11+ SAP BEx Analyzer Jobs in Bangalore (Bengaluru) | SAP BEx Analyzer Job openings in Bangalore (Bengaluru)

Job Summary:

We are looking for experienced SAP BW Consultants with a minimum of 5 years of relevant experience to support BW landscape analysis, dependency mapping, complexity assessment, and effort estimation activities. The ideal candidate should possess strong expertise in SAP BW architecture, data modeling, reporting structures, and end-to-end data flow analysis.

Key Responsibilities:

• Analyze and review SAP BW objects including DSOs, Advanced DSOs, InfoCubes, InfoObjects, PSA, Transformations, Data Transfer Processes (DTPs), InfoSets, CompositeProviders, MultiProviders, Views, BEx Queries, and Process Chains.

• Validate scope inventory and assess the completeness and accuracy of BW components.

• Map high-level Source → BW → Reporting data flows and document dependencies.

• Identify technical gaps, inconsistencies, and optimization opportunities within the BW environment.

• Perform dataset dependency analysis and support impact assessment activities.

• Contribute to complexity scoring and provide inputs for effort estimation.

• Collaborate with business stakeholders, functional teams, and technical teams to gather and validate requirements.

• Prepare technical documentation, assessment reports, and findings.

Required Skills:

• Minimum 5 years of hands-on experience in SAP BW/BI.

• Strong knowledge of SAP BW architecture, data modeling, and reporting frameworks.

• Experience working with InfoProviders, Transformations, DTPs, Process Chains, and BEx reporting.

• Ability to analyze end-to-end data flows and dependencies.

• Strong analytical, troubleshooting, and documentation skills.

• Experience in system assessment, migration, upgrade, or transformation projects will be an added advantage.

• Excellent communication and stakeholder management skills.

Preferred:

• Experience with SAP BW on HANA.

• Exposure to SAP Analytics, reporting tools, or data migration projects.

• Ability to work independently in a fast-paced environment.

Senior Data Scientist (ML) – 5+ Years

Required Skills:

• 5+ years of experience in Data Science/ML
• Strong knowledge of Probability & Statistics
• Strong educational background in Statistics or Mathematics (degree/course specialization). 
• Good understanding of core Machine Learning algorithms
• Proficiency in Python, PySpark, and SQL
• Experience with Databricks, Azure ML, SageMaker, or Vertex AI
• Hands-on experience in Natural Language Processing (NLP)
• Understanding of Transformer-based models and architectures
• Ability to build, deploy, and optimize ML solutions at scale

Requirements

• Design and implement a full-stack web application using Python Django framework and ReactJS.
• 1+ years of experience in building and deploying web applications.
• Experience in designing and using RESTful APIs.
• Basic knowledge in front-end technologies such as JavaScript, , ReactJS, HTML5, and CSS3.
• Understanding of fundamental design principles behind a scalable application.
• Understanding of databases, SQL and non-relational, plus the Django ORM.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Experience in web mark-up like HTML and CSS.
• Experience with data structure libraries.
• Familiarity with RESTful APIs.
• A knack for bench marking and optimization.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end build pipelines and tools.
• Experience with common front-end development tools such as NPM etc.
• Strong knowledge of Git version control.
• Experience deploying Python applications into production.
• Amazon Web Services (AWS) knowledge is a plus.
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Responsibilities

• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performance applications using Django framework in Python.
• Create and use the REST APIs for communicating with other apps.
• Assess and prioritize feature requests and work in Agile framework.
• Implementation of security and data protection algorithms.
• Integration of data storage solutions like databases, key-value stores, blob stores, S3 etc.
• Improve the functionality of existing systems and applications.
• High commitment to work and taking ownership of deliverables.
• Help to research and influence our path forward with strategic technology initiatives.

Role & responsibilities

Cold Calling:

Contacting potential customers using a given phone directory.

Customer Interaction:

Asking pertinent questions to understand customer requirements.

Persuading customers to buy by demonstrating how products or services meet their needs.

Sales and Record Keeping:

Recording customer information accurately in a computer system.

Keeping records of calls and sales.

Meeting sales quotas and facilitating future sales.

Proven experience in telemarketing or similar sales/customer service roles.

Excellent communication and presentation skills.

