Job Closed

This listing is no longer active.

Airalo logo
Airalo

World’s first eSIM store that gives you access to eSIMs for 200+ countries worldwide at affordable prices.

Senior Analytics Engineer, Pricing

Analytics EngineerAnalytics EngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Spain

Posted

66 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAirflowBigQueryPythonSQL

Job Description

Senior Analytics Engineer, Pricing

Airalo

• Build and own package-level unit economics data models that surface margin contribution, breakage rates, cost dynamics, and profitability across markets, corridors, and packages • Develop the analytical scaffolding for structured pricing reviews: margin waterfalls, competitive positioning dashboards, demand signal reporting, and conversion sensitivity analysis • Integrate competitive pricing data (scraped and third-party) into structured, queryable models that power automated benchmarking and price distance analysis across priority markets • Build and codify the data inputs that power our pricing decision framework—elasticity indicators, corridor-level competitive intensity, segment performance—enabling structured trade-offs between growth, margin protection, and competitive response • Own the semantic layer and metrics definitions for pricing and commercial domains, ensuring consistency and trust across Lightdash, downstream tools, and self-service analytics • Write Python-based tooling that goes beyond transformation: simulation models, scenario analyses, pricing rule engines, and automated competitive monitoring scripts • Design measurement-ready datasets that support A/B testing, controlled pricing pilots, and experimentation infrastructure as we build our capabilities for predictive pricing • Collaborate with data engineers to scale ELT workflows and improve CDR digestion pipelines, ensuring freshness, reliability, and full coverage for pricing-critical reporting • Partner with the Commercial Pricing Lead, Networks, Finance, and Growth to translate pricing strategy into data products, and ensure cross-functional stakeholders can independently explore and act on the models you build • Implement robust testing, documentation, and monitoring—you’re the steward of data quality in a domain where bad data means bad pricing decisions at scale

Job Requirements

  • Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or similar)
  • 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities
  • Minimum 2–3 years of direct experience working with pricing—whether in pricing analytics, commercial pricing, revenue optimization, or building pricing data infrastructure in telecom, SaaS, fintech, or marketplace environments
  • Proficient in Python for data transformation, analytical tooling, and automation (not just notebooks—you can build production-quality scripts and pipelines)
  • Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models—ideally in domains involving transactional data, cost structures, or commercial metrics
  • Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation
  • Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar)
  • Experience working with modern BI platforms and semantic layers—Lightdash experience is a strong plus
  • Experience with self-service analytics and empowering non-technical stakeholders to explore data independently
  • Strong communication skills, with the ability to explain complex data concepts to diverse audiences
  • Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production

Benefits

  • remote work
  • generous PTO
  • wellness and learning allowances
  • annual Airalo Away retreat

Related Categories

Related Job Pages

More Analytics Engineer Jobs

Zensar logo

Snowflake Data Engineer

Zensar

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Full TimeRemoteTeam 10,001

Role Description We are looking for an experienced Snowflake Data Engineer with strong expertise in data warehousing, data pipelines, and cloud-based data platforms. The candidate should have hands-on experience in Snowflake, SQL, ETL/ELT development, and cloud environments such as AWS/Azure. The role involves designing scalable data pipelines, optimizing Snowflake workloads, and enabling analytics solutions. - Design, develop, and maintain data pipelines and ETL/ELT processes using Snowflake. - Build and optimize data models and data warehouses in Snowflake. - Develop efficient SQL queries, stored procedures, and transformations. - Implement data ingestion pipelines from multiple sources such as APIs, databases, and files. - Work with cloud platforms (AWS/Azure/GCP) for data integration and storage. - Optimize Snowflake performance, clustering, and query tuning. - Implement data security, role-based access control (RBAC), and governance in Snowflake. - Collaborate with data analysts, BI teams, and business stakeholders to support reporting and analytics. - Ensure data quality, monitoring, and pipeline reliability. - Follow best practices for data architecture, version control, and CI/CD. Qualifications - Strong experience in Snowflake Data Warehouse. - Expertise in SQL and query optimization. - Hands-on experience with ETL/ELT tools such as Informatica, DBT, Matillion, Talend, Azure Data Factory. - Experience in data modeling (Star Schema, Snowflake Schema, Dimensional Modeling). - Knowledge of data ingestion techniques (Batch & Streaming). - Experience with cloud platforms (AWS, Azure, or GCP). - Familiarity with Python or scripting for automation. - Experience with Git, CI/CD pipelines, and DevOps practices. Preferred Skills - Experience with Snowflake features: Snowpipe, Streams & Tasks, Time Travel, Data Sharing. - Knowledge of data lake architectures. - Experience with BI tools such as Power BI, Tableau, or Looker. - Understanding of data governance and data quality frameworks. Education - Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related field.

