428 Data Analytics jobs in Bengaluru

About Lumilens

At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient.

We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing.

This isn’t incremental innovation—it’s a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and we’re moving faster. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver—will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact—jump on the rocket ship. We’re just getting started.

Position Overview

We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens.

Analytics engineer

• Understand user requirements from a variety of domain experts and translate that to data tooling requirements
• Create rapid analytics prototypes (notebooks, dashboards) to address user needs
• Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets
• Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers
• Implement data quality checks
• Identify opportunities to improve timeline, reliability and costs for our product lines
• Follow good software engineering practices
• Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy).

What we offer

● Competitive salary commensurate with experience

● Comprehensive benefits package including health insurance

● Professional development opportunities and certification support

● Access to cutting-edge technology and cloud platforms

● Collaborative work environment with cross-functional teams

● Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.

• Position Title –Data Analytics Manager
• Location – Bengaluru-Corporate Office
• Total Experience of 4 to 10 Years
• Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
• Direct Reporting – Nil (Individual Contributor)
• Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail

Key Responsibilities:-

Data Analysis and Reporting:

• Be the central point for all business and performance analytics
• Oversee the collection, processing, and interpretation of large datasets
• Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
• Develop self-serve BI tools and automated reporting for functional leaders
• Identify trends, patterns, and insights to drive strategic decision-making
• Build and maintain executive dashboards to monitor business health and performance metrics.

Data Strategy Development:

• Develop and implement data analytics strategies to support business objectives.
• Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
• Collaborate with other departments to understand their data needs and provide actionable insights.

Team Management:

• Led and mentored a team of data analysts and MIS experts
• Ensured projects were completed on time and within budget
• Foster a collaborative and innovative work environment

Tool and System Management:

• Implement and maintain data analytics tools and systems
• Ensure the efficient operation of data collection and analysis processes
• Troubleshoot and resolve any issues related to data systems
• Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
• Provide ROI analysis on transformation and cost-saving initiatives

Stakeholder Communication:

• Act as the analytics point of contact for strategy-related initiatives
• Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
• Present insights and recommendations to senior leadership in a clear and compelling manner

Other Responsibilities:

• Delivery of data services to support marketing activities
• Program and develop Extract, Transform and Load programs to support integration
• Ensure data quality within the database - Data Loading and error handling
• User Acceptance Test to ensure Quality in deliverables
• Produce high standard of documentation on data flows and processes
• Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
• Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
• Defined and set up reporting and analysis processes and deliverables that meet client objectives.

Key Performance Indicator:-

• Data Accuracy : Accuracy and reliability of data collected and analyzed
• Insight Utilization : Percentage of business decisions influenced by data insights
• Project Timeliness : Completion of data projects within the agreed timelines
• Team Performance : Productivity and development of the data analytics team
• Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)

Remarks:-

• Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
• Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
• Knowledge of data management best practices and regulatory requirements.
• Knowledge of data management best practices and regulatory requirements.
• Good Communication & Influencing Skills.
• Looking for stable candidates only (Frequent job changes will be not considered).
• Local Candidates will be preferred

About Lumilens

At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient.

We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing.

This isn’t incremental innovation—it’s a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and we’re moving faster. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver—will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact—jump on the rocket ship. We’re just getting started.

Position Overview

We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens.

Analytics engineer

• Understand user requirements from a variety of domain experts and translate that to data tooling requirements
• Create rapid analytics prototypes (notebooks, dashboards) to address user needs
• Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets
• Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers
• Implement data quality checks
• Identify opportunities to improve timeline, reliability and costs for our product lines
• Follow good software engineering practices
• Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy).

What we offer

● Competitive salary commensurate with experience

● Comprehensive benefits package including health insurance

● Professional development opportunities and certification support

● Access to cutting-edge technology and cloud platforms

● Collaborative work environment with cross-functional teams

● Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.

• Position Title –Data Analytics Manager
• Location – Bengaluru-Corporate Office
• Total Experience of 4 to 10 Years
• Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
• Direct Reporting – Nil (Individual Contributor)
• Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail

Key Responsibilities:-

Data Analysis and Reporting:

• Be the central point for all business and performance analytics
• Oversee the collection, processing, and interpretation of large datasets
• Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
• Develop self-serve BI tools and automated reporting for functional leaders
• Identify trends, patterns, and insights to drive strategic decision-making
• Build and maintain executive dashboards to monitor business health and performance metrics.

Data Strategy Development:

• Develop and implement data analytics strategies to support business objectives.
• Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
• Collaborate with other departments to understand their data needs and provide actionable insights.

Team Management:

• Led and mentored a team of data analysts and MIS experts
• Ensured projects were completed on time and within budget
• Foster a collaborative and innovative work environment

Tool and System Management:

• Implement and maintain data analytics tools and systems
• Ensure the efficient operation of data collection and analysis processes
• Troubleshoot and resolve any issues related to data systems
• Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
• Provide ROI analysis on transformation and cost-saving initiatives

Stakeholder Communication:

• Act as the analytics point of contact for strategy-related initiatives
• Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
• Present insights and recommendations to senior leadership in a clear and compelling manner

Other Responsibilities:

• Delivery of data services to support marketing activities
• Program and develop Extract, Transform and Load programs to support integration
• Ensure data quality within the database - Data Loading and error handling
• User Acceptance Test to ensure Quality in deliverables
• Produce high standard of documentation on data flows and processes
• Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
• Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
• Defined and set up reporting and analysis processes and deliverables that meet client objectives.

