Senior Analyst, Sales Strategy & Operations- Remote

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential. This role sits within the central commercial analytics team and serves Sales Operations and GTM leadership as its primary stakeholders. The analyst owns analyses end to end: framing an ambiguous business question, acquiring and validating the data, choosing the method, and delivering a recommendation to senior stakeholders. Output is insight and recommended action, not recurring reporting. The team is newly formed and the practice is actively being built. Methods, standards, and the analytical toolkit are being established now rather than inherited. The ambition is a mature, state-of-the-art commercial analytics function, and the person in this role will help build it. This is a good fit for someone who wants to shape how the work is done, and a poor fit for someone who wants established infrastructure and a defined remit on day one. What You Will Do Own commercial analyses from question through recommendation, partnering with Sales Operations and GTM leadership as the primary stakeholders, and with finance, renewals, comp planning and zone/country sales leadership as neededWork across a rotating portfolio of diagnostic questions rather than a fixed subject-matter remit.Current and upcoming areas include sales compensation plan cost and sensitivity modeling, salesforce productivity analysis, renewal and retention analytics including cohort decomposition of retention, expansion and cross-sell potential, discount strategy and effectiveness, customer lifecycle and acquisition-to-expansion dynamics, channel and route-to-market efficiency, and opportunity funnel root-cause analysis. The portfolio shifts with business prioritiesContribute to a repeatable diagnostic framework: develop methods, definitions, and analytical patterns that are reusable across questions rather than rebuilt for each oneTranslate quantitative findings into executive-ready narratives and recommendationsDiagnose process and data-quality gaps that distort commercial metrics, and work with process owners to close themAct as a senior technical voice on the team, providing informal guidance to other analysts and representing the analytics function directly with senior stakeholders. Requirement Experience 5+ years in sales operations, revenue operations, GTM or commercial analytics, business operations, or management consulting with a commercial focusDomain fluency in the commercial metric set: quota and attainment, pipeline and coverage, bookings and ACV/TCV, renewals, GRR and NRR, churn, sales productivityApplied use of LLM/Agentic tooling in an analytics workflow, with strong judgment about where it is and is not reliable Quantitative Advanced Excel modeling. Strong SQL. Comfortable with large, imperfect, multi-source datasets Statistical modeling Applied statistical analysis on observational business data: regression, cohort and survival analysis, driver decomposition, sensitivity and scenario modeling. Can state the assumptions a method rests on and what breaks them Methodological range Comfortable selecting across diagnostic techniques rather than applying one. Moves between unfamiliar subject areas without a long ramp, and works productively when priorities shift Code literacy Sufficient working knowledge of Python or R to write, read, audit, adapt, and debug analytical code, including AI-generated code. Authoring speed matters less than the ability to verify what the code actually does Systems CRM data, ideally Salesforce. ERP exposure, ideally SAP Visualization Tableau or Power BI to a production standard Stakeholders Proven record translating analysis into executive decisions. Presents to senior leadership without an intermediary Autonomy Takes a vague or poorly framed question and returns a scoped approach, not a request for specification Preferred Enterprise or industrial software industry background, including indirect and partner channelsSales compensation plan design, modeling, or administrationCausal inference experience on observational data, particularly estimating behavioral response to incentive or policy changesHas built reusable analytical frameworks, metric definitions, or methodological standards, not only delivered individual studiesExperience in an early-stage or newly formed analytics functionSnowflake/dbt or comparable cloud data warehouse Why us? Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Siemens Software. Transform the Everyday with Us #SWSaaS 102,500 184,500 5%