Robert Walters Hiring! Full Time Data Analytics Engineer in Selangor - Ricebowl

A leading organisation is seeking a Data Analytics Engineer to play a pivotal role in transforming business requirements into robust data, analytics, and business intelligence solutions. This opportunity offers you the chance to work closely with both business users and technical teams, ensuring that data is accurately structured and presented to empower effective decision-making across the company.

What you'll do:

As a Data Analytics Engineer, you will be responsible for engaging deeply with stakeholders to understand their unique reporting needs and translating these into actionable analytics requirements. Your day-to-day activities will involve analysing current processes and identifying opportunities for improvement while collaborating closely with technical teams to design effective solutions. You will extract data from various enterprise systems using advanced SQL techniques or APIs, validate its quality and consistency, then transform it through robust ETL processes into structured datasets suitable for business intelligence applications. Maintaining centralised data platforms or warehouses will be part of your remit-ensuring schemas are optimised for analytics while coordinating any necessary changes due to evolving business systems. You will also develop intuitive dashboards and reports tailored to stakeholder needs while continuously refining these tools based on user feedback. Success in this role requires strong interpersonal skills for stakeholder engagement as well as technical proficiency in managing complex data environments.

• Engage with business users and stakeholders to thoroughly understand their reporting needs, data-related challenges, and translate these into clear analytics requirements.
• Analyse existing processes, data sources, and reporting solutions to identify areas for enhancement and provide well-considered recommendations for improvement.
• Contribute actively to solution design by mapping out data flows, models, ETL processes, reporting structures, and BI solutions that align with organisational objectives.
• Work collaboratively with technical teams to assess feasibility, dependencies, impacts, and implementation considerations for proposed solutions.
• Support the refinement and prioritisation of requirements to ensure all delivered solutions are practical, scalable, and aligned with business goals.
• Extract and analyse data from core business systems such as CRM, ERP, or operational platforms using SQL or other appropriate methods.
• Validate data accuracy, completeness, consistency; identify gaps or anomalies; resolve issues at source in partnership with relevant technical teams.
• Design, develop, maintain ETL processes that transform raw data into clean, structured datasets ready for business use; monitor performance and optimise pipelines.
• Support the maintenance of centralised data platforms or warehouses by designing schemas that facilitate efficient analytics; coordinate changes resulting from system updates.
• Develop dashboards and reports based on stakeholder requirements; translate complex information into clear visualisations; continuously improve reporting solutions based on feedback.

What you bring:

To excel as a Data Analytics Engineer you will bring proven experience from roles involving direct engagement with stakeholders-translating their needs into practical analytics solutions. Your academic background should include a relevant degree such as Computer Science or Data Analytics. Technical proficiency is key: you must demonstrate advanced SQL capabilities for handling complex datasets alongside hands-on experience designing ETL processes using recognised tools. Familiarity with maintaining centralised data platforms or warehouses-including schema design principles-is essential. Experience developing dashboards via BI platforms adds further value especially if you have managed dataset connections or user access permissions. Competence in scripting languages like Python or PowerShell supports automation efforts within the team. A solid grasp of data quality management practices ensures your outputs are reliable while excellent analytical abilities combined with strong communication skills allow you to collaborate effectively across diverse groups within the organisation.

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Business Analytics or a related discipline is required for this position.
• Experience in data analytics engineering or similar roles where you have engaged directly with stakeholders to translate requirements into actionable solutions is essential.
• Proven ability to contribute meaningfully to solution design by recommending appropriate technical approaches based on business needs.
• Advanced SQL skills for extracting, transforming, validating and analysing large datasets are crucial for success in this role.
• Hands-on experience designing ETL processes using industry-standard tools; ability to troubleshoot and optimise pipelines is highly valued.
• Familiarity with maintaining data warehouses or cloud-based platforms including schema design principles such as facts, dimensions and star-schema concepts is important.
• Experience developing dashboards using BI platforms; managing datasets, connections and access permissions would be advantageous.
• Competence with scripting languages like Python or PowerShell for automation tasks related to data preparation enhances your suitability.
• Understanding of data quality management practices including governance standards and security principles ensures reliable outputs.
• Excellent analytical abilities paired with strong communication skills enable you to work effectively across both technical and non-technical audiences.

What sets this company apart:

This organisation stands out by fostering an inclusive culture where collaboration is at the forefront of every project. Employees benefit from flexible working arrangements designed to support work-life balance alongside generous pension contributions that secure your future. Continuous learning is encouraged through comprehensive training programmes which help you stay ahead in your field while expanding your skillset. Supportive leadership ensures you always have guidance when needed while knowledge sharing across teams creates an environment where everyone's expertise is valued. The company's commitment to growth leadership means you'll have opportunities not only to advance professionally but also contribute meaningfully towards impactful business outcomes-all within a dependable network of colleagues who share your enthusiasm for delivering high-quality analytics solutions.

What's next:

If you are excited about making a real difference through dependable analytics engineering in a collaborative environment-this is your opportunity!

Apply today by clicking on the link provided.

Do note that we will only be in touch if your application is shortlisted.

Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C