Associate Manager - Data Campaign Analysis - Professional Services

Data campaign Analysis -Associate Manager

About The Company:

ARA's client is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and company Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

The Role: The role is Drive the development and execution of data-driven strategies, contributing to the organization's overall goals and business objectives

Key Responsibilities:

- Develop and implement AI/ML models to deliver data-driven insights and innovative solutions for business stakeholders.

- Translate data-driven findings into clear and concise recommendations for both technical and non-technical audiences.

- Enable marketing stakeholders to make strategic recommendations based on insights from data science solutions to help shape the organization's future direction.

- Analyze structured as well as non-structured data using advanced analytics and NLP techniques and visualize the findings in an intuitive manner.

- Provide thought leadership and stay updated with the latest advancements in data science, Gen AI, and machine learning techniques.

- Ensure data quality, integrity, and privacy by implementing best practices for data collection, processing, and storage.

- Contribute to a collaborative

Skills Required:

- Expertise in machine learning, generative AI, and statistical analysis with strong hands-on programming skills in Python and SQL.

- Proficiency in working with cloud computing environments such as Google Cloud, AWS, Azure and/or Snowflake.

- Strong problem-solving and organizational skills with the ability to derive insights from data and manage multiple projects simultaneously.

- Strong analytical mindset and skills, including the ability to break down complex needs into milestone-based deliverables.

- Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.

- Prior experience with digital marketing data sources and technologies such as Adobe Analytics, Sales Force, Sprinklr and Eloqua is strongly preferred.

- Experience in collaborating with BI and Data Management teams on processes and architectures that support analytics needs

- English language proficiency

Qualifications & Experience:

- Bachelor's/PG degree in quantitative field such as computer science, data science or a related field with at least 5 years of experience as a data scientist.

- 5-8+ years experience data science

- B2B marketing analytics a plus