Analytics Manager

2 weeks ago

India Adnaut Full time
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. Provide training and guidance on analytics best practices, tools, and methodologies.

~ Strategic Analytics Planning:

Collaborate with stakeholders to understand business objectives and design data-driven solutions.

Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.

Ensure robust model evaluation, validation, and deployment processes.

Own the Analytics & AI Charter

Launch and manage experiments and PoCs across key areas like campaign optimization, media planning, budget optimization and customer analytics.

Drive the vision for analytics and AI capabilities, integrating them into the company's strategic roadmap.

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.

Oversee the creation of compelling data visualizations and dashboards tailored to client needs.

Manage client expectations and ensure timely delivery of analytics projects.

Work with marketing, product and engineering teams to integrate analytics and AI solutions into decision-making processes and products.

Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities. Experience:

5+ years of professional experience in analytics, data science, or related roles.

Atleast 3 years' experience in the digital marketing industry is mandatory.

Experience in managing marketing analytics projects for international clients, specifically US and UK is mandatory.

Proven track record of managing analytics teams and delivering high impact projects.

Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.

Advanced proficiency in Python, SQL, and Statistical techniques.

Strong experience with machine learning techniques and frameworks (e.g., Expertise in data visualization tools (Power BI, Tableau)

Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.

Experience with cloud platforms like GCP (BigQuery)

Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.

Ability to manage multiple projects in a fast-paced, agile environment.

Ability to think critically and solve complex business problems with data-driven solutions.

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.

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