Principal Commercial Analyst

Principal Product Analyst

Tripadvisor

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making.   What You will do: * Working as one of the  leaders within the Product Analytics team and closely with the Product Pod, you will be the lead analyst responsible for driving improvement in the product, through data, analytics and insight. * Lead on Experimentation and AB Testing as a key element of the role, where you will run the analysis for any tests, using our in house system and mentor others. * Product Analytics at Viator is about finding opportunities to improve customer experience, this is through many aspects but would include Funnel, Feature and Cohort Analysis. * It's also about Realising those opportunities, working with the Product Pod to provide insight that drives change, either through AB Testing or Release.  * In supporting the Objectives and Key Results we’re looking to drive, you will play a key role in creating reporting, analytics and insight views, that help the team to understand the product, the customer and commercial performance, whilst guiding others to do the same. * Talking about the customer, we’re not just talking about one group, so segmentation, cohorts and customer understanding are at the heart of the role.    Skills & Experience: * Significant Experience in a related analytical role, (ideal background may include Product Analyst, Data Science - Product, CRO, Digital Analytics, or Experimentation Analyst) * Education: Bachelor's Degree in an analytical field (maths, economics, engineering, statistics, computer science etc) * Skills - Advanced SQL, AB Testing / Experimentation, Tableau/Looker, Excel etc * Proactive - ability to lead the analytics discussions , driving change, shaping approach * Knowledge - ideally you will have knowledge of and worked in a Product Analytics or similar role, covering AB Testing, Conversion Optimisation, Funnel and Feature Analysis * Customer Focus - having a passion for customer understanding and their experience, you will have experience of Segmentation and Cohort Analysis.  * Collaboration - Your previous experience will have given the opportunity to work with Product, Engineering, Design etc, as part of a Product Approach.  * Critical Thinking - Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Leadership - You demonstrate the best approach to analytical problems, applying critical thinking, you lead others by example in executing best practices     We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!         #LI-Remote #LI-SM1

