Role Description We are looking for a Senior Data Analytics Engineer to help us optimize our business strategy using the latest data techniques. This role is key to setting the roadmap for a highly efficient and scalable data function that will grow with the ambitious plans for the business. Reporting to Product, you will collaborate with Product, Engineering, Data Science, and the wider organization. You will build and maintain new data models, optimize existing ones, and work with a wide variety of technologies and datasets to drive real insight and recommendations. You'll be a driving force in identifying trends, quantifying opportunities, and setting the requirements to develop data-driven solutions that have a direct impact on the business. Our current Data Platform tech stack includes: - Data Lakehouse: Databricks - Cloud & Infrastructure: AWS (S3, Lambda), Kubernetes - Data Processing: Python is our primary language - Orchestration & Transformation: dbt, Fivetran, and Airflow - Visualization: Mode and similar BI tools - Data monitoring and alerting: Metaplane What You'll Do - Data Modeling & Pipelines: Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting. Where needed, deliver dashboards to drive more self-service on data among teams. - Stakeholder Collaboration: Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making. - Strategic Analysis: Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights. - Data Governance & Quality: Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers. - Champion Data Culture: Champion the use of data to optimize business performance and bring fresh analytical ideas to the table. - Communication & Presentation: Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences. - Process Improvement: Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure. - Data Cleansing & Transformation: Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources. - Insight Storytelling: Translate complex analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences, influencing strategic decision-making. Qualifications - Highly proficient with daily use of SQL and hands-on experience in a modern cloud data warehouse/lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake). - Comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines. - Ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews. - Problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer. - Strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of technical solutions. - Advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards. - Passionate about learning, able to quickly adopt new business concepts and technologies, and an independent, curious person who likes to take initiative. - Open mind with respect to diversity and inclusivity. Bonus Points - Familiarity with dbt to design and implement data models. - Experience with data orchestration tools. - AML Transaction Monitoring definition, calibration, testing and documentation. Experience with regulatory testing regimes such as DFS rule 504 a plus. - Customer risk rating definition, calibration, testing and documentation. Benefits - Unlimited annual leave - Great healthcare benefits - Employee discounts

Role Description Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e.g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: - Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners - Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake - Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact - Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases Qualifications - 5+ years of relevant industry experience - Passion for high data quality and impactful analytics engineering work - Expert SQL skills for data modeling and query optimization - Extensive experience with self service, advanced analytics, semantic and metrics layers - 3+ Years of Experience with Python and DBT - Strong understanding of data warehousing concepts and best practices - Efficient problem-solving and analytical skills - Proven ability to succeed in both collaborative and independent work environments at a remote-work company - Proven experience managing concurrent complex data projects from start to finish - Continuous learner with an eye on industry trends and new technologies - Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience - Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation Requirements - Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling - Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery - Proficiency in source code management tools such as GIT, BitBucket, etc. - Experience working with Cloud Technologies (AWS/GCP/Azure) - Experience working with various semi structured data formats (ex. JSON) - Experience building data solutions for future scale and analytics use-cases - 3+ years of development experience on industry standard BI tools - ML analytics engineering experience a plus - Marketing Analytics experience a plus Benefits - Equity: Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth. - Time Off & Wellbeing: - 26 paid vacation days annually, regardless of tenure - 12 Wellness Days — one fully paid day off each month to recharge, available on an ad-hoc basis and not carried over month to month - 24 hours of paid volunteer time to support meaningful causes outside of work - 3 fully paid volunteering days each year through Appfire Town, our Corporate Social Responsibility (CSR) program supporting local communities - Learning & Development: Grow with Appfire University — our custom, on-demand learning platform designed to support continuous learning and professional development. - Health & Insurance: - Fully covered Luxmed private healthcare plan - Option to extend coverage to your partner or add personalized upgrades - UNUM life insurance, fully paid by Appfire - Lifestyle & Benefits: - MyBenefit Platform with 150 PLN per month to spend on: - a Multisport card - shopping - restaurants - entertainment experiences - Lunch Card with 300 PLN monthly for groceries or dining out via a virtual prepaid Pluxee card (Google Pay or Apple Wallet supported) - Remote Work Support: Receive 200 PLN net per month as a home office allowance to help cover electricity and internet costs while working remotely.

