• Serve as a strategic advisor and operational partner to Enterprise Operations Insights leadership • Lead annual planning, organizational goal deployment, strategic initiative execution, and business operating rhythms. • Develop governance frameworks, executive communications, performance reporting, and leadership decision support. • Coordinate cross-functional execution of strategic initiatives while managing priorities, dependencies, risks, and organizational alignment. • Provide operational insights and recommendations that improve execution, organizational performance, and business outcomes. • Partner with senior leaders to identify emerging opportunities, remove organizational barriers, and continuously improve execution. • Lead initiatives that improve organizational productivity, scalability, quality, stakeholder experience, and operational maturity. • Define, implement, and continuously improve organizational operating models, governance processes, and standard work. • Establish organizational performance metrics and health indicators to measure execution effectiveness and business impact. • Drive business transformation through process optimization, organizational change management, and adoption of emerging technologies. • Own the strategy, governance, prioritization, roadmap, and lifecycle management of internal analytics capabilities.

Role Description We are looking for a detail-obsessed Product Support Specialist & Data Analyst who thrives at the intersection of product support and data analysis. This role blends hands-on QA/QC of product enhancements, technical documentation, customer support, quantitative analysis, dashboard and reporting design, and research - using both traditional research and AI tools to move faster and more accurately. Key Responsibilities - Quality Assurance & Quality Control (QA/QC) - Build and maintain QA checklists and validation routines that catch errors or configuration drift before they reach the customer. - Investigate data discrepancies, identify root causes, and coordinate fixes with the software engineering team. - Monitor ongoing accounts for anomalies - stale data, broken feeds, or numbers that don't tie out - that could affect data quality or customer trust. - Documentation - Create and maintain clear, repeatable documentation for setup processes, configuration standards, data definitions, and troubleshooting steps. - Keep internal knowledge base current as the product and processes evolve. - Write customer-facing guides and quick-reference materials as needed. - Customer Communication - Serve as a primary point of contact for customer questions - understanding what the customer actually needs and explaining the answer clearly. - Know when and how to escalate an issue, and keep the customer informed. - Translate customer-reported issues into clear, reproducible write-ups for software engineers to investigate and fix. - Customer Setup & Expansion - Help with new customer onboarding: Configure accounts, setup data, validate data connections, and confirm setup meets the customer's goals. - Expand and reconfigure existing customer setups as their needs grow - new data, new use cases, additional users, or additional capabilities. - Partner with Sales to translate customer requirements into technical configuration. - Quantitative Analysis - Apply statistical methods, regression analysis, probability analysis, and simulation - to understand trends, validate data, and explain what the numbers mean. - Use quantitative analysis to sanity-check outputs, identify outliers, and distinguish a real issue from normal variability. - Translate analytical findings into plain-language explanations customers and internal teams can act on. - Data Visualization & Reporting - Design and build dashboards, charts, and reports that turn large or complex datasets into clear, actionable information for managers, executives, and users. - Tailor visualizations and reporting cadence to the audience - including executive summaries and detailed reports. - Ensure dashboards and reports remain accurate as underlying data or configurations change. - Research - Research relevant data, industry benchmarks, and context to support customer questions and internal decision-making. - Use AI tools to accelerate research, summarize findings, draft documentation, and support QA and analytical workflows. - Stay current on relevant data sources, tools, and best practices. Qualifications - 5+ years in customer support, technical support, implementation, or account management, ideally with enterprise/B2B software. - Experience in direct interactions with customers via calls and/or email - fielding questions and issues, explaining answers clearly, and escalating when needed. - Ability to translate a customer-reported issue into a clear, reproducible write-up that a software engineer can understand and address. - Strong attention to detail and comfort with on-going QA/QC work of product functionality and new enhancements. - Resourcefulness - comfortable figuring out an unfamiliar problem, tracking down an answer, and finding a workable path forward without a playbook. - Ability to work independently - can take ownership of a task or account and drive it to completion with minimal oversight, while knowing when to loop others in. - Working knowledge of quantitative/statistical analysis including regression analysis, probability analysis, simulation, and able to apply them to real data. - Demonstrated ability to turn large or messy datasets into clear dashboards, charts, or reports for executives, managers, and users. - Experience writing clear technical and process documentation. - Comfort working in spreadsheets and dashboard/BI tools (e.g., Excel, Tableau, Power BI, or similar). - Strong written and verbal communication skills; able to explain technical and quantitative concepts to non-technical audiences. - Experience using AI tools (e.g., ChatGPT, Claude) to support research, writing, analysis, or QA work. Preferred - Background or coursework in statistics, data science, applied math, economics, or a related quantitative field. - Experience with onboarding/implementation for enterprise software customers. - Experience building dashboards and data visualizations from scratch including reports & charts design. - Experience with tools and/or data sets that manage large data sets and complex data structures. - Familiarity with SQL or basic data querying and extraction tools.

