Decision Science Analyst

24 hours ago

Noida, Uttar Pradesh, India Three Across Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are seeking an experienced Data Science Decision Analyst with strong expertise in analytics, reporting, and data-driven strategy.

The role involves developing advanced analytical solutions, leveraging big data technologies, and collaborating with business teams to deliver actionable insights and value propositions.

The ideal candidate will have hands-on experience in Python, SQL, visualization tools, and machine learning, along with the ability to drive data strategy at scale.

Key Responsibilities :

- Design, develop, and deploy data-driven analytical models to support business decision-making.

- Conduct advanced analytics and reporting using structured and unstructured datasets.

- Implement and optimize machine learning operations (MLOps) to enhance predictive and prescriptive capabilities.

- Leverage PySpark and other big data tools for scalable analytics.

- Write, review, and optimize Python and SQL code for analytics workflows.

- Work with Big Data platforms to process, analyze, and interpret large-scale datasets.

- Collaborate with data engineers and architects to ensure robust data pipelines and quality standards.

- Create impactful dashboards and reports using Power BI and Tableau.

- Translate complex analytical findings into business-friendly insights.

- Present findings and recommendations to senior stakeholders to drive strategic decision-making.

- Utilize AWS services for data storage, processing, and analytics.

- Stay updated with emerging technologies in data science, AI/ML, and cloud ecosystems to propose enhancements.

- Articulate value propositions and identify enhancement opportunities for business functions through analytics.

- Contribute to the data strategy roadmap, aligning with organizational goals.

- Partner with cross-functional teams to integrate analytics into core business processes.

Required Skills & Qualifications :

Experience :

- 68 years in Data Science / Analytics / Reporting.

- Strong proficiency in Python and SQL (mandatory).

- Hands-on experience with Big Data tools and platforms.

- Expertise in PySpark for distributed computing.

- Knowledge of Machine Learning Operations (MLOps).

- Visualization expertise in Power BI and Tableau.

- Exposure to AWS cloud services (preferred).

- Strong analytical and problem-solving abilities.

- Excellent communication and data storytelling skills.

- Strategic thinking with the ability to influence senior stakeholders.

- Strong collaboration and cross-functional teamwork capabilities.

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or related fields.

Assessment Areas (for selection process) :

- Proficiency in Python and SQL coding.

- Knowledge of Big Data tools, PySpark, Power BI, Tableau.

- Strategic and analytical thinking abilities.

- Problem-solving and technical application to real-world business scenarios.

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