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Job Description We are seeking an Intermediate Data Analyst to support the evolution of analytics across the Sawmills Division. This role will help deliver reporting modernization initiatives, migrate reporting assets from legacy platforms, develop Power BI solutions, and contribute to emerging digital twin, AI and automation capabilities. The successful candidate is a curious problem-solver who enjoys working with business stakeholders to transform data into actionable insights while developing expertise in modern analytics platforms. Responsibilities Partner with business teams to understand reporting, analytics, AI or automation needs. Gather business requirements and translate them into reporting, data engineering, AI agent or automation solutions. Support the development and testing of AI-enabled and automated solutions by validating data, documenting requirements, and assisting with user adoption activities. Contribute to PowerBI semantic model engineering, data transformation processes, and reporting standards. Develop, maintain, and improve dashboards, reports, visualizations, semantic models Perform data validation, quality assurance, and data pipeline troubleshooting activities. Support digital twin initiatives through engineering, validation, reporting development, testing activities, and user adoption support. Participate in continuous improvement initiatives to simplify and modernize reporting processes. Support the migration of reporting solutions from Cognos and Tableau to ReportsNow and Power BI (sunset period) Qualifications Bachelor's degree in Analytics, Business, Engineering, Computer Science, Mathematics, Statistics, or related field. 2-5 years of experience in analytics, business intelligence, or reporting. Experience with Power BI, SQL, and data visualization best practices. Understanding of data modeling and reporting concepts. Strong analytical and problem-solving skills. Effective communication and stakeholder engagement abilities. Experience with Tableau, Cognos, Alteryx, or Microsoft Fabric is considered an asset. Interest in AI, automation, and emerging analytics technologies.
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.
