What Jobs are available for Data Analytics in India?

Our client is offering a unique opportunity for motivated and enthusiastic individuals to join their Data Science & Analytics team as Apprentices. This apprenticeship program is fully remote, providing a fantastic learning experience from the comfort of your home. As a Data Science & Analytics Apprentice, you will work under the guidance of experienced data scientists and analysts, contributing to real-world projects and gaining hands-on experience in data analysis, visualization, and machine learning. Your responsibilities will include data cleaning, preprocessing, and exploratory data analysis; assisting in the development and testing of machine learning models; creating data visualizations to communicate insights; and supporting the team in generating reports and presentations. You will have the opportunity to learn and apply various data science tools and techniques, including Python, R, SQL, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn). This role requires a strong analytical mindset, a keen eye for detail, and a genuine passion for data and problem-solving. Excellent communication and collaboration skills are important, as you will be working with a remote team. The ideal candidate will be a recent graduate or an individual looking to transition into a data science career, possessing a foundational understanding of statistics and mathematics. Previous exposure to programming or data analysis tools is a plus but not strictly required, as comprehensive training will be provided. This is a fully remote apprenticeship, ideal for self-starters who are eager to learn and grow in a supportive, virtual environment. We are looking for individuals who are proactive, adaptable, and possess a strong desire to build a career in the exciting field of data science and analytics. This apprenticeship is a stepping stone to potential future opportunities within our client's organization.

Greetings fro Netsach - A Cyber Security Company.

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

Job Title: Marketing Data Science & Analytics

Exp: 3+ yrs - 10yrs 

Location: Bangalore, Onsite/WFO

Duration: 1yr Contact + Extension

Face to Face Interview is mandatory for final round.

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

Responsibilities:

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

Qualifications:

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

Thank You 

Emily Jha

Netsach - A Cyber Security Company

Greetings fro Netsach - A Cyber Security Company.

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

Job Title: Marketing Data Science & Analytics

Exp: 3+ yrs - 10yrs 

Location: Bangalore, Onsite/WFO

Duration: 1yr Contact + Extension

Face to Face Interview is mandatory for final round.

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

Responsibilities:

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

Qualifications:

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

Thank You 

Emily Jha

Netsach - A Cyber Security Company

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**Function Description:**
The AIM (Analytics, Investment & Marketing Enablement) team - a part of GCS Marketing- is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.
This Analyst (Band 30) role would be based in Gurgaon (India) and would be focused on driving sentinel measurement Analytics spanning across channels and product offerings from Amex.
**Key Responsibilities include:**
+ Support and enable the business partners with campaign measurements, ROI analysis and actionable data driven insights for acquisition & engagement treatments in GCS
+ Develop analytical solutions for GCS business teams by gathering requirements from stakeholders, performing data analysis, presenting results
+ Accurate, timely and efficient delivery of monthly results reporting for marketing & sales leadership
+ Keen on exploration and analysis of data from various data sources, translate the same to excellent visual case studies.
+ Quick learner quick to understand the business and support pilot projects amidst ambiguity
+ Collaborate with functional leaders, business partners and senior leaders to assess business needs, evaluate project feasibility, ensure data integrity, and provide actionable recommendations in times of constant change
+ Build a solid relationship/partnership with Marketing Stakeholders, drive projects end to end with full accountability and growth mindset
**Minimum Qualifications:**
+ Degree in a quantitative field preferred - e.g. B. Tech; BSc/MSc Statistics, Bachelors/master's in economics
+ Knowledge of Hive, Python, PySpark, SQL encompassing data manipulation and statistical modeling/data-mining techniques
+ Strong analytical aptitude and technical skills
+ Project Management
+ Excellent verbal, written, and interpersonal communications skills with an ability to formulate and communicate results & methodologies in a clear and compelling way
+ A demonstrated ability to work in high-pressure situations with minimal errors
+ An optimistic and growth mind-set with a tremendous will to win
+ Should be able to function with minimum supervision with high sense of ownership
+ Should be comfortable with flexible shift timings to support Global Partners
+ Strong technical and problem-solving skills
+ Strong communication and interpersonal skills
+ Ability to analyze large amounts of data and create innovative solutions
+ Ability to work effectively in a team environment
+ Ability to learn quickly and work independently with complex, unstructured initiatives
+ Ability to challenge the status quo and drive innovation
**Preferred Qualifications:**
+ 1-2 years of relevant experience with strong knowledge of skills like Python, SQL & Advanced Excel required; R also good to have.
+ Good knowledge of statistical techniques like hypothesis testing, regression, KNN, t test, chi-square test
+ Relevant experience in campaign measurement/marketing analytics is a plus
+ Experience in marketing analytics and campaign measurement preferred; relevant industry experience preferred
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
With a focus on digitization, innovation, and analytics, the Enterprise Digital (ED) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of ED is the integration of diverse skills across all its remit. ED has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.
The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value.
**Purpose of the Role:**
This role will report to the Manager of Marketing Optimization Capabilities Analytics (MOCA) team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize the performance of Media marketing channels through the application of insights from MOCA models
* Collaborate with Data science and marketing partner teams to help build out the MOCA models
* Deliver read out of models uncovering insights and learnings that can be utilized to further optimize the Media campaign performance
* Gain deep functional understanding of the channel performance over time and ensure analytical insights are relevant and actionable
* Power in-depth strategic analysis and provide analytical and decision support by mining campaign performance data and modelling outputs   
* Define and build key KPIs to monitor the channel health and success   
**Minimum Qualifications:**
1. Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
2. Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.
3. Experience in large data processing and handling, understanding in data science is a plus.
4. Ability to work in a dynamic, cross-functional environment, with strong attention to detail.
5. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.
**Preferred Qualifications:**
1. Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.
2. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test.
**Enterprise Leadership Behaviors:**
* Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
* Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
* Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

