🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Position: Analytics Product Engineer Job Description: Arrow Enterprise Computing Solutions (ECS), a part of Arrow Electronics, brings innovative IT solutions to market to solve complex business challenges. We deliver value-added distribution, business consulting and channel enablement services to leading technology manufacturers and their channel partners. We help businesses grow faster, operate efficiently and transform in a dynamic market. * Please submit your application in English * Purpose of the Role The Analytics Product Engineer ensures that BIAR’s ( B usiness I ntelligence, A nalytics & R eporting) analytics products are built on scalable, consistent, and reusable data foundations. This role bridges business requirements and IT-delivered data structures by translating analytical needs into clear data specifications and designing robust semantic models for analytics consumption. The role complements IT’s ownership of ETL and core data modeling by focusing on analytical usability, consistency, and product quality. Key Responsibilities Analytics Data & Model Design Design and maintain reusable, certified datasets for Power BI and analytics solutions Define and implement best practices for analytics data modeling Ensure consistent KPI logic and semantic definitions across products Optimize performance and usability of analytical datasets Collaboration with IT Translate analytics requirements into structured data needs Provide input and feedback on IT-delivered data models from an analytics perspective Support integration of MDM (Master Data Management) structures into analytics layers Standardization & Reusability Promote modular, scalable dataset design instead of report-by-report development Reduce duplication of calculations and KPI definitions Establish quality standards for analytics data products MDM & Governance Alignment Ensure master data is consistently reflected in analytics products Align closely with Data Governance on glossary definitions and standards Support implementation of certified datasets and trusted data sources Enablement & Mentoring Guide BIAR analysts in modeling best practices Raise overall technical maturity within BIAR What we are looking for: 3+ years experience in BI and Databricks , analytics engineering, or data modeling Strong expertise in Power BI datasets and semantic modeling Solid understanding of dimensional modeling concepts Experience collaborating with centralized IT data teams Structured, quality-focused mindset Ability to explain technical concepts to business stakeholders Success Measures (First 12 Months) Establishment of certified, reusable datasets for key domains Reduced duplication of KPI logic across reports Improved performance and scalability of analytics solutions Clear working model established with IT and MDM stakeholders Do you see yourself as our future colleague? If yes – send us your application. PLEASE ATTACH YOUR RESUME IN ENGLISH #LI-KZ1 #LI-HYBRID Location: MA-Casablanca, Morocco (Boulevard Al Quods) Time Type: Full time Job Category: Business Support
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.