11+ MicroStrategy Intelligence Server Jobs in Bangalore (Bengaluru) | MicroStrategy Intelligence Server Job openings in Bangalore (Bengaluru)

Here is the exciting opportunity to work with one of the top 40 Data and Analytics Company worldwide, as recognized by Gartner.

LinkedIn: InfoCepts: Overview | LinkedIn

Website: https://www.infocepts.com

WFH/WFO/Hybrid (Flexible working mode)

Location: Chennai/Bangalore/Pune/Nagpur

Responsibilities:

• Acting as MicroStrategy expert to advice customers in defining MicroStrategy Roadmap, Security guidelines and MicroStrategy architecture for Complex enterprise systems.
• Working directly with our clients, prospects and partners to deliver high quality business intelligence solutions to our customers
• Working with the management on creating project estimates and resource planning
• Developing and testing detailed functional designs for business solution components and prototypes
• Incorporate best practices and standards in metadata and report/dashboard development

Preferred Background:

• 3+ years of experience on MicroStrategy Desktop, Architect, Web
• Experience on Intelligent Cube Development, Custom widget, visualization development and implementation
• Hands of experience on Project creation, schema objects creation, Development of queries, documents & dashboards with flex based widgets
• Experience using Enterprise manager monitoring, auditing and performance tuning and VLDB settings
• Experience in development & integration which will include setting up configuration management, developing components, peer review, creating unit test plans & performing unit testing

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• Strong experienced Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on B2C or B2B2C Products
• Mandatory (Experience 2) – Must have strong experience in Project Management - Using Jira and other similar tools to manage projects efficiently
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong High-fidelity UI Designs, Interaction models, and Design systems for Large-scale B2C Products
• Mandatory (Company) - Large-Scale B2C Products
• Mandatory (Gender) - Male candidates only

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

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases
• Experience with data pipeline and workflow management tools
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with cross-functional teams in a dynamic environment

• Cross-platform mobile app developers who have developed mobile apps with a familiarity of Ionic/Flutter
• Develop and Manage Mobile Application in Hybrid - Android / iOS Platform
• Mobile app architecture planning
• Mobile app design and optimization, able to provide a solution to improve mobile app quality, understand emerging technologies, standards and best practices to bring mobile app product to the next level
• Continuously discover, evaluate, and implement new technologies and frameworks to maximize development efficiency
• Estimate timelines and deliver as per schedule
• Solid knowledge of mobile app development practices, along with mobile testing tools and techniques
• Expertise in optimizing the app for performance
• Experience using agile principles and methodologies
• Deep understanding of the mobile landscape and behavior patterns is mandatory