Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2025 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Blue Dragon dengan posisi Data Analyst. 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.
Blue Dragon melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Data Analyst di Indonesia yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Blue Dragon. 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 di Indonesia Perusahaan Blue Dragon:
Position Overview
We are seeking a detail-oriented, tech-savvy
Data Analyst
for a
full-time
position supporting our cutting-edge seaweed research initiative. You will be responsible for identifying patterns and correlations across multidisciplinary research data, including field observations, lab results, and literature studies, while developing AI-driven automation systems for seamless data updates. We are seeking an independent thinker who is diligent, persevering, and possesses critical thinking skills, able to draw their own conclusions from data, and works collaboratively in a team. This position offers a unique opportunity to contribute to marine innovation and may evolve into a
full-time role
based on performance and project outcomes.
Contract Details
Full Time
– Location:
Malang
– Working Hours:
40 hours/week (flexible working hours from 08:00–20:00)
Responsibilities
Data Analysis & Pattern Recognition
- Analyze fieldwork, laboratory, and literature datasets to discover correlations and scientific trends.
- Link environmental parameters (e.g., salinity, temperature) with seaweed compounds and antioxidant properties.
- Identify data gaps and suggest improvements for future experiments and sampling methods.
- Conclude from data results and create presentations, with the ability to present to the team
Research Context
- Conduct literature reviews to contextualize experimental findings within global research.
- Correlate on-site results with previous publications or regional marine science data.
- Create summary reports bridging field results and theoretical knowledge
AI Integration & Automation
- Use AI prompting tools to accelerate insight generation.
- Build automation workflows to ensure analytical processes and reports auto-update with new data.
- Develop scripts or tools to clean, process, and link raw datasets efficiently.
Communication & Documentation
- Translate technical results into clear visualizations and written summaries.
- Present analytical findings in weekly reports with the R&D team.
- Maintain comprehensive documentation of processes, tools used, and key findings.
Deliverables
Deliverable:
- Correlation Report
- Findings of patterns across various research data sources
- Literature-Fieldwork Bridge
- Comparative summary aligning experimental data with academic references
- Integrated Analytical Dataset
- Unified database of field, lab, and literature insights
- Auto-Analysis System
- Automated pipeline for continuously updating insights and reports
Qualifications
Education
- Degree in
Marine Biology, Marine Science
, and
Fisheries.
– Degree in Mathematics, Statistics, Data Science, Computer Science, or related fields.
– A background in marine biology is preferred and
an advantage
.
Technical Skills
- Possess a strong understanding of seaweed biochemistry (including seaweed compounds) and marine environmental parameters, including seasonal variations, salinity, temperature, and nutrient dynamics.
- Technology-savvy, Strong experience in data analysis using
Python or R.
- Familiarity with
AI prompting tools
- Skilled in data visualization
- Experience in working with structured and unstructured data.
- Ability to automate analytical pipelines and connect to APIs or cloud data sources.
- Passion and interest in marine science are a plus.
Soft Skills
- Strong analytical mindset and curiosity.
- Excellent problem-solving and independent learning skills.
- Effective communicator in a remote, interdisciplinary team.
- close attention to detail and accountability in data handling with a rigorous, scientific, integrity-first approach.
- Strong critical thinking, ability to analyze data, and draw independent conclusions
- Team player with a collaborative and diligent attitude
Preferred Experience Qualifications
- 1-3 years of experience working with marine biodiversity or environmental datasets.
- Exposure to machine learning models or predictive analytics.
Position Overview
We are seeking a detail-oriented, tech-savvy
Data Analyst
for a
full-time
position supporting our cutting-edge seaweed research initiative. You will be responsible for identifying patterns and correlations across multidisciplinary research data, including field observations, lab results, and literature studies, while developing AI-driven automation systems for seamless data updates. We are seeking an independent thinker who is diligent, persevering, and possesses critical thinking skills, able to draw their own conclusions from data, and works collaboratively in a team. This position offers a unique opportunity to contribute to marine innovation and may evolve into a
full-time role
based on performance and project outcomes.
Contract Details
Full Time
– Location:
Malang
– Working Hours:
40 hours/week (flexible working hours from 08:00–20:00)
Responsibilities
Data Analysis & Pattern Recognition
- Analyze fieldwork, laboratory, and literature datasets to discover correlations and scientific trends.
- Link environmental parameters (e.g., salinity, temperature) with seaweed compounds and antioxidant properties.
- Identify data gaps and suggest improvements for future experiments and sampling methods.
- Conclude from data results and create presentations, with the ability to present to the team
Research Context
- Conduct literature reviews to contextualize experimental findings within global research.
- Correlate on-site results with previous publications or regional marine science data.
- Create summary reports bridging field results and theoretical knowledge
AI Integration & Automation
- Use AI prompting tools to accelerate insight generation.
- Build automation workflows to ensure analytical processes and reports auto-update with new data.
- Develop scripts or tools to clean, process, and link raw datasets efficiently.
Communication & Documentation
- Translate technical results into clear visualizations and written summaries.
- Present analytical findings in weekly reports with the R&D team.
- Maintain comprehensive documentation of processes, tools used, and key findings.
Deliverables
Deliverable:
- Correlation Report
- Findings of patterns across various research data sources
- Literature-Fieldwork Bridge
- Comparative summary aligning experimental data with academic references
- Integrated Analytical Dataset
- Unified database of field, lab, and literature insights
- Auto-Analysis System
- Automated pipeline for continuously updating insights and reports
Qualifications
Education
- Degree in
Marine Biology, Marine Science
, and
Fisheries.
– Degree in Mathematics, Statistics, Data Science, Computer Science, or related fields.
– A background in marine biology is preferred and
an advantage
.
Technical Skills
- Possess a strong understanding of seaweed biochemistry (including seaweed compounds) and marine environmental parameters, including seasonal variations, salinity, temperature, and nutrient dynamics.
- Technology-savvy, Strong experience in data analysis using
Python or R.
- Familiarity with
AI prompting tools
- Skilled in data visualization
- Experience in working with structured and unstructured data.
- Ability to automate analytical pipelines and connect to APIs or cloud data sources.
- Passion and interest in marine science are a plus.
Soft Skills
- Strong analytical mindset and curiosity.
- Excellent problem-solving and independent learning skills.
- Effective communicator in a remote, interdisciplinary team.
- close attention to detail and accountability in data handling with a rigorous, scientific, integrity-first approach.
- Strong critical thinking, ability to analyze data, and draw independent conclusions
- Team player with a collaborative and diligent attitude
Preferred Experience Qualifications
- 1-3 years of experience working with marine biodiversity or environmental datasets.
- Exposure to machine learning models or predictive analytics.
