Find Your Dream Analytics Job in India

About Officeworks:

Officeworks' purpose is "we bring big ideas to life at low prices". We are Australia's leading omnichannel retailer of complete technology solutions, stationery, furniture, art supplies, and learning resources. We also offer services including Print & Create and Geeks2U. We begin with customers-our products and services provide solutions to our diverse range of customers across Australia, from households, students, small to large-sized businesses, governments, and schools.

About the Data and Analytics Function:

By joining the Data, Analytics and AI Hub within Officeworks' Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. You will support executing the strategy and accelerate the shift to a more digital and AI-native organisation. You'll help build advanced capabilities that sit at the core of how the business understands customers, informs decisions, invests wisely, and delivers measurable value.

The GCC is a critical enabler of Officeworks' purpose, by providing data-driven insights, trusted analytics, and scalable AI solutions that empower smarter, faster decision making and support sustainable success.

This is a unique opportunity to join as a founding member of a newly established global hub. Early joiners will help shape how data, analytics and AI shape Officeworks, influencing future ways of working, building critical capabilities, and driving the evolution of some of Officeworks' most important data and intelligence platforms.

These roles are best suited for people who enjoy:

• Working in data, analytics and AI disciplines, including data engineering, reporting, advanced analytics, machine learning, governance, and insight generation.
• Supporting global initiatives by building scalable, high quality data and AI products.
• Enabling business transformation through insight-led storytelling, experimentation, and continuous improvement.
• Thriving in an environment where your expertise is valued, your development is intentionally supported, and your work has a visible, meaningful impact on business outcomes.

Why this role exists:

The Technical Delivery Lead provides the technical leadership required to turn analytics, data science, and AI opportunities into practical, reliable, and scalable solutions. Based in our India hub, the role works across business, analytics, data, and technology teams to shape the technical delivery approach, confirm data and platform requirements, and ensure solutions are production-ready and supportable. This is a specialised technical leadership role, requiring a deep understanding of data, modelling, and delivery to connect business intent with technical execution.

Where you will make a difference:

In this role you will:

Technical Delivery Leadership:

• Lead the technical delivery approach for analytics, data science, AI, and data-enabled initiatives.
• Translate business problems and analytical requirements into practical technical delivery plans.
• Identify data, platform, integration, and reporting components required to deliver high-value solutions.
• Ensure technical delivery remains aligned to business outcomes, success measures, and operational needs.
• Provide technical guidance to squads and priority initiatives requiring advanced analytics or AI capability.

Data, Analytics & AI Delivery Support:

• Coordinate end-to-end delivery activities by working with Data Scientists, Analysts, and AI/Data Engineers.
• Confirm data availability and governance, ensuring that required data is fit for purpose and appropriately managed.
• Support model production readiness by coordinating technical inputs across distributed teams.
• Identify technical dependencies and risks early, including data quality issues and integration constraints.
• Ensure outputs can be operationalized, monitored, and supported in a production environment.

Quality, Controls & Production Readiness:

• Embed quality assurance and monitoring into the delivery lifecycle to support robust analytics and AI governance.
• Enforce the use of trusted data sources, approved tools, and appropriate security controls.
• Promote scalable and maintainable practices across all data-enabled initiatives.

Process & Continuous Improvement:

• Identify recurring delivery issues and improve ways of working across technology teams.
• Build repeatable delivery patterns, templates, and standards for data science and AI initiatives.
• Support the uplift of productionisation practices and model monitoring maturity.
• Share technical knowledge across the hub to reduce rework and improve delivery readiness.

Who you will be working with:

• Data & Analytics Hub Teams: Partnering with AI Technical Associate Managers, Engineers, Modellers, and QA Associate Analysts to coordinate delivery.
• Leadership Teams: Coordinating with leadership teams to ensure technical plans align with enterprise goals.
• Data & Technology Squads: Providing technical support and feasibility assessments for multi-disciplinary squads.
• Enterprise Stakeholders: Translating business requirements into clear technical actions and acceptance criteria.

