1184 Data Analyst jobs in Bengaluru

Role Summary:

We are seeking a data-driven, analytical professional to lead centralized reporting,

performance monitoring, inventory planning, and demand forecasting. This role will provide the

leadership team with timely dashboards and insights, while driving inventory accuracy and

proactive demand planning across all warehouses.

Key Responsibilities:

Control Tower & Reporting:

• Build and manage daily/weekly/monthly dashboards and trackers for operational KPIs

(OTIF, dispatch accuracy, inward TAT, productivity).

• Generate MIS reports and business updates for leadership review.

• Conduct root cause analysis on misses, delays, or operational inefficiencies.

Inventory Management & Planning:

• Own inventory health reportingaging analysis, stock coverage, slow movers, stock-

outs, and excesses.

• Monitor inward schedules vs. dispatch plans to ensure inventory availability for on-time

order fulfillment.

• Support stock rationalization and inventory holding optimization across all

warehouses.

Demand Planning:

• Analyze historical dispatch patterns and upcoming demand to build rolling forecasts.

• Work with Sales, Procurement, and Operations to align demand and supply plans.

• Drive visibility of critical inventory gaps and support timely decision-making.

Continuous Improvement & Insights:

• Identify and track process improvement opportunities.

• Measure the impact of new initiatives and cost-saving projects.

• Collaborate with tech teams to build or improve automation and reporting tools.

Requirements:

• 4 - 6 years of experience in Supply Chain Analytics, Inventory Planning, or MIS roles in

warehousing, retail, or e-commerce sectors.

• Strong data analysis, forecasting, and inventory management skills.

• Proficiency in Excel, Google Sheets, Power BI/Tableau is mandatory.

• Solid understanding of warehouse operations, dispatch flows, and inventory control.

• Excellent communication and the ability to translate data into actionable insights.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
Caring. Connecting. Growing together.
As a Medicare Risk Adjustment Data Analyst, you'll play a crucial role in supporting the development and enhancement of new analytical applications related to Medicare risk adjustment as well as supporting existing applications such Attribution Analytics, Financial Risk Adjustment and Management Engine.

Primary Responsibilities
This position is for Attribution Market Analytics team and upon selection, you will be part of dynamic team working on developing and delivering Best in-class Analytics for end users. Your work will focus on understanding CMS Medicare Advantage business and developing best in-class Analytics for Attribution Market Analytics team according to Business/Technical requirements. Here are the key responsibilities, qualities and experience we will look for in an ideal candidate:

• Gather and analyze business and/ or functional requirements from 1 or more client business teams
• Validate requirements with stakeholders and day to day project team, provide suggestions and recommendations in line with industry best practices
• Developing and delivering Best in-class Analytics for end users using Big Data and Cloud platforms
• Document, discuss and resolve business, data, data processing and BI/ reporting issues within the team, across functional teams, and with business stakeholders
• Present written and verbal data analysis findings, to both the project team and business stakeholders as required to support the requirements gathering phase and issue resolution activities
• Manage changing business priorities and scope and work on multiple projects concurrently Self - motivated and proactive with the ability to work in a fast - paced environment
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualities

• Proven interpersonal, collaboration, diplomatic, influencing, planning and organizational skills
• Consistently demonstrate clear and concise written and verbal communication
• Proven ability to effectively use complex analytical, interpretive and problem-solving techniques
• Proven relationship management skills to partner and influence across organizational lines
• Demonstrated ability to be work under pressure and to meet tight deadlines with proactive, decisiveness and flexibility

Required Qualifications

• 4+ years of work experience in SQL or associated languages
• 3+ years of work experience with python, spark and HIVE and solid experience in developing Analytics at scale using Python, Spark and HIVE
• 2+ years of work experience - Ability to convert Business requirements into technical requirements and ability to develop Best in class code as per Technical/Business requirements
• 1+ years of work experience in developing Analytics pipeline on Cloud platform
• Basic knowledge of AI concepts and practical understanding of how to leverage AI tools and technologies to enhance data analytics workflows and solutions

Preferred Qualifications

• Domain Experience:

• Understanding of Medicare risk adjustment programs

• Understanding of CMS datasets such as MMR/MOR/EDPS etc.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

ROLE DESCRIPTION:

Data warehousing migration programs that involve cross geography and multi-functional delivery

To align project timeline to ensure project success delivery.

Provide support to Data Analysis, Mapping and Profiling

Perform data requirement gathering, analysis and documentation.

