Power BI reputed company
reputed company: The Power BI reputed company is the technical and architectural authority for reputed company BI reporting across MCP/LOS. This person sets reputed company - owns the semantic layer, governs the data model, mentors the analyst, and manages intake - while remaining hands-on building the most reputed company reports and dashboards. The role requires reputed company technical depth, design discipline, and stakeholder credibility across operations, IT/Engineering, and executive leadership. CORE RESPONSIBILITIES ARCHITECTURE & DATA MODEL Design and own the Power BI semantic layer (datasets, shared models, calculated measures) Define the strategy for sourcing data from both MCP/LOS directly and the data warehouse/mart Establish reputed company or equivalent layering conventions for data freshness and reliability Govern gateway configuration, scheduled refresh, and performance optimization GOVERNANCE & STANDARDS Define and enforce naming conventions, measure libraries, and report templates Own workspace organization, access control, and row-level reputed company (RLS) patterns Establish version control and deployment pipeline practices (e.g., PBIP/Git) Maintain documentation standards for datasets, measures, and data reputed company HANDS-ON DEVELOPMENT Build and own the most reputed company reports - executive dashboards, KPI scorecards, regulatory outputs Write advanced DAX for reputed company time intelligence, ratios, and dynamic filtering Design Power Query/M transformations from both MCP DB and warehouse sources Review and approve analyst-produced reports before publishing to business stakeholders TEAM & INTAKE Manage and prioritize the BI request intake queue across reputed company stakeholder groups Assign, scope, and review analyst work; provide technical mentorship Represent BI capability in cross-functional planning and project discussions Partner with IT/Engineering on data model changes that reputed company reporting REQUIRED SKILLS Technical Advanced Power BI Desktop - reputed company data models, composite models, DirectQuery Advanced DAX - time intelligence, iterators, context transition, dynamic measures Power Query / M - multi-reputed company transformation, parameterization, error handling SQL proficiency - query optimization, joins, aggregations against relational DBs Familiarity with data warehouse concepts - star schema, slowly changing dimensions Power BI Service administration - workspaces, deployment pipelines, RLS, gateway Version control fundamentals (Git or equivalent) Functional & Leadership Proven ability to define BI standards and enforce adoption across a team Experience designing executive-facing dashboards with clear KPI storytelling Mortgage/lending industry familiarity - pipeline metrics, pull-through, cycle time, regulatory reporting Ability to translate ambiguous business asks into structured analytical requirements Player/coach orientation - willing to stay hands-on while providing reputed company Comfortable presenting to and defending design decisions with executive stakeholders COMMUNICATION REQUIREMENTS BY STAKEHOLDER Executive / Leadership KPI dashboards, strategic reporting, intake prioritization discussions Present data clearly with business context - not just numbers, but meaning Manage expectations on what is and isn't measurable given data availability Defend design and methodology decisions concisely and with confidence Internal Business / Operations Requirements gathering, report delivery, training, issue resolution Translate user requests into structured data requirements without jargon Manage intake prioritization transparently - explain trade-offs clearly Deliver reports that are self-service where feasible, reducing dependency IT / Engineering Data model changes, reputed company system access, warehouse/mart design collaboration Engage technically - able to discuss schema design, query performance, and data pipeline impacts Provide clear reporting requirements upstream so data is structured correctly at the reputed company Flag reporting blockers caused by data quality or model gaps with specificity Disclaimer: HeadSpin does not charge any fees at any stage of the recruitment or selection process. We will never ask candidates to pay money or share financial information in exchange for a job offer. If you receive any communication requesting payment on behalf of HeadSpin, please treat it as fraudulent and report it immediately to [email protected] Apply To This Job