Role Description CES GridBOOST is an advanced energy management platform that enables grid assets to participate intelligently in electricity markets. As a Data Analyst in the Forecasting and Optimization team, you will sit at the core of the product — owning the quantitative models that determine how GridBOOST bids into day-ahead, intraday, and ancillary service markets. Your work will span two tightly coupled disciplines: - Building optimization engines that translate market rules and grid constraints into optimal bid strategies. - Developing machine learning models that forecast electricity prices to inform those strategies. You will work in a cross-functional team alongside software engineers and market operations specialists, with your models running in production and directly influencing real-world market outcomes. Qualifications - Bachelor's or Master's degree in Operations Research, Applied Mathematics, Electrical Engineering, Data Science, or equivalent. - 3+ years of hands-on experience in the electricity domain — energy trading, grid operations, market analysis, or a closely related quantitative role. - Demonstrated experience formulating and solving optimization problems for real-world scheduling, dispatch, or resource allocation use cases. - Proficiency with at least one solver (Gurobi, HiGHS) and an optimization modelling library (Pyomo or similar). - Hands-on experience building and deploying ML forecasting models for time-series data, preferably electricity prices or energy load. - Strong Python skills including pandas, scikit-learn, and at least one deep learning framework. - Experience working with high-frequency time-series market data and external data APIs. - SQL proficiency for querying and extracting market and operational data. - Ability to communicate complex quantitative results clearly to non-technical stakeholders. Requirements - Solid understanding of U.S. ISO/RTO electricity markets, including their clearing mechanisms and pricing rules (Highly Preferred). - Hands-on experience building and deploying forecasting and bid optimization algorithms in the electricity markets. - Ability to work with remote and global teams across multiple time zones. Benefits - Competitive salary commensurate with experience. - Performance bonus and profit-sharing. - Medical Savings Account. - Comprehensive health insurance. - Disability and life insurance. - 401(k) matching. - Tuition reimbursement. - Meaningful responsibility and the opportunity to make a real impact in dynamic energy markets. - The chance to learn from and collaborate with experienced professionals across global teams. - Ongoing opportunities to strengthen your technical, analytical, and leadership skills. - A supportive culture that values initiative, accountability, and continuous professional growth.

Role Description This position is responsible for supporting a dynamic and growing class-action defense practice. The data analyst will play a pivotal role in managing, analyzing, and visualizing data for complex matters, including wage and hour disputes, pay equity cases, and class-action litigation. The ideal candidate will thrive in a collaborative, fast-paced environment and demonstrate outstanding technical, analytical, and communication skills to streamline class-action litigation support processes and deliver exceptional client service. On a typical day you will: - Data Management & Analytics - Partner with attorneys and clients to evaluate data needs, develop analysis strategies, and deliver clear and actionable insights. - Obtain, structure, and manage raw datasets from various sources, including payroll, timekeeping, and HRIS. - Analyze and evaluate data using advanced tools and reporting platforms to create pivot tables, charts, and intuitive visual dashboards. - Perform advanced data analytics to generate deliverables such as exposure analyses, pay equity audits, affirmative action plans, and class lists. - Design exposure analysis reports to identify key case strengths, risks, and potential settlement strategies. - Organize data workflows for wage and hour analyses, enabling efficient and accurate review across multiple data sets and record formats. - Collaboration & Communication - Work with multidisciplinary teams, including attorneys, clients, expert witnesses, and opposing counsel, to guide data-related discussions. - Collaborate with IT, eDiscovery, and Practice Support teams to ensure secure, compliant handling of sensitive data throughout the case lifecycle. - Communicate findings effectively to attorneys, clients, and other stakeholders through written reports, visual presentations, and face-to-face briefings. - Technology Strategy & Support - Evaluate and recommend new technologies, tools, and methodologies for data analysis, visualization, and reporting for litigation support. - Leverage software such as Excel, Tableau, Power BI, SQL, or similar tools to deliver dynamic and interactive visualizations of crucial metrics. - Collaborate with staff in analytics roles to provide support and seamless backup coordination. - Class-Action Specific Support - Assist with analysis of potential CAFA removal. - Prepare putative class lists, perform random sampling analyses, and other tasks in support of class opposition processes. - Develop and run pay equity and EEO analyses to ensure compliance with regulatory standards and best practices. - Coordinate with expert witnesses to create polished and effective exposure models for case development and litigation defense strategy. - Generate detailed reports to support complex class-action claims, highlighting key trends and patterns in the data. - Trial & Litigation Preparation - Support attorneys during motion practice, depositions, and trial preparation with clear, accurate data summaries and visual exhibits. - Assist in reviewing data-related findings in expert reports, ensuring alignment with case objectives and litigation strategies. Qualifications - 4+ years of professional experience as a Data Analyst, with a proven track record in complex data analysis and reporting, preferably in employment class action litigation or related fields. - Master’s or Bachelor’s degree in statistics, data analytics, or a related field. - Technical Proficiency: - Advanced Excel skills, including pivot tables, macros, and advanced formulas. - Experience with Tableau, Power BI, SQL, or similar platforms for data visualization and analysis. - Familiarity with HRIS, payroll systems (e.g., ADP, UKG), and wage and hour analysis. - Excellent verbal and written communication skills with the ability to adapt technical findings for non-technical audiences. - Advanced proficiency in the use of Microsoft Office applications (i.e., Word, Excel, PowerPoint, and Outlook) for drafting and editing complex documents and spreadsheets. - Exceptional problem-solving, analytical skills, and attention to detail, with a demonstrated ability to meet tight deadlines. - Familiarity with employment law, including wage and hour standards (especially in California), pay equity laws, and EEO compliance are strongly preferred. - Ability to design and deliver exposure models and visual insights for effective case strategy. - Strong organizational skills and ability to multitask effectively in a fast-paced environment. - Willingness and availability to work flexible hours, including evenings or weekends, to meet litigation deadlines. - Previous experience in a law firm or professional services setting supporting multiple offices strongly preferred. Benefits - Choice of health and vision insurance plans - 2 paid volunteer days for qualifying community service work - Dental plan - Fertility and adoption benefit - Paid sabbatical after 13 years of service - Tuition reimbursement - Commuter benefits - Retirement contribution

