31 Statistical Analysis jobs in Bangalore

Calling 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

Professional, Statistical Analysis

Requirements:

• Necessary- Cash Advance/ banking/ Lending business understanding.
• Necessary- Knowledge of market base sizing and portfolio analytics.
• Data Analytics and univariate analytics using Excel, Python.
• A/b testing of prices & strategies, elasticity of demand.
• Good to have- understanding of marketing campaign framework and executions.
• Eagerness to learn new software (like Palantir, Snowflake)
• Excellent communication & Interpersonal skills.

Role & Responsibilities:

• Portfolio Monitoring & reporting.
• Analysis of total addressable market (TAM) and scope analysis.
• Enhancing business rule engine and optimization of credit risk pipeline.
• Ad hoc Campaign analysis and execution on need basis.
• Conduct A/B price testing.
• Maintain elaborate analysis and process documentation, update trackers.
• Work closely with business/product team understand their need and provide the solutions.
• Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.
• Publish weekly MIS for Stakeholders summarizing current status of capabilities.

Technical Skills:

• MS Excel (Must Have)
• MS Powerpoint
• SQL
• Python
• PySpark (Good to have)
• PowerBI (Good to have)

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.

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

Calling 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

What Does a great Analytics Professional do at Fiserv?

Fiserv is looking for a talented analytical professional who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.

What will you do:

What you will need to have:

What would be nice 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.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

Job Description:

We are looking for a skilled HR manager to oversee all aspects of Human Resources practices and processes. You will support business needs and ensure the proper implementation of company strategy and objectives. The goal is to promote corporate values and enable business success through human resources management, including job design, recruitment, performance management, training & development, employment cycle changes, talent management, and facilities management services.

Responsibilities:

• Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
• Maintains the work structure by updating job requirements and job descriptions for all positions.
• Supports organization staff by establishing and interviewing program; counselling managers on candidate selection; conducting and analyzing exit interviews; and recommending changes.
• Prepares employees for assignments by establishing and conducting orientation and training programs.
• Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
• Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
• Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
• Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.

About the role
The Data Analyst in the GRP team will be responsible to analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau, Microstrategy, PyDash). The ideal candidate will have a strong analytical mindset, excellent communication skills, and a deep understanding of reporting tools front end and back end

You will be responsible for
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Driving Data analysis for testing key business hypothesis and asks, developing complex visualizations, self-service tools and cockpits for answering recurring business asks and measurements - Experience in handling quick turnaround business requests, managing stakeholder communication and solving business asks holistically going beyond the basic stakeholder asks - Ability to select the right tools and techniques for solving the problem in hand - Ensuring analysis, tools/ dashboards are developed with the right technical rigor meeting Tesco technical standards - Applied experience in handling large data-systems and datasets - Extensive experience in handling high volume, time pressured business asks and ad-hocs requests - Ability to develop production ready visualization solutions and automated reports - Contribute to development of knowledge assets and reusable modules on GitHub/Wiki- Come up with new ideas and analysis to support business priorities and solve business problems

You will need
Proven track record of handling ad-hoc analysis, developing 5-8 years of experience as a Data Analyst, with experience dashboards and visualizations based business asks. working in domains like retail, cpg and for one of the following - Strong usage of business understanding for analysis asks. functional areas - Finacne, marketing, supply chain, customer, - Exposure to analysis work within Retail domain; Space, Range, merchandising preferredMerchandising, Store Ops, Forecasting, Customer Insights, Digital, Marketing will be preferred- Expert Skills to analyze large datasets using Adv Excel, Adv SQL, Hive, Phython, - Expert Skills to develop visualizations, self-service dashboards and reports using Tableau & PowerBi, - Statistical Concepts (Correlation Analysis and Hyp. Testing), Strong DW concepts (Hadoop, Teradata), CF Standard Role Code:- Excellent analytical and problem-solving skills.  TBC- Should be comfortable dealing with variability- Strong communication and interpersonal skills. 

Whats in it for you?
At Tesco, we are committed to providing the best for you. 

As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. 

Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.  

Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. 

Salary
- Your fixed pay is the guaranteed pay as per your contract of employment. 

Performance Bonus
- Opportunity to earn additional compensation bonus based on performance, paid annually 

Leave & Time-off
- Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company's policy. 

Making Retirement Tension-FreeSalary
- In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. 

Health is Wealth
- Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. 

Mental Wellbeing
- We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.  

Financial Wellbeing
- Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.  

Save As You Earn (SAYE)
- Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.  

Physical Wellbeing
- Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. 

About Us

Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. 

Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. 

Tesco Business Solutions:

Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

Job Title:
 Analyst – Data Analysis

Job ID:
 RF445

Work Location:
Bengaluru, Karnataka (Hybrid)

Experience Required:
 1–2 Years

Job Type:
Full-Time, Permanent

Apply By:
30-Sep-2025

About the Role

We are seeking a Data Analyst to join our analytics team. The role involves analyzing complex datasets, applying visualization and storytelling techniques, and generating insights to drive business decisions across domains like retail, CPG, telecom, hospitality, supply chain, finance, or marketing.

