Sr Product Manager

7 days ago

White Plains, United States Top Prospect Group Full time

We are seeking a results-driven individual with a strong background in both business analysis and data analysis. This role involves managing key performance indicators (KPIs) across the organization to enhance decision-making, drive business growth, and bring solutions and recommendations to enable the overall performance improvement of the business. The successful candidate will be proficient in tools such as Oracle Data Visualization, Oracle Analytics Cloud, PowerBI, and Snowflake, and will work cross-functionally to ensure data insights align with strategic goals.



Responsibilities:

Performance Management:

• Develop and manage a robust KPI onboarding framework to help define the tracks that will be taken to produce them.

• Continuously evaluate KPI data to ensure alignment with business objectives, identifying trends, risks, and opportunities.

• Lead initiatives to improve performance based on data-driven insights and provide actionable recommendations.

• Drive initiatives to enhance the quality and availability of performance data, leveraging automation and advanced analytics where appropriate.

• Stay updated on best practices in performance management, business intelligence, and data analysis.

• Mentor and support colleagues in the use of performance tools and methodologies, fostering a data-driven culture.


Business Analysis:

• Collaborate with department heads and senior stakeholders to define measurable business goals and translate them into KPIs.

• Analyze business processes, workflows, and operational performance to identify opportunities for process optimization and make appropriate recommendations.

• Gather business requirements to ensure the relevance and effectiveness of KPIs in driving strategic initiatives.


Data Analysis:

• Collect, clean, and analyze large datasets from various sources using tools like Snowflake & Oracle for database management and Oracle Data Visualization for reporting.

• Create and maintain interactive dashboards and performance reports, providing insights on key metrics to business leaders.

• Perform deep-dive analyses to identify root causes of performance issues and areas for improvement.


Reporting & Visualization:

• Develop custom reports, using Oracle Data Visualization, Power BI, or other visualization tools, to communicate performance insights in a clear, actionable format.

• Provide regular reports and presentations to senior management, highlighting key findings and recommendations for future performance.


Qualifications:

• Education: Bachelor's degree in business administration, Finance, Data Science, or a related field. Master's degree (MBA, MS) preferred.


Experience:

