Jakarta. Interns will work on real‑world projects, performing data cleaning, exploratory analysis, feature engineering, model development and validation, and data visualization. Candidates should have a strong academic background in a quantitative field and experience with Python or R, machine learning libraries, and SQL.

Key Responsibilities

• Clean, preprocess, and explore large datasets.
• Engineer features for predictive modeling.
• Develop and validate predictive machine learning models.
• Visualize results and prepare reports.
• Collaborate with cross‑functional teams to support data‑driven decisions.

Required Qualifications

• Strong academic background in Computer Science, Statistics, Mathematics, or related field.
• Proficiency in Python or R, with experience in scikit‑learn, TensorFlow, or PyTorch.
• Knowledge of SQL for data querying.
• Excellent analytical and communication skills.
• Strong programming and problem‑solving abilities.
• Passion for data science and continuous learning.

Senior Data Scientist

This role involves leveraging advanced statistical techniques, machine learning algorithms, and data mining to extract valuable insights from complex datasets. The Senior Data Scientist will develop predictive models, lead research projects, and mentor junior staff.

Key Responsibilities

• Design, develop, and implement machine learning models for business and scientific problems.
• Clean, process, and analyze large, diverse datasets.
• Deploy predictive models and iteratively improve accuracy and efficiency.
• Collaborate with scientists, engineers, and product managers to define project goals.
• Visualize data and model results for stakeholders.
• Evaluate model performance and refine algorithms.
• Stay current with latest data science advances.
• Contribute to data infrastructure and pipelines.
• Mentor junior data scientists and analysts.
• Document methodologies, code, and results.
• Present findings to stakeholders clearly and concisely.
• Identify opportunities to apply data for innovation and growth.

Qualifications

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or related quantitative field.
• Minimum 5 years of hands‑on experience in data science, machine learning, or statistical modeling.
• Proficiency in Python or R with data science libraries (TensorFlow, PyTorch, scikit‑learn, pandas, numpy).
• Strong understanding of statistical modeling and experimental design.
• Experience with SQL and database technologies.
• Familiarity with big data technologies such as Spark or Hadoop is a plus.
• Excellent problem‑solving and analytical skills.
• Strong communication and presentation abilities.
• Experience in scientific research or R&D environments highly desirable.
• Ability to work independently or as part of a collaborative team.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.

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. Responsibilities include analysis of desk collection activities, customer interactions, QA evaluations, and building dashboards to monitor key metrics.

Job Description

• Analyze operational data related to the Operational Department.
• Monitor and evaluate quality assurance metrics such as call quality, compliance, and script adherence.
• Process and clean raw/manual data from Google Sheets & SQL databases into structured datasets.
• Identify trends, anomalies, and root causes behind customer complaints and process inefficiencies.
• Build dashboards and reports to track key metrics.
• Collaborate with Quality Assurance Operations to provide data‑driven recommendations.
• Support initiatives to improve customer satisfaction while maintaining compliance.
• Automate recurring reports and streamline data workflows.
• Present insights clearly to leaders and stakeholders.

Job Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Information Systems, or related field.
• Experience dealing with VOC (Voice of Customers) data.
• At least 2–3 years of experience in e‑commerce, financial services, or tech industry.
• Proven ability to analyze and visualize data into meaningful insights.
• Familiarity with SQL for querying large datasets.
• Basic to intermediate Python knowledge is a plus.
• Good understanding of end‑to‑end data processes.
• Strong analytical thinking with attention to detail.
• Excellent communication skills to translate insights to non‑technical teams.
• Ability to work in a fast‑paced, target‑driven fintech environment.

Apprenticeship Program – Junior Data Analyst

This remote apprenticeship offers intensive training in data collection, cleaning, interpretation, and visualization. The apprentice will work alongside experienced analysts, contributing to real‑world projects and building foundational data analytics skills.

Key Responsibilities and Learning Objectives

• Assist in gathering and compiling data from various sources.
• Learn to clean and pre‑process datasets to ensure quality.
• Develop skills in using data analysis software such as Excel, SQL, Python/R basics.
• Create reports and dashboards to visualize data.
• Support senior analysts in identifying patterns and trends.
• Gain exposure to statistical analysis methods.
• Participate in team meetings and data‑driven discussions.
• Ensure data integrity and confidentiality.
• Interpret data and translate findings into actionable insights.
• Collaborate remotely with team members on projects.
• Develop proficiency in presenting data insights to stakeholders.
• Adhere to project timelines and deliverables.
• Continuously learn new analytical techniques and tools.
• Contribute to a data‑informed culture.

Qualifications

• Strong logical reasoning and attention to detail.
• Excellent written and verbal communication skills.
• Self‑motivated, organized, and adept at time management.
• Proficiency in spreadsheet software, especially Excel.
• Familiarity with SQL, Python, or R is a plus.
• Academic background in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
• Passion for data science and continuous learning.