11+ ODI Jobs in India

Job Title : Oracle Analytics Cloud (OAC) / Fusion Data Intelligence (FDI) Specialist

Experience : 3 to 8 years

Location : All USI locations – Hyderabad, Bengaluru, Mumbai, Gurugram (preferred) and Pune, Chennai, Kolkata

Work Mode : Hybrid Only (2-3 days from office or all 5 days from office)

Mandatory Skills : Oracle Analytics Cloud (OAC), Fusion Data Intelligence (FDI), RPD, OAC Reports, Data Visualizations, SQL, PL/SQL, Oracle Databases, ODI, Oracle Cloud Infrastructure (OCI), DevOps tools, Agile methodology.

Key Responsibilities :

• Design, develop, and maintain solutions using Oracle Analytics Cloud (OAC).
• Build and optimize complex RPD models, OAC reports, and data visualizations.
• Utilize SQL and PL/SQL for data querying and performance optimization.
• Develop and manage applications hosted on Oracle Cloud Infrastructure (OCI).
• Support Oracle Cloud migrations, OBIEE upgrades, and integration projects.
• Collaborate with teams using the ODI (Oracle Data Integrator) tool for ETL processes.
• Implement cloud scripting using CURL for Oracle Cloud automation.
• Contribute to the design and implementation of Business Continuity and Disaster Recovery strategies for cloud applications.
• Participate in Agile development processes and DevOps practices including CI/CD and deployment orchestration.

Required Skills :

• Strong hands-on expertise in Oracle Analytics Cloud (OAC) and/or Fusion Data Intelligence (FDI).
• Deep understanding of data modeling, reporting, and visualization techniques.
• Proficiency in SQL, PL/SQL, and relational databases on Oracle.
• Familiarity with DevOps tools, version control, and deployment automation.
• Working knowledge of Oracle Cloud services, scripting, and monitoring.

Good to Have :

• Prior experience in OBIEE to OAC migrations.
• Exposure to data security models and cloud performance tuning.
• Certification in Oracle Cloud-related technologies.

Strong Enterprise SaaS Sales profile with focus on Revenue Growth & Account Management

Mandatory (Experience 1): Must have 2+ years of experience in Enterprise B2B SaaS Sales / Account Management with revenue ownership.

Mandatory (Experience 2): Must have handled large Enterprise clients (e.g., Hindalco, Britannia, Adani, or similar large conglomerates) and managed an ARR portfolio of ₹2 Cr+ from assigned accounts.

Mandatory (Experience 3): Must have proven experience in upselling and cross-selling SaaS solutions, leading commercial negotiations, preparing pricing proposals and detailed costings, and actively managing payment follow-ups with a focus on improving DSO and revenue realization.

Mandatory (Experience 4): Must have led End-to-End enterprise account lifecycle management — including CXO-level engagement, QBRs, renewals, PO management, escalations handling, and revenue expansion.

Mandatory (Company Background): Must be from B2B SaaS Product companies (Tech-enabled platforms preferred).

Mandatory (Gender) - Male candidates are preferred

Manatory (Note) - This role requires a clear 60% focus on sales (revenue generation, expansion, collections) and 40% focus on customer success

ROLES AND RESPONSIBILITIES:

You will be responsible for serving the needs of the existing customers and closing sales deals to create new customers.

KEY RESPONSIBILITIES:

• Prepare for the sales calls including conducting research and building sales decks
• Leading the prospective client calls, sending pitches, and closing new deals.
• Presenting company's products as a solution to the prospective client’s business challenge/needs
• Manage the full sales cycle from prospecting to closing for new customers
• Should be flexible working in shifts or in different time zones
• Excellent communication and interpersonal skills.
• Develop a pipeline of qualified opportunities and consistently maintain an accurate forecast
• Liaise and partner with other internal departments to manage complex sales opportunities

IDEAL CANDIDATE:

• Graduate/Postgraduate or equivalent
• 8-10 years of SaaS sales experience required
• Ability to hunt new business and manage a pipeline
• Great team player
• Strong analytical, communication, and writing skills
• Entrepreneurial spirit highly encouraged
• Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate results every day
• Great listening skills and a desire to learn proper consultative selling techniques
• High-energy and positive attitude
• Attention to detail and the ability to multitask while maintaining a high quality of work
• Confidence to overcome objections and convert interest into qualified

PERKS, BENEFITS AND WORK CULTURE:

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.

Role : Web Scraping Engineer

Experience : 2 to 3 Years

Job Location : Chennai

About OJ Commerce: 

OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention.

Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States.

As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.

Job Summary:

We are seeking a Web Scraping Engineer and Data Extraction Specialist who will play a crucial role in our data acquisition and management processes. The ideal candidate will be proficient in developing and maintaining efficient web crawlers capable of extracting data from large websites and storing it in a database. Strong expertise in Python, web crawling, and data extraction, along with familiarity with popular crawling tools and modules, is essential. Additionally, the candidate should demonstrate the ability to effectively utilize API tools for testing and retrieving data from various sources. Join our team and contribute to our data-driven success!

Responsibilities:

• Develop and maintain web crawlers in Python.
• Crawl large websites and extract data.
• Store data in a database.
• Analyze and report on data.
• Work with other engineers to develop and improve our web crawling infrastructure.
• Stay up to date on the latest crawling tools and techniques.

Required Skills and Qualifications:

• Bachelor's degree in computer science or a related field.
• 2-3 years of experience with Python and web crawling.
• Familiarity with tools / modules such as
• Scrapy, Selenium, Requests, Beautiful Soup etc.
• API tools such as Postman or equivalent. 
• Working knowledge of SQL.
• Experience with web crawling and data extraction.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Excellent communication and documentation skills.

What we Offer

• Competitive salary

• Medical Benefits/Accident Cover

• Flexi Office Working Hours

• Fast paced start up

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

Responsibilities

• Build relationships with prospective clients
• Must be comfirtable with cold calling
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 2+ years in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• CRM experience is preferred

Salary - Up to 22k In hand

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

JOB DESCRIPTION - Centre sales

We take pride in letting you know that you are interviewing with the world's largest Edtech Company and the reason for our exceptional growth lies in the DNA that we have. A true Byjuite defines his/her own limits in terms of efforts and rewards. There is no bar on the amount of incentive you can earn. Average incentive earned by a BDA in the system is around 30k monthly but our best associates make even 70-80k of incentive every month apart from their fixed salary. On an average, a performing associate gets his 1st opportunity in 1.5-2 years to become a manager and head a team of 20 people. And we have seen the best of the associates can even become a manager even before completing a year.

If you are selected to join us as an applicant trainee please find below the expectations from our end.

ATP is an Applicant Training Program where selected applicants will be a part of a 6 weeks training program and on successful completion of this training program, applicants will be given an opportunity to join us as a Business Development Associate with BYJUs.

The 6 weeks of ATP is divided into 2 phases, 2 weeks of Class Room Training(CRT) and 4 weeks of On the Job Training(OJT).
PHASE 1 : Classroom Training (CRT)

The 1st 2 weeks of the CRT Phase will be conducted in the training location where we will cover the theoretical aspect of BYJU’S sales process.
You will be involved in various activities during this phase which will be rigorously evaluated by the end of 2 weeks of the CRT program.
Only the candidates who satisfactorily complete the CRT phase will be given an opportunity to start with the next phase of the training program.

PHASE 2 : On-the-Job Training (OJT)

The 2nd stage (OJT Phase) starts from the 3rd week of training for candidates who have successfully cleared the 1st phase.
Candidates will be expected to generate revenue by implementing the theoretical knowledge acquired during the first phase into practice during the final 4 weeks of the OJT phase.
Following the completion of the ATP, all input and output numbers will be closely monitored and reviewed to evaluate your eligibility to apply for the Business Development Associate (BDA) position at BYJU'S.
Only qualifying trainees will become eligible to be offered as BDAs. (Subject to approval from management). There will be additional performance incentives that will be applicable during the training program.
The entire role will be for 6 days a week(Tuesday would be an off). The assessment parameters will include performance metrics, process adherence, behavioral aspects, quality audits, and feedback from the manager/ trainer and HR Team. Upon successfully passing the training program, you become eligible to be offered the role of BDA - Centre Sales (at 8.5 LPA(5.5 fixed + 3 variable). You will be able to start the job in the offered 'Role location' only after you join the organization as a BDA

STIPEND (ATP): INR 16600 (stipend) fixed pay for the complete training program (4 weeks) Please note, The compensation would be adjusted on a pro-rata basis based on the number of days you are active in the training program.

CTC (BDA - post qualification after training): INR 7,50,000 - 8,50,000 (4.5 lakh - 5 .5 lakh fixed pay + 3 lakh performance pay) for Centre Sales  *T&C (Package differs from city to city) 

Hiring for PAN INDIA locations 

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology