11+ Data Visualization Jobs in Delhi, NCR and Gurgaon | Data Visualization Job openings in Delhi, NCR and Gurgaon

ROLE SUMMARY:

The Claims Business Analyst is responsible for developing detailed business and functional requirements

for claims processing and administration systems, as well as ensuring proper integration with

downstream systems for reporting purposes. The role also includes planning and conducting User

Acceptance Testing to guarantee that the systems meet the necessary specifications. Additionally, the

Claims Business Analyst provides analytical support for various projects and initiatives aimed at

enhancing the claims management processes within the organization.

ROLE RESPONSIBILITIES:

 Lead requirements definitions for complex enhancements and on-going strategic initiatives.

 Identify and translate business needs into clearly defined requirements.

 Create documentation inclusive of business use cases, process / data flows, traceability matrices, and

report mock-ups.

 Plan, facilitate, and conduct requirements gathering sessions, meetings, and presentations.

 Lead review sessions for completed business/functional requirements, with key business users

focused on gaining consensus and final business approval.

 Cultivate strong professional relations within business units to thoroughly understand business needs.

 Collaborate with the development and testing teams to provide subject-matter expertise.

 Assist in troubleshooting and resolving issues when out-of-the-box functionality is leveraged.

 Ensure future solutions are efficient and effective across all business processes, while being

consistent across products.

 Participate in the development and planning of the user acceptance testing activities, including test

plans and scripts, based on requirements. After the planning phase, facilitate the UAT execution

phase.

 Work with the business lead and project manager to obtain UAT signoff.

TECHNICAL QUALIFICATIONS:

 7+ years of business analysis experience, with 3+ years within the space of property and casualty

insurance claims. Experience with iterative and agile methodologies, with working knowledge of both

SDLC and PMLC processes.

 Strong experience with the development of detailed business requirements and technical

specifications.

 Proven hands-on experience with creation of business process diagrams, data rules, business

requirements, and functional requirements/user stories.

 Knowledge and experience when reviewing, re-engineering, or developing IT solutions for business

process/improvements automation.

 Experience operating and interfacing with business management during walkthrough, interview,

presentation, and negotiation processes.

 Proven track record for creating clear, concise deliverables which reflect a deep understanding of

business needs and software functionality.

GENERAL QUALIFICATIONS

 Proven track record for claims system implementation and support.

 Clear verbal and written skills.

 Ability to understand communication channels and can escalate appropriately.

 Experience using standard project and business tools including, Microsoft Project, Excel, PowerPoint,

Project, SharePoint, UI mock-up tools, etc.

 Must be proficient with process modeling tools (e.g., Visio.)

 Experience with visualization tools is beneficial.

 Excellent problem-solving and analytical skills.

 Experience supervising small teams.

 Strong initiative with the ability to self-manage.

 Comfortable with ambiguity and able to work through challenges to complete the objectives correctly.

 Team player who works well with technical and business resources.

 Able to see tasks through to completion without significant guidance.

 Personal time-management skills and an ability to meet individual / team deadlines.

EDUCATION REQUIREMENTS:

 B.A./B.S. Degree.

 Certified Business Analyst Professional (CBAP) is a plus but not required.

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

About the Role:

We are seeking a talented Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

About MyOperator

MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

About the Role

We are seeking a Site Reliability Engineer (SRE) with a minimum of 2 years of experience who is passionate about monitoring, observability, and ensuring system reliability. The ideal candidate will have strong expertise in Grafana, Prometheus, Opensearch, and AWS CloudWatch, with the ability to design insightful dashboards and proactively optimize system performance.

Key Responsibilities

• Design, develop, and maintain monitoring and alerting systems using Grafana, Prometheus, and AWS CloudWatch.
• Create and optimize dashboards to provide actionable insights into system and application performance.
• Collaborate with development and operations teams to ensure high availability and reliability of services.
• Proactively identify performance bottlenecks and drive improvements.
• Continuously explore and adopt new monitoring/observability tools and best practices.

Required Skills & Qualifications

• Minimum 2 years of experience in SRE, DevOps, or related roles.
• Hands-on expertise in Grafana, Prometheus, and AWS CloudWatch.
• Proven experience in dashboard creation, visualization, and alerting setup.
• Strong understanding of system monitoring, logging, and metrics collection.
• Excellent problem-solving and troubleshooting skills.
• Quick learner with a proactive attitude and adaptability to new technologies.

Good to Have (Optional)

• Experience with AWS services beyond CloudWatch.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Scripting knowledge (Python, Bash, or similar).

Why Join Us

At MyOperator, you will play a key role in ensuring the reliability, scalability, and performance of systems that power AI-driven business communication for leading global brands. You’ll work in a fast-paced, innovation-driven environment where your expertise will directly impact thousands of businesses worldwide.

