OPZEN

Analytics Manager

Gurugram, HR, IN

13 days ago
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Summary

Overview: We are seeking a visionary and dynamic individual to lead our AI initiatives and data-driven strategies. This role is crucial in shaping the future of our company by leveraging advanced technologies to drive innovation and growth. The ideal candidate will possess a deep understanding of AI, machine learning, and data analytics, along with a proven track record in leadership and strategic execution.


Key Responsibilities:


  • Self-Driven Initiative: Take ownership of projects and drive them to successful completion with minimal supervision, demonstrating a proactive and entrepreneurial mindset.
  • Stakeholder Communication: Present insights, findings, and strategic recommendations to senior management and key stakeholders, fostering a data-driven decision-making culture.
  • Executive Collaboration: Report directly to the founders and collaborate with other senior leaders to shape the company's direction and achieve our ambitious goals.
  • Innovation & Problem-Solving: Foster a culture of innovative thinking and creative problem-solving to tackle complex challenges and drive continuous improvement.
  • AI Research & Development: Oversee AI research and development initiatives, ensuring the integration of cutting-edge technologies and methodologies.
  • Data Management: Ensure effective data collection, management, and analysis to support AI-driven decision-making and product development.



Required Skills and Qualifications:


  • Bachelor's degree from a Tier 1 institution or an MBA from a recognized institution.
  • Proven experience in a managerial role, preferably in a startup environment.
  • Strong leadership and team management skills.
  • Excellent strategic thinking and problem-solving abilities.
  • Exceptional communication and interpersonal skills.
  • Ability to thrive in a fast-paced, dynamic environment.
  • Entrepreneurial mindset with a passion for innovation and growth.
  • Extensive experience with AI technologies, machine learning, and data analytics.
  • Proficiency in programming languages such as Python, R, or similar.
  • Familiarity with data visualization tools like Tableau, Power BI, or similar.
  • Strong understanding of data governance, privacy, and security best practices.



Technical Skills:


  • Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Data Processing: Proficiency in using tools like Apache Kafka, Apache Flink, or Apache Beam for real-time data processing.
  • Database Management: Experience with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or Cassandra.
  • Big Data Technologies: Hands-on experience with Hadoop, Spark, Hive, or similar big data technologies.
  • Cloud Computing: Strong knowledge of cloud services and infrastructure, including AWS (S3, EC2, SageMaker), Google Cloud (BigQuery, Dataflow), or Azure (Data Lake, Machine Learning).
  • DevOps and MLOps: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools for deploying and managing machine learning models.
  • Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or D3.js to create insightful and interactive dashboards.
  • Natural Language Processing (NLP): Experience with NLP techniques and tools like NLTK, SpaCy, or BERT for text analysis and processing.
  • Large Language Models (LLMs): Proficiency in working with LLMs such as GPT-3, GPT-4, or similar for natural language understanding and generation tasks.
  • Computer Vision: Knowledge of computer vision technologies and libraries such as OpenCV, YOLO, or TensorFlow Object Detection API.




Preferred Experience:


  • Proven Track Record: Demonstrated success in scaling businesses or leading teams through significant growth phases, showcasing your ability to drive impactful results.
  • AI Expertise: Deep familiarity with the latest AI tools and technologies, including Generative AI applications, with a passion for staying at the forefront of technological advancements.
  • Startup Savvy: Hands-on experience in early-stage startups, with a proven ability to navigate the unique challenges and seize the opportunities that come with building a company from the ground up.
  • Finance Industry Insight: Extensive experience in the finance industry, with a comprehensive understanding of its dynamics, challenges, and opportunities, enabling you to drive innovation and deliver exceptional value to clients.


Why Join Us:


  • Opportunity to work closely with experienced founders and learn from their entrepreneurial journey.
  • Make a significant impact on a growing company and shape its future.
  • Collaborative and innovative work environment.
  • Lucrative compensation package including competitive salary and equity options.

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