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associate - business analyst-business process & service excellence -business analyst Jobs in Noida

associate - business analyst-business process & service excellence -business analyst

associate - business analyst-data engineering-cloud data engineering Jobs in Noida

associate - business analyst-data engineering-cloud data engineering

associate business analyst

associate business analyst data engineering cloud data engineering

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 Strong hands-on programming skills in Python with multiple design patterns.
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 Strong hands-on expertise in Kubernetes and Docker, having ability to build and optimize container images.
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 Experience with Azure/GCP cloud platform, machine learning services and best practices.
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 Strong problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions.
 
 
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 </ul>
 Ability to manage multiple concurrent tasks and prioritize
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Associate - Business Analyst-Data Engineering-Cloud Data Engineering

Lepide

<div>
 
 
 Associate Business Analyst
 
 
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 
 With Offices in Texas, London and Delhi NCR, Lepide is a global IT security organization, leading the data-centric audit and protection (DCAP) market with the award-winning Lepide Data Security Platform. Our mission is to change the way most organizations protect their unstructured data. By putting data at the centre of their IT security strategy, they can ensure they are tackling data security at the source of the problem. We help organizations by providing enterprise level insight into data and the surrounding systems, whether on-premises or in the cloud. Statistically:
 
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 We have over 1000 customers across 150 countries globally.
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 We have unprecedented customer support with 99% customer satisfaction.
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 We are the fastest growing provider of DCAP in the market today.
 </li>
 </ul>
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 
 
 
 We are looking for a detail-oriented and technically curious
 
 Associate Business Analyst
 
 who has a strong interest in technical documentation, product understanding, and cross-functional collaboration. In this role, you will work closely with Product Managers, Engineering teams, and Subject Matter Experts (SMEs) to create high-quality documentation and support product clarity across teams.
 
 
 This is an excellent opportunity for someone early in their career who enjoys analysing technical concepts and turning them into simple, user-friendly content.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 Technical Documentation
 
 
 <ul>
 <li>
 Create clear, concise, and well-structured technical documentation, including user guides, product manuals, API documentation, FAQs, and knowledge-base articles.
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 Develop high-quality technical blogs, how-to guides, and product-focused content for internal and external audiences.
 </li>
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 Translate complex technical concepts into simple, user-friendly language without losing accuracy.
 </li>
 </ul>
 
 
 Product &amp; Requirement Analysis
 
 
 <ul>
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 Work with product managers and engineering teams to collect requirements, understand new features, and document them effectively.
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 Assist in creating functional specifications, business requirement documents (BRDs), and workflow diagrams.
 </li>
 </ul>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
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 Collaborate with SMEs, developers, QA, and support teams to ensure technical accuracy and completeness of all documents.
 </li>
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 Maintain documentation libraries and ensure they are updated based on product changes or customer feedback.
 </li>
 </ul>
 
 
 Quality &amp; Continuous Improvement
 
 
 <ul>
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 Review existing documentation to improve clarity, consistency, and alignment with product updates.
 </li>
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 Ensure that all documentation follows company standards, tone, and style guidelines.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 engineering (CSE/IT/ECE or related field).
 
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 <li>
 
 0&ndash;2 years of experience
 
 in business analysis, technical writing, or documentation-related roles.
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 Strong written communication skills with the ability to simplify complex topics.
 </li>
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 Basic understanding of software products, IT systems, or technical workflows.
 </li>
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 Ability to create structured, organized, and accurate documentation.
 </li>
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 Analytical mindset with high attention to detail.
 </li>
 <li>
 Ability to work cross-functionally and gather information effectively from different teams.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience writing documentation or content in
 
 cybersecurity, data security, or enterprise IT
 
 domains.
 </li>
 <li>
 Familiarity with technologies like
 
 Microsoft 365, Windows Server, Active Directory, SQL, APIs
 
 , etc.
 </li>
 <li>
 Basic knowledge of
 
 HTML, Markdown
 
 , or other web documentation formats.
 </li>
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 Experience using tools like
 
 Confluence, GitBook, Notion, ReadMe
 
 , or similar documentation platforms.
 </li>
 <li>
 Understanding of SDLC, product development, and IT terminology.
 </li>
 </ul>
 
 
</div>

Associate Business Analyst

IILM University, Greater Noida

<div>
 
 
 Application are invited for Professor(s)/Associate Professor(s)/Assistant Professor(s) at School of Computer Science and Engineering, IILM University, Greater Noida
 
 
 
 
 
