Job Closed

This listing is no longer active.

Levi Strauss & Co. logo
Levi Strauss & Co.

A Fortune 500 company lauded for its ethics, innovation, and employment practices, Levi Strauss & Co. has been named one of the World's Most Reputable Companies

Manager, Data Enablement

Location

United States

Posted

80 days ago

Salary

$112K - $164K / year

Seniority

Lead

Job Description

Manager, Data Enablement

Levi Strauss & Co.

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.

Job Requirements

  • 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.

Benefits

  • 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.
  • 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.

Related Categories

Related Job Pages

More Analytics Engineer Jobs

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
Turnitin logo

Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Turnitin

Turnitin is a global software development company in the education sector working to ensure the integrity of education and research, and to meaningfully improve learning outcomes.

Company Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Job Description The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders. We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact. Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem. Key Responsibilities and Outputs - Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth. - Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse. - Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact. - AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring. - RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau. Proven Characteristics for Success - The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota. - Impact-Focused: You don't just deliver data; you deliver the "so what?" - AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows. - Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code. Qualifications Essential - Experience: 2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role. - dbt Expertise: Proven experience building and maintaining production-grade data models using dbt. - Orchestration Tools: Hands-on experience with Dagster or Airflow. - SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery). - BI Visualization: Experience building stakeholder-facing dashboards in Tableau. - CRM Knowledge: Familiarity with Salesforce data structures. Preferred - Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt). - AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker). - Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server. - Data Modeling: Salesforce-specific data modeling experience. - Big Data: Experience dealing with large (+1M rows) customer engagement datasets. Additional Information The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. - Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do. - Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe. - Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors. - Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard. - One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes. - Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world. Global Benefits - Remote First Culture - Health Care Coverage - Education Reimbursement*Competitive Paid Time Off - Self-Care Days - National Holidays - 2 Founder Days + Juneteenth Observed - Paid Volunteer Time Off - Charitable Contribution Match - Monthly Wellness or Home Office Reimbursement - Access to Employee Assistance Program (mental health platform) - Parental Leave - Retirement Plan with match/contribution Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team! Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

United States
$84.2K - $140K / year