What success looks like:

• Clarity of Delivery: Initiatives have clear technical delivery plans with well-understood dependencies and requirements.
• Operational Readiness: Solutions are thoroughly tested, documented, and fully supportable in a BAU environment.
• Risk Management: Technical risks, assumptions, and data quality issues are visible and managed proactively.
• Delivery Maturity: Execution is faster, more reliable, and utilizes repeatable patterns rather than individual knowledge

How you will lead:

Individual Contributor:

• Lives our Officeworks values and behaviors
• Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behavior
• Operates in line with applicable Officeworks company policies and Code of Conduct
• Demonstrates a strong sense of personal accountability and curiosity to learn and develop

Qualifications and work experience:

Essential:

• Education: Bachelor's degree in Computer Science, Data Science, or a related field.
• Experience: 6-8+ years experience in technical delivery roles specifically focused on analytics, data science, or AI-enabled solutions.
• Technical Mastery: Strong understanding across the data lifecycle, including modelling, integration, and productionisation.
• Leadership: Proven ability to provide technical guidance to squads and lead complex technical delivery plans.
• Adaptability: Essential knowledge of modern platforms such as Snowflake and GitHub, with the ability to adapt to new AI technologies. And cloud

Preferred:

• Specialist Skills: Experience in LLMOps/MLOps, analytics engineering, or cloud-native delivery practices.
• Retail Context: Familiarity with high-volume omnichannel retail environments and complex data migrations.

About Officeworks:

Officeworks' purpose is "we bring big ideas to life at low prices". We are Australia's leading omnichannel retailer of complete technology solutions, stationery, furniture, art supplies, and learning resources. We also offer services including Print & Create and Geeks2U. We begin with customers-our products and services provide solutions to our diverse range of customers across Australia, from households, students, small to large-sized businesses, governments, and schools.

About the Data and Analytics Function:

By joining the Data, Analytics and AI Hub within Officeworks' Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. You will support executing the strategy and accelerate the shift to a more digital and AI-native organisation. You'll help build advanced capabilities that sit at the core of how the business understands customers, informs decisions, invests wisely, and delivers measurable value.

The GCC is a critical enabler of Officeworks' purpose, by providing data-driven insights, trusted analytics, and scalable AI solutions that empower smarter, faster decision making and support sustainable success.

This is a unique opportunity to join as a founding member of a newly established global hub. Early joiners will help shape how data, analytics and AI shape Officeworks, influencing future ways of working, building critical capabilities, and driving the evolution of some of Officeworks' most important data and intelligence platforms.

These roles are best suited for people who enjoy:

• Working in data, analytics and AI disciplines, including data engineering, reporting, advanced analytics, machine learning, governance, and insight generation.
• Supporting global initiatives by building scalable, high quality data and AI products.
• Enabling business transformation through insight-led storytelling, experimentation, and continuous improvement.
• Thriving in an environment where your expertise is valued, your development is intentionally supported, and your work has a visible, meaningful impact on business outcomes.

Why this role exists:

The Technical Delivery Lead provides the technical leadership required to turn analytics, data science, and AI opportunities into practical, reliable, and scalable solutions. Based in our India hub, the role works across business, analytics, data, and technology teams to shape the technical delivery approach, confirm data and platform requirements, and ensure solutions are production-ready and supportable. This is a specialised technical leadership role, requiring a deep understanding of data, modelling, and delivery to connect business intent with technical execution.

Where you will make a difference:

In this role you will:

Technical Delivery Leadership:

• Lead the technical delivery approach for analytics, data science, AI, and data-enabled initiatives.
• Translate business problems and analytical requirements into practical technical delivery plans.
• Identify data, platform, integration, and reporting components required to deliver high-value solutions.
• Ensure technical delivery remains aligned to business outcomes, success measures, and operational needs.
• Provide technical guidance to squads and priority initiatives requiring advanced analytics or AI capability.

