Analytics Manager

India - Remote

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Weekday

At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...

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This role is for one of Weekday’s clients
Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA)
Min Experience: 4 years
Location: Remote (India)
JobType: full-time

Requirements

The candidate will have responsibilities across the following functions:

 

Team Leadership and 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 and 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 and 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 and 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:

  • 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.
  • 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.
  • 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.
  • 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.
  • 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Airflow AWS BigQuery Data governance Data management Data visualization Engineering ETL GCP Machine Learning Power BI Python Redshift Scikit-learn Security Snowflake SQL Statistics Tableau TensorFlow

Perks/benefits: Career development

Regions: Remote/Anywhere Asia/Pacific
Country: India

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