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Role Summary:

Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.

Key functions & responsibilities:

· Communication & interaction with Project Manager to understand the requirement

· Dashboard designing, development and deployment using Tableau eco-system

· Ensure delivery within given time frame while maintaining quality

· Stay up to date with current tech and bring relevant ideas to the table

· Proactively work with the Management team to identify and resolve issues

· Performs other related duties as assigned or advised

· He/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity and character

· Contribute in dashboard designing, R&D and project delivery using Tableau

Experience:

· Overall 3-7 Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 3 years.

· At least 3 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc.

Technology & Skills:

· Hands-on expertise of Tableau administration and maintenance

· Strong working knowledge and development experience with Tableau Server and Desktop

· Strong knowledge in SQL, PL/SQL and Data modelling

· Knowledge of databases like Microsoft SQL Server, Oracle, etc.

· Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.

· Good communication & Analytical skills with Excellent creative and conceptual thinking abilities

· Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

About Us

We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.

The problem we are solving

In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction.

Roles and Responsibilities:

• Ability to synthesize complex data into actionable goals and act as the custodian for everything on data and insights.  
•  Ensuring data sanctity through instrumentation and monitoring data quality to meet the business needs of the company Developing and monitoring KPIs for each vertical of the business.
• (Revenue/Sales/Finance/Campaigns/Content/Marketing), and at an overall business level and constantly driving the company towards meeting the KPIs.
• Generating product and user insights and working closely with the Product manager to make product and design decisions
• Having a product out view towards problem-solving – Market and competitor research to understand the trends in product design, continuous A/B testing to grow the product KPIs, etc
•  Owning and improving the core issues related to the product.
• Create and maintain client relationships.
• Stay up to date with new products/services and competitors
• Interpersonal skills to work closely with various stakeholders who may have competing interests

Requirements:

• Previous experience in Business / Systems Analysis or Quality Assurance
• 2-5 years of experience
• A degree in IT / Computer Science
• Proven experience in eliciting requirements and testing
• Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools
• Solid experience in writing SQL queries
• Basic knowledge in generating process documentation
•  Strong written and verbal communication skills including technical writing skills

Life at Rezo.AI:

• We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
•  A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
• Practice autonomy, open communication, and growth opportunities, while maintaining a perfect work-life balance.
• Go on company-sponsored offsites and blow off steam with your work buddies.

Perks & Benefits:

Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentorship. Get the best-in-class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)

Why Us?

We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer services problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.

Explore more here:

http://www.rezo.ai/" target="_blank">www.rezo.ai

GCP  Data Analyst profile must have below skills sets :

• Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
• Data cleansing, data visualization, data wrangling
• Data modeling , data warehouse concepts
• Adapt to Big data platform like Hadoop, Spark for stream & batch processing
• GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)

Job Title: Power BI Developer(Onsite)

Location: Park Centra, Sec 30, Gurgaon

CTC:        8 LPA

Time:       1:00 PM - 10:00 PM

Must Have Skills: 

• Power BI Desktop Software
• Dax Queries
• Data modeling
• Row-level security
• Visualizations
• Data Transformations and filtering
• SSAS and SQL

Job description:

We are looking for a PBI Analytics Lead responsible for efficient Data Visualization/ DAX Queries and Data Modeling. The candidate will work on creating complex Power BI reports. He will be involved in creating complex M, Dax Queries and working on data modeling, Row-level security, Visualizations, Data Transformations, and filtering. He will be closely working with the client team to provide solutions and suggestions on Power BI.

Roles and Responsibilities:

• Accurate, intuitive, and aesthetic Visual Display of Quantitative Information: We generate data, information, and insights through our business, product, brand, research, and talent teams. You would assist in transforming this data into visualizations that represent easy-to-consume visual summaries, dashboards and storyboards. Every graph tells a story.
• Understanding Data: You would be performing and documenting data analysis, data validation, and data mapping/design. You would be mining large datasets to determine its characteristics and select appropriate visualizations.
• Project Owner: You would develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions, and would be continuously reviewing and improving existing systems and collaborating with teams to integrate new systems. You would also contribute to the overall data analytics strategy by knowledge sharing and mentoring end users.
• Perform ongoing maintenance & production of Management dashboards, data flows, and automated reporting.
• Manage upstream and downstream impact of all changes on automated reporting/dashboards
• Independently apply problem-solving ability to identify meaningful insights to business
• Identify automation opportunities and work with a wide range of stakeholders to implement the same.
• The ability and self-confidence to work independently and increase the scope of the service line

Requirements: 

• 3+ years of work experience as an Analytics Lead / Senior Analyst / Sr. PBI Developer.
• Sound understanding and knowledge of PBI Visualization and Data Modeling with DAX queries
• Experience in leading and mentoring a small team.