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Date:  14 Oct 2026
Job Req. ID:  2710

Job Title:  Data Analyst

Location: 

Bandar Seri Begawan , Brunei-M, Brunei Darussalam

Job Summary

 

DST is looking for a Data Analyst to translate complex datasets into actionable insights, compelling data stories, and strategic recommendations. Serving as a key analytical partner across business and tech teams, this role leverages modern Business Intelligence tools and advanced analytics to optimize operational efficiency, enhance customer experience, and guide executive decision-making.

Key Responsibilities

 

  • Data Analysis & Insights

    • Perform end-to-end data analysis—including exploratory, diagnostic, and predictive modeling—on complex datasets to uncover growth opportunities, trend drivers, and operational bottlenecks

    • Extract, transform, clean, and validate multi-source data while collaborating with Data Engineers to ensure high data quality, integrity, and usability

    • Analyse customer behavioral, transactional, and digital journey data to derive insights that support audience segmentation, personalization, engagement, and retention strategies

    • Design, build, and maintain interactive enterprise BI dashboards and self-service portals to democratize data across business teams

    • Translate complex metrics and analytical findings into clear data stories and executive-level recommendations to guide business, product, and operational decisions

    • Support the development of data products, self-service analytics capabilities, and continuous improvements to analytical methodologies and governance standards

 

  • Collaboration & Stakeholder Management

    • Serve as a dedicated analytics partner to business unit leaders, proactively identifying high-value analytical opportunities and translating business strategies into data initiatives

    • Collaborate closely with Data Engineers, Data Scientists, Product Owners, and UX teams to ensure seamless data pipelines, alignment on KPI definitions, and integrated delivery of analytics projects

 

  • Data Governance & Continuous Improvement

    • Ensure data analysis and reporting activities adhere to relevant data privacy, security, governance, and quality standards

    • Continuously improve analytical methodologies, reporting processes, data visualisation practices, and analytical capabilities while keeping abreast of relevant data and technology developments

Skills & Competencies

 

  • Data Analytics & Storytelling: Exploratory Data Analysis, Diagnostic & Trend Analysis, Data Storytelling, KPI Framework Development, Cohort & Segmentation Analysis, A/B Test Evaluation

  • Data Analytics & BI: Descriptive Statistics, Exploratory Data Analysis (EDA), Cohort Analysis, Funnel Analysis, Data Visualization & Executive Storytelling.

  • Technology & Core Tools: Strong proficiency in SQL (advanced querying, joins, aggregations, window functions) and BI platforms (Power BI, Tableau).

  • Scripting & Automation: Familiarity with Python or R (Pandas, NumPy) for data manipulation, cleaning, and automating repetitive reporting tasks.

  • Data Environments: Experience querying Cloud Data Warehouses (BigQuery, Snowflake, AWS, or Azure) and working with relational data

  • Technology & Tools: Advanced SQL, Python / R , Cloud Data Warehouses , Excel, AI-Assisted Analytics Tools

  • Business & Domain: Business & Commercial Acumen, Customer & Behavioural Analytics, Data-Driven Decision Making, Digital & Telecommunications Analytics

  • Professional Skills: Executive Presentation & Communication, Strategic Business Partnership, Problem Solving, Stakeholder Management, Agile Project Delivery, Data Governance & Literacy

Relevant Experiences & Qualifications

 

  • Education: 

    • Bachelor’s degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, or a related discipline.

 

  • Experience: 

    • Relevant experience in data analytics, business intelligence, reporting, customer analytics, or a related field is an advantage

    • Strong proficiency in SQL and experience working with large or complex datasets

    • Proven expertise in modern BI platforms with a strong portfolio of interactive dashboards and data storytelling deliverables

    • Working knowledge of Python, R, or other analytical programming languages would be an advantage

    • Experience in telecommunications, digital products, customer analytics, or other data-driven environments would be an advantage

    • Demonstrated ability to act as a strategic partner to business stakeholders, translating complex analytical findings into compelling narratives and executive recommendations

Closing Date

 

  • Thursday 29th October 2026, 5pm

Apply now »