Worldwide
Globaldev Group logo

Snowflake Architect

Globaldev Group

Building remote teams and providing software development solutions for tech businesses 🇺🇸🇮🇱🇩🇪🇺🇦🇵🇹🇵🇱

Full TimeRemoteTeam 201-500Since 12 yearsH1B No Sponsor

We are looking for an experienced Snowflake Architect to lead the design and evolution of scalable, secure, and business-aligned data platforms and architectures that enable data-driven decision-making across the organization. Responsibilities: - Develop and maintain the data & analytic architecture strategy, reference architecture, and roadmaps, aligning data architecture with the overall business strategy and objectives. Conduct data capability assessments and build maturity improvement roadmaps. - Ensure data architecture aligns with data governance policies, standards, and regulatory requirements, while implementing data security and secure access controls. - Own the Data Platform architecture, ensuring its scalability, security, and cost-effectiveness. - To build a data-driven organisation, ensure proper service model architecture to streamline demand fulfilment and incident management. - Design and implement efficient data pipelines, leveraging vital platform components, with industry standards and best practices. - Engage with and influence senior stakeholders to drive data-led operations, translating business needs into technical requirements. - Evaluate and recommend tools, technologies, and frameworks that enhance data architecture capabilities. - Work closely with cross-functional teams to define technical requirements and project scope that align with product goals and business objectives. - Implement automated code review mechanisms to enhance development efficiency and maintain high-quality standards. - Provide technical leadership and mentoring to data engineers, developers, and analysts while leading and developing architecture teams. Guide data teams, conduct knowledge-sharing sessions, and stay updated with emerging data technologies. - Leverage TOGAF’s four architecture domains (Business, Data, Application, and Technology) to design and optimize enterprise-wide data solutions. Requirements: - Proven track record in establishing modernise data platform from ground up. - Expertise in any of the cloud-based data platform SnowFlake, Azure, Power BI, and dev-ops. Clear understanding and implementation capability of Enterprise Architecture Framework like TOGAF or similar. - Hands-on experience in data modelling, data lakes, data warehousing, and ETL pipelines. Experience in performance management dashboards, complexity estimation frameworks, and optimization techniques. - Ability to effective communication with senior leadership (CXOs, Data Heads, Other business heads) and drive enterprise-wide data initiatives. TOGAF certification (preferred) or equivalent experience in enterprise architecture methodologies. What we offer: - Comfortable environment, challenging tasks and a long-term interesting project; - Working with top notch equipment; - Bookkeeping by a professional accountant; - Help and support from our caring HR-team;

Romania
Job Closed
Zoetis logo

Lead Analyst, US Petcare Promotion Analytics

Zoetis

Nurturing our world and humankind by advancing care for animals

Full TimeHybridTeam 10,001+Since 1952H1B Sponsor

Title: Lead Analyst, US Petcare Promotion Analytics Location: Parsippany United States Job Description: SUMMARY Establish rigorous promotional analytics for the U.S. Companion Animal portfolio. Define KPIs and hypotheses pre-launch, ensure GTN-aligned designs and guardrails, measure incremental impact with appropriate methods, and deliver insights that improve share, trial, compliance, and price realization. POSITION RESPONSIBILITIES - Translate marketing objectives into measurable KPIs and testable hypotheses; ensure GTN promo strategy aligns with pricing guardrails and value narrative; advise on stacking risk. - Maintain portfolio GTN merchandising calendar; de-conflict promotions; validate intake completeness; coordinate approvals and execution readiness. - Collaborate with Business Analytics team to direct data assembly and analysis; apply experimental or quasi-experimental methods to isolate incremental impact; quantify outcomes beyond ROI (volume, share, placements, retention, mix). - Maintain promo playbook, guardrails, KPI standards, and reporting cadence; partner with Data & Analytics on dashboards; educate stakeholders. ORGANIZATIONAL RELATIONSHIPS - Reports to: Senior Manager, U.S. Petcare Pricing & Promotions. - Partners: Marketing/Brand, Sales/Key Accounts, Pricing Strategy, Finance, Customer Operations/Trade, Legal/Compliance, Data & Analytics. EDUCATION AND EXPERIENCE REQUIREMENTS - Bachelor's in Business, Economics, Statistics, Analytics, Finance, Engineering, or related. Advance degree preferred. - 6+ years in commercial analytics, pricing/promotion analytics, revenue management, or similar roles in life sciences/regulated B2B; demonstrated KPI design and measurement methodology expertise. TECHNICAL SKILLS REQUIREMENTS - Strong quantitative skills; proficiency in SQL, Excel, BI tools; excellent communication and stakeholder influence. PHYSICAL SKILLS REQURIEMENTS - Office based position - Parsippany preferred - Hybrid role The US base salary range for this full-time position is $103,000 - $148,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. This position is also eligible for short-term incentive compensation This position is also eligible for long-term incentives In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation. Visit zoetisbenefits.com to learn more. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

New Jersey
$103K - $148K / year
Job Closed
Transcat logo

Analytical Engineer

Transcat

Comprehensive Solutions Tailored to Your Business Goals

OtherRemoteTeam 501-1,000H1B No Sponsor

Support key life sciences clients by performing preventive maintenance on laboratory equipment, troubleshooting issues, executing validation activities, and ensuring compliance with GMP/FDA standards while maintaining professionalism and customer...

South Carolina