Job Description: Business Analyst – Data Integrations
Location: Bangalore / Hybrid / Remote
Company: LodgIQ
Industry: Hospitality / SaaS / Machine Learning
About LodgIQ
Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the
travel industry. By leveraging machine learning and artificial intelligence, we enable precise
forecasting and optimized pricing for hotel revenue management. Backed by Highgate
Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a
global presence.
About the Role
We’re looking for a skilled Business Analyst – Data Integrations who can bridge the gap
between business operations and technology teams, ensuring smooth, efficient, and scalable
integrations. If you’re passionate about hospitality tech and enjoy solving complex data
challenges, we’d love to hear from you!
What You’ll Do
Key Responsibilities
Collaborate with vendors to gather requirements for API development and ensure
technical feasibility.
Collect API documentation from vendors; document and explain business logic to
use external data sources effectively.
Access vendor applications to create and validate sample data; ensure the accuracy
and relevance of test datasets.
Translate complex business logic into documentation for developers, ensuring
clarity for successful integration.
Monitor all integration activities and support tickets in Jira, proactively resolving
critical issues.
Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution
viability before broader rollout.
Document onboarding processes and best practices to streamline future
integrations and improve efficiency.
Build, train, and deploy machine learning models for forecasting, pricing, and
optimization, supporting strategic goals.
Drive end-to-end execution of data integration projects, including scoping, planning,
delivery, and stakeholder communication.
Gather and translate business requirements into actionable technical specifications,
liaising with business and technical teams.
Oversee maintenance and enhancement of existing integrations, performing RCA
and resolving integration-related issues.
Document workflows, processes, and best practices for current and future
integration projects.
Continuously monitor system performance and scalability, recommending
improvements to increase efficiency.
Coordinate closely with Operations for onboarding and support, ensuring seamless
handover and issue resolution.
Desired Skills & Qualifications
Strong experience in API integration, data analysis, and documentation.
Familiarity with Jira for ticket management and project workflow.
Hands-on experience with machine learning model development and deployment.
Excellent communication skills for requirement gathering and stakeholder
engagement.
Experience with QA test processes and pilot rollouts.
Proficiency in project management, data workflow documentation, and system
monitoring.
Ability to manage multiple integrations simultaneously and work cross-functionally.
Required Qualifications
Experience: Minimum 4 years in hotel technology or business analytics, preferably
handling data integration or system interoperability projects.
Technical Skills:
Basic proficiency in SQL or database querying.
Familiarity with data integration concepts such as APIs or ETL workflows
(preferred but not mandatory).
Eagerness to learn and adapt to new tools, platforms, and technologies.
Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel
Managers, or RMS.
Project Management: Strong organizational and multitasking abilities.
Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.
Communication: Excellent written and verbal skills to bridge technical and non-
technical discussions.
Attention to Detail: Methodical approach to documentation, testing, and deployment.
Preferred Qualification
Exposure to debugging tools and troubleshooting methodologies.
Familiarity with cloud environments (AWS).
Understanding of data security and privacy considerations in the hospitality industry.
Why LodgIQ?
Join a fast-growing, mission-driven company transforming the future of hospitality.
Work on intellectually challenging problems at the intersection of machine learning,
decision science, and human behavior.
Be part of a high-impact, collaborative team with the autonomy to drive initiatives from
ideation to production.
Competitive salary and performance bonuses.
For more information, visit https://www.lodgiq.com

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Office Location
Navi Mumbai
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The environment at Crediwatch is vibrant and innovative! You will learn and regularly interact with peers who are the best at what they do and will motivate you to be the best version of yourself, technically and professionally.
The Role Expectation
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You will be involved in developing user-facing features using React.js, building reusable components and front-end libraries for future use, and translating designs and wireframes into high-quality code
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You will participate in the overall design and architecture of the application, maintaining quality and ensuring performance and compliance to software standards and guidelines
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Guide and mentor to the team and help them grow in a professional and personal capacity
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You Have
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Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
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Thorough understanding of JavaScript frameworks and browser
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Experience with popular Rearect.js workflows (such as Flux or Redux)
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Experience with utility libraries (e.g., Immutable.js, Lodash, Underscore)
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Familiarity with RESTful APIs
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Knowledge of modern authentication and authorization mechanisms such as Oauth2.0 and SAML2.0 and exchange of claims using JWT tokens
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Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
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Prior experience working in a fast-paced start-up environment.
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At least 2 - 4 years of hands-on development experience
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A bachelor’s or master’s degree in a related field
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Customer Obsession - Consistently listen to customers; test, enhance and improve the customer experience.
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We build innovative technology everyday!
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