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About Us Consertus is a global capital program management and advisory firm that combines deep human expertise with advanced digital tools to deliver smarter, faster, and more sustainable outcomes. Headquartered in Miami, Florida, and supported by a team of more than 1,000 professionals worldwide, we help clients plan, execute, and optimize large-scale capital programs. Our integrated services span digital, advisory, and delivery, empowering organizations to navigate complexity, manage risk, and achieve strategic goals in sectors including aviation, transportation, transit, water, healthcare, energy, education, government, commercial, life sciences, and technology. At Consertus, we celebrate individual strengths, foster strong relationships, and promote flexibility in how and where we work. Join us to grow your career, develop your skills, and make a lasting impact as we transform how the world is built. Discover how Consertus is driving transformative change for our clients, our people, and the communities we serve at www.consertus.com About this Role: As a Power BI Developer, you will be part of a consulting team delivering data and analytics solutions across client engagements. You will design, develop, and maintain business intelligence solutions that transform complex data into actionable insights. Working closely with project teams and client stakeholders, you will gather requirements, develop data models, and deliver dashboards that support broader analytics and digital transformation initiatives. This role requires strong technical expertise, attention to detail, and the ability to operate effectively in a fast-paced, client-facing environment. This is a full-time, on-site position. Key Responsibilities Design and develop Power BI semantic models, dashboards, and paginated reports aligned to client requirements Build and optimize DAX measures, Power Query (M) transformations, and row-level security Engage with stakeholders to gather requirements and translate functional needs into technical specifications and scalable data models Build SSRS reports and contribute to SSAS tabular model development as part of broader BI architectures Develop and maintain ETL processes using SSIS, Power Query, Azure Data Factory, or similar tools, including data profiling and quality validation Develop KPIs and performance metrics to support operational and strategic decision-making Perform testing, validation, performance tuning, and support user acceptance testing (UAT) Manage assigned tasks and workstreams across concurrent client engagements, proactively communicating progress, risks, and blockers Demonstrate ownership of assigned deliverables, ensuring quality, timeliness, and alignment with client expectations Participate in client-facing meetings, demos, and walkthroughs, presenting solutions clearly and professionally Produce clear, well-structured documentation including data dictionaries, technical designs, and user guides Contribute to internal best practices, reusable assets, and continuous improvement initiatives Qualifications/Requirements Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or a related field 2-4 years of experience developing Power BI dashboards and reports required. Previous experience designing and developing Power BI semantic models, dashboards, and paginated reports aligned to client needs strongly required Strong experience with DAX, Power Query (M), and semantic data modeling Solid understanding of star schema and tabular modeling principles Hands-on experience with SQL Server Reporting Services (SSRS) Experience with ETL tools such as SSIS or equivalent data integration technologies, required. Strong SQL / T-SQL skills, including joins, aggregations, and performance tuning Experience working with large datasets and multiple data sources Strong analytical and problem-solving skills Effective written and verbal communication skills Additional Requirements / Skills Microsoft certifications such as PL-300, or progress toward DP-500 / DP-600 Experience with Microsoft Fabric (Lakehouse, Warehouse, Direct Lake) Familiarity with Azure data services (Azure SQL, Synapse, Data Lake) Experience with Git-based version control and deployment pipelines Exposure to additional BI tools (e.g., Tableau, Qlik, Oracle BI Publisher) Experience working with APIs (REST/SOAP) and handling JSON/XML data structures is a plus Exposure to data warehousing concepts, including staging, data marts, and dimensional modelling Understanding of capital project, construction, or asset lifecycle data is a plus Ability to manage multiple priorities and work effectively in a consulting environment What’s In It For You Comprehensive health coverage (medical, dental, and vision) Company-paid life and disability insurance Optional benefits like pet insurance, legal, and supplemental health plans 401(k) with day-one eligibility, 3% safe harbor, plus up to 2.5% company match Generous time off: 10 paid holidays and PTO starting at 15 days, growing up to 25 Access to Consertus Academy for continuous learning and development Equal Employment Opportunity Statement Consertus is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and identities, and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, or any other protected status.
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The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.