Role Description A Machine Intelligence Analyst focuses on utilizing advanced data analysis, artificial intelligence (AI), and machine learning (ML) to improve the performance, safety, and efficiency of heavy equipment. This role bridges the gap between raw telematics data—collected from sensors and CAN bus/Modbus systems—and actionable business intelligence by automating reporting and alerting to drive predictive maintenance, fuel savings, and operational optimization. Position Responsibilities: - Predictive Maintenance & Diagnostics: Analyze sensor data (vibration, temperature, hydraulic pressure) to predict equipment failure, reducing downtime and lowering maintenance costs. - Telematics & Data Engineering: Extract, clean, and analyze raw data from CAN bus, Modbus, and GPS systems to monitor fleet health and location in real time. - Performance Optimization: Develop AI/ML models to improve fuel efficiency and optimize workflows (e.g., automated scheduling). - Automated Alerting & Reporting: Create automated dashboards and proactive alerts for operators/managers regarding abnormal machine behavior. - Operational Safety: Utilize ML to identify unsafe operator behavior (e.g., sudden braking, excessive idling) and ensure compliance with regulatory standards. Qualifications - Bachelor’s degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles. - Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic. - Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews. Requirements - Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur. - Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs. - Use AI to flag risky operator behaviors—such as harsh braking or overloading—and automate reporting for regulatory standards like OSHA. - Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%. - Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing). Benefits - Health, Dental and Vision plans - 401(k) Match - Volunteer time off - Short-term and long-term disability - Accident, Life and Travel insurance, as well as flexible spending - Tuition Reimbursement Options - Employee Assistance Program (EAP) - Length of Service Awards You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt’s policies (unless specified in a collective bargaining agreement): - 12-25 vacation days depending on years of service - 5 sick days - 6 holidays - 2 half day holidays - 2 floating holidays - 1 inclusion day - 1 volunteer day Company Description Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition. We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees. Sunbelt Rentals is an Equal Opportunity Employer — Minority/Female/Disabled/Veteran and any other protected ground. Base Pay Range: $64,790.40 - 89,086.80. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Sunbelt Rentals supports service members. Veterans encouraged to apply.

Role Description The Mortgage Business Intelligence & Analytics team oversees all activities and functions involved with the company’s Business Intelligence platform, giving mortgage company business leaders access to reliable, actionable data to better manage and understand the business and drive company growth. We are seeking a Business Intelligence Reporting Analyst to focus on the development of our Power BI reporting environment. The Reporting Analyst will be responsible for creating impactful dashboards and reports which deliver meaningful data to our business leaders to achieve organizational goals. This role will do more than compile tabular data; it will have an opportunity to use data to tell a story and help our team, as well as business leaders, derive meaningful insights. This role will support various facets of the company including sales, HR, and Finance. The right candidate will have a strong background with Power BI and will be detail-oriented, with the ability to infer business needs and develop reporting solutions using data visualization best practices. Responsibilities include: - Report Development (50%) - Build effective and efficient reports and dashboards using best practices in data presentation and design language - Migrate existing reporting inventory to a centralized semantic model - Automate/streamline manual processes - Data Monitoring and Diagnostics (20%) - Monitor reports for data discrepancies and issues through use of Power BI and SQL - Address, diagnose, and resolve reporting issues identified by business partners - Semantic Model Support (10%) - Propose changes and enhancements to established semantic models to support new reporting or improve existing reporting - Implement minor changes to semantic models as needed - Report Maintenance (10%) - Make minor changes and updates to existing reports as needed - Documentation (5%) - Document report development processes for business contingency purposes - Maintain semantic model documentation, including data sources and table relationships - Maintain an index of all active reports, including data lineage, purpose, and audience - Maintain reporting changelog - Team Support & Other Duties (5%) - Provide backfill support for ongoing team work as needed Qualifications - 3+ years’ experience in a data or business intelligence focused role - 3+ years creating BI dashboards and reports with a focus on data visualization and storytelling with a high proficiency using Power BI - 3+ years writing SQL queries for data mining - 3+ years’ experience collecting and documenting business requirements - Mortgage experience highly preferred - Experience with Financial reporting a plus Requirements - Intermediate proficiency with Power BI: - Understand how to navigate semantic models - Understand/create dynamic measures using DAX - Power Query for data sourcing/transformation - Row-level security implementation - Calculation groups - Data visualization - Intermediate level proficiency with SQL (T-SQL): - Standard select queries - Joins across multivariate datasets including multiple keys - Data normalization - Window functions and methods - Strong written and verbal communication skills Benefits - Vacation — Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service. - Paid Sick Time — 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed. - 9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday) - Multiple PPO Medical Plans, as well as HDHP eligible plan. - Dental Coverage - Vision Coverage - Company Paid Life Insurance - 401K with a generous employer match - Additional Benefits including – Optional Life, FSA, Pet Insurance etc. - Free Legal Services - Employee Loan Program