Role Description Looking to take your career to the next level? Then this role is for you! Join Outsourcey and be part of our mission to revolutionize global talent expansion! We connect businesses with dedicated full-time teams in the Philippines, offering cost-efficient solutions without compromising quality. Join us and help elevate businesses with complete control and comprehensive support, let's shape the future of work together! Qualifications - Demonstrated experience with NetSuite ERP — including master data management, uploads, and reporting - Experience with data analysis and business intelligence tools (Power BI preferred) - Ability to identify, troubleshoot, and resolve system issues independently - High attention to detail and strong data integrity standards - Excellent communication skills with the ability to work cross-functionally - NetSuite datasets knowledge - Understanding of general ledger and finance processes Requirements - Industry Experience (Preferred): FMCG / Manufacturing Environment - Previous experience working within FMCG, manufacturing, distribution, wholesale, or supply chain environments is highly regarded. - The successful candidate will have an understanding of: - Order-to-Cash (O2C) processes - Inventory management and stock control - Product and SKU management - Customer ordering and fulfilment workflows - Data reporting and analysis within high-volume transactional environments - ERP systems supporting manufacturing, warehousing, and distribution operations Core Responsibilities - NetSuite ERP Administration & Master Data Management - Maintain, update and ensure integrity of master data records including items (Assembly, Inventory, Landed Cost, and Service Items), Bills of Materials, Sales Pricing, Costing, Inventory templates and Vendor Pricing - Perform regular NetSuite uploads for demand forecasts, monthly financial LE data - Administer and maintain the Outside Manufacturing module and GL Allocation Schedules - Support users in the investigation and resolution of Netsuite system issues and its integrations to other systems (ie evexso, SPS, DSD, Ordermentum) - Identify and implement NetSuite system improvements and enhancements - Support users in developing reports and saved searches necessary for data analysis - Power BI Reporting - Monitor and resolve Power BI data refresh issues to ensure reporting availability - Support the development and maintenance of Power BI dashboards and reports - Ordermentum Administration - Maintain product and pricing data within Ordermentum - Investigate and resolve synchronisation issues between Ordermentum and NetSuite - Review all delivered un-invoiced orders and action resolution in line with known platform issues - Blueshift System Administration - Maintain the pricing model and cost model within Blueshift - Manage DFU (Demand Forecast Unit) maintenance in coordination with relevant stakeholders - Administer trading terms promotions, currency maintenance, and Indies promotion splits - Monitor and resolve job failures and error logs Benefits - Competitive salary - Opportunity to shape the HR function of a rapidly growing BPO. - Work closely with a team of industry leaders who have successfully scaled BPOs in the past. - Career growth and development opportunities. Please attach your CV and we will be in touch for a confidential chat. Let's do great things together! This is a remote position.

• This position is responsible for the implementation of new or updating of existing data systems, databases, data models and/or data visualization tools in order to create easily accessible, accurate and secure data that can be utilized for one or more of the business teams within Revenue Operations. • In order to achieve this, the Data Management Analysts will coordinate multiple stakeholders including IT, external vendors and business teammates in combination with needed technical skills & knowledge of DaVita’s data & data systems. • Builds data systems, data models or assists in the building of databases through proficiency in technical skills needed (SQL, Oracle, Netezza) • Independently exports, transforms and loads data tables into data repositories in order to support maintenance of multiple databases • Demonstrates thorough understanding for a specific business lane or specific scope of data, the source systems where that data exists, the data repositories that it can be accessed from, and for how data gets from its source system to repository • Solves problems by identifying key drivers & developing hypothesis based approach • Leads training sessions & office hours to help end users adopt best practices with visualization tool usage • Proactively raises awareness when issues arise that impact data tables, process or business metrics within their work stream • Business lead for User Acceptance testing; has reputation of timely, error free work; identifies ways to prevent further systems issues • Develops requirements by collaborating with business partners and translating needs for a specific business or data table • Effectively coordinates working sessions & facilitates interactions between business teams and/or IT (ex. Requirement review sessions, project status meetings & post-deployment feedback sessions); synthesizes and sends meeting recaps including next steps. • Directs & executes on next steps to progress own work stream; identifies & recommends new opportunities to improve existing processes • Maintains up to date documentation of data/process dependencies for a lane of business and needed requirements/updates for data systems • Proactively communicates around deadlines & roadblocks