A Data Analyst role within Deloitte’s Technology & Transformation (T&T) – Enterprise Applications & Data (EAD) – OIDS – Advisory & Management (AM) practice is a high-value opportunity for professionals who want to build a career in enterprise data analytics, digital transformation, and advisory services. This role focuses on using data to drive insights, improve business processes, and support large-scale transformation initiatives for enterprise and public-sector clients. Based in Delhi, India, this position offers strong exposure to consulting-grade analytics work and long-term career growth.
Company Snapshot
is one of the world’s largest professional services organizations, operating across consulting, audit, tax, risk, and financial advisory. Deloitte’s Technology & Transformation practice helps organizations modernize systems, leverage data, and adopt digital-first operating models. Working at Deloitte means exposure to structured methodologies, global clients, and enterprise-scale data problems.
Role Overview – Data Analyst (T&T EAD OIDS AM)
The Data Analyst role in this practice focuses on supporting data-driven decision-making within technology-enabled transformation projects. Analysts work with structured and semi-structured data, build analytical outputs, and collaborate with consultants and client stakeholders to translate data into actionable business insights.
Key role details:
- Position: Data Analyst – T&T EAD OIDS AM
- Qualification: Bachelor’s / Master’s Degree in Engineering, Science, Mathematics, Economics, Business, or related fields
- Experience Level: Freshers / Experienced
- Employment Type: Full Time
- Location: Delhi, India
- Domain: Data Analytics / Enterprise Analytics / Consulting
Role Purpose and Business Impact
The core purpose of this role is to enable data-led transformation. Data Analysts support advisory teams by analyzing operational, financial, and technology data to uncover patterns, risks, and opportunities. Their work directly influences client recommendations, technology adoption strategies, and performance improvement initiatives, making this a high-impact role within consulting engagements.
Key Responsibilities
- Collect, clean, and validate data from enterprise systems and multiple sources
- Perform exploratory data analysis to identify trends, anomalies, and insights
- Build dashboards, reports, and analytical summaries for stakeholders
- Support consulting teams with data-backed insights and evidence
- Assist in defining KPIs and metrics aligned with transformation goals
- Collaborate with cross-functional teams to understand business requirements
- Ensure data accuracy, consistency, and documentation standards
- Support automation and analytics enablement initiatives
Technical and Analytical Skills Required
- Strong foundation in data analysis and logical reasoning
- Proficiency in Excel and SQL for data handling and analysis
- Exposure to data visualization tools such as Power BI or Tableau
- Basic understanding of statistics and analytical techniques
- Familiarity with enterprise data environments and reporting workflows
- Ability to translate data findings into clear business insights
- Strong attention to detail and data quality
Who Can Apply
- Fresh graduates with strong quantitative or analytical backgrounds
- Candidates with academic projects or internships in analytics or data domains
- Early-career professionals seeking consulting and enterprise exposure
- Individuals interested in technology-enabled business transformation
Prior consulting experience is not mandatory; strong fundamentals and learning ability are key.
Work Environment and Learning Culture
The work culture emphasizes structured problem-solving, collaboration, and continuous learning. Data Analysts work closely with consultants, architects, and client teams, gaining exposure to real-world transformation projects. Deloitte supports professional growth through formal training, certifications, mentorship, and access to global knowledge resources.
Career Growth Opportunities
Starting as a Data Analyst in this practice can lead to roles such as:
- Senior Data Analyst
- Analytics Consultant
- Business or Technology Analyst
- Data & Insights Specialist
- Transformation Consultant
- Managerial and leadership roles within consulting
The consulting exposure and analytics foundation make this role highly valuable across industries.
Why This Role Is Career-Strong
- Combines analytics with consulting and enterprise transformation
- Exposure to large-scale, high-impact client projects
- Strong demand for data analytics skills in consulting and technology
- Clear learning, certification, and career progression pathways
- Long-term relevance across analytics, advisory, and strategy roles
Selection Process
- Online application and resume screening
- Assessment of analytical and problem-solving skills
- Interviews focusing on data reasoning, tools, and communication
- Behavioral discussion to assess consulting mindset and teamwork
Candidates who can clearly explain their analysis and business understanding tend to perform well.
