183 Data Analytics jobs in Jaipur

We are seeking an experienced Oracle Analytics Server professional to join our team.

The ideal candidate will be responsible for managing and maintaining Oracle Analytics Server, ensuring optimal performance and availability.

• Install, configure, and upgrade Oracle Analytics Server environments
• Monitor and optimize performance of OAS applications and perform regular maintenance
• Provide technical support for OAS users, troubleshoot issues, and resolve problems in a timely manner
• Develop and maintain documentation for OAS procedures, configurations, and customizations
• Collaborate with data engineers and business analysts to ensure data quality and integrity
• Implement security measures to safeguard sensitive data and ensure compliance with organizational policies
• Stay updated with latest OAS features and enhancements, and assess their applicability to improve existing solutions
• Conduct training sessions and provide ongoing support to users regarding OAS functionality and best practices

To succeed in this role, the ideal candidate will possess a bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as an OAS Administrator or in a similar role is essential. Strong understanding of database management, data warehousing, and business intelligence concepts is required.

Opportunities for professional growth and development in a forward-thinking organization make this a compelling opportunity for those passionate about data analytics.

Why Join Us?

We’re looking for highly skilled, passionate, and motivated individuals who are excited

about shaping the next generation of data professionals. Here’s why you should

consider joining our team:

1. Empower Future Talent – Play a key role in transforming lives by teaching real world data skills.

2. Growth & Recognition – Fast-track your career in a rapidly growing ed-tech

startup with leadership opportunities.

3. Innovative Work Culture – Thrive in a dynamic, collaborative, and flexible work

environment that values creativity and ownership.

4. Be a Part-Owner of the Company – ESOPs offered on performance based as a

loyalty benefit.

5. Make Real Impact – Your contribution directly affects learners’ career success.

What You’ll Do

As a Data Analytics Instructor at SkilloVilla, you will be instrumental in delivering

cutting-edge, industry-relevant training to aspiring data professionals. Your core

responsibilities will include:

1. Training Delivery – Deliver structured, interactive, and engaging training

sessions tailored to varying learner levels – from beginners to advanced.

2. Content Development – Develop content through research to create up-todate, comprehensive, and practical training materials and resources.

3. Project-Based Learning – Guide students through real-world data analytics

projects covering topics such as data analysis, machine learning, statistical

modeling, and data visualization.

4. Mentorship & Support – Provide personalized guidance, resolve student

queries, and support learners through challenges in their educational and career

journey.

5. Interactive Learning – Create a collaborative, problem-solving learning

environment that encourages active participation and critical thinking.

6. Assessment & Feedback – Evaluate student progress through quizzes,

assignments, and hands-on projects while offering constructive feedback.

7. Placement Support – Offer interview preparation, resume reviews, and career

guidance to help learners secure job placements.

8. Training Content Management – Manage training assets including session

presentations, assignments, quizzes, and other learning materials.

What You’ll Need

We’re looking for someone who combines strong technical expertise with a passion for

teaching and mentoring. The ideal candidate should possess:

1. Training Expertise – Proven experience delivering training in Tableau, Excel, SQL,

Python, Statistics, and Power BI.

2. Technical Proficiency – Strong knowledge of data tools and libraries like

Pandas, NumPy, Scikit-learn, and TensorFlow. Familiarity with Machine Learning,

Big Data, and BI tools.

3. Analytical Thinking – Ability to interpret large datasets, identify insights, and

perform data-driven decision-making. Skilled in statistical analysis and model

building.

4. Teaching & Mentorship Skills – Passion for education with the ability to explain

complex concepts in a simple and engaging manner.

5. Communication Skills – Ability to deliver training in English, with excellent

verbal and written communication skills to convey complex ideas clearly to

diverse learners.

6. Up-to-Date Knowledge – Awareness of current trends, tools, and best practices

in the field of data analytics.

7. Engaging Delivery Style – Ability to make learning enjoyable and effective

through interactivity and real-world examples.

Compensation

• Position Type : Full-Time

• Salary : As per industry standards and experience

• ESOPs : Offered on performance based as part of loyalty benefits

Perks & Benefits

1. Impact-Driven Role – Help students launch high-paying careers in data

analytics.

2. Work with Leadership – Collaborate directly with industry leaders and the

founding team.

3. Career Growth – Opportunity to grow into leadership or curriculum design roles.

4. Learning Environment – Continuous learning through internal training and

knowledge-sharing sessions.

About SkilloVilla

SkilloVilla is on a mission to bridge the gap between education and employment by

empowering graduates with industry-relevant skills. We focus on real-world job

requirements, enabling learners to secure high-paying jobs and fast-track their careers.

Our platform includes upskilling programs, resume support, mock interviews, and

placement opportunities with top-tier companies.

Our Founding Team

• Ronak Agrawal (CEO): IIT Delhi, Ex-Business Head, Cuemath

• Rajat Agrawal (CTO): IIIT Hyderabad, Ex-Tech Lead, Swiggy

• Deepak Kharol (COO): IIT Delhi, Ex-Sr. Growth Manager, Swiggy

Our Culture

1. Innovators at Heart – We constantly explore new ways to solve real problems.

2. Fast Executioners – We move quickly and efficiently in everything we do.

3. Ownership Mindset – Every individual owns their outcomes and drives impact.

4. Customer-Centric Approach – Learners are at the core of every decision we

make.

5. Open & Fun Work Environment – We value transparency, collaboration, and a

youthful vibe.

Ready to inspire future data professionals and make a lasting impact? Join

SkilloVilla and be a part of the change!

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting

• Assist in data extraction, transformation, and loading processes.
• Perform data cleaning and pre-processing to ensure data quality and consistency.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Create insightful data visualizations using tools like Tableau or Power BI.
• Support the development and testing of basic statistical and machine learning models.
• Collaborate with team members on data-related projects.
• Document analytical processes and findings.
• Learn and apply new analytical techniques and tools.
• Contribute to team discussions and problem-solving sessions.
• Help prepare reports and presentations on data analysis outcomes.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in Excel is required; knowledge of SQL is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Basic programming skills (e.g., Python, R) are a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote environment.
• Eagerness to learn and adapt to new technologies.

• Assisting in data collection, cleaning, and preparation for analysis.
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Developing SQL queries to extract and manipulate data from various sources.
• Supporting the creation of dashboards and reports using data visualization tools.
• Learning and applying statistical modeling techniques.
• Collaborating with senior analysts on data-driven projects.
• Contributing to the documentation of data processes and findings.
• Participating in team meetings and brainstorming sessions.
• Gaining exposure to business intelligence and data warehousing concepts.
• Developing foundational skills in programming languages like Python or R for data analysis.