7,750 Big Data Analytics jobs in India

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

Responsibilities

Developing and supporting scalable, extensible, and highly available data solutions

Deliver on critical business priorities while ensuring alignment with the wider architectural vision

Identify and help address potential risks in the data supply chain

Follow and contribute to technical standards

Design and develop analytical data models

Required Qualifications & Work Experience

First Class Degree in Engineering/Technology (4-year graduate course)

4+ years’ experience implementing data-intensive solutions using agile methodologies

Experience of relational databases and using SQL for data querying, transformation and manipulation

Experience of modelling data for analytical consumers

Ability to automate and streamline the build, test and deployment of data pipelines

Experience in cloud native technologies and patterns

A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

Excellent communication and problem-solving skills

T echnical Skills (Must Have)

ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica

Big Data : Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Data Warehousing & Database Management : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

Data Modeling & Design : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

DevOps : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Technical Skills (Valuable)

Ab Initio : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets , GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows

Cloud : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs

Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls

Containerization : Fair understanding of containerization platforms like Docker, Kubernetes

File Formats : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta

Others : Basics of Job scheduler like Autosys. Basics of Entitlement management

Certification on any of the above topics would be an advantage.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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**_VOIS**:

- VO**IS **(Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 6 locations: Albania, Egypt, Hungary, India, Romania, and the UK.

Over 26,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.

Established in 2006, _VO**IS** has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.
- VOIS India:
In 2009, _VO**IS** started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 13,000 employees, _VO**IS** India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more.
- VOIS India Big Data & Analytics Unit:
Part of the Technology & Business Intelligence Units, our Big Data & Analytics unit is a team of 1,000+ global professionals. They work with 23 Vodafone markets** **across the globe** **and deliver large transformational programs. They support the Technology & Digital strategy for _VO**IS** by leveraging Data & Insights skills to improve commercial performance & enable our clients to fully embrace a data-driven culture. This amazing team works on Data Engineering, Machine Learning, Cloud Platforms like GCP, AWS, Software engineering, traditional ETL tools like AbInitio, ODI, Talend, and are helping to create Business Insights on top of Data Lakes using Qlik, Tableau, Power BI and these are just to name a few.

**Open Roles**:

- Data Engineers: experience 4-8 years
- Data Scientists: experience 4-8 years
- Data Analysts: experience 8-12 years
- Data Architects: experience 15-20 years
- Business Intelligence Developer: experience 4-8 years
- Business Intelligence Experts: experience 4-8 years
- Machine Learning Engineers: experience 4-8 years
- Business Intelligence Architects: experience 10-15 years

**Key Skills**:
Python, Artificial Intelligence (AI), Data Analysis, Data Mining, Machine Learning, Data Analytics, SQL, Data Science, Big Data Analytics, Microsoft Power BI, Google Cloud Platform (GCP), PySpark, Machine Learning Algorithms, Ab Initio, Google BigQuery, QlikView, QlikView Development, Qlik Sense, Qlik NPrinting, Oracle Data Integrator (ODI), Data Fusion, Data Flow, Apache Airflow, Cloudera, Scala, Apache Kafka, Kubeflow, Kubernetes, Google Kubernetes Engine (GKE), Amazon EKS, NoSQL and Apache Spark

_VO**IS** is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact for themselves and society. We do not discriminate based upon age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics.

As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for three years running. We have been highlighted in India’s 100 Best Workplaces for Women 2020, India’s 50 Best Workplaces for Women 2021 and The Top 75 Best Workplaces in IT & IT-BPM 2021 lists by the Great Place to Work Institute. These achievements position us among a select group of trustworthy and high performing companies which put their employees at the heart of everything they do.

By joining us, you are part of our commitment. We look forward to welcoming you into our family that represents a variety of cultures, backgrounds, perspectives, and skills!

