Associate Director, Data Analytics

This role is predominantly an individual contributor, with responsibility for leading complex analytics engagements, developing scalable analytical solutions, and driving automation through AI-enabled capabilities. You will also mentor a small team of analysts, provide technical guidance, and contribute to capability development across the practice.

Job Description:

Key Responsibilities -

Reporting Automation & AI:

• Design and develop scalable dashboards, reporting solutions, and self-service analytics products.
• Build automated analytics workflows using SQL, python, and cloud-based data platforms.
• Develop reusable analytics frameworks and accelerators that improve efficiency and consistency across projects.
• Apply generative AI and agentic AI capabilities to automate reporting, accelerate insight generation, improve documentation, and enhance analytics workflows.

Advanced Analytics & Measurement:

• Develop statistical and machine learning models including:
  • Marketing Mix Modelling (MMM)
  • Attribution, hypothesis testing and Incrementality Measurement
  • Regression modelling & predictive Analytics
  • Customer Segmentation
• Perform campaign performance analysis, media effectiveness measurement, and competitive benchmarking.
• Translate analytical outputs into practical recommendations that improve business and marketing outcomes.

Data & Analytics Excellence:

• Ensure high standards of data quality, validation, and analytical accuracy.
• Build analytics-ready datasets and collaborate with engineering teams to improve data pipelines and reporting infrastructure.
• Work with data from major marketing platforms including Google Marketing Platform, Meta, LinkedIn, TikTok, Amazon Ads, CRM, and sales systems.
• Contribute to the development of standardized measurement methodologies and best practices.

Data Governance & Infrastructure:

• Implement data validation, quality checks, and monitoring across pipelines.
• Manage API connectors for ingesting data from Google Ads, Meta Ads, DV360, CM360, LinkedIn, and other marketing platforms.
• Build and optimize analytics-ready datasets and data models powering BI dashboards and measurement frameworks.
• Collaborate with data engineering teams to maintain ETL/ELT pipelines using Python, SQL, Airflow/Composer.
• Support cloud-based deployment of ML models using CI/CD, containerization, and orchestration tools.

Client Consulting & Stakeholder Management:

• Partner with media, strategy, planning, product, and client teams to define measurement approaches and analytical solutions.
• Present analytical findings and recommendations to clients and internal stakeholders in a clear and compelling manner.
• Translate business questions into analytical frameworks, success metrics, and measurable outcomes.
• Support new business initiatives by contributing analytical expertise during pitches and solution design.

Team Leadership & Capability Development:

• Provide technical mentorship and day-to-day guidance to junior analysts and data scientists.
• Review analytical outputs and ensure high-quality client deliverables.
• Support project planning, workload prioritization, and knowledge sharing within the team.
• Stay current with emerging analytics, AI, and marketing measurement trends, and help drive adoption across the practice.

Required Skills & Experience -

Technical Expertise:

• Must have skills:
  • SQL and cloud data warehouses (GCP, BigQuery, GCS).
    • Data Visualization & BI Tools, specifically Power BI, Google Data Studio
  • Python (pandas, scikit-learn, pyspark, keras, num-py, ML frameworks for modelling).
  • Hands-on experience in performing:
    • Predictive modelling (Regression, forecasting, attribution modelling)
    • Marketing analytics & media measurement
• Experience with advertising, campaign, impression, and media spend datasets.
• Familiarity with generative AI tools (LlamaIndex, LangChain, OpenAI, Copilot) to accelerate workflows.

Soft skills & personal attributes:

• Strong communication, storytelling ability, stakeholder and client management skills
• Ability to translate analytical outputs into business language.
• High analytical curiosity, attention to detail, and problem-solving strength.
• Collaborative mindset across analytics, engineering, product, strategy & media teams.

• Highly proactive and adaptable, thriving in fast-paced agency environments.
• Ability to guide teams toward analytical excellence and influence decision-making.

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