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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.

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Responsibilities:

1. Candidate Sourcing:

• Utilize various recruitment channels to source potential candidates, including online job boards, social media, referrals, and professional networks.

• Review resumes and applications to identify qualified candidates who meet the position requirements.

• Conduct initial screening interviews to assess candidate suitability and gather relevant information.

2. Placement Coordination:

• Collaborate with hiring managers to understand their staffing needs and develop job descriptions and specifications.

• Coordinate interview schedules and facilitate communication between candidates and hiring managers.

• Manage the placement process, including conducting background checks, reference checks, and pre-employment assessments.

• Ensure timely feedback to candidates regarding their application status and assist in making job offers.

3. Onboarding Support:

• Assist with new hire onboarding, including collecting and verifying employment documents, conducting orientation sessions, and facilitating the completion of necessary paperwork.

• Coordinate with relevant departments to ensure new employees have the necessary resources and equipment on their first day.

• Serve as a point of contact for new hires during their initial period, addressing their queries and providing support as needed.

4. Recruitment Administration:

• Maintain accurate and up-to-date candidate records in the google sheets or HR database.

• Prepare recruitment-related reports and metrics for HR management and hiring managers.

• Contribute to the continuous improvement of recruitment processes, suggesting and implementing enhancements where appropriate.

• Stay updated on industry trends and recruitment best practices to enhance the efficiency and effectiveness of the placement process.

Qualifications:

• Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent experience).

• Previous experience in HR recruitment, placement coordination, or talent acquisition is preferred.

• Strong interpersonal and communication skills, both written and verbal.

• Excellent organizational and time management abilities.

• Ability to maintain confidentiality and handle sensitive information.

• Attention to detail and accuracy in handling candidate and employee data.

• Proficiency in MS Office Suite (Word, Excel, PowerPoint) and HR software applications.

Note: The job description