Key Responsibilities

• Identify operational improvements and propose solutions using CI tools and techniques.
• Manipulate, analyze, and synthesize large datasets from multiple sources while ensuring data integrity.
• Deliver timely, high-quality analysis and reports within agreed KPIs.
• Develop dashboards and reports using approved tools (e.g., Tableau, PyDash).
• Engage with stakeholders to understand business problems and translate them into analytical solutions.
• Support automation of repeatable tasks and dashboard/report refresh processes.
• Write efficient, well-documented code and contribute reusable modules to shared repositories.
• Generate insights that contribute to business growth beyond the initial request.
• Collaborate with cross-functional teams to ensure analytics solutions align with business needs.

Requirements

• 1–2 years of analytics delivery experience in domains such as retail, CPG, telecom, or hospitality.
• Exposure to at least one functional area: marketing, supply chain, operations, finance, digital, merchandising, or customer analytics.
• Strong knowledge of Advanced Excel, SQL, Hive, and basic statistical concepts (correlation, hypothesis testing).
• Ability to build visualizations, self-service dashboards, and reports using Tableau.
• Familiarity with data warehouse concepts (Hadoop, Teradata).
• Experience with automation tools like Alteryx or Python is a plus.
• Strong problem-solving skills and ability to generate actionable insights.

What's in it for You

• Competitive fixed pay with annual performance-based bonuses.
• 30 days of leave (18 earned + 12 casual/sick) plus 10 national/festival holidays.
• Retirement benefits with voluntary savings options (NPS, VPF).
• Health insurance covering dependents, including parents/in-laws.
• Access to mental health programs, financial coaching, and salary advance options.
• SAYE program for long-term savings and investment growth.
• Access to a wellness-driven work culture with facilities for sports and fitness.

About the role

The Data Analyst in the GRP team will be responsible to analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau, Microstrategy, PyDash). The ideal candidate will have a strong analytical mindset, excellent communication skills, and a deep understanding of reporting tools front end and back end

You will be responsible for

• Driving Data analysis for testing key business hypothesis and asks, developing complex visualizations, self-service tools and cockpits for answering recurring business asks and measurements 

• Experience in handling quick turnaround business requests, managing stakeholder communication and solving business asks holistically going beyond the basic stakeholder asks 

• Ability to select the right tools and techniques for solving the problem in hand 

• Ensuring analysis, tools/ dashboards are developed with the right technical rigor meeting Tesco technical standards

- Applied experience in handling large data-systems and datasets 

• Extensive experience in handling high volume, time pressured business asks and ad-hocs requests

- Ability to develop production ready visualization solutions and automated reports

- Contribute to development of knowledge assets and reusable modules on GitHub/Wiki

• Come up with new ideas and analysis to support business priorities and solve business problems

You will need

5-8 years of experience as a Data Analyst, with experience working in domains like retail, cpg and for one of the following functional areas – Finacne, marketing, supply chain, customer, merchandising preferred

• Strong usage of business understanding for analysis asks. 

• Exposure to analysis work within Retail domain; Space, Range, Merchandising, Store Ops, Forecasting, Customer Insights, Digital, Marketing will be preferred

• Expert Skills to analyze large datasets using Adv Excel, Adv SQL, Hive, Phython, 

• Expert Skills to develop visualizations, self-service dashboards and reports using Tableau & PowerBi,

- Statistical Concepts (Correlation Analysis and Hyp. Testing), Strong DW concepts (Hadoop, Teradata), 

• Excellent analytical and problem-solving skills.  

• Should be comfortable dealing with variability

• Strong communication and interpersonal skills. 

Whats in it for you?
At Tesco, we are committed to providing the best for you. 

As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. 

Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.  

Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. 

Salary
- Your fixed pay is the guaranteed pay as per your contract of employment. 

Performance Bonus
- Opportunity to earn additional compensation bonus based on performance, paid annually 

Leave & Time-off
- Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company's policy. 

Making Retirement Tension-FreeSalary
- In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. 

Health is Wealth
- Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. 

Mental Wellbeing
- We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.  

Financial Wellbeing
- Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.  

Save As You Earn (SAYE)
- Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.  

Physical Wellbeing
- Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. 

About Us

Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. 

Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. 

Tesco Business Solutions:

Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

About the Role:

We are looking for a highly analytical and detail-oriented individual to join the Founders Office.

This role will focus on data reporting, business analysis, and decision-support for strategic initiatives.

You will work directly with the founders to structure data-driven insights that guide business growth.

Key Responsibilities:

Build, automate, and maintain business reports and dashboards.

Conduct deep-dive quantitative analyses to identify trends, risks, and opportunities.

Translate raw data into actionable insights for strategy and operations.

Support founders with quick-turnaround analysis for decision-making.

Requirements:

Graduate from a Tier-1 institute.

Strong quantitative aptitude with proven experience in data analysis.

Proficiency in Excel, SQL, and visualization tools.

Ability to thrive in high-velocity start-up environments.

Excellent communication and presentation skills.