Senior Data Analytics Engineer – Hospitality Tech | JobSetuu
Truelogic
Posted 4 दिन पहले • Via jobicy.com
Description
Job Overview
- Source: Jobicy
Job Description
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our Client
Growing digital menu, engagement, and brand activation platform tailored for on-premise hospitality and retail environments. They provide venues with mobile-first experiences, consumer lead capture capabilities, and measurable reporting for brands and campaign partners.
Job Summary
We are seeking a hands-on Data Engineer to design and build the foundational data infrastructure that will power a scalable, automated SaaS reporting system. This critical role focuses on transitioning the platform from manual dashboard creation to a robust reporting pipeline capable of supporting multiple client accounts, venues, and subscription tiers. The ideal candidate is an architectural builder at heart, bringing deep expertise in constructing data warehouses entirely from scratch, establishing ETL processing, and creating reporting-ready datasets that will enable future analysts and client-facing business intelligence tools to thrive.
Responsibilities
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Design and build the reporting data architecture, structuring BigQuery datasets, tables, and views for scalable, multi-account, and multi-venue analytics.
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Build and manage ingestion pipelines from multiple disparate data sources, utilizing APIs, webhooks, scheduled syncs, ETL/ELT tools, or custom scripts.
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Set up and manage data exports from GA4 to BigQuery, establishing clean data relationships across all reporting entities including accounts, venues, campaigns, and subscription tiers.
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Integrate diverse data streams including Google Tag Manager, CMS platforms, email and SMS marketing tools, receipt validation services, and POS systems.
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Create clean SQL models to transform raw behavioral data and business metadata into reusable, reporting-ready tables.
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Prepare foundational data models to power automated dashboards and client-facing analytics for various BI platforms like Looker Studio.
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Establish comprehensive data quality assurance processes, validation checks, and actively monitor pipeline reliability.
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Maintain clear, thorough documentation for schemas, data flows, transformations, reporting logic, and event taxonomies.
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Partner cross-functionally with product and engineering teams to ensure tracking is implemented correctly and to support privacy-conscious data practices.
Qualifications and Job Requirements
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4+ years of professional experience in data engineering, analytics engineering, product analytics, or data analysis.
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Demonstrated, hands-on experience building a data warehouse or reporting database entirely from scratch (this is a mandatory requirement for the role).
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Strong proficiency in SQL and extensive experience structuring and managing BigQuery.
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Proven ability to build, manage, and scale ETL or ELT data pipelines.
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Deep understanding of event-based analytics and direct experience with GA4 to BigQuery exports.
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Expertise in data modeling for analytics and the ability to create reporting-ready datasets for BI tools.
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Experience working with APIs, webhooks, or scheduled data syncs to join data across multiple sources.
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Exceptional documentation, data governance, and data QA habits.
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Experience with Looker Studio, Looker Studio Pro, or other white-label reporting platforms (e.g., AgencyAnalytics, Databox, DashThis) is preferred.
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Familiarity with modern data tools and scripting languages such as Python, Zapier, or Google Cloud Functions is a plus.
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Experience defining GA4 event taxonomies and working with Google Tag Manager is highly advantageous.
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Background in SaaS reporting, client-facing dashboards, or multi-tenant analytics is preferred.
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Familiarity with marketing platforms, CMS tools (like Sanity CMS), marketing automation systems (like Mailchimp), or POS systems is a plus.
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Prior experience in hospitality, retail, CPG, loyalty, rebates, or campaign attribution reporting is a strong plus.
What We Offer
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100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
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Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
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Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
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Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
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Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
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A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
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Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
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Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Expert Career Tips for Senior Data Analytics Engineer – Hospitality Tech Roles
To succeed in a competitive market as a Senior Data Analytics Engineer – Hospitality Tech, you need more than just technical skills. Here are some expert strategies to elevate your profile:
- Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
- Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
- Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Data Analytics Engineer – Hospitality Tech requirements.
- Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
- Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.
Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.
Salary & Compensation
Salary not disclosed; typically competitive for the role.
Work Arrangement
Type: On-Site
Standard business hours at the office.
Comprehensive Application Strategy & Hiring Process
Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:
1. Initial Research & Tailoring
Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.
2. The Perfect Cover Letter
If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.
3. Navigating the Multi-Stage Interview
Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.
4. Post-Interview Follow-Up
Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.
By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.
Typical Interview Process
- Resume screening
- HR call
- Skill interview
- Final manager interview
- Offer
Tip: Research the company's products and culture.
Global Market Intelligence & Relocation Insights
At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:
The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.
Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.
Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.
Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.
Skills & Competency Roadmap for Professional Development
To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:
- Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
- AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
- Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
- Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.
By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.
Apply via JobSetuu
Discover your next career milestone on JobSetuu. This Senior Data Analytics Engineer – Hospitality Tech position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.
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