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Data Analyst

Job in Tangerang, Banten, Indonesia
Listing for: PT Nusantara Duta Solusindo (NDS)
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Warehousing, Data Mining, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000000 - 240000000 IDR Monthly IDR 120000000.00 240000000.00 MONTH
Job Description & How to Apply Below

About us

PT Nusantara Duta Solusindo (NDS) is a forward-thinking technology solutions company committed to delivering innovative data-driven insights and services to organisations across Indonesia. We specialise in translating complex data into actionable intelligence that drives business growth and operational excellence. Our team is dedicated to leveraging cutting-edge analytical tools and methodologies to solve real-world business challenges. We pride ourselves on fostering a collaborative environment where analytical talent thrives and contributes meaningfully to our clients' success.

The

opportunity

We are seeking a talented and detail-oriented Data Analyst to join PT Nusantara Duta Solusindo on a contract basis. This role is positioned in Tangerang, Banten, and offers an exciting opportunity to work on diverse analytics projects that directly impact business decision-making across various industries.

As a Data Analyst, you will be responsible for collecting, processing, and analysing large datasets to uncover meaningful patterns and trends. You will translate raw data into compelling visualisations and reports that guide strategic initiatives. This contract role is essential to our operations, providing the analytical foundation that enables our clients and internal stakeholders to make informed, data-driven decisions.

Key responsibilities

Collect, clean, and validate data from multiple sources to ensure accuracy and completeness

Perform exploratory data analysis to identify trends, patterns, and anomalies within datasets

Design and develop dashboards and data visualisations using appropriate tools to communicate insights effectively

Create and maintain comprehensive reports that summarise findings and recommendations for stakeholders

Support ad-hoc analytical requests from clients and internal teams, delivering timely and accurate insights

Conduct statistical analysis and hypothesis testing to validate business assumptions

Document data sources, methodologies, and analytical processes for transparency and reproducibility

Collaborate with cross-functional teams to understand business requirements and translate them into analytical objectives

Identify opportunities for process improvement and automation within analytical workflows

What we're looking for

Degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative discipline

Proven experience as a Data Analyst or similar analytical role for at least 2-3 years

Proficiency with data analysis tools and programming languages such as Python, R, SQL, or similar

Strong experience with data visualisation platforms such as Tableau, Power BI, or Google Data Studio

Solid understanding of statistical methods and ability to apply appropriate analytical techniques

Competency in database management and querying large datasets

Excellent communication skills with the ability to explain complex analytical findings to non-technical audiences

Strong attention to detail and commitment to data accuracy and integrity

Problem-solving mindset with the ability to work independently and as part of a team

Familiarity with business intelligence platforms and enterprise data environments is advantageous

Experience with data warehousing concepts and ETL processes is a plus

What we offer

Competitive contract-based compensation package commensurate with experience

Opportunity to work on varied and challenging analytical projects across different industries

Access to modern analytical tools and technologies to enhance your skillset

Professional development opportunities including training and certifications

Collaborative work environment with experienced professionals in the data and technology sector

Flexible working arrangements where feasible within project…

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