7,432 Analytics jobs in India
Advisor, Statistical Analysis
Posted 3 days ago
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We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Advisor, Statistical Analysis
Job Posting Title: Tech Lead, Statistical Analysis
What does a successful Tech Lead, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.
What you will do:
+ Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
+ Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
+ Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
+ Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
+ Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
+ Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.
What you will need to have:
+ Bachelor's or master's degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
+ Proven experience (typically 8-10 years) in analytics.
+ Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
+ Proficiency in programming languages such as Python, R, or SQL.
+ Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
+ Excellent leadership and communication skills, with the ability to inspire and motivate a team.
What would be great to have:
+ Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
+ Solid understanding of hypothesis testing, and validation methodologies.
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
+ Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Statistical Analysis Professional
Posted today
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Job Description
We are seeking a highly skilled Data Analyst to join our team. In this role, you will collect, process, and analyze data to help inform business decisions, uncover trends, and identify opportunities for growth and optimization.
- Collect and clean data from various sources to ensure accuracy and consistency
- Analyze complex datasets to identify trends, patterns, and insights
- Develop dashboards and reports using tools like Tableau, Power BI, or Excel
To be successful in this position, you should have strong analytical skills and experience with data analysis software. You should also be able to communicate complex data insights effectively to stakeholders.
Key Responsibilities:- Collect and clean data from various sources
- Analyze complex datasets
- Develop dashboards and reports
- Collaborate with cross-functional teams
- Create and maintain documentation
- Assist in A/B testing and statistical analysis
- Monitor performance metrics
About the Role:
This is a challenging opportunity for an experienced Data Analyst looking to take their skills to the next level. As a key member of our team, you will have the opportunity to work on a wide range of projects and contribute to the development of our organization.
What We Offer:
In return for your expertise, we offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
Contact Information:
Please submit your application, including your resume and cover letter, to (insert contact information). We look forward to hearing from you!
Advisor, Statistical Analysis
Posted today
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Job Description
You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.
Responsibilities
Requisition ID R-10353347 Date posted 07/21/2025 End Date 08/04/2025 City Bengaluru State/Region Karnataka Country India Location Type OnsiteCalling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Advisor, Statistical AnalysisJob Posting Title: Tech Lead, Statistical Analysis
What does a successful Tech Lead, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customer's issues.
What you will do:
What you will need to have:
What would be great to have:
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Analytics Lead / Analytics Manager
Posted today
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Job Description: Analytics Lead / Analytics Manager
Zenon Analytics is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics.
In a nutshell:
An Analytics Lead / Analytics Manager at Zenon Analytics takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications.
The role of an Analytics Lead / Analytics Manager is a critical one at Zenon; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects.
What will you do?
• Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.
• Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research.
• Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives.
• Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.
• Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations.
• Contribute analytical thought leadership to assist on Business Development proposals.
What are we looking for?
• 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions
• Strong communication skills
• Experience in managing global analytics teams in multiple locations is preferred
• Track record of analytical product development, innovation, or research (patents or publications) would be a plus
Data science expertise -
• Python / R programming
• Have worked on semi-supervised problems
• Worked on NLP unstructured data / semi structured data
• Have prior experience in pre-trained models, like BERT, Glove,
• Worked on Neural Network, with experience in Tensor Flow, PyTorch
• Model development using RNN, CNN, LSTM
• Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc
• Experience in unsupervised learning and optimisation
• Experience in model performance tuning
• Experience in Model governance and deployment
Good to have experience
• Financial services or Healthcare industry experience will be a plus
• Experience in UiPath AI Fabric
• Worked on Cloud AWS
• Experience in bigdata hadoop
• PySpark exposure
• Exposure to Transfer learning
Web Analytics - Adobe Analytics
Posted 494 days ago
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Job Description
Required Qualifications:
• Bachelors degree in Information Technology, Computer Science or a related field
• 3 years experience developing and working in marketing technology platforms
• Familiarity with cookie compliance platforms such as OneTrust
• Familiarity with tag management systems such as Adobe Launch
• Familiarity with Adobe Experience Platform Web SDK
• Knowledge of HTML, CSS, Javascript and other programming languages
• Experience debugging code within a browser
• Experience with Agile and Scrum methodologies
• Experience creating and supporting complex software in an enterprise environment
• Strong quality assurance skills. Experience collaborating with QA automation engineers
Preferred Qualifications:
• Deep experience with Adobe Launch
• Experience with OneTrust cookie compliance
• Excellent communication skills with the ability to collaborate effectively with cross-functional teams
Data Analytics
Posted today
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Roles and Responsibilities
Hiring for a Leading Private Sector BankResponsibilities :-Data Analytics
Posted today
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Job Description
Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
Requirements
Key Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
Benefits
We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
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Data, Analytics,
Posted today
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• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business