Principal Data Analyst, Enterprise Data Solutions

Cargurus

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus is building Enterprise Data Solutions (EDS), a new customer facing solution that packages data and analytics based on CarGurus core assets. Our objective is to leverage our differentiated marketplace data (Search Trends, Price Trends, Inventory Trends, and a growing portfolio of derived signals) to develop governed, exportable datasets for OEMs, lenders, insurers, investors, agencies, and consultants. This role spans the full lifecycle of an Enterprise Data asset, from creation through productization. You will both build the underlying data assets (modeling, aggregation, quality) and shape them into externally consumable products (schema, delivery, documentation, SLAs, customer feedback). It blends product management discipline with hands-on data analytics ownership, ensuring every asset we deliver is credible, governed, repeatable, and customer-ready from day one.This is a 0-to-1 builder role. The successful candidate will translate an inbound demand signal or commercial hypothesis into a production-ready data product, defining the schema, delivery mechanism, documentation, SLAs, and feedback loop, and partner with Strategy, Engineering, Product, Data Science, Legal, and GTM to bring it to market. What you'll do * Own the end-to-end definition of EDS data products, starting with Search Trends, Price Trends, and Inventory Trends, and extending into the broader EDS portfolio (e.g., Market Days Supply, Demand Relative to Supply, Estimated Retail Sales). * Translate inbound customer signals and commercial hypotheses into clearly scoped data products: row/column structure, granularity, historical depth, refresh cadence, aggregation standards, and governance posture. * Productionalize a controlled set of exportable datasets that are repeatable, governed, and exportable in a manner that meets external SLAs and data-quality standards. * Lead product-level design sessions to define MVP scope, delivery approach (Snowflake share, SFTP, API), and required engineering investment. * Define and document customer-facing artifacts: data dictionaries, sample assets, schema documentation, and use-case framing for each asset. * Conceive of new data assets and prototype them via automated transformations (primarily using DBT). Partner with Data Engineering teams to optimize, integrate, and distill raw logs and metadata, advancing the company’s core data architecture and modeling . Draw upon prior experience with expansive, unrefined datasets (e.g., user * clickstream data) to fix modeling bottlenecks in quick, scalable, outside-of-the-box ways. * Partner with Engineering to specify operational stability requirements, expected SLAs, support coverage, monitoring, and incident response, for assets being consumed externally. * In partnership with the broader Data team, establish the standards and templates for how a CarGurus data asset becomes a saleable EDS product: readiness criteria, governance review, pricing/packaging input, and handoff to GTM. * Define and operate the customer feedback loop, capturing signals from sales conversations and pilot customers and translating it into asset evolution, packaging changes, and roadmap inputs. * In partnership with the broader Data team, build a productization framework that can be extended across the broader monetization portfolio so that learnings, standards, and shared assets are reused, not duplicated. What you'll bring * 6+ years of experience in Data Analytics, Data Product Management, Analytics Engineering, or a hybrid role combining data architecture with product ownership. * Demonstrated experience taking a data asset from concept to externally consumable product, including schema design, documentation, governance, and delivery via at least one of: Snowflake data share, SFTP, or API. * Strong product instincts: ability to define scope, make tradeoffs, set readiness criteria, and own a roadmap, not just execute against requirements. * Deep SQL fluency and working knowledge of modern data stack tooling (dbt, Snowflake, Looker/Omni, Snowplow or equivalent event infrastructure). * Track record of operating in a cross-functional environment, partnering with Engineering, Strategy, Legal, and GTM stakeholders, and driving alignment across senior leaders. * Comfort with ambiguity; ability to set direction in a 0-to-1 environment where standards and templates do not yet exist. * A natural thought leader with a proven track record of influencing business strategy * Experience leveraging Gen AI to optimize workflows, create tooling, and otherwise enhance your ability to execute * Deep understanding of and experience using analytical concepts and statistical techniques in the following areas: hypothesis testing, building advanced python scripts to automate rigorous statistical analyses, invoking/understanding parametric and nonparametric regression techniques, and more * Experience engaging directly with end customers or customer-facing teams to gather real-world product feedback, translate user needs into analytical requirements, and refine data assets based on how they are actually consumed * Experience launching or scaling a commercial data product, data marketplace listing, or external data-sharing relationship is preferred. * Familiarity with Snowflake Marketplace, data clean rooms, and external data delivery patterns is preferred. * Exposure to automotive, marketplace, or B2B SaaS data domains is preferred. * Experience defining SLAs, monitoring frameworks, and operational support models for externally consumed data is preferred. * Preferred tools/programs: Snowflake, Snowplow, DBT, Python, Looker/LookML, Jira, Google/MS suite, Omni. The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $148,000—$185,000 USD Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

Senior System Analyst (Mekari Officeless)

