As a Data Analytics Product Manager, you will play a pivotal role in the development and enhancement of our data analytics products. You will be responsible for translating customer needs and market trends into actionable product strategies, collaborating closely with cross-functional teams to deliver innovative solutions that drive business growth and customer satisfaction. Your deep understanding of data analytics technologies and market dynamics will enable you to guide the product roadmap and prioritize features that maximize value for our users.

Key Responsibilities:

1. Product Strategy: Develop and execute a comprehensive product strategy for our data analytics products, aligning with company goals and market demands.

2. Market Analysis: Conduct market research and analysis to identify emerging trends, competitive landscapes, and customer needs in the data analytics space.

3. Requirement Gathering: Collaborate with stakeholders to gather and prioritize product requirements, ensuring alignment with customer needs and business objectives.

4. Product Roadmap: Define and maintain the product roadmap, outlining key milestones, deliverables, and timelines for product development.

5. Feature Prioritization: Work closely with engineering, design, and other cross-functional teams to prioritize features and enhancements based on customer feedback, market trends, and business goals.

6. Product Development: Oversee the end-to-end product development lifecycle, from ideation to launch, ensuring timely delivery of high-quality solutions.

7. User Experience: Champion the user experience by collaborating with design teams to create intuitive and user-friendly interfaces for our data analytics products.

8. Product Marketing: Collaborate with marketing teams to develop go-to-market strategies, product messaging, and sales enablement materials to drive product adoption and revenue growth.

9. Performance Analysis: Define key metrics and KPIs to measure the success of our data analytics products, analyze performance data, and identify areas for optimization.

10. Cross-Functional Collaboration: Foster strong relationships with cross-functional teams, including engineering, sales, marketing, and customer success, to ensure alignment and successful execution of product initiatives.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Business Administration, or related field. Master's degree preferred.

Proven experience (8 years) in product management or related roles, with a focus on data analytics or business intelligence products.

Strong understanding of data analytics technologies, including data visualization, machine learning, and statistical analysis.

Excellent analytical skills with the ability to translate complex data into actionable insights and recommendations.

Demonstrated ability to lead cross-functional teams and drive product development initiatives from concept to launch.

Exceptional communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.

Proven track record of developing and executing successful product strategies that drive business growth and customer satisfaction.

Preferred Skills:

Experience with Agile/Scrum methodologies.

Familiarity with data management platforms and cloud technologies (e.g., AWS, Azure, Google Cloud).

Certifications in product management or data analytics (e.g., Certified Scrum Product Owner, Google Analytics Certification) are a plus.