Placement Coordinator – Data Science & AI Domain

Location:  Dilsukhnagar, Hyderabad (Work from Office)

Company:  Unicus Learning

About Us:

Unicus Learning is a fast-growing EdTech company specializing in hands-on, industry-focused training in Data Science, Data Analytics, AI/ML, Python, SQL, Power BI, and Cloud Deployment . We are committed to building career-ready professionals through personalized mentorship, live projects, and a strong placement ecosystem.

Role Overview:

We are seeking a Placement Coordinator  with proven experience in managing and driving placement outcomes for learners in the Data Science and AI  domains. The ideal candidate will bring expertise from an EdTech background and demonstrate strong industry connections and placement success records.

Key Responsibilities:

• Build and maintain relationships with hiring partners, recruiters, and companies in Data Science, Analytics, and AI domains.
• Drive end-to-end placement processes for Unicus learners — from profile preparation to interview scheduling and final conversions.
• Track, report, and improve placement metrics and learner outcomes.
• Collaborate with the academic and operations teams to align student readiness with employer requirements.
• Organize mock interviews, placement drives, and career guidance sessions.

Required Experience:

• 2–3 years of experience  working as a Placement Coordinator or in a similar role within the EdTech industry .
• Proven record of successfully placing candidates in Data Science, Data Analytics, and AI/ML roles .
• Excellent communication and coordination skills.
• Strong networking ability with corporate HRs and industry partners.

Work Mode:  On-site (Dilsukhnagar Office, Hyderabad)

Salary:  Competitive, based on experience and performance.

If you’ve worked in EdTech and are familiar with Data Science or Analytics training programs, this is a great opportunity to grow with a fast-evolving learning company.

How to Apply:

Send your resume to  with the subject line “Inside Sales Executive – Unicus Learning.”

Tasks performed regularly which form the essential characteristics of the position.
**Communication:**
+ Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
+ Present and discuss data-driven observations and trends with management during closing meetings.
+ Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
+ Assist in preparing written reports that incorporate data analytics insights.
**Technical Data Analytics Skills:**
+ Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
+ Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
+ Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
+ Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
+ Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
+ Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
+ Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
**Project/People/General management:**
+ Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
+ Potentially assume further specific as well as ad-hoc responsibilities
+ Support the periodic quality assessment process
+ Conduct any audit process improvement related topics
**Quality, Legal & Compliance**
+ Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business.

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Analytics Lead to join our team in Delhi, Delhi (IN-DL), India (IN).
**Experience:** 8+ Years
**Location:** Delhi NCR
**Responsibilities:**
+ Build, manage, and foster a high-functioning team of data engineers and Data analysts.
+ Collaborate with business and technical teams to capture and prioritize platform ingestion requirements.
+ Experience of working with manufacturing industry in building a centralized data platform for self service reporting.
+ Lead the data analytics team members, providing guidance, mentorship, and support to ensure their professional growth and success.
+ Responsible for managing customer, partner, and internal data on the cloud and on-premises.
+ Evaluate and understand current data technologies and trends and promote a culture of learning.
+ Build and end to end data strategy from collecting the requirements from business to modelling the data and building reports and dashboards
**Required Skills:**
+ Experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse / Microsoft Fabric / Azure Databricks
+ Accountable for the data group's activities including architecting, developing, and maintaining a centralized data platform including our operational data, data warehouse, data lake, Data factory pipelines, and data-related services.
+ Experience in designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc
+ Strong understanding of data architecture, data modelling, and ETL processes.
+ Proficiency in SQL and Pyspark
+ Strong knowledge of building PowerBI reports and dashboards.
+ Excellent communication skills
+ Strong problem-solving and analytical skills.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**