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We are seeking a skilled and detail-oriented Data Analytics Engineer to join our Data Analytics Platform Team. The role focuses on supporting SSAS-based analytics solutions, maintaining Power BI frontend dashboards, and contributing to the design, delivery, and operation of data and reporting platforms. The ideal candidate will be capable of working across backend architecture, data modelling, dashboard development, and business stakeholder engagement to support both operational and executive reporting needs. Job Duties · Provide backend support for SSAS solutions , including model design, deployment support, environment migration, version control, performance monitoring, and production issue resolution. · Work closely with architecture, development, data provider, data consumer, and business stakeholder groups to support solution design, issue resolution, and delivery. · Develop and maintain Power BI frontend dashboards , including enterprise operation dashboards and executive dashboards that support leadership decision-making with clear KPI visualization, trend analysis, and business performance tracking. · Contribute to use case development, workshops, and requirement gathering sessions to validate business needs and align stakeholder expectations. · Document technical specifications, functional requirements, non-functional requirements, solution designs, and operational procedures. · Analyse new data sources using a structured data quality evaluation approach and assess the impact of integrating new data into existing pipelines and SSAS models. · Bridge business requirements and ETL / SSAS logic by troubleshooting data discrepancies and implementing scalable solutions. · Support continuous improvement initiatives for ETL pipelines, data platform design, reporting solutions, and data product delivery. Requirements · Bachelor’s degree or above in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Data Analytics, or a related discipline. · At least 5 years of relevant experience , including hands-on experience in BI solution, data engineering, or analytics platform projects. Strong technical understanding of data quality metrics, data modelling, architecture principles, and design techniques across master data, transaction data in data platform. · Strong experience in Power BI frontend development , including data objects, report objects, service objects, and report lifecycle management. Proven capability in designing and delivering management reporting, operational dashboards, and executive-level dashboards. Strong experience in data processing, data modelling, and semantic model design, including star schema and snowflake design. · Strong hands-on experience in SSAS solution support, with a solid understanding of backend architecture, deployment processes, environment management, and production support. · Experience in migration of Power BI data models to SSAS data models, including best practices for version control, deployment, and promotion across testing and production environments. · At least 2 years of SQL Server development experience, including stored procedures, SQL DDL, and DML. · Proficient in both spoken and written English and Chinese, including Mandarin and Cantonese. · Drives excellence through a strong sense of ownership and continuous improvement mindset. Proactive, detail-oriented, and strong in problem-solving, with the ability to manage multiple priorities effectively. · Professional certifications related to Power BI, SSAS, SQL Server, data engineering, BI development, or project delivery will be considered an advantage. · Candidates with less experience may also be considered for the Data Analytics Engineer (Power BI / SSAS) role, depending on overall capability, technical strength, and development potential.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.