Role Description Join Hire Hangar and work with fast-growing global companies while building a long-term career. Are you passionate about solving real-world problems through data? We’re hiring a Data Analyst to join our growing insights team and help unlock the full potential of our data assets. In this role, you’ll play a key part in collecting, analyzing, and interpreting data that supports key business initiatives. Your work will help teams across the organization make smarter, faster decisions. Key Responsibilities: - Work closely with teams to understand reporting needs and provide actionable insights - Analyze large datasets to identify patterns, trends, and opportunities - Develop and maintain dashboards and reports for various business functions - Assist in A/B testing, customer segmentation, and performance analysis - Ensure data accuracy and quality across reporting workflows Qualifications - 2+ years of experience in a data or analytics role - Proficient in SQL and Excel; Python or R is a plus - Familiarity with data visualization tools (e.g., Power BI, Tableau, Looker) - Strong analytical mindset with attention to detail - Comfortable communicating insights to technical and non-technical stakeholders Benefits - We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Role Description In this role you'll help gather and organize information related to data products which will be used to build business-critical, scalable data processing solutions, and intuitive and trustworthy data products that power data discovery, self-service analytics and drive product innovation. You will be part of a global data community and you will work in cross-functional and agile project teams alongside Data Product Managers, Data Stewards, Data Scientists, Machine Learning Engineers, Data Engineers, and executives to improve the experience of guests and colleagues worldwide. Responsibilities - Support the Data product team in gathering, analyzing and organizing the data product requirements, including but not limited to the functions - Guest, Marketing, Revenue Management, Sales, Loyalty, Finance and Operations. - Develop technical deliverables, review technical documents and provide input to data product plans and milestones. - Analyze and verify requirements for completeness, consistency, comprehensibility, feasibility, and conformity to standards. - Collaborate with Product Managers, Business Stakeholders, Data Engineering/Platform and Data Science teams to execute the Data product roadmaps. - Promote and facilitate the development of self-service capabilities for the business in the access and reporting of business information. - Provide inputs to define, implement, and consistently exercise information management best practices across the organization. Identify and implement industry best practices. Ensure data integrity of all systems. Qualifications - Strong team player with 8+ years of proven experience in business and technical requirements analysis, documenting business use cases, verification and drafting data & BI requirements. - Ability to effectively prioritize and execute tasks with strong customer service orientation. - Strong experience with MS Word, Excel and Powerpoint. - SQL experience strongly preferred. - Strong quantitative, analytical, critical-thinking and problem-solving skills. - Strong work ethic and personal integrity; self-directed and self-motivated with a highly developed curiosity and willingness to learn and to teach. - Excellent verbal and written communication skills as well as interpersonal and influencing skills. - Proven ability to influence and work with cross-functional teams. Significant skill required to work effectively across internal functional areas in situations where clear parameters may not exist. - Experience with hospitality industry a plus. - Experience with IDeaS Revenue Management system is a plus. - Experience working in a cloud data warehouse / BI project environment a plus. - Familiarity with data visualization and design. Requirements - Highly prefer individuals who have prior experience with Sabre SynXis Hospitality solution, its APIs and warehouse data. - Experience working with Snowflake database is preferred. - Experience working in an Agile environment and creating user stories. - Experience working with tools - JIRA, Confluence and Service Now. Education - Bachelor's degree or equivalent work experience.