Patience and ability to handle customer rejection

Experience: Minimum 1 year as a telecaller

About the Role:

We are looking for a skilled Full Stack Developer (Python & React) to join our Data & Analytics team. You will design, develop, and maintain scalable web applications while collaborating with cross-functional teams to enhance our data products.

Responsibilities:

• Develop and maintain web applications (front-end & back-end).
• Write clean, efficient code in Python and TypeScript (React).
• Design and implement RESTful APIs.
• Work with Snowflake, NoSQL, and streaming data platforms.
• Build reusable components and collaborate with designers & developers.
• Participate in code reviews and improve development processes.
• Debug and resolve software defects while staying updated with industry trends.

Qualifications:

• Passion for immersive user experiences and data visualization tools (e.g., Apache Superset).
• Proven experience as a Full Stack Developer.
• Proficiency in Python (Django, Flask) and JavaScript/TypeScript (React).
• Strong understanding of HTML, CSS, SQL/NoSQL, and Git.
• Knowledge of software development best practices and problem-solving skills.
• Experience with AWS, Docker, Kubernetes, and FaaS.
• Knowledge of Terraform and testing frameworks (Playwright, Jest, pytest).
• Familiarity with Agile methodologies and open-source contributions.

• Previous experience leading outsourced engineering teams required
• Previous experience working with US leadership team, US customers and US-based vendors and service providers
• Understanding of full-stack .NET is a must
• Experience with Angular front-end frameworks and tools
• Experience with database systems and data modeling (RDBMS, SQL, NoSQL)
• Experience with designing and building integrations using REST and SOAP web services.
• Experience with test-driven development.

• Experience with micro-service architecture, Docker, and Azure preferred 
• Experience with Machine Learning modeling, training and algorithm development preferred 
• Experience with data labeling to be used for machine learning purposes 
• SOC 1/2/3 and other attestation engagements 
• Cybersecurity Risk and Gap Assessments 
• Knowledge of vulnerability assessment and penetration testing technologies, as well as incident response, host and network forensic technologies 

• 12+ years of industry experience 
• 7+ years in Software Development 
• Experience with Vendor Management, Stakeholder management 
• Experience managing distributed team (Off-shore/on-shore model) 
• Excellent Delivery management skills 
• Excellent communication and problem-solving skills 

We’re looking for a team player, who is motivated by delivering great work. Some of the skills and experience we look for includes:

• Builds and maintains relationship with talent pool in regional markets
• Opens and manages requisitions throughout recruiting lifecycle
• Manages candidate database, including resumes and applications
• Assesses recruiting service request and confirms talent needs with Business and Hiring Manager
• Identifies recruiting channels and target talent pools and conducts search for candidates
• Captures applicant information into recruiting database, maintaining database for future reference
• Prepares and shares candidate communications throughout recruiting lifecycle
• Provides candidate logistics support during hiring process, including coordination of candidate interviews and screening
• Screens candidates, including review of application and resume along with conducting assessments and interviews in partnership with Hiring Manager
• Serves as a point of escalation for inquiries and redirects the resolution of complex or unusual talent acquisition inquiries to the Talent Acquisition COE
• Provides inputs on recruiting operations and execution improvements to Talent Acquisition Lead and Talent Acquisition COE

• NoSQL DB (MongoDB, CouchDB), PostgreSQL
• Mocha test environment
• Should JS testing framework
• Experience implementing mock services
• Nock API mocking
• NPM, Redis
• Typescript / Coffee script experience will be an added advantage
• Experience working with opensource JS projects
• Experience in developing REST API
• Source code management tool - Git / GitHub
• Understanding of TCP/IP networking and client/server web programming model
• Good communication skills
• Should be able to work with the cross-geo client team

Role and Responsibilities

• Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality
• Build robust RESTful APIs that serve data and insights to DataWeave and other products
• Design user interaction workflows on our products and integrating them with data APIs
• Help stabilize and scale our existing systems. Help design the next generation systems.
• Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
• Work closely with the Head of Products and UX designers to understand the product vision and design philosophy
• Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns.
• Constantly think scale, think automation. Measure everything. Optimize proactively.
• Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.

Skills and Requirements

• 8- 15 years of experience building and scaling APIs and web applications.
• Experience building and managing large scale data/analytics systems.
• Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
• Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
• Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
• Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
• Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
• Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
• Use the command line like a pro. Be proficient in Git and other essential software development tools.
• Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
• Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
• Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
• Working knowledge linux server administration as well as the AWS ecosystem is desirable.
• It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.