Preparation for Aditi Consulting requires a dual focus on your technical toolkit and your ability to navigate corporate stakeholder environments. You should be prepared to demonstrate that you are not only capable of writing complex SQL queries but also capable of managing the lifecycle of a data project from ingestion to executive presentation.

Role-Related Knowledge – You must demonstrate mastery of SQL and proficiency in modern data visualization tools like Tableau. Interviewers look for evidence that you understand the end-to-end flow of data and can identify trends within web and AI-driven interfaces.

Problem-Solving Ability – This criterion measures your ability to structure ambiguous business questions into clear, analytical tasks. You should be ready to explain your methodology for selecting metrics and how you validate your findings before presenting them to leadership.

Communication & Leadership – As a Data Analyst, you will act as a thought partner to cross-functional teams. You will be evaluated on your ability to explain complex technical concepts to non-technical partners and your capacity to influence project roadmaps through data-backed recommendations.

The interview process at Aditi Consulting is designed for efficiency and scale, often utilizing automated systems to gather initial candidate data. You should expect a structured, somewhat rigid initial phase where you will record responses to pre-set questions. This stage is used to gauge your communication style, technical foundation, and situational judgment before your profile is reviewed by the hiring team.

Because the process relies on independent, recorded responses, it is vital that you are concise and structured in your delivery. Focus on providing clear, point-form answers that directly address the prompt, as the hiring team will review these recordings to assess your suitability for specific, high-stakes client engagements.

The visual timeline highlights the progression from automated screening to potential team-specific reviews. Use this to manage your preparation, ensuring you are ready to articulate your experience clearly without the benefit of immediate feedback from a live interviewer. Keep your answers focused on results and specific technical contributions to stand out during the review stage.

Analytics & Insights

This area focuses on your ability to transform data into strategy. Strong performance involves demonstrating a systematic approach to identifying trends and an ability to justify your analytical decisions.

Be ready to go over:

• Data storytelling – How you visualize findings to influence decision-making.
• Trend identification – How you isolate variables in complex behavioral datasets.
• Advanced concepts – Predictive modeling, A/B testing frameworks, and cohort analysis.

Example questions:

• "How do you determine which KPIs are most relevant for a new marketing campaign?"
• "Describe a time you discovered an unexpected trend in your data; what did you do?"

Stakeholder & Project Management

You will be judged on your ability to work within Agile environments and manage expectations across Marketing, Product, and Engineering teams.

Be ready to go over:

• Agile methodologies – Your experience with user stories and sprint planning.
• Stakeholder alignment – How you handle conflicting priorities from different departments.
• Documentation – The importance of maintaining clear, accessible documentation for data pipelines.

Example questions:

• "How do you handle a stakeholder who disagrees with your data-driven conclusion?"
• "What is your approach to ensuring a project stays on track when requirements change?"

As a Data Analyst at Aditi Consulting, your core responsibility is to power the data infrastructure that supports marketing performance. You will spend a significant portion of your time performing deep-dive analyses into user behavior, particularly within web and agentic AI platforms. This requires a proactive approach to identifying opportunities for optimization and presenting these findings in a compelling, narrative-driven format for executive audiences.

Beyond individual analysis, you will function as a project manager for data workstreams. This involves coordinating with engineering teams to ensure high data quality and consistent metrics, as well as serving as the primary point of contact for stakeholders. You will be expected to own the definition of user stories and provide testing support, ensuring that all reporting solutions are scalable, automated, and aligned with the broader product roadmap.

To be competitive for this position, you must possess a strong blend of technical depth and project management experience. Aditi Consulting prioritizes candidates who can hit the ground running with little oversight.

• Must-have skills – 7-10+ years of experience in analytics, advanced SQL, experience with large-scale data warehouses (Snowflake, BigQuery), and proficiency in Tableau.
• Nice-to-have skills – Prior experience with AI or agentic interface analytics, familiarity with GA4 or Adobe Analytics, and a background in marketing or product-specific data strategy.
• Soft skills – Exceptional storytelling, the ability to translate technical data into business strategy, and proven experience navigating cross-functional stakeholder requests.

The salary range provided reflects the pay scale for this position at Aditi Consulting. Use this information to benchmark your expectations and ensure the compensation aligns with your current experience level and the seniority of the role.

Q: How long does the hiring process typically take? The timeline varies, but because the initial stage is automated, the screening portion is often quite rapid. Expect a follow-up from a recruiter after your recorded responses are reviewed by the hiring team.

Q: What is the company culture like? Aditi Consulting is a fast-paced environment that emphasizes autonomy and technical excellence. Success here is often tied to your ability to manage your own project workstreams and communicate proactively with stakeholders.

Q: Is this a remote role? Many roles at Aditi Consulting are client-facing and may have specific location or hybrid requirements. Always check the specific job posting details for location constraints and ensure your recruiter confirms these during your initial contact.

• Structure your answers – Use the STAR method (Situation, Task, Action, Result) to keep your recorded answers concise and impactful.
• Be specific – Whenever possible, mention the specific tools (e.g., Snowflake, Tableau) you used to achieve a specific result.
• Focus on business impact – Don't just talk about the code you wrote; talk about how that code improved a marketing strategy or saved the team time.
• Verify the role – Due to the nature of consulting, ensure you have a clear understanding of the specific project and client you are being interviewed for to avoid wasting time on non-active roles.

The Data Analyst role at Aditi Consulting offers an exceptional opportunity to influence high-level strategy through deep technical analysis. By mastering your ability to communicate complex insights and demonstrating a disciplined approach to project management, you position yourself as a vital asset to the Data Enablement team.

Prepare by focusing on your SQL expertise and your ability to structure narratives for executive stakeholders. Leverage the insights provided here to refine your responses and approach the interview process with confidence. You can continue to explore additional resources and interview insights on Dataford to further sharpen your competitive edge. You have the skills to succeed—stay focused, be clear, and show the team the impact you can drive.