Position Overview:
The Product Manager/Business Intelligence professional will play a crucial role in a strategic communications company by driving the development, implementation, and optimization of data-driven products and solutions. The role requires a blend of product management, business intelligence, data analytics, and strategic thinking to enhance the company's offerings and ensure customer satisfaction.
As a Product Manager/Business Intelligence Specialist, you will play a critical role in our client's company. Here are some of the key responsibilities and roles that you have:
Product Manager Roles:
- Strategic Vision and Product Development
- Product Vision: Ensure that product aligns with our client’s vision to transforms ideas, industries and nations through growth-accelerating platforms.
- Product Roadmap: Create and manage a comprehensive product roadmap for our platforms.
- Market Research: Conduct market research to understand user needs, industry trends, and competitive landscape. Use these insights to guide product development.
- Product Lifecycle Management: Oversee the entire product lifecycle from ideation to launch and ongoing optimization.
- Cross-functional Leadership
- Collaboration: Work closely with cross-functional teams including marketing, sales, design, and engineering to ensure successful product delivery.
- Stakeholder Management: Engage with key stakeholders to gather requirements, prioritize features, and manage expectations.
- Agile Methodologies: Implement and promote agile methodologies to enhance flexibility and responsiveness in product development.
- User Experience and Engagement
- User-Centered Design: Advocate for user-centered design principles to create intuitive, engaging, and effective products.
- Feedback Loop: Establish a robust feedback loop with users to continuously improve the product based on real-world usage and feedback.
- Usability Testing: Conduct usability testing to identify pain points and optimize the user experience.
- Data-Driven Decisions: Use data analytics to drive product decisions, validate hypotheses, and refine product strategies.
- Performance Metrics and Reporting
- KPIs and Analytics: Define and monitor key performance indicators (KPIs) to measure product success and impact.
- Data-Driven Decisions: Use data analytics to drive product decisions, validate hypotheses, and refine product strategies.
- Reporting: Provide regular reports to senior management on product performance, user engagement, and market trends.
Business Intelligence Specialist Roles:
- Data Management and Integration
- Data Collection: Design and implement efficient data collection processes to gather relevant information from multiple sources.
- Data Warehousing: Manage data warehousing solutions to store, process, and retrieve large volumes of data efficiently.
- Data Integration: Integrate data from various internal and external sources to provide a comprehensive view of business performance.
- Advanced Analytics and Insights
- Data Analysis: Perform advanced data analysis to uncover insights, trends, and patterns that inform business strategies.
- Predictive Modeling: Develop predictive models to forecast future trends, customer behaviors, and market conditions.
- Reporting and Visualization: Create insightful reports and visualizations to communicate findings to stakeholders and support data-driven decision making.
- Strategic Decision Support
- Business Strategy Alignment: Ensure that business intelligence efforts are aligned with the company’s strategic goals and objectives.
- Opportunity Identification: Identify new business opportunities, market gaps, and potential areas for growth through data analysis.
- Competitive Analysis: Conduct competitive analysis to benchmark against industry standards and identify differentiators.
- Performance Optimization
- Operational Efficiency: Use data insights to streamline operations, reduce costs, and improve efficiency.
- Customer Insights: Analyze customer data to enhance understanding of customer needs, preferences, and behavior.
- ROI Measurement: Evaluate the return on investment (ROI) of various initiatives and campaigns to ensure effective allocation of resources
By fulfilling these roles, the Product Manager and Business Intelligence Specialist will play a critical part in advancing our client’s vision to connect users with the right content, products, audiences, and customers, thereby helping businesses scale globally.
Key Objectives for Both Roles:
- Innovation and Growth: Foster a culture of innovation to develop cutting-edge solutions that drive growth for Just Inches Limited and its clients.
- Customer Satisfaction: Enhance customer satisfaction by delivering products and services that meet and exceed user expectations.
- Market Leadership: Position our client as a market leader in strategic communications through high-quality products and data-driven strategies.
Requirements
Education and Experience:
- Bachelor's Degree in Business Administration, Computer Science, Data Science, Marketing, or a related field.
- 5+ years of experience in product management and business intelligence, preferably within the communications or tech industry.
- Proven track record of managing the entire product lifecycle.
- Strong experience with data analysis tools (e.g., SQL, Python, R) and business intelligence platforms (e.g., Tableau, Power BI).
Skills and Competencies:
- Strategic Thinking: Ability to develop and execute strategic plans that drive product success and business growth.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
- Leadership: Proven leadership skills with the ability to manage cross-functional teams and influence decision-making.
- Project Management: Strong project management skills, with the ability to prioritize tasks and meet deadlines.
- Customer Focus: Deep understanding of customer needs and a commitment to delivering high-quality products that meet those needs.
Technical Proficiency:
- Proficiency in data analysis tools (e.g., SQL, Python, R).
- Experience with business intelligence platforms (e.g., Tableau, Power BI).
- Familiarity with product management software (e.g., JIRA, Asana, Trello).