8,288 Analytics Intern jobs in India

• Understanding of multiple analytic methods such as market mix modeling and data management skills
• Proficiency in SAS, Advanced Excel, SQL, or other related tools
• Flexibility to work in different shift timings

Qualifications:

Bachelor's or Master's degree in Business Analytics, Economics, Computer Science, Operations Research, or Statistics from a Tier 1 institution.

Job Description: Analytics Lead / Analytics Manager

Zenon Analytics is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics.

In a nutshell:

An Analytics Lead / Analytics Manager at Zenon Analytics takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications.

The role of an Analytics Lead / Analytics Manager is a critical one at Zenon; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects.

What will you do?

• Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.

• Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research.

• Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives.

• Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.

• Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations.

• Contribute analytical thought leadership to assist on Business Development proposals.

What are we looking for?

• 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions

• Strong communication skills

• Experience in managing global analytics teams in multiple locations is preferred

• Track record of analytical product development, innovation, or research (patents or publications) would be a plus

Data science expertise -

• Python / R programming

• Have worked on semi-supervised problems

• Worked on NLP unstructured data / semi structured data

• Have prior experience in pre-trained models, like BERT, Glove,

• Worked on Neural Network, with experience in Tensor Flow, PyTorch

• Model development using RNN, CNN, LSTM

• Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc

• Experience in unsupervised learning and optimisation

• Experience in model performance tuning

• Experience in Model governance and deployment

Good to have experience

• Financial services or Healthcare industry experience will be a plus

• Experience in UiPath AI Fabric

• Worked on Cloud AWS

• Experience in bigdata hadoop

• PySpark exposure

• Exposure to Transfer learning

In this role, you will:

• Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
• Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
• Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
• Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
• Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
• Lead projects, teams, and mentor less experienced staff
• Partner with cross enterprise risk analysts in development of common modeling strategies

Required Qualifications:

• 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures.
• 4+ years of experience in Data Quality/Data Defects/Data Governance
• 4+ years of experience with applying and executing, reviewing controls or assurance with business processes.
• Proven experience effectively prioritizing workload to meet deadlines and work objectives.
• Proven ability to collaborate effectively with business and technical subject matter experts.
• Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements.
• Understanding of risk management practices, extensive knowledge of financial data
• Demonstrated proficient SQL experience.
• Strong analytics skills and comprehensive understanding of financial services products and risk drivers
• Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution.
• Strong ability to develop partnerships and collaborate with other business and functional area.
• Strong communication, interpersonal and leadership abilities.

Job Expectations:

• Contribute as a Subject Matter Expert (SME) to the Commercial/Consumer Lending Credit Risk team and execute on deliverables for projects with moderate to high risk for the Credit Risk organization.
• Support domains, perform data quality defect reviews and process data defect extensions, change requests and escalations
• SLA monitoring, workflow management & governance
• Issue management along with review and analysis to categorize different defects
• Monitor data quality checks internal to the process
• Control execution, tracking and maintenance evidence for audit reviews
• Partners with Finance/Controller, Audit, Control Oversight, Line of Business, Technology, and Testing teams for researching and explaining questions related to data and controls.
• Responsible for data reconciliation, and documentation in alignment with governance policies.
• Research and remediate data, production, and control issues in partnership with other SMEs and teams.
• Meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, Credit Risk procedures, regulatory reporting, and compliance requirements.

Role:  Business Intelligence & Analytics - Other

Industry Type:  IT Services & Consulting

Department:  Data Science & Analytics

Employment Type:  Full Time, Permanent

Role Category:  Business Intelligence & Analytics

Education

UG:  Any Graduate

PG:  Any Postgraduate

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programming models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications:

• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Hands-on experience in Credit Risk Analytics / Deep dive analytics .
• Experience in Acquisitionand Loss forecasting  will be a plus.
• 5+ years of SAS  & SQL experience.
• Experience in Tableau  will be a plus.
• Solid problem-solving skills.
• Ability to research, trend, and analyze data
• Good verbal, written, and interpersonal communication skills
• Good project management skills
• Ability to develop partnerships and collaborate with other business and functional area
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Knowledge and understanding of issues or change management processes
• Ability to work effectively in a virtual team environment
• Knowledge of modeling and exploratory analytical techniques.
• Ability to research and reconcile general ledger accounts.

Required Qualifications:

• Bachelors degree in Information Technology, Computer Science or a related field

• 3 years experience developing and working in marketing technology platforms

• Familiarity with cookie compliance platforms such as OneTrust

• Familiarity with tag management systems such as Adobe Launch

• Familiarity with Adobe Experience Platform Web SDK

• Knowledge of HTML, CSS, Javascript and other programming languages

• Experience debugging code within a browser

• Experience with Agile and Scrum methodologies

• Experience creating and supporting complex software in an enterprise environment

• Strong quality assurance skills. Experience collaborating with QA automation engineers

Preferred Qualifications:

• Deep experience with Adobe Launch

• Experience with OneTrust cookie compliance

• Excellent communication skills with the ability to collaborate effectively with cross-functional teams