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