Who are we? Gain is the Private Markets Super App, a connected global platform transforming how leading investors, advisors, and corporates source, evaluate, and execute deals. By combining investment-grade intelligence, AI-powered workflows, and proprietary data in one unified platform, Gain enables top deal teams to move faster, reduce risk, and build conviction with confidence. Gain is trusted across more than $1 trillion of private capital, used by 100% of MBB and Big Four firms, and by 80% of the world’s top 20 M&A advisory houses. Recognized for fast innovation and impact, Gain has been named both US and EU Data Provider of the Year by PE Wire, awarded Global Financial Market Review’s Best Use of AI in Finance, and ranked in Sifted’s Top 100 Fastest-Growing Companies, the Forbes 1000, and the Deloitte Technology Fast 50. Gain operates globally with offices in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore. What will you do? - Be an integral part of a dedicated Investors team within the Private Equity Intelligence group of Gain - Contribute to building the Global investor product by researching and collecting investor level strategy and fund information & data - Support in investors’ portfolio vetting to ensure accuracy, recency & completeness - Perform regular, in-depth checks of news & events linked to the investors on our platform and update the investor profiles (e.g. fund launch & raising, strategy updates, major transactions) - Support value-added data projects for research and strategy purpose (e.g. new investor product enhancements/initiatives) - Work in close cooperation with experienced Private Equity Intelligence team members to enhance the quality and depth of investor research Above all, you will join us on an exciting journey and will have the freedom to leave your personal note in a high growth scale-up What do we offer? - Opportunity to play a high-visibility role at a high-growth fintech scale-up with an international footprint - Clear development path supported by lots of coaching and a feedback-driven approach - Excellent and competitive base salary - Annual bonus linked to your performance / OKRs - Attractive benefits including remote working allowance, learning & coaching benefits, etc. - Fun working atmosphere with company-wide outings and events - Above all, the opportunity to carve your signature in a fast-growing SaaS scale-up and be part of a team being built from scratch - We are post-product-market fit and aspiring unicorn status; this is the right time to come on board and make that ride with us! What do you need to join us? - You hold a Bachelor’s degree in finance, economics, business or a quantitative field and have consistently achieved excellent results - You are a recent graduate with relevant internship experience preferably in financial research for PE, Investment Bank or Strategy consultancy  - You showcase a strong interest in private equity and investment banking, and appreciate world-class investment research and in-depth analyses - Intrigued by detailed research and analysis and an eye for detail - World-class communication skills - You are very structured and enjoy working with clear deliverables and targets Does this sound like a perfect match? We are proud of our wonderful product and believe it has lots of potential. We are growing fast and having fun while building our platform and company. Does this sound like a team you would like to become a part of? we are excited to get to know you and show you what we do! Gain.AI B.V., with its registered seat in Apollolaan 151, 1077 AR Amsterdam, The Netherlands, or another Gain.AI or Gain.pro entity which runs the recruitment process, further called „Gain", is the controller of personal data you submit as part of the job application. Your personal data will be processed for the purpose of conducting a recruitment process for the job position you apply for. If you provide Gain with explicit consent, your personal data will also be processed for the purpose of conducting future recruitment processes. Please read the Gain Privacy Policy to acquaint yourself with how Gain processes your personal data: https://www.gain.ai/privacy-and-cookie-statement Gain is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected characteristics.

• ETL processes: You develop, implement, and manage ETL processes to integrate data from various sources. • Data analysis: You perform data analyses to support business decisions. • Reporting: You design reports and dashboards to visualize business data. • Administration: You ensure our systems run smoothly and troubleshoot any issues that arise.