Mapping of data attributes from different source systems to the target data models and ensuring the same business rules are followed

interpreting use case requirement and design of target data model/ data mart

Profiling of data attributes to assess data quality that affects referential integrity and provide remediation recommendations.

Ensures that data use is complies to the data architecture principles including golden sources and standard reference data.

Data modelling for better data integration within the data warehouse platform

Key responsibilities are:

To work together with squad members for success delivery of projects that includes managing different stakeholders like business, other technology teams and internal development teams; Ensuring delivery is align to the timeline for each milestone.

To work closely with various stakeholders in analyzing the user requirements, profiling data, and finalizing the requirements for delivery (Do the right thing).

Transforming data requirements into data models through design and modelling aligning to the data warehousing standards and processes.

Create data mapping templates for Data Model mapping.

Profile data to assess data quality, suitability, and cardinality.

Support data stores inbound and/or outbound development activities provide guidance and clarification to development team on the mapping developed.

Responsible to provide direction on solution from a standard product / architecture perspective Participate in key decision-making discussions liaising with business stakeholders

Perform SIT and support UAT.

Responsible to manage the change request effectively and efficiently during the project delivery with all agreed controls

Align with the bank process and standards and ensure there are no deviations Deliver Functional documentation to the development team while collating the requirements from various stakeholders To ensure alignment to Data Quality Management Framework that includes Data Management through lineage documentation, data control to ensure data quality securities.

Data Analyst.

About Noesys Software:

We at Noesys, through our product, provide Analytics and Automation solutions for businesses. Infoveave is our Gen AI-powered unified data platform, enabling businesses to manage all their data in one place, keep track oftheir performance at various levels, and automate critical front and back-office processes.

Life at Noesys like a lot of startups, comes with changes and challenges, but also with the opportunity to learn grow, and move forward. Our foundation is built on Agility, Focus, and Care - for our people, our customers, and our product. Our agility keeps us going and taking every challenge head-on. We own our client's problems and help them to transform and serve their customers better. In this pursuit,we come together passionately & relentlessly as a team.

Are you the kind of person who is ready to roll up your sleeves and jump into action? Then this is just the place for you. We are hiring dynamic professionals with a passion for technology with a go-getter attitude. For further required skillset and experience kindly refer to the job description.

For more information, visit :- Company website : and Product website :

Educational Qualification: Bachelor's degree or its equivalent in computer science, information technology, engineering, or related technical field.

Responsibilities Include:

• Develop the requirement specifications based on the business need and domain understanding.

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.

• Analyzing datasets.

• Test and validate the dashboards and reports against the underlying raw data based on the requirements.

• Observing the datasets over a period, identify patterns, and highlight changes, anomalies, and concerns.

• Creating documentation for projects and product teams.

• Establish scalable, efficient, automated processes for data analyses.

• Display complex quantitative data in a simple, intuitive format, and present findings clearly and concisely.

• Present demos to clients and stakeholders in line with the business needs, effectively and efficiently.

• Planning project schedule with client and senior team members and tracking.

• Status reporting to various stakeholders on progress, incidents, and proactively addressing challenges.

• Guiding other team members, following delivery schedules, highlighting potential delays, and working on resolutions.

• General responsibilities for implementing or maintaining the Noesys Information Security policy, as well as any specific responsibilities for the protection of assets, or the execution of security processes or activities.

Required Skills & Experience:

• 2-5 years relevant experience in business analysis.

• Preferred background from Utilities Sector.

• Experience defining requirements and using data and metrics to draw business insights.

• Experience in analytics, reporting & data management, data science or similar job function.

• Experience making business recommendations and influencing stakeholders.

• Experience with SQL Queries and Excel.

• Understanding of ETL/ELT, DWH, Data Lake, Data Visualization and BI concepts.

• Experience with data visualization tools like Tableau, Power BI, QlikView etc.

• Excellent written and verbal communications skills able to interface with all levels of the organization, creating effective documentation.

• Tracking the work progress and making sure Project deliver on Time.

• Ability to interact with clients for deliverables, and handling team simultaneously and updating project stakeholders.

Contact:

Please send your resume to to apply.

Job Type: Permanent

Pay: ₹500, ₹700,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

The Analytics, Investment Optimization and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing group within American Express – is the analytical engine that enables the Global Commercial Card & Non-Card business. This role, based out of Bangalore, will be a part of the AIM team and will be responsible for Marketing Analytics. The team specifically focus on identifying emerging inflection signals and partner closely with GCS channel teams. The incumbent would be responsible to drive incremental efficiencies by implementing end-to-end strategies, running complex simulations, identifying new inflection signals, and establishing robust measurement frameworks, leveraging ML/ AI to devise intelligent solutions. The role requires a strong background in data analytics. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service's business at American Express.