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Analyst, Big Data Analytics & Engineering
Job Title: Senior Analyst, Value Enablement & Optimization
Job Summary
The Senior Analyst, Value Enablement & Optimization, will lead the development of data-driven frameworks, tools, and strategies that enhance value delivery across Pricing, Pre-Sales Enablement, and Customer Success. This role combines strategic thinking with technical expertise, requiring proficiency in advanced analytics, business intelligence, and automation to support scalable solutions that align with Mastercard's growth objectives. The ideal candidate is a technically skilled, innovative, and collaborative problem solver with a passion for delivering impactful insights that drive customer and revenue success.
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Key Responsibilities
Strategic Support
- Design and implement value enablement frameworks for Pricing, Pre-Sales Enablement, and Customer Success, aligning with Mastercard's growth strategies.
- Collaborate with global and regional stakeholders to ensure scalable solutions tailored to regional needs.
- Provide data-driven recommendations to optimize pricing, enhance pre-sales propositions, and ensure customer success.
- Develop project structures/frameworks and build/review presentations.
- Conduct data sanity and hygiene checks to ensure data integrity.
- Convert business problems into analytical problems for strategic development.
Technical Leadership
- Develop and deploy advanced analytics tools like ROI calculators and value dashboards.
- Use Python, R, and SQL for data analysis, modeling, and tool development.
- Create dynamic dashboards and visualizations using business intelligence platforms.
- Integrate AI/ML models to enhance tool accuracy and efficiency.
- Drive process efficiency and scalability through automation and advanced analytics.
Value Enablement Initiatives
- Build frameworks to measure and track customer value realization.
- Design tailored customer solutions and business cases with predictive models and real-time insights.
- Develop self-service analytics tools for actionable insights.
- Encourage participation in Sandbox challenges and keep regular brainstorming sessions for new ideas.
- Build agile and flexible solutions by understanding core business and context.
Revenue Optimization
- Identify and implement revenue optimization opportunities through strategic analysis.
- Monitor performance metrics to align with revenue goals and identify improvement areas.
- Develop tools to track realized ROI and provide diagnostics for customer outcomes.
Collaboration & Team Enablement
- Work closely with cross-functional teams to ensure seamless initiative execution.
- Foster a collaborative and innovative environment, encouraging knowledge sharing.
- Plan and lead working sessions with the team.
- Provide mentorship and feedback for personal and professional growth.
- Support training and enablement for internal teams on analytics tools and methodologies.
Stakeholder Management
- Create and implement roadmaps for strategic initiatives.
- Manage regular connects and alignment with stakeholders, handling escalations effectively.
- Plan and articulate standups, agendas, action items, and next steps.
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Qualifications
Experience
- 5+ years of experience in analytics, data science, pricing strategy, customer success, or related roles, ideally in the payments, financial services, or technology sectors.
- Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes.
- Expertise in programming (Python, R, SQL) and experience building scalable analytics solutions.
- Proficiency in business intelligence tools (e.g., Tableau, Power BI) for creating dashboards and data visualizations.
- Experience integrating AI/ML models to drive predictive insights and automate workflows is a strong advantage.
Skills
- Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions.
- Exceptional analytical and problem-solving skills, with a focus on deriving actionable insights from complex datasets.
- Excellent communication and stakeholder management skills, with the ability to translate technical insights into business impact.
- Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles.
Education
- Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Responsibilities:
Working in a challenging, fast-paced environment to create a meaningful impact on your work
Identify business problems & use data analysis to find answers
Code and maintain data platform & reporting analytics
Design, build and maintain data pipelines.

Qualifications

Desire to collaborate with a smart, supportive engineering team
Strong passion for data and willingness to learn new skills
Experience with NoSQL Databases (i.e. DynamoDB, Couchbase, MongoDB)
Experience with Data ETL tools (DBT and AWS Glue)
Expert knowledge in SQL and deep experience managing relational databases such as PostgreSQL
Experience coding in Python, Scala, or R
Strong understanding of how to build a data pipeline

Reviewing and analyzing data to uncover patterns and trends in behavior or public preferences
- Recommending improvements to business processes based on findings from data mining projects
- Gathering and cleaning data from multiple sources, including surveys, interviews, and public records
- Identifying opportunities for new products or services based on market research trends
- Developing models using statistics, mathematics, and computer science principles to extract information from large data setsCustomizing reports to stakeholders based on findings from data analysis projects
- Identifying new sources of data to explore based on findings from previous projects
- Recommending changes to existing business processes to improve efficiency

**Salary**: ₹9,091.04 - ₹13,000.00 per month

Schedule:

- Day shift

**Speak with the employer**
+91

**Responsibilities**:

- Conduct thorough research to identify potential leads or gather relevant data according to provided criteria.
- Utilize various online resources, databases, and tools to gather accurate and up-to-date information.
- Organize and maintain lead/data lists, ensuring data integrity and accuracy.
- Collaborate with team members to develop and implement lead generation strategies.
- Analyze data and provide regular reports to management on lead generation efforts and outcomes.
- Stay informed about industry trends and best practices in lead generation and data management.

**Requirements**:

- Proven experience in lead generation, data collection, or similar roles.
- Strong research skills with the ability to gather information from various sources.
- Proficiency in using online research tools, databases, and Microsoft Office Suite.
- Excellent communication and interpersonal skills.
- Ability to work independently and meet deadlines in a fast-paced environment.
- Attention to detail and accuracy in data entry and management.

**Job Types**: Full-time, Permanent

Pay: From ₹15,000.00 per month

**Benefits**:

- Flexible schedule
- Leave encashment

Schedule:

- Day shift
- Monday to Friday
- UK shift
- US shift

Supplemental Pay:

- Performance bonus

Work Location: In person

Candidate should be able to:
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills

Candidate should be able to:
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills

Candidate should be able to:
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills