745 Big Data Analytics jobs in Bengaluru

Roles and Responsibilities

• Identify new business opportunities through data mining techniques to drive revenue growth.
• Develop and implement effective strategies for extracting valuable insights from large datasets.
• Design and maintain databases, dashboards, and reports using Excel and other tools.
• Collaborate with cross-functional teams to integrate data analysis into business decision-making processes.

Desired Candidate Profile

• 0-3 years of experience in data extraction, analysis, or a related field.
• Proficiency in working with large datasets using various software tools (e.g., Excel).
• Excellent communication skills with the ability to present complex technical information simply.

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

Analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built

using approved tools (Tableau, PyDash)

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:

• Identifying operational improvements and finding solutions by applying CI tools and techniques
• Responsible for completing tasks and transactions within agreed KPI's
• Knows and applies fundamental work theories/concepts/processes in own areas of work
• Engage with market partners to understand problems to be solved, translate the business problems to analytical problems, taking

ownership of specified analysis and translate the answers back to decision makers in business

• Manipulating, analyzing and synthesizing large complex data sets using different sources and ensuring data quality and integrity
• Responsible for high quality and timely completion of specified work deliverables
• Support automation of repeatable tasks, report generation or dashboard refresh
• Think beyond the ask and develop analysis and reports that will contribute beyond basic asks
• Write codes that are well detailed, structured, and compute efficient
• Contribute to development of knowledge assets and reusable modules on GitHub/Wiki
• Ability to generate practical insights that drive decisions in our business operations
• Understands business needs and in depth understanding of Tesco processes
• Responsible for completing tasks and transactions within agreed important metrics

You will need

Basic understanding of Business Decisions, Basic Skills to

1-2 year Experience preferred in analytics delivery in any one of

develop visualizations, self-service dashboards and reports using

domains like retail, cpg, telecom or hospitality and for one of the

Tableau & Basic Statistical Concepts (Correlation Analysis and

following functional areas - marketing, supply chain, customer,

Hyp. Testing), Basic skills to analyze data using Adv Excel, SQL,

merchandising, operations, finance or digital preferred

Hive, Basic DW concepts on Hadoop and Teradata, Automation

using alteryx/ python is good to have

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.

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

Analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau,  PyDash)

You will be responsible for
- Identifying operational improvements and finding solutions by applying CI tools and techniques

• Responsible for completing tasks and transactions within agreed KPI's- Knows and applies fundamental work theories/concepts/processes in own areas of work-Engage with market partners to understand problems to be solved, translate the business problems to analytical problems, taking ownership of specified analysis and translate the answers back to decision makers in business-  Manipulating, analyzing and synthesizing large complex data sets using different sources and ensuring data quality and integrity-  Responsible for high quality and timely completion of specified work deliverables-  Support automation of repeatable tasks, report generation or dashboard refresh-  Think beyond the ask and develop analysis and reports that will contribute beyond basic asks-  Write codes that are well detailed, structured, and compute efficient-  Contribute to development of knowledge assets and reusable modules on GitHub/Wiki-  Ability to generate practical insights that drive decisions in our business operations-  Understands business needs and in depth understanding of Tesco processes-  Responsible for completing tasks and transactions within agreed important metrics

You will need

1-2 year Experience preferred in analytics delivery in any one of domains like retail, cpg, telecom or hospitality and for one of the following functional areas - marketing, supply chain, customer, merchandising, operations, finance or digital preferred

Basic understanding of Business Decisions, Basic Skills to develop visualizations, self-service dashboards and reports using Tableau &  Basic Statistical Concepts (Correlation Analysis and Hyp. Testing), Basic skills to analyze data using Adv Excel, SQL, Hive, Basic DW concepts on Hadoop and Teradata, Automation using alteryx/ python is good to have

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 Summary:

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

Role Description

• 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

Qualifications

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 – Finance, marketing, supply chain, customer, merchandising preferred

Operational skills relevant for this job:

• Exposure to analysis work within the 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, Python,

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

- 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.