TGS logo
TGS

Energy Starts With Us

Digital Analytics Engineer – Contractor, Freelancer

Analytics EngineerAnalytics EngineerContractRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Argentina

Posted

71 days ago

Salary

0

Seniority

Senior

Job Description

Digital Analytics Engineer – Contractor, Freelancer

TGS

• Play a critical role in the design, implementation, and delivery of modern digital measurement and data solutions for our customers • Focus on implementing and managing digital analytics platforms, event tracking frameworks, customer data platforms, and data pipelines • Work closely with marketing teams, engineers, and data stakeholders to ensure reliable, scalable, and accurate data collection across web and mobile platforms • Translate business and marketing requirements into scalable tracking and measurement architectures • Communicate technical measurement concepts clearly to both technical teams and marketing stakeholders

Job Requirements

  • Professional experience implementing digital analytics platforms such as Google Analytics 4 and/or Adobe Analytics
  • Strong Experience working with Adobe Experience Platform Web SDK, Adobe Launch, Adobe Data Collection, or Google Tag Manager (web and server-side)
  • Experience designing and implementing data layers and event tracking frameworks
  • Experience working with SQL and data warehouses such as BigQuery, Snowflake, or Redshift
  • Excellent verbal and written communication skills
  • Experience integrating analytics and marketing data into data warehouses and BI tools
  • Experience building analytics data pipelines and transformations using tools such as dbt or similar frameworks
  • Familiarity with Customer Data Platforms (CDPs) such as RudderStack, Segment, mParticle, or Tealium
  • Familiarity with identity stitching and user identity frameworks across web, mobile, and backend systems
  • Experience working in the Digital Commerce domain, including tracking shopping cart, checkout flows, and conversion funnels
  • Experience with cloud platforms such as Google Cloud Platform, AWS, or Azure
  • Experience with Mobile Measurement Platforms (MMPs) such as AppsFlyer, Adjust, Branch, Kochava, or Singular

Benefits

  • Health insurance
  • Flexible work arrangements

Related Categories

Related Job Pages

More Analytics Engineer Jobs

OtherRemoteTeam 10,001+Since 1873H1B No Sponsor

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future. The Manager, Data Enablement leader owns the US DTC regional analytics data layer and reporting platform, being the bridge between the global data engineering organization (ARC) and US regional analytics teams. You will ensure global data products are usable, trusted, and scalable for regional reporting and analysis, while enabling a robust self-service analytics environment. You will combine data product integration, analytics engineering, BI platform governance, and technical enablement to support high-quality analytics and decision-making. About the Job Analytics Semantic Layer Ownership - Build the regional analytics layer that enables consistent reporting and scalable self-service - Develop and maintain the semantic layer on top of global data products - Create standardized datasets/models that advanced analytics use cases, reporting consistency across dashboards, self-service by business users, and AI integration - Manage transitional data pipelines and datasets before they are productionized by global data engineering Data Product Integration & Engineering Partnership - Be the primary regional interface to the global data engineering organization (ARC) - Lead QA and UAT processes for global data products used by the regional analytics team - Translate analytics needs into technical requirements and specifications for global data engineering - Advocate for regional priorities and ensure issues are properly triaged and prioritized within global engineering roadmaps - Manage major bug tracking and issue resolution workflows related to data products - Ensure successful adoption of new data platforms and architecture changes BI Platform Governance & Reporting Oversight - Ensure consistency, performance, and reliability across the regional reporting ecosystem - Establish query performance and development standards - Ensure regional definition alignment and source consistency across reporting; collaborate with global alignment workstreams - Coordinate reporting infrastructure changes affecting large sets of dashboards - Investigate and debug data or reporting issues across the BI environment - Implement minor reporting updates and improvements when needed - Coordinate with platform teams such as BI infrastructure, IT, and data engineering Technical Enablement for the Analytics Team - Build the analytics tools, infrastructure, and processes that allow the analytics team to work efficiently - Maintain and govern the analytics team's technical workspace (e.g., BigQuery/GCP, GitHub environments) - Establish development processes, repository structures, and code review standards - Maintain development tables and experimental pipelines before engineering productionization - Develop lightweight tools and technical solutions to support workflows About You - Technical languages: advanced SQL + Python; LookML - 5-10 years experience which includes the following: - Development of scalable data models utilizing SQL/Python; experience with data automation and transformation utilizing Python - Designing semantic layers, dimensional models, and datasets - Working with modern cloud data solutions and architecture (BigQuery preferred) including understanding of data architecture - Owning analytics orchestration tools (e.g. GitHub) - Developing within BI tools (Tableau & Looker Core) - Owning data governance and quality, including creating data quality frameworks, testing/UAT/QA processes, and metric alignment - Creating and managing self-service analytics environments, including reusable datasets for business users - AI experience (especially within BI) The expected starting salary range for this role is $112,000 - $164,200 per year. We may ultimately pay more or less than the posted range based on the location of the role. The amount a particular employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance and business needs. Levi Strauss & Co. (LS&Co.) offers a total rewards package that includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. Read more about our benefits here. LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success. #LI-remote EOE M/F/Disability/Vets LOCATION US-WAM-CORP FULL TIME/PART TIME Full time FILL DATE This position is expected to be filled by 06/16/2026.Current LS&Co Employees, apply via your Workday account.