 
 We invite professionals with experience and expertise in the following domains:
 
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 Cloud Computing
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 Cyber Security
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 Full Stack Development
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 Internet of Things
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 Blockchain Technology
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 Artificial Intelligence/Machine Learning
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 Graphics and Gaming
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 Data Science
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 
 Full-Time Bachelor's &amp; Master&rsquo;s Degree in Computer Science or equivalent
 
 from a recognized Indian/Foreign University.
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 Candidates with Doctoral degree /Pursuing Ph.D./NET qualified in the above said domains will be given preference.
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 Research contribution in SCI/SCOPUS indexed Journals with some sponsored/Funded research projects will be given preference
 </li>
 </ul>
 
 
 
 
 
 How to Apply:
 
 Please fill out the required details using the following link and then submit the CV.
 
 
 
 
 
 
 Application Form link: https://docs.google.com/forms/u/1/d/e/1FAIpQLScb4FcRmnM2L3Lz59zBftOFV5T2aLa20yOZT4VmZNJJJJAXPA/viewform
 
 
 
 
 (Kindly copy the link in the address and fill the form.)
 
 
 
 
 
 
 
 Note: If you have applied earlier, Need not to apply again within 12 months.
 
 
</div>

Assistant/Associate/Professor - SCSE

Vensure Employer Solutions

<div>
 
 
 Job Title: Data Analyst
 
 
 
 
 Location:
 
 Noida
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a detail-oriented
 
 Data Analyst
 
 to join our team. The ideal candidate will have strong analytical skills, experience in
 
 Data Modelling
 
 and
 
 Data Warehousing
 
 , and a proven ability to turn complex data into actionable insights. A
 
 Six Sigma Certification
 
 will be a significant advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to identify trends and patterns.
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 Design and implement
 
 data models
 
 to support business intelligence and reporting needs.
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 Develop and maintain
 
 data warehousing
 
 solutions for efficient data storage and retrieval.
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 Collaborate with cross-functional teams to provide data-driven recommendations.
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 Ensure data accuracy, integrity, and compliance with organizational standards.
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 Utilize statistical methods and tools to optimize processes and improve decision-making.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.
 </li>
 <li>
 Proven experience in
 
 Data Modelling
 
 and
 
 Data Warehousing
 
 .
 </li>
 <li>
 Strong knowledge of SQL, ETL processes, and data visualization tools (e.g., Power BI, Tableau).
 </li>
 <li>
 
 Six Sigma Certification
 
 preferred.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Strong communication skills to present insights effectively.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Familiarity with cloud-based data platforms (AWS, Azure, GCP).
 </li>
 <li>
 Knowledge of Python/R for data analysis and automation.
 </li>
 </ul>
 
 
 
 
 
 Apply Now:
 
 smitha.nair@vensure.com
 
</div>

Data Analyst

ClinicMind

<div>
 ClinicMind is a leading healthcare SaaS platform that helps providers improve their practice financial performance, drive sustainable growth, and enhance patient care with integrated EHR, RCM, and Patient Engagement automation and excellent service solutions. outcomes, and maximizes revenue cycle efficiency.
 
 
 
 Position Summary
 
 
 
 The Junior Data Scientist will support the Data Science team in analyzing data, creating visual insights, and maintaining scalable data workflows using Amazon QuickSight and Amazon Redshift. This role is ideal for an entry-level candidate passionate about analytics, cloud data tools, and supporting data-driven business decisions.
 
 
 Key Responsibilities
 
 
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 <li>
 Data Management &amp; Preparation
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 Extract, clean, and manage datasets within Amazon Redshift and related AWS data sources.
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 Ensure data quality, consistency, and completeness for downstream analytics.
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 Visualization &amp; Reporting
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 Build and maintain Amazon QuickSight dashboards to communicate trends, KPIs, and actionable insights.
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 Automate recurring reporting workflows and enhance dashboard interactivity.
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 Data Analysis &amp; Insights
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 Conduct exploratory data analysis (EDA) to uncover trends and patterns.
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 Support business teams by generating ad-hoc analyses and presenting insights clearly.
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 Collaboration &amp; Support
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 Work closely with the Data Science Team Lead and cross-functional teams (Operations, Product, and Engineering).
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 Participate in sprint reviews, data validation, and stakeholder discussions.
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 Continuous Learning &amp; Innovation
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 Stay up to date on AWS analytics services, BI tools, and data visualization best practices.
 </li>
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 Contribute new ideas for improving efficiency, visualization design, and automation.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Analytics, or related field.
 </li>
 <li>
 Hands-on experience with Amazon QuickSight for dashboarding and reporting.
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 Understanding of Amazon Redshift (queries, schemas, joins, and data pipelines).
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 Knowledge of SQL for data extraction and transformation.
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 Basic exposure to Python or R (optional but desirable).
 </li>
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 Strong analytical mindset and attention to detail.
 </li>
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 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics
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 Amazon QuickSight Author Certification
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 AWS Cloud Practitioner or Practitioner Essentials
 