Job Title: Data Analyst 4 – Power BI (Short Term) Work Type: Remote Industry Category: Government / Health & Human Services / IT Employment Type: 1099 Contract Requisition ID: 798840 Location Richmond, Virginia, United States Overview The Virginia Information Technology Agency (VITA), supporting DBHDS, is seeking a Data Analyst 4 for a short-term engagement focused on Power BI dashboard development. This role will support critical data-quality initiatives by transforming complex datasets into actionable insights that improve operational decision-making and patient data integrity. Application This is a time-sensitive opportunity with a short submission window. Candidates must be prepared for a Web Cam interview and able to start promptly on 04/27/2026. Applicants must confirm willingness to work a short-term engagement and comply with all role requirements, including in-person equipment pickup if requested. Job Description This engagement focuses on converting a large Excel dataset of potential duplicate patient encounters into a structured, interactive Power BI dashboard. The selected consultant will collaborate with Health Information Management (HIM), data governance, and clinical operations teams to define requirements and build a solution that identifies duplicate records, highlights risk patterns, and supports remediation efforts. The role requires strong analytical capability, stakeholder engagement, and hands-on Power BI expertise to deliver a high-impact dashboard within a tight timeline. The consultant may also contribute to additional Power BI initiatives as needed. Responsibilities Data Analysis & Modeling - Analyze large-scale Excel datasets to assess structure, quality, and duplicate patterns - Design and develop scalable Power BI data models to support complex analytics - Implement transformation logic to prepare and structure data for reporting Dashboard Development & Visualization - Develop interactive Power BI dashboards to identify duplicate encounters and trends - Create visualizations for encounter groupings, frequency distributions, and severity indicators - Build dynamic filters (facility, date range, encounter type, risk level) to enhance usability Stakeholder Engagement & Requirements Gathering - Conduct requirements sessions with HIM, data governance, and operational teams - Translate business needs into technical dashboard specifications and wireframes - Iterate on dashboard design based on stakeholder feedback Automation & Data Validation - Implement automated data refresh processes within Power BI - Establish validation logic to ensure data accuracy and consistency Documentation & Knowledge Transfer - Produce requirements documentation, data dictionaries, and process documentation - Deliver knowledge-transfer sessions to internal staff to ensure sustainability Project Delivery - Execute deliverables aligned to project milestones and timeline expectations - Support rapid development cycles to meet tight deadlines

About Legence Legence (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients. Position Overview: We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Legence’ s office locations. Key Responsibilities Power BI Development & Visualization - Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions - Develop advanced DAX calculations, measures, and calculated columns to support complex analytical requirements - Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features - Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting - Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding Data Engineering & Architecture - Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory - Develop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniques - Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms - Write and optimize complex SQL queries, stored procedures, and database functions for performance and efficiency - Establish data governance frameworks, including data quality checks, validation rules, and documentation standards Technical Implementation - Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control - Implement row-level security (RLS) and object-level security (OLS) for data protection - Optimize report performance through query optimization, data model refinement, and DAX tuning - Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms - Automate data refresh schedules and monitor gateway configurations Required Qualifications Technical Skills - 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server) - Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language) - Strong SQL skills with experience in database design, query optimization, and performance tuning - Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles - Experience with data visualization best practices and UI/UX design principles - Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric) Data & Analytical Expertise - Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional) - Strong grasp of statistical concepts and analytical methodologies - Ability to translate complex business requirements into technical data solutions - Experience with data quality assessment and data profiling Professional Competencies - Proven ability to create visually compelling, executive-level dashboards and reports - Strong problem-solving skills with a hands-on, solution-oriented approach - Excellent communication skills to explain technical concepts to non-technical stakeholders - Detail-oriented with commitment to code quality and documentation - Demonstrated ability to use AI and automation in software engineering Preferred Qualifications - CS or CIS bachelor 's degree - Microsoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst) - Experience with Python or R for advanced analytics integration - Familiarity with Git/Azure DevOps for version control and CI/CD pipelines - Knowledge of DAX Studio, and other Power BI development tools - Experience with Power BI Embedded or custom API development - Understanding of data science concepts and predictive analytics Technical Environment - Power BI Desktop, Power BI Service, Power BI Premium/Fabric - SQL Server, Azure SQL Database, Azure Synapse Analytics - Azure Data Factory, Azure Data Lake Storage - DAX Studio, Tabular Editor, Power Query - Git/Azure DevOps for version control What Makes You Stand Out - Portfolio of impressive Power BI dashboards demonstrating design excellence and technical complexity - Track record of optimizing poorly performing reports and data models - Experience mentoring others in Power BI development and best practices - Contributions to the Power BI community (blog posts, speaking engagements, open-source projects) This is a hands-on technical role requiring daily interaction with data, code, and visualization design. The ideal candidate thrives in environments where they can build solutions from the ground up and take ownership of the entire BI development lifecycle. Base salary: $105,000–$120,000 per year. This role may be eligible for participation in discretionary bonus plan based on company and individual performance. Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date). This posting reflects compensation at the time of posting and may be updated. Unable to provide sponsorship for this position. #LI-JS1 #LI-Remote Benefits Overview 401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting. Health & Welfare Benefits: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage. Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage. Time Off: Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.) Expenses: Business travel and related expenses reimbursed per company policy. Reasonable Accommodations If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number. Employment Eligibility Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position. Third-Party Recruiting Disclaimer Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence. Pay Disclosure & Considerations Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws. Equal Employment Opportunity Employer Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations. EEO is the Law