695 Data Analytics jobs in Bangalore

Greetings fro Netsach - A Cyber Security Company.

We are looking for Marketing Data Analyst Contractor. Will work on enabling timely, accurate and actionable reporting for business & operations as well as omni channel marketing.

Job Title: Marketing Data Science & Analytics

Exp: 3+ yrs - 10yrs 

Location: Bangalore, Onsite/WFO

Duration: 1yr Contact + Extension

Face to Face Interview is mandatory for final round.

Interested candidates please share your updated resume at and please post netsachglobal.com

Responsibilities:

• Ensuring frictionless creation and delivery of business C marketing operations reporting at varying cadences (e.g., daily, weekly, monthly etc)
• Building and maintaining the Omni-channel Marketing Insight hub
• Continuously improving and evolving the above.
• Partnering with the Omni-channel marketing team to ensure usability, making recommendations, and overseeing ongoing optimization

Qualifications:

• 3+ years of experience in SL with strong knowledge in it
• Strong working understanding of spreadsheets (Excel, Google Sheets)
• Fluent with data visualization tool such as tableau with 2+ years of experience in it
• Understanding of core marketing principles and multi-channel marketing campaigns (email, web, paid, in product, etc.)
• Experience working on a marketing team
• Passionate about informing actionable insights using data and analytics
• An eye for the nuances in data and strong A skills
• Proactive thinker C self-starter
• Familiarity with task management tools like Jira, Monday, etc

Thank You 

Emily Jha

Netsach - A Cyber Security Company

Why Join Us?

We’re looking for highly skilled, passionate, and motivated individuals who are excited

about shaping the next generation of data professionals. Here’s why you should

consider joining our team:

1. Empower Future Talent – Play a key role in transforming lives by teaching real world data skills.

2. Growth & Recognition – Fast-track your career in a rapidly growing ed-tech

startup with leadership opportunities.

3. Innovative Work Culture – Thrive in a dynamic, collaborative, and flexible work

environment that values creativity and ownership.

4. Be a Part-Owner of the Company – ESOPs offered on performance based as a

loyalty benefit.

5. Make Real Impact – Your contribution directly affects learners’ career success.

What You’ll Do

As a Data Analytics Instructor at SkilloVilla, you will be instrumental in delivering

cutting-edge, industry-relevant training to aspiring data professionals. Your core

responsibilities will include:

1. Training Delivery – Deliver structured, interactive, and engaging training

sessions tailored to varying learner levels – from beginners to advanced.

2. Content Development – Develop content through research to create up-todate, comprehensive, and practical training materials and resources.

3. Project-Based Learning – Guide students through real-world data analytics

projects covering topics such as data analysis, machine learning, statistical

modeling, and data visualization.

4. Mentorship & Support – Provide personalized guidance, resolve student

queries, and support learners through challenges in their educational and career

journey.

5. Interactive Learning – Create a collaborative, problem-solving learning

environment that encourages active participation and critical thinking.

6. Assessment & Feedback – Evaluate student progress through quizzes,

assignments, and hands-on projects while offering constructive feedback.

7. Placement Support – Offer interview preparation, resume reviews, and career

guidance to help learners secure job placements.

8. Training Content Management – Manage training assets including session

presentations, assignments, quizzes, and other learning materials.

What You’ll Need

We’re looking for someone who combines strong technical expertise with a passion for

teaching and mentoring. The ideal candidate should possess:

1. Training Expertise – Proven experience delivering training in Tableau, Excel, SQL,

Python, Statistics, and Power BI.

2. Technical Proficiency – Strong knowledge of data tools and libraries like

Pandas, NumPy, Scikit-learn, and TensorFlow. Familiarity with Machine Learning,

Big Data, and BI tools.

3. Analytical Thinking – Ability to interpret large datasets, identify insights, and

perform data-driven decision-making. Skilled in statistical analysis and model

building.

