• Develop proper specifications of data requests based on stakeholder needs • Transform requirements into actionable visualizations/reports • Design, develop, test, maintain, and support reporting solutions including new reports, visualizations, and dashboards

Role Description The Power BI Lead is the technical and architectural authority for all BI reporting across MCP/LOS. This person sets the standard - owns the semantic layer, governs the data model, mentors the analyst, and manages intake - while remaining hands-on building the most complex reports and dashboards. The role requires equal parts technical depth, design discipline, and stakeholder credibility across operations, IT/Engineering, and executive leadership. - 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 medallion or equivalent layering conventions for data freshness and reliability - Govern gateway configuration, scheduled refresh, and performance optimization - Define and enforce naming conventions, measure libraries, and report templates - Own workspace organization, access control, and row-level security (RLS) patterns - Establish version control and deployment pipeline practices (e.g., PBIP/Git) - Maintain documentation standards for datasets, measures, and data lineage - Build and own the most complex reports - executive dashboards, KPI scorecards, regulatory outputs - Write advanced DAX for complex 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 - Manage and prioritize the BI request intake queue across all 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 affect reporting Qualifications - Advanced Power BI Desktop - complex data models, composite models, DirectQuery - Advanced DAX - time intelligence, iterators, context transition, dynamic measures - Power Query / M - multi-source 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) - 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 oversight - Comfortable presenting to and defending design decisions with executive stakeholders

Title: Senior Business Intelligence Developer Location: US-NC-Charlotte Job ID 2026-5264 Job Description: Overview Hayward Holdings Inc. (NYSE "HAYW") is the largest manufacturer of residential swimming pool equipment in the world, with a significant presence in the commercial pool market that is continuously growing. Hayward designs, manufactures, and markets a full line of residential and commercial pool and spa equipment including pumps, filters, heating, cleaners, salt chlorinators, automation, lighting, safety, flow control and energy solutions at our company owned facilities. Headquartered in Charlotte, North Carolina, Hayward also has facilities in Tennessee, Arizona, and Rhode Island as well as Canada, Spain, France, Australia, and China. We are seeking a Senior BI Developer to transform data into actionable insights, lead BI projects, develop data models, and mentor teams while ensuring alignment with business objectives. Location - Remote - Working hours – ET or CT Responsibilities - Collaboration: Strong Communication and Collaboration skills, able to work effectively with both technical and non-technical stakeholders a must. - Work closely with cross-functional teams, including business stakeholders, analysts, and IT, to gather requirements, define, standardize, document, and deliver BI solutions aligned with company goals - Partner with Data Engineering to optimize robust ETL/ELT pipelines and data models (e.g., Snowflake, dbt) - Act as a key liaison between business stakeholders, data engineering and business Power BI teams to ensure alignment - Data Modeling: Develop and optimize scalable data models, and ensure data quality and performance - Data Analysis and Reporting: Analyze complex datasets to identify trends, patterns, and actionable insights that support strategic decision-making - Dashboard and Visualization Development: Design, implement, and maintain interactive dashboards and reports using tools such as Power BI - Leadership and Mentorship: Provide guidance to junior developers, foster best practices, and lead BI initiatives. - Process Improvement: Continuously enhance BI processes, tools, and methodologies to improve data quality, consistency, reporting accuracy, and efficiency across BI workflows - Governance: - Use DevOps practices to apply DevOps principles (version control; automated deployment; environment strategy; continuous integration strategy and deliver code reviews; Etc.) - Enforce BI Development standards, naming conventions - Optimization: Drive improvements to optimize BI platform performance, query efficiency, model design, and cost management - Influence & Guide: Partner with Business Power BI Teams to move towards standardized, maintainable, and scalable solutions - All other duties as assigned Qualifications - Advanced Technical Expertise: - Power BI, DAX, SQL, dbt Cloud, other BI tools and Python - Data warehousing, cloud platforms (AWS, Snowflake, Azure) - Statistical analysis - Building Semantic layers, reusable data models, scalable reporting frameworks and BI architectures - Analytical and Problem-Solving Skills: - Strong ability to interpret data, identify trends, and provide actionable recommendations. - Operate effectively in an ambiguous or evolving data environment, driving incremental improvement and structure. - Experience working across multiple business domains and stakeholder groups - Flexibility: Highly organized with the ability to adapt to changing priorities - Communication Skills: Effective collaboration with stakeholders and ability to translate business needs and/or requirements into technical solutions - Experience: - 5+ years in BI development or analytics roles - with senior-level experience 8-10 years in data modeling, data architecture, performance tuning, and strategic decision-making. - Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related fields Optional/Preferred Skills - Finance, Manufacturing, Distribution or Supply Chain experience a plus. - Experience with Microsoft Fabric a plus - Microsoft Certified: Power BI Data Analyst Associate a plus Travel Requirements - Normally once a quarter to Home Office (Charlotte, NC) #LI-LS1

• Design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform • Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures • Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process • Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services • Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices • Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions • Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments • Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments • Participate in architecture discussions and contribute to solution design decisions for new client engagements • Document technical designs, pipeline logic, and data definitions clearly for both technical and non-technical audiences