Role Description Join MGID as a Business Intelligence Director and help shape how data drives our business. As our Business Intelligence Director, you will: - Define the vision for Business Intelligence and build scalable analytics capabilities that empower informed decision-making across the organization. - Establish a consistent, data-driven operating model, connect operational and product metrics with financial outcomes, and help business leaders make better strategic, commercial, and product decisions. - Review and reshape the current Data Science, Business Analytics, and BI functions to ensure strong support for strategic development, product improvement, monetization, forecasting, and budgeting. - Establish an ongoing business modeling approach across all business units and projects, with clear funnel models that translate non-financial metrics into financial impact. - Strengthen and further develop the current agile BI department, ensuring continuous team growth, capability building, and organizational effectiveness. - Launch a data-driven framework for evaluating new product features, marketing campaigns, and synergies from new product acquisitions. - Review the current reporting landscape and build a clear, transparent, and consistent KPI reporting structure across the organization. - Support business leaders in cascading KPIs to their teams and implementing consistent reporting tools to track commercial and product performance. - Build stronger connections between commercial, product, finance, and analytics teams to ensure cross-functional alignment and a shared performance framework. - Drive a company-wide approach to decision-making based on reliable data, clear definitions, and measurable business outcomes. Qualifications - 10+ years of progressive experience in Business Intelligence, Analytics, or Data. - 5+ years in senior leadership roles (e.g., Head of BI, Director of BI, Director of Analytics, Data & Analytics Lead). - Strong leadership experience in Business Intelligence, Analytics, or Data Science, ideally in a fast-paced digital business. - Proven track record of transforming analytics functions into strategic business partners. - Deep understanding of performance reporting, KPI design, forecasting, budgeting, and business modeling. - Experience translating operational and product metrics into financial impact and business value. - Strong cross-functional leadership skills, with the ability to align product, commercial, finance, and executive stakeholders. - Experience building scalable reporting frameworks and improving organizational data transparency with tools such as Tableau, Power BI. - Experience in adtech, digital advertising, e-commerce, fintech, or other data-rich industries would be a strong advantage. - Willingness to remain hands-on in order to support the pace of transformation. - Languages proficiency: Ukrainian - Fluent (nice to have), English - Fluent. Benefits - Innovative, collaborative, and dynamic work environment. - Openness, transparency, and a shared drive for excellence. - Empowerment to take bold steps and embrace challenges. - Valued contributions and limitless potential for growth. Company Description MGID is a global advertising platform helping brands reach unique local audiences at scale. We empower brands and publishers to work together transparently through our privacy-first targeting technology to enable advertisers to drive performance and awareness, and publishers to retain and monetize their audiences.

Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals. - 60 Days in: Bridging business context and data understanding by articulating how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context. - 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established. - 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team. - Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings. Qualifications - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. - Strong candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams. Requirements - Expert SQL & Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models. - Reporting Ownership & Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate. - Performance Marketing Optimization: Connects data directly to levers that move the business, i.e., campaign performance, conversion rates, or revenue per session. - Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts. - Curiosity & Business Depth: Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder. Benefits - Base salary: $120,000 to $150,000 per year, paid semi-monthly. - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits. - Performance-driven company; future increases based on company and personal performance. Company Description Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.