Data, Analytics & AI Delivery Support:

• Coordinate end-to-end delivery activities by working with Data Scientists, Analysts, and AI/Data Engineers.
• Confirm data availability and governance, ensuring that required data is fit for purpose and appropriately managed.
• Support model production readiness by coordinating technical inputs across distributed teams.
• Identify technical dependencies and risks early, including data quality issues and integration constraints.
• Ensure outputs can be operationalized, monitored, and supported in a production environment.

Quality, Controls & Production Readiness:

• Embed quality assurance and monitoring into the delivery lifecycle to support robust analytics and AI governance.
• Enforce the use of trusted data sources, approved tools, and appropriate security controls.
• Promote scalable and maintainable practices across all data-enabled initiatives.

Process & Continuous Improvement:

• Identify recurring delivery issues and improve ways of working across technology teams.
• Build repeatable delivery patterns, templates, and standards for data science and AI initiatives.
• Support the uplift of productionisation practices and model monitoring maturity.
• Share technical knowledge across the hub to reduce rework and improve delivery readiness.

Who you will be working with:

• Data & Analytics Hub Teams: Partnering with AI Technical Associate Managers, Engineers, Modellers, and QA Associate Analysts to coordinate delivery.
• Leadership Teams: Coordinating with leadership teams to ensure technical plans align with enterprise goals.
• Data & Technology Squads: Providing technical support and feasibility assessments for multi-disciplinary squads.
• Enterprise Stakeholders: Translating business requirements into clear technical actions and acceptance criteria.

What success looks like:

• Clarity of Delivery: Initiatives have clear technical delivery plans with well-understood dependencies and requirements.
• Operational Readiness: Solutions are thoroughly tested, documented, and fully supportable in a BAU environment.
• Risk Management: Technical risks, assumptions, and data quality issues are visible and managed proactively.
• Delivery Maturity: Execution is faster, more reliable, and utilizes repeatable patterns rather than individual knowledge

How you will lead:

Individual Contributor:

• Lives our Officeworks values and behaviors
• Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behavior
• Operates in line with applicable Officeworks company policies and Code of Conduct
• Demonstrates a strong sense of personal accountability and curiosity to learn and develop

Qualifications and work experience:

Essential:

• Education: Bachelor's degree in Computer Science, Data Science, or a related field.
• Experience: 6-8+ years experience in technical delivery roles specifically focused on analytics, data science, or AI-enabled solutions.
• Technical Mastery: Strong understanding across the data lifecycle, including modelling, integration, and productionisation.
• Leadership: Proven ability to provide technical guidance to squads and lead complex technical delivery plans.
• Adaptability: Essential knowledge of modern platforms such as Snowflake and GitHub, with the ability to adapt to new AI technologies. And cloud

Preferred:

• Specialist Skills: Experience in LLMOps/MLOps, analytics engineering, or cloud-native delivery practices.
• Retail Context: Familiarity with high-volume omnichannel retail environments and complex data migrations.

We are looking for an experienced Salesforce Developer with strong expertise in Salesforce Nonprofit Cloud and CRM Analytics (formerly Tableau CRM / Einstein Analytics).

The ideal candidate will have 5-7 years of Salesforce development experience and a proven track record of implementing solutions for nonprofit organizations, including donor management, fundraising, grant management, volunteer engagement, program management, and impact measurement.

The role requires hands-on development skills across the Salesforce platform, along with the ability to design and deliver actionable insights through CRM Analytics dashboards and datasets.

Key Responsibilities

Salesforce Development

Nonprofit Cloud Implementation

CRM Analytics (Einstein Analytics / Tableau CRM)

Integration & Data Management

Quality & Delivery

If Interested, please share your CV to

Grant Thornton Bharat LLP is seeking a Technical Officer to support public health programs through data management, analysis, monitoring, and reporting. The role requires working closely with government stakeholders and program teams to generate actionable insights, track program performance, and strengthen evidence-based decision-making for health initiatives

Key Responsibilities

• Manage and analyze health program data from multiple sources.
• Monitor state and district-level program performance using key health indicators.
• Conduct quantitative and qualitative data analysis, triangulation, and interpretation.
• Prepare dashboards, reports, presentations, and progress updates for stakeholders.
• Identify trends, gaps, and opportunities for program improvement.
• Support implementation and operationalization of public health programs at field level.
• Collaborate with government departments, healthcare institutions, and project teams.
• Contribute to health system strengthening and data-driven decision-making initiatives.

