Senior Data Analyst/Product Manager

We are seeking a highly experienced Senior Data Analyst/Product Manager to join our team. This dual role requires a deep understanding of enterprise data, as well as expertise in AI, Data Science, and Machine Learning.

Responsibilities:

— Act as a bridge between data analytics and product management, translating complex data insights into actionable business strategies.

— Lead the analysis of large datasets to identify trends, patterns, and opportunities that can inform product development and business decisions.

— Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define data-driven product roadmaps and strategies.

— Develop and maintain data models, dashboards, and reporting tools to monitor product performance and business metrics.

— Utilize ML techniques to enhance product features and user experiences.

— Conduct thorough market research and competitor analysis to inform product positioning and strategy.

— Manage the product lifecycle from ideation to launch, ensuring alignment with business goals and user needs.

— Communicate findings and recommendations to senior management and other stakeholders through clear and concise reports and presentations.

— Stay updated on the latest trends and advancements in data analytics, AI, and ML, and integrate these into our product and business strategies.

— Mentor and guide junior data analysts, fostering a culture of continuous learning and improvement.

Requirements:

— Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

— Extensive experience as a data analyst (10+ years), with a proven track record in product management.

— Deep understanding of enterprise data management and analytics.

— Expertise in AI, Data Science, and Machine Learning, with practical experience in applying these technologies to solve business problems.

— Proficiency in data analysis tools and languages, such as SQL, Python, and visualization tools like Tableau or Power BI.

— Strong analytical and problem-solving skills, with the ability to interpret complex data and tackle the problems.

— Excellent writing, communication and presentation skills.

— Experience in leading and managing projects, with a strategic mindset and attention to detail.

— Ability to work collaboratively in a fast-paced, dynamic environment.

— A passion for data and its potential to drive business innovation.

Would be a plus:

— Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

— Experience with AWS Redshift, Athena, Quicksight

— Certifications in product management.