Role Description We’re looking for a customer-centric Senior AI/Data Engineer to build and scale data systems that drive our “decision intelligence” products. You’ll work at the intersection of data engineering, product development, and AI/ML enablement—designing systems that empower customer-facing data products. This role requires not only deep technical expertise but also a strategic mindset, strong communication skills, and a high sense of ownership over how data supports the business. You will collaborate across teams to ensure data is a true product enabler. WHAT YOU'LL DO: - Engineering & AI Enablement - AI/ML ownership: Build trusted AI/ML predictions and forecasts via feature pipelines, model input/output data flows, and robust data validation frameworks. - Pipeline Design: Design and implement reliable, scalable, and secure data pipelines that serve analytical and product use cases. - Leadership: Provide technical leadership and mentorship to other data engineers and cross-functional collaborators, fostering a culture of engineering excellence. - Ecosystem Ownership & Strategy - Architecture & Evolution: Own the architecture and evolution of our data platform, ensuring it meets the performance, scalability, and agility needs of our growing business. - Governance & Observability: Implement data governance, quality, and observability best practices to ensure trustworthy insights, proactively managing data health before it impacts the business. - Infrastructure Optimization: Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product rather than just a utility. - Collaboration & Translation - Cross-Functional Partnership: Collaborate closely with product managers, engineers, and customer stakeholders to understand context and needs, and help translate them into engineering solutions. - Customer-Centricity: Ensure engineering efforts are aligned with delivering clear business value and enhancing the customer experience. WHO YOU ARE: - The ML Enabler: You are a Data Engineer who loves the complexity of AI. You understand that a model is only as good as the pipeline feeding it, and you take pride in building the infrastructure that brings AI to life. - The Product-Minded Architect: You don’t just move data from A to B; you build systems with the end-user in mind. You prioritize "Time to Insight" and usability as much as you prioritize code efficiency. - The Strategic Owner: You are comfortable working in an environment where you are expected to identify problems and fix them without waiting for a ticket. You view the data ecosystem as your product. Qualifications - 5+ years of experience in data engineering, with 1–2+ years in a senior or lead capacity. - Deep understanding of ML models and can articulate the trade-offs between different architectures (e.g., complexity vs. inference speed, accuracy vs. interpretability). - "Ninja-level" proficiency in Python for complex data structures and automation, alongside strong SQL expertise. - Strong familiarity with Scikit-Learn and similar libraries, with specific experience building and maintaining associated feature engineering pipelines. - High proficiency in MLOps practices and orchestration tools (e.g., Airflow, dbt, Dagster). - Solid experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks). - Strong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure). - Excellent communication and collaboration skills, with a proven ability to work effectively across technical and non-technical teams. Benefits - Robust benefits package, including health and dental and 401k with company match. - Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays. - Tuition reimbursement. - Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services, and much more! - 24/7 access to virtual medical care with Teladoc. - Quarterly awards based on peer nominations. - Regional discounts and perks. - Opportunities to participate in charitable events and give back to the community. Company Description - We know that there are benefits of being in the office and working from home. WorkWave promotes a healthy work/life balance and provides employees with the flexibility of collaborating in the office or the option to work virtually if desired. - We have employees in over 30 states, 7 countries and many regional offices - each with their own set of perks and opportunities to give back to the local community. - Whether you work remotely or take advantage of one of our offices, you’ll find a community of WorkWavers that value diversity, and care deeply about our products, clients, our communities and each other.

Description About the Role: We are seeking a Leader for People Analytics Journeys & COE Consulting to lead a team of embedded insights partners supporting GM's HR Centers of Excellence and priority employee journeys. This leader will shape how people analytics consulting and journey-based insights inform talent strategies, program design, and decision-making across domains such as Talent Acquisition, Talent Management, Learning, Rewards, Services and Corporate Citizenship. If you thrive at the intersection of analytics, consulting, and HR transformation-and enjoy turning complex questions into clear, actionable insights for senior stakeholders, this role offers the opportunity for meaningful enterprise impact. Why This Role Matters: This role sits at the center of how GM's HR COEs and key journeys access and apply people insights. By leading the Journeys & COE Consulting team, you will move analytics from one-off requests to integrated, journey-centric consulting that guides how we hire, develop, move, reward, and support our people-ultimately strengthening both employee experience and business outcomes. What You'll Do: - Lead the Journeys & COE Consulting Portfolio Set the strategy and operating rhythm for a team of people analytics consultants embedded to HR COEs and critical employee journeys, aligning the work with the broader HR Strategy & Enablement mission and People Analytics organization, and focusing on the highest-value talent, organizational health, and transformation questions. - Deliver Strategic Consulting & Insights Oversee high-impact consulting engagements that apply people data to topics such as hiring, internal mobility, retention, capability building, and workforce health-translating analytics into clear recommendations for senior HR and business leaders. - Enable COEs in the Shift to Journey -Centric Insights Partner with COE leaders to support and enable their shift toward end-to-end journeys and "moments that matter," co-defining the metrics, signals, and insight products that guide design, investment, and continuous improvement. - Connect Journeys with the Integrated People Analytics Team Operating Model Work closely with Employee Voice, Reporting & Data Enablement, Data Science, and Workforce Planning leaders to ensure consulting questions are supported by the right data foundations, products, and research. - Strengthen Ways of Working & Governance Help define engagement standards, intake and prioritization criteria, success measures, and consulting toolkits so the Journeys & COE Consulting team operates consistently and transparently across stakeholders. - Influence, Enable, and Build Data Literacy Build trusted relationships with executives and HR leaders, increase comfort using people analytics in decisions, and coach partners on framing the right questions, interpreting insights, and acting on recommendations. What We're Looking For: Experience - 12+ years in People Analytics, HR analytics, workforce planning, or related consulting/strategy roles , with significant experience in client-facing analytics consulting. - 5+ years leading teams or cross-functional initiatives in analytics, consulting, or HR strategy, ideally in complex, global environments. - Proven track record leading high-impact consulting engagements that influenced talent strategy, organizational effectiveness, or large-scale HR programs. Expertise - Deep understanding of the HR lifecycle and journeys (e.g., talent acquisition, development, mobility, rewards, engagement, exits) and how analytics supports decisions along those journeys. - Strong familiarity with analytics operating models (consulting, COE partnering, enablement/platform) and how to work within an integrated People Analytics "triad" structure. - Applied experience using HR data and analytics (and, ideally, tools such as Visier, Workday, and BI platforms) to inform executive decisions; hands-on tools expertise is a plus but not required. Skills - Exceptional consulting, problem-solving, and storytelling skills-able to turn ambiguous questions into structured approaches and decision-ready narratives. - Comfort working with senior and executive stakeholders , balancing strategic thinking with pragmatic recommendations and clear trade-offs. - Strong enterprise and systems thinking , with the ability to connect local COE needs to enterprise standards, data foundations, and common patterns. - Demonstrated change leadership , curiosity, and a continuous-improvement mindset. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. - The salary range for this role is $192,700 - $294,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.