4. Teaching & Mentorship Skills – Passion for education with the ability to explain

complex concepts in a simple and engaging manner.

5. Communication Skills – Ability to deliver training in English, with excellent

verbal and written communication skills to convey complex ideas clearly to

diverse learners.

6. Up-to-Date Knowledge – Awareness of current trends, tools, and best practices

in the field of data analytics.

7. Engaging Delivery Style – Ability to make learning enjoyable and effective

through interactivity and real-world examples.

Compensation

• Position Type : Full-Time

• Salary : As per industry standards and experience

• ESOPs : Offered on performance based as part of loyalty benefits

Perks & Benefits

1. Impact-Driven Role – Help students launch high-paying careers in data

analytics.

2. Work with Leadership – Collaborate directly with industry leaders and the

founding team.

3. Career Growth – Opportunity to grow into leadership or curriculum design roles.

4. Learning Environment – Continuous learning through internal training and

knowledge-sharing sessions.

About SkilloVilla

SkilloVilla is on a mission to bridge the gap between education and employment by

empowering graduates with industry-relevant skills. We focus on real-world job

requirements, enabling learners to secure high-paying jobs and fast-track their careers.

Our platform includes upskilling programs, resume support, mock interviews, and

placement opportunities with top-tier companies.

Our Founding Team

• Ronak Agrawal (CEO): IIT Delhi, Ex-Business Head, Cuemath

• Rajat Agrawal (CTO): IIIT Hyderabad, Ex-Tech Lead, Swiggy

• Deepak Kharol (COO): IIT Delhi, Ex-Sr. Growth Manager, Swiggy

Our Culture

1. Innovators at Heart – We constantly explore new ways to solve real problems.

2. Fast Executioners – We move quickly and efficiently in everything we do.

3. Ownership Mindset – Every individual owns their outcomes and drives impact.

4. Customer-Centric Approach – Learners are at the core of every decision we

make.

5. Open & Fun Work Environment – We value transparency, collaboration, and a

youthful vibe.

Ready to inspire future data professionals and make a lasting impact? Join

SkilloVilla and be a part of the change!

• 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.

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out

Looking to jump-start your career?

We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth

Role: Senior Manager - Data & Analytics

Description: You will be responsible for: We are seeking a dynamic and experienced Senior Manager/Director to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.

• Leads analytic engagements managing all stakeholders

• Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy

• Lead the assessment of existing ecosystems across key pillars, including client business portfolio plans & objectives, technical architecture, data/ML models etc and challenge conventional approaches as needed

• Identify and recommend thoughtful next steps and strategies. Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes

• Find creative and innovative solutions to increasingly complex problems. Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives

• Makes quantitatively-oriented recommendations to solve business problems & demonstrate proficiency in understanding and working with diverse datasets, and assess their suitability for integration into the proposed solution

• In-charge of discovery and requirements gathering. Apply data science skills to ensure robust and scalable model deployment.

• Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process

• Provide training and support to internal teams to ensure smooth and continued success on project implementations

• Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team

• Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements

• Support business development activities by building new capabilities and participating in client meetings as a subject matter expert

• Provide thought leadership by contributing to whitepapers and articles at the BU and organization level

• Monitor industry trends and implement best practices to improve in-house capabilities

• Enforces all policies and procedures for programming, project documentation, and system management

We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

• Bachelor's degree in Business Administration, Computer Science, or related field (Master's degree preferred).

