Chief Data Strategy Officer
3 days ago
Adani Digital Labs is seeking a highly experienced Data Strategy Leader to drive the company's data-driven initiatives. The ideal candidate will have over 8+ years of experience in data analysis, machine learning, and analytics, with expertise in SQL, Python, and cloud technologies.
Job Overview:
We are looking for a seasoned professional to shape our data strategy, oversee data-driven decision-making, and drive advanced analytics initiatives across various business functions.
Key Responsibilities:
- Develop and execute comprehensive data strategies, providing leadership in technical and business-oriented analytics activities.
- Collaborate with senior stakeholders to identify business requirements, define KPIs, and implement data-driven solutions.
Data Analysis & Reporting:
- Oversee the collection, processing, and analysis of large datasets to support business intelligence, marketing, operations, and other strategic initiatives.
- Design, develop, and maintain advanced analytical models, reports, and dashboards to inform business decisions.
Machine Learning & Predictive Analytics:
- Apply machine learning techniques to solve complex business problems, using algorithms such as regression models, decision trees, clustering, and time series analysis.
- Stay up-to-date with emerging trends in data science and machine learning, identifying opportunities for applying these techniques to improve business outcomes.
Cross-Functional Collaboration:
- Work closely with IT, product, finance, marketing, and other departments to align data-driven insights with overall business objectives.
- Manage cross-functional projects, ensuring timely delivery of actionable insights and recommendations.
Technical Skills & Proficiency:
- Expert-level proficiency in SQL for data extraction, transformation, and analysis.
- Advanced programming skills in Python for data manipulation, analysis, and building machine learning models.
Estimated Salary: $150,000 - $200,000 per annum, depending on location and experience.
Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field required.
Desirable Attributes:
- Strong problem-solving and critical thinking abilities.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to thrive in a fast-paced, collaborative environment with competing priorities.
- Passion for data and continuous learning in the analytics and machine learning fields.
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