Unknown Employer

Mekari is Indonesia's no. 1 Software-as-a-Service (SaaS) company. With our ecosystem of software solutions—including Mekari Jurnal, Mekari Talenta, Mekari Qontak, and Mekari Flex, we aim to facilitate entrepreneurs and leaders as they accelerate the digital transformation of their businesses. In our 10+ years of journey we have reached over 1 Million platform users, and we're not planning to stop any time soon. We need more people like you: builders and owners with calculated ambition who are ready to #ElevateThroughImpact and raise Indonesia's software standard. Position Overview We are searching for an exceptional Senior System Analyst to lead end-to-end analysis, solution design, and technical delivery on our ecosystem. In this role, you will act as the principal functional authority, bridging complex client workflows with enterprise low-code capabilities. You will lead multi-stakeholder workshops, design scalable data structures, architect multi-system integrations, and mentor engineering and analysis teams. * Employment Type: Full-Time * Experience Level: Senior (4–7 years overall System/Business Analysis experience, with 2+ years in SaaS / Enterprise software delivery / Consulting / Financial Services background)  Key Responsibilities by Project Stage * Project Initiation: Conduct critical reviews of Solution Architect handovers (SDD, BRD, SOW, Tech Proposals); challenge scope boundaries, spot commercial ambiguities or delivery risks, and formally raise precise clarification items. * Requirement Gathering: Lead high-stakes discovery workshops with senior client users; manage conflicting requirements, ensure deep coverage of exception flows/edge cases, and deliver comprehensive Requirement Gathering Notes within 3 business days. Validate architectural feasibility prior to discovery closure. * Analysis & Solution Design: Independently architect end-to-end solutions; proactively identify platform bottlenecks, design robust workarounds, and document them comprehensively within the Functional Specification Document (FSD). * Cross-Team Alignment: Drive functional cross-functional alignment sessions with Software Engineers (SE), QA, and PMs. Mitigate data schema conflicts, map the Requirements Traceability Matrix (RTM) from end to end, and provide authoritative effort estimates for Change Requests (CR). * Act as Layer 2 support during maintenance periods to rapidly classify production incidents as configuration errors, design gaps, or valid CRs. * Create clear end-user documentation and verify that all technical artifacts (FSD, RTM, API specifications, content sheets) are version-controlled and systematically archived. * Provide day-to-day expertise-driven mentoring to L1 System Analysts on solution design, platform logic, and complex integrations. Required Technical Qualifications & Competencies * Analysis & Specification Mastery: Expert-level capability in requirements engineering, functional specification development, business process analysis, and core SDLC models. * Low-Code/No-Code Expertise: Expert-level understanding of platform capabilities, modules, configuration logic, and constraints to independently architect solutions and document functional workarounds. * Advanced Diagram Tooling: Expert user of professional visualization software to independently produce complex integration architectures, multi-system flow maps, data flow diagrams (DFDs), and detailed Entity-Relationship Diagrams (ERDs). * Database & Data Modeling: Highly proficient data modeler; expert in designing data schemas, identifying data types, defining field constraints, and writing verified SQL queries to validate backend system requirements. * System Integration Architecture: Comprehensive knowledge of integration patterns. Proven capability independently structuring API sequences, designing REST/SOAP endpoints, detailing webhooks, configuring file exchanges, and establishing SSO/SAML authorization paths. * UI/UX Design Awareness: Proficient with wireframing and prototyping tools (e.g., Figma, Balsamiq) to build clean visual flows and mockups within FSDs, ensuring designs map correctly to functional capabilities * Problem Solving & Communication: Superior structured thinking to break down complex, multi-stakeholder scenarios into logical resolutions. Confident verbal and written communication style when presenting to client management or steering committees. Preferred Qualifications * Active professional certifications like CBAP (Certified Business Analysis Professional) or TOGAF (The Open Group Architecture Framework). * Prior technical analysis experience handling multi-module systems, core operational software, or enterprise workflow automation platforms within any of the following targeted industries: * Financial Services & Banking: Core banking platforms, corporate lending systems, or transaction integration hubs. * Manufacturing, FMCG & Mining: Enterprise Resource Planning (ERP), supply chain management (SCM), or distribution logistics platforms. * Gadai & Gadai Efek (Pawn & Securities-Backed Financing): Credit appraisal tools, loan management platforms, asset evaluation mechanisms, or scriptless security settlement frameworks. Our team will review your application and will be in touch if your application is shortlisted to the next stage. If you do not hear from us in 30 days, we will keep your resume on file in case a relevant opportunity opens up.   Don't forget to check our Recruitment FAQ at https://bit.ly/FAQMekariRecruitment [https://bit.ly/FAQMekariRecruitment][ENG] or https://bit.ly/FAQRekrutmenMekari [https://bit.ly/FAQRekrutmenMekari][INA] to find the answers to commonly-asked questions regarding our recruitment process. We wish you the best. Hope to see you around soon!