United States
$112K - $164K / year
Job Closed

Analytics Architect

Accenture

Accenture Federal Services, a division of Accenture, provides technology and consulting services to U.S. federal agencies, delivering solutions that enhance per

Role Description Join Accenture Federal Services to drive positive, lasting change that moves missions and the government forward! - Architect and design databases, applications, and backend services - Develop and secure internal APIs, ETL processes, and integrations with external APIs - Lead DevOps processes, including build and release pipelines - Ensure robust data security across authentication, authorization, and access control layers - Apply data science expertise to guide model selection, implementation tradeoffs, and AI integration - Produce clear and comprehensive technical documentation - Communicate architectural decisions and rationale to client stakeholders and IT leadership - Deliver end‑to‑end solutions from design through deployment Qualifications - Experience with Dataverse and/or Power Platform - Experience with API/ETL development using Power Automate, Python, and/or Azure Data Factory - Security experience with roles, API authentication, and/or Entra ID - Experience with Analytics and AI tools (AI Builder, Azure OpenAI, and/or Azure AI Search) - CI/CD expertise in Azure DevOps - Understanding of data science fundamentals - Secret clearance required - US Citizenship Requirements - Preferred experience in delivering full solutions within consulting or client‑facing environments - Familiarity with broader Power Platform solution design and lifecycle management Benefits - Wide variety of benefits offered Compensation The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $100,200 — $203,400 USD

United States
$100.2K - $203.4K / year
Lean Layer logo

RevOps Analytics Engineer

Lean Layer

Proud to be G2's #1 Rated RevOps Service. Flexible month-to-month fractional RevOps & BI support.

OtherRemoteTeam 11-50Since 2019H1B No Sponsor

• Design and maintain datasets and table structures • Manage warehouse performance, partitioning, clustering, and cost optimization • Maintain access controls and permissions • Structure warehouse schemas to support revenue analytics and reporting • Build and maintain ETL / ELT pipelines from revenue systems into the warehouse • Integrate data from systems such as HubSpot, Salesforce, marketing and sales analytics platforms, sales engagement platforms, billing systems, and product analytics tools • Monitor pipeline health and resolve failures • Manage schema changes from upstream systems • Ensure reliable and timely data synchronization • Manage GitHub repositories • Design and maintain analytics-ready data models • Build models for accounts, contacts, opportunities, and pipeline data • Maintain tables and models used by BI tools such as Looker • Optimize queries and support derived tables used in reporting • Ensure consistent metric definitions across reporting layers • Dashboard creation for data validation • Implement data validation and testing • Monitor pipeline health and data freshness • Identify and resolve data inconsistencies • Maintain documentation for warehouse models and data definitions

United States
$40K - $120K / year
Airbnb logo

Senior Manager, Advanced Analytics

Airbnb

Airbnb is a community based on connection and belonging.

OtherRemoteTeam 5,001-10,000Since 2007H1B Sponsor

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Senior Manager for Advanced Analytics to provide critical support in growing high-quality supply and guest engagement. This role will directly report to the Director of Advanced Analytics and work closely with senior stakeholders across multiple cross-functional teams. The Senior Manager will lead an innovative team focused on delivering data-driven insights and building tools for effective management of the marketplace dynamics. The ideal candidate will possess a unique blend of business acumen and data science expertise. A Typical Day: - Lead and develop a high-performing geographically distributed team, fostering a culture of innovation, agility, growth, and collaboration. - Drive crafts and analytical excellence on advanced data analysis, statistical modeling, experimentation, and metric frameworks. - Serve as a key analytics partner to the senior stakeholders, providing data-driven insights to guide key strategic decisions. Ensure clarity of communication and strategic alignment on analytics initiatives. - Collaborate with teams including Strategic Finance, Data Engineering, Data Science, and Product Marketing in addition to other cross-functional teams. - Develop meaningful metrics and KPIs to quantify the performance of key business initiatives Your Expertise: - A minimum of 10 years experience in advanced analytics, preferably in marketplace and/or travel industries with at least 4 years in people management roles - Experience in leading and motivating a geographically distributed team. - Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs. - Robust business acumen, strategic thinking skills, and the ability to make informed judgments - Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner. - Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions. - An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact. - A quantitative undergraduate degree is required; an advanced degree (MBA or equivalent) is highly preferred. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $208,000—$260,000 USD

United States
$208K - $260K / year