 
 </li>
 </ul>
 Must Have
 
 
 <ul>
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 Must have a stable internet connection minimum of 25 MBPS
 </li>
 <li>
 Must have a mobile data plan as a backup
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 Must be in a quiet environment / work from home set-up
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 Must be comfortable working the US Eastern Time business hours
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 <li>
 Minimum system requirement: Latest i5 with SSD hard disk (i7 preferred), 16 GB RAM (32 GB preferred)
 </li>
 </ul>
</div>

Junior Data Scientist - Work From Home

Zinnia

<div>
 
 Who We Are
 
 
 
 Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value &ndash; and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
 
 
 
 Who You Are
 
 
 
 The Senior Product Manager leads the Product Life Cycle and strongly contributes to the research &amp; development activities related to the design and development of our products and qualification or re-qualification of new and existing products. The individual will work with Zinnia&rsquo;s Product Organization to ensure alignment with organization&rsquo;s strategy and vision.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead &amp; contribute into the execution of product lifecycle processes for our Insurtech products/platforms, work with cross-functional teams to ensure fulfilment of product requirements, evaluates product performance and transition products from development to commercialization.
 </li>
 <li>
 Lead technical discussions with Engineering teams &amp; thoroughly manage technical/business requirements.
 </li>
 <li>
 Assists in determining product delivery and deployment dates for new product releases, feature and maintenance releases and regular corrective service or service pack releases.
 </li>
 <li>
 Mentor/Drive a team of Product Managers while acting as a technical consultant to the product organization and leads research, and prototyping of innovative technologies and products.
 </li>
 <li>
 Ensures the technology and architectural roadmap of engineering is properly aligned with and supports the product/business road map.
 </li>
 <li>
 Acts as a customer liaison on technical issues related to product integration, custom development and requirements.
 </li>
 <li>
 May lead major releases and ensure feature enhancements respond to customer requests.
 </li>
 <li>
 Responsible for product delivery managing schedules and tasks related to all aspects of product development.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 8+ years of experience into Product Management, including analyzing software/product design, development, and deployment.
 </li>
 <li>
 Bachelor&rsquo;s/Master's or equivalent Degree in technology or related field
 </li>
 <li>
 Strong Background of working as a Technical Product Manager or Business Analyst/Product Analyst in an enterprise environment.
 </li>
 <li>
 Hands-on understanding of API Integration, SQL, Data Analysis etc.
 </li>
 <li>
 Strong understanding of SDLC &amp; technology system interfaces, data integration, networks, and operating systems
 </li>
 <li>
 Coaching &amp; mentoring a team of Product Managers or Product Owners
 </li>
 <li>
 An SME who performs work with a high degree of latitude; handles the most complex issues.
 </li>
 <li>
 Possess strong Communication skills, Problem-solving &amp; Analytical thinking skills.
 </li>
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 Can lead individual assignments &amp; deliver with strong expertise
 </li>
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 Expert level experience in delivery methodologies (Scrum/Kanban) and the use of relevant tools
 </li>
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 Ability to influence, lead, and work as part of a cross-functional in a global team setup
 </li>
 <li>
 Experience in Life &amp; Annuity Industry is preferred, not mandatory
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
 
 
</div>

Senior Product Manager (Technical)

Microsoft

<div>
 
 Overview
 
 
 
 Are you an
 
 Applied Scientist II
 
 passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.
 </li>
 <li>
 Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.
 </li>
 <li>
 Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.
 </li>
 <li>
 Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years of industry experience in applied machine learning or data science roles.
 </li>
 <li>
 Proficiency in Python and ML libraries such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience developing and evaluating generative AI models.
 </li>
 <li>
 Familiarity with NLP techniques and content understanding.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Ability to tackle open-ended problems and deliver practical, scalable solutions.
 </li>
 <li>
 Experience deploying ML models in production environments.
 </li>
 <li>
 Exposure to full product lifecycle from prototyping to deployment and iteration.
 </li>
 <li>
 Contributions to research publications, patents, or open-source projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist II

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