Analyst jobs in India

The candidate should be highly analytical and detail-oriented FP&A (Financial Planning & Analysis) Analyst to join the finance team with prior work experience working with business facing teams like sales and operations.

positionis responsible for supporting, extending, and improving operationalefficiencies within Human Resources. They will lead, as a thought partner, for customer groups, advise on business requirements, data presentation, andsupport decision making.

The Analyst \Sr. Analyst HRIS, Workday Compensation & Benefits position is responsible for supporting, extending, and improving operational efficiencieswithin Human Resources. They will lead, as a thought partner, for customer groups, advise on business requirements, data presentation, and support decisionmaking. This position will be required to be onsite.

We are seeking a dedicated Analyst to join a growing real estate company based out of Bengaluru. This role will require you to work closely with the VP - Operations & Facilities in driving the business and investment decisions based on insights derived from analysing and interpreting financial statements and data.

We are seeking a dedicated Finance professional to join in as a Senior Financial Analyst for a Leading US headquartered IT Services & Consulting Company. This role will require you to work closely with the Director of Accounting and will handle aspects such as preparation of dashboards, financial modelling, financial planning and analysis, profitability analysis, data driven insights on business and investment decisions, etc.

The role involves conducting financial analysis, evaluating market trends, and assessing investment opportunities to inform strategic decisions. The position requires strong analytical skills, expertise in financial modeling, and a solid understanding of capital markets.

A leading Domestic PE Fund is looking to hire an Analyst/Associate in their investments team.

Opportunity to lead FP&A and financial reporting for a global investment operations team, driving strategic planning, forecasting, and performance analysis. Ideal for professionals with 5-7 years of consulting finance experience and strong data visualization and modeling skills.

Exciting opportunity for a finance analyst to support a dynamic, international academic institution. This hands-on role offers exposure across accounting, budgeting, compliance, and ERP, reporting directly to the Finance Manager.

A global buyout fund is looking to on board value creation Analysts/Associates onto their team.

This is a cross-functional digital transformation role focused on bridging business needs with technology and data solutions. The person will act as a business analyst and project coordinator, driving digital initiatives across the organization.

The Lead/ Senior Tax Analyst USA Direct Tax will support Chegg's federal and multi-state income tax operations including compliance, controversy, tax provision, credits & incentives, and planning. This is a high-impact role that collaborates with cross-functional teams and supports both recurring tax operations and strategic initiatives.

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

 Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components.
 Design and develop data models using industry-standard modeling techniques and tools.

Data Retention PM/BA Hybrid

Project management to coordinate and resolve Data retention activities.

As the Head of Investment Research and Investor Relations, you will play a pivotal role in shaping the company's market narrative and positioning through deep investment insights, financial storytelling, and direct engagement with institutional investors, analysts, and other stakeholders.

A global logistics and technology powerhouse is hiring a Manager - Sales Solutions to lead a team of analysts driving pricing optimization and commercial strategy through analytics, Salesforce, mobile, and automation tools. The role offers the opportunity to lead transformation projects and collaborate with senior global stakeholders.

This person modifies SAP related software to enhance or add functionality per business requirements. This can include developing or interfacing with external software programs. Works with functional SAP analysts and internal customers to determine and design custom programming. Troubleshoots technical issues and implements software corrections as required.