Analytics Manager

About Adnaut

The advertising technology (Ad-Tech) industry is an $800 billion ecosystem, where brands rely on targeting consumers across the digital landscape. Yet, there are no unified solutions that simplify this complexity. Tech giants like Google, Meta, and even leading consumer-tech companies like Amazon, Uber, and Netflix depend on advertising revenue while navigating an ever-evolving ecosystem filled with high-velocity, diverse, and technically challenging problems for advertisers. Digital advertising remains fragmented, with multiple siloed channels, a lack of comprehensive measurement solutions, a shortage of all-in-one expert teams, and significant inefficiencies leading to wasted impressions and ad spend.

Adnaut is a digital media consultancy that empowers advertisers to make data-smart media investments, maximizing business outcomes with precision and efficiency. As a navigator in the Ad-Tech universe, our vision is to elevate marketing standards through conscious decisions that prioritize both business and environmental sustainability—delivering impact, one impression at a time. We push the boundaries of advertising technology by developing solutions that keep advertisers at the core of everything we do.

Our key services include Digital Media, Data & Strategy, and Analytics & AI solutions. Through these, we ensure that every ad spend counts, driving decisions that shape the future of Ad-Tech—boldly, fearlessly, and sustainably.

Our Analytics & AI services encompass: Unified Marketing Dashboards, Marketing Intelligence & Insights, Predictive Analytics, Marketing Effectiveness Measurement, Marketing Mix Modeling – Maximizing ROI across channels, AI-Led Optimization, Custom algorithms to enhance digital media productivity. At Adnaut, we transform advertising into a strategic, data-powered force—one that drives measurable success in an increasingly complex digital world.. 

Job Overview

As an Analytics Manager at Adnaut, you will leverage your extensive experience in marketing, data analytics, statistics and machine learning to drive data-driven strategies and decision-making. Leading a team of analysts and data scientists, you will work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.

Key Responsibilities

• Team Leadership & Development:
  • Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.
  • Provide training and guidance on analytics best practices, tools, and methodologies.
  • Ensure alignment of team goals with organizational objectives.
• Strategic Analytics Planning:
  • Collaborate with stakeholders to understand business objectives and design data-driven solutions.
  • Develop long-term analytics roadmaps and strategies that align with client and company goals.
  • Translate complex business problems into actionable analytical frameworks.
• Advanced Analytics Implementation:
  • Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
  • Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization.
  • Ensure robust model evaluation, validation, and deployment processes.
• Data Governance & Quality Assurance:
  • Oversee data integrity, accuracy, and consistency across all analytics projects.
  • Establish data governance policies and ensure compliance with data security standards.
  • Streamline ETL (Extract, Transform, Load) processes for efficient data management.
• Client Engagement & Delivery:
  • Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics.
  • Oversee the creation of compelling data visualizations and dashboards tailored to client needs.
  • Manage client expectations and ensure timely delivery of analytics projects.
• Cross-Functional Collaboration:
  • Work with product and marketing teams to integrate analytics into decision-making processes.
  • Drive alignment between analytics initiatives and broader business strategies.
• Innovation & Continuous Improvement:
  • Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities.
  • Encourage a culture of experimentation, leveraging cutting-edge tools and techniques.

Requirements and Skills: 

• Experience:
  • 4-5+ years of professional experience in analytics, data science, or related roles.
  • Proven track record of managing analytics teams and delivering high-impact projects.
  • Experience in the ad-tech or digital marketing industry is a plus.
• Technical Expertise:
  • Advanced proficiency in Python, SQL, and Statistical techniques.
  • Strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn).
  • Expertise in data visualization tools (Power BI, Tableau)
  • Experience with cloud platforms like GCP (BigQuery) or AWS (RedShift)
  • Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.
• Leadership & Collaboration:
  • Exceptional leadership skills with the ability to inspire and motivate teams.
  • Strong interpersonal skills to build effective relationships with stakeholders and clients.
  • Ability to manage multiple projects in a fast-paced, agile environment.
• Strategic Thinking:
  • Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation and campaign optimization.
  • Ability to think critically and solve complex business problems with data-driven solutions.
• Communication:
  • Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences.
  • Experience in preparing executive-level reports and presentations.

Benefits & Perks

• Opportunity to work with world-leading technologists and mission-driven organizations.
• Collaborate with top-tier talent and accelerate your career growth.
• A dynamic, innovative environment that encourages learning and experimentation.
• ESOP options.
• Remote work flexibility.