Key Responsibilities include:

• Portfolio analytics to identify trends, leading indicators, and outlook
• Support and enable the GCS channel partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.
• Partner with functional leaders, Strategic Business Partners and Senior leaders to assess and identify opportunities for better customer engagement, and revenue growth
• Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
• Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.
• Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives and opportunities for business success.

Qualifications

• Degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics).
• Strong technical (Python & SQL) and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results.
• Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors.
• Strong programming skills are preferred. Experience with Big Data programming is a plus.
• Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Summary

Data Analysts II are the drivers for analytics tasks such as reporting, visualization and analysis needs within their area. They have a high level understanding of the business problems in their area and collaborate closely with the business stakeholders to solve them through application of data analytics. They use their experience and consultation with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience. Data Analysts II are able to manage junior to mid level stakeholders autonomously (seeking for help with more senior stakeholders) based on their experience and practical understanding of business concepts to prioritize for business impact, efficiently adapt to business needs, and manage expectations accordingly. They combine their understanding of the business with the knowledge of data, workflows, methods and tooling to autonomously drive analysis and reporting within the scope of their team. They can find opportunities to apply new concepts and approaches into action when business and user needs demand it. They aim to deliver scalable, reproducible and long-term focused solutions in every area of their work (ie. reporting, visualization, influencing business decisions through data, etc). They collaborate, mentor peers in their team and follow best practices ensuring data quality and stability.

Key Responsibilities

1. Responsible for owning the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.

2. Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value.

3. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for a product / business topic in the area they work in, occasionally collaborating across multiple teams.

4. Responsible for leveraging previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions in the most efficient way. They understand stakeholder needs and create intuitive and insightful visualizations that translate data into actionable insights to answer those needs. 5. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.

5. Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers when a more efficient way presents itself.

6. Responsible for leveraging Data Analytics for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.

7. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.

8. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.

9. Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. 11. Responsible for collaborating with peers in related crafts (ie.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.

10. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).

11. Responsible for ensuring quality of their own work by validating it through peer review.

12. Responsible for influencing business decisions within their specific area (ie. product team).

Key Skills

1. Responsible for owning the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.

2. Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value.

3. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for a product / business topic in the area they work in, occasionally collaborating across multiple teams.

4. Responsible for leveraging previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions in the most efficient way. They understand stakeholder needs and create intuitive and insightful visualizations that translate data into actionable insights to answer those needs. 5. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.

5. Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers when a more efficient way presents itself.

6. Responsible for leveraging Data Analytics for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.

7. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.

8. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.

9. Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. 11. Responsible for collaborating with peers in related crafts (ie.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.

10. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).

11. Responsible for ensuring quality of their own work by validating it through peer review.

12. Responsible for influencing business decisions within their specific area (ie. product team).

We are looking for a skilled
Data Analyst
with strong expertise in SQL, Python, and JSON handling to join our team. The ideal candidate will have hands-on experience in working with complex datasets, feature store concepts, and data governance while ensuring data quality and compliance.

Key Responsibilities

• Write and optimize SQL queries to extract, manipulate, and analyze data from SQL Server databases.
• Work extensively with
  JSON data structures
  within databases, including interpreting, extracting, and converting JSON into relational/columnar formats.
• Collaborate with data science and analytics teams on
  feature store usage
  , ensuring data availability and accessibility for modelling purposes.
• Develop robust
  Python scripts
  for automation, data extraction, transformation, and integration tasks.
• Perform
  data governance checks
  to ensure data accuracy, consistency, and compliance with organizational standards.
• Translate business and project requirements into technical data solutions.
• Document processes, workflows, and data handling practices to support knowledge sharing.

Required Skills & Experience

• 5+ years
  of proven experience in SQL development, database management, and optimization.
• Strong experience handling
  JSON data
  within databases and transforming it into relational structures.
• Familiarity with
  feature store concepts
  in data engineering environments.
• Proficient in
  Python scripting
  for ETL, automation, and data processing tasks.
• Solid understanding of
  data governance principles
  and best practices.
• Strong analytical, problem-solving, and communication skills.
• Experience in working on enterprise-scale projects (preferably in technology or product-based companies like Dell).

Good to Have

• Exposure to cloud platforms (AWS, Azure, or GCP) for data engineering workflows.
• Prior experience working in large-scale global teams.