• Overall 13+ years of experience and 5+ overall years of experience in leading analytical projects in pharma domain

• Experience in pharma omnichannel analytics or in at least 2 among sales force analytics, patient analytics, digital analytics, commercial analytics domains

• Experience in Advanced analytics including Statistics, Gen AI, Ensemble, deep learning predictive models and MLOPs

• Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirements

• Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing will be an added advantage

• Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships

• Strong analytical and problem-solving abilities, with a keen attention to detail and willing to learn in a fast-paced environment

• Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments

• Willing to work in a highly demanding and result-oriented team environment

• Excellent communication skills; able to grasp and communicate complex ideas clearly

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

About Omnicom Global Solutions

Omnicom Global Solutions (OGS) is an agile innovation hub of Omnicom Group, a leading global marketing and corporate communications company. Guided by the principles of Knowledge, Innovation, and Transformation, OGS is designed to deliver scalable, customized, and contextualized solutions that meet the evolving needs of our Practice Areas within Omnicom.

OGS India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management.

We currently have 4000+ awesome colleagues in OGS India who are committed to solving our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey.

Let us build this, together!

About Our Agency Snow Companies

The first and largest global patient engagement agency, innovating direct-to-patient marketing since 2001. Our core business focuses on partnering with biotech and pharma brands to connect with real patients and caregivers to design and implement direct-to-patient initiatives. Whether we’re building connections between brands and their patients or crafting compliant, patient-facing communications, we create content that enlightens and empowers. No other agency has made a bigger impact on the lives of patients around the world.

Why Join Us?

At Omnicom Health, you’re not just starting a job—you’re becoming part of something bigger. As one of the largest and most specialized global healthcare networks, we’re dedicated to building the ideas and solutions of tomorrow. Your career here is about growth, impact, and the chance to shape the future of healthcare. Every day, the work you do will contribute to a greater cause, making a real difference in people’s lives.

JOB SUMMARY

• The Data Analytics Reporting Lead will play a key role in providing campaign analytics to help Snow’s healthcare clients make informed marketing decisions, measure program success, and tell a business impact story.

• The person in this role should support the team in insight and requirement gathering from stakeholders and bring those insights to Strategy & Insights leadership.

• All members of the this team are expected to provide excellent customer service.

• This position will support the development and communication of key metrics & analysis for Snow’s omnichannel direct-to-patient marketing programs which may include direct mail, email, live events, call centers, mentor programs, texting, digital media, and social media.

• The Data Analytics Reporting Lead reports to Strategy and Insights leadership.

The Data Analytics Reporting Lead must be able to perform the following essential duties and functions:

• Obtain a functional understanding of the use of Snow’s systems and applications. Export, consolidate, and analyze data sets from multiple marketing/database platforms.

• Audit data for consistency, accuracy, completeness, and regulatory adherence. Identify key insights and make strategic recommendations based on findings from data analysis.

• Utilize excellent writing skills and independent judgment to condense information quickly and present analysis and conclusions in an efficient, logical manner. Must be able to utilize discretion and judgment and think through the lens of what clients and accounts need.

• Independently produce weekly/monthly/quarterly/EOY & ad hoc reports and dashboards to tell the story of a campaign effectively and efficiently with minimal oversight and errors.

• Monitor and track key email marketing metrics including delivery, open rates, click rates, conversion, and opt-outs.

• Generate insightful visualizations to depict trends in data and inform recommendations.

• Demonstrate a holistic understanding of both multi- and omnichannel marketing strategies by guiding their implementation to optimize engagement and increase audience retention.

• Partner with key internal stakeholders, including account services, event management, call centers, digital, technology solutions, and database management to design and implement measurement plans for direct-to-patient marketing programs.

• Independently prepare for, run and present all client work within the analytics umbrella.

• Consistently and confidently interact with clients and advise them, while keeping manager informed before and afterward.

• While keeping supervisor informed, drive timelines and next steps with account team, project management team, and shared services team, operating with a full understanding of the project.

• Own and understand client and patient-specific insights, wants, and needs and incorporate them into briefs and client work with little to no coaching and supervision while keeping supervisor informed.

• Develop company benchmark goals and case studies.

• Provide technical guidance to Senior Marketing Analytics Managers I and II and MarketingAnalytics Managers

• Regularly provide solutions to manager, teammates, and clients

• Collaborate positively with clients and teammates.