Key Performance Indicator:-

• Data Accuracy: Accuracy and reliability of data collected and analyzed
• Insight Utilization: Percentage of business decisions influenced by data insights
• Project Timeliness: Completion of data projects within the agreed timelines
• Team Performance: Productivity and development of the data analytics team
• Stakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insights
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)

Remarks:-

• Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
• Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
• Knowledge of data management best practices and regulatory requirements.
• Knowledge of data management best practices and regulatory requirements.
• Good Communication & Influencing Skills.
• Looking for stable candidates only (Frequent job changes will be not considered).
• Local Candidates will be preferred

Job Title: Data Analytics MentorJob Type: Full-TimeLocation: Remote (India)Experience Required: 6+ YearsJob DescriptionWe are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights.Key ResponsibilitiesDeliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python.Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio.Provide personalized feedback, career mentorship, and interview preparation assistance.Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs.Evaluate learner performance through project reviews and one-on-one guidance.Required QualificationsA minimum of 6 years of experience in data analytics, business intelligence, or a related role.Proficiency in SQL, Excel, Python (Pandas, Num Py), and data visualization tools such as Tableau, Power BI, or Google Data Studio.Strong understanding of data analysis techniques, data storytelling, and reporting methods.Experience in mentoring, training, or teaching in a professional or academic setting is preferred.Excellent communication and interpersonal skills.Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage.Additional InformationThis is a remote, full-time employment opportunity.Compensation will be based on experience and aligned with industry standards.Candidates must be legally authorized to work in India.

Position Title –Data Analytics ManagerLocation – Bengaluru-Corporate Office Total Experience of 4 to 10 YearsQualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering Direct Reporting – Nil (Individual Contributor)Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ RetailKey Responsibilities:-Data Analysis and Reporting:Be the central point for all business and performance analyticsOversee the collection, processing, and interpretation of large datasetsManage all MIS and reports for various functions and ensure timely delivery of reports to each function.Develop self-serve BI tools and automated reporting for functional leadersIdentify trends, patterns, and insights to drive strategic decision-making Build and maintain executive dashboards to monitor business health and performance metrics.Data Strategy Development:Develop and implement data analytics strategies to support business objectives. Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.Collaborate with other departments to understand their data needs and provide actionable insights. Team Management:Led and mentored a team of data analysts and MIS expertsEnsured projects were completed on time and within budgetFoster a collaborative and innovative work environmentTool and System Management:Implement and maintain data analytics tools and systemsEnsure the efficient operation of data collection and analysis processesTroubleshoot and resolve any issues related to data systemsUse statistical methods, predictive modeling, and data mining techniques to inform decision-makingProvide ROI analysis on transformation and cost-saving initiativesStakeholder Communication:Act as the analytics point of contact for strategy-related initiativesWork with product, IT, supply chain, and marketing teams to gather data and align KPIs. Present insights and recommendations to senior leadership in a clear and compelling mannerOther Responsibilities:Delivery of data services to support marketing activitiesProgram and develop Extract, Transform and Load programs to support integrationEnsure data quality within the database - Data Loading and error handlingUser Acceptance Test to ensure Quality in deliverablesProduce high standard of documentation on data flows and processesCoordinated data campaigns and analysis projects, including segmentation and modeling deliverables. Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.Defined and set up reporting and analysis processes and deliverables that meet client objectives.Key Performance Indicator:-Data Accuracy: Accuracy and reliability of data collected and analyzedInsight Utilization: Percentage of business decisions influenced by data insightsProject Timeliness: Completion of data projects within the agreed timelinesTeam Performance: Productivity and development of the data analytics teamStakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insightsFamiliarity with cloud data platforms (e.g., Azure, AWS, Google Big Query)Remarks:-Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.) Proven experience building dashboards (Power BI, Tableau, Qlik View, etc.) and working with large data sets.Knowledge of data management best practices and regulatory requirements.Knowledge of data management best practices and regulatory requirements.Good Communication & Influencing Skills.Looking for stable candidates only (Frequent job changes will be not considered).Local Candidates will be preferred

About Lumilens

At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient.

We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing.

This isn’t incremental innovation—it’s a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and we’re moving faster. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver—will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact—jump on the rocket ship. We’re just getting started.

Position Overview

We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens.

Analytics engineer

• Understand user requirements from a variety of domain experts and translate that to data tooling requirements
• Create rapid analytics prototypes (notebooks, dashboards) to address user needs
• Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets
• Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers
• Implement data quality checks
• Identify opportunities to improve timeline, reliability and costs for our product lines
• Follow good software engineering practices
• Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy).

What we offer

● Competitive salary commensurate with experience

● Comprehensive benefits package including health insurance

● Professional development opportunities and certification support

● Access to cutting-edge technology and cloud platforms

● Collaborative work environment with cross-functional teams

● Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.

Description

Essential Responsibilities:

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit .

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

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Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

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