Eligibility Criteria

• Postgraduate degree in Public Health , Epidemiology, Health Management, Biostatistics, or related discipline.
• Minimum 2 years of relevant experience in health data management, analytics, monitoring & evaluation, or public health programs.
• Experience working o

Key Responsibilities

1. Teaching & Academic Delivery

• Deliver engaging, high-quality lectures on core subjects such as Predictive Analytics, Data Visualization, Data Mining, Business Intelligence, and Domain-Specific Analytics (Marketing, HR, Finance).
• Facilitate hands-on training sessions in dedicated Data Analytics labs using live datasets and case studies.
• Design, develop, and regularly update course modules, lesson plans, and assessments to keep pace with emerging industry trends.

2. Technical Instruction

• Instruct and train students on essential industry tools and programming languages, including Python, R, SQL, Tableau, Power BI, and Advanced Excel .
• Introduce students to advanced platforms and Big Data ecosystems where applicable (e.g., Hadoop, Apache Spark, or IBM-specific tools like Cognos and Planning Analytics).
• Guide students in applying statistical methods and basic machine learning to solve practical business problems.

3. Research & Academic Contributions

• Actively engage in academic research and publish papers in high-impact, peer-reviewed journals (Scopus/Web of Science indexed).
• Supervise and guide students through their capstone projects, dissertations, and research paper publications.
• Participate actively in Faculty Development Programs (FDPs), webinars, and international confere

Job description

Job Title:

Assistant Professor / Associate Professor

Department:

Finance, Marketing, Human Resources, General Management, Business Analytics

Location:

Mira Road (East), Mumbai

Job Summary

The Faculty PGDM contributes to the overall academic excellence and industry relevance of the program by fostering an engaging, innovative, and student-centric learning environment. The role emphasizes developing students analytical, practical, and professional competencies while supporting the institution’s academic standards and strategic objectives through contemporary teaching and research practices.

Key Responsibilities

• Deliver PGDM courses using innovative, interactive, and industry-relevant teaching methodologies
• Design, develop, and continuously update curriculum in line with emerging industry trends and academic advancements
• Maintain an active research profile with publications in reputed journals (ABDC, Scopus, Web of Science, or equivalent)
• Mentor and guide students in academic progression, career development, and research initiatives
• Engage with industry stakeholders for collaborations, live projects, guest lectures, and workshops
• Contribute to institutional development through participation in academic committees, accreditation processes, and strategic initiatives
• Promote e

Job Purpose

Under the Global head of ESG Risks, the role is responsible for strategic ownership and oversight of climate risk model development, analytics, and integration into ICAAP and stress testing exercises. The resource will lead the analytics efforts on a group wide basis in embedding climate‑related analytics into credit risk, liquidity risk, stress testing, capital planning (ICAAP), and senior management decision‑making, in line with home & host countries regulatory expectations and industry best practices.

Key Result Areas

• Provide hands-on experience in climate risk analytics, including physical and transition risk assessment, scenario analysis, stress testing and integration of climate risk into credit risk, liquidity risk, capital and stress testing frameworks.
• Own and deliver hands‑on quantitative climate risk analytics, including Physical and transition risk modelling, Climate scenario analysis, Portfolio‑level vulnerability and loss assessment.
• Ensure climate risk impacts are explicitly translated into financial risk metrics, including PD, LGD, ECL under IFRS 9, capital consumption, and risk‑weighted assets, where applicable.
• Lead climate scenario analysis and stress testing exercises, including the application of NGFS or equivalent scenarios and their translation into financial, capital, and concentration risk impacts (PD/LGD/ECL, capital, concentration risk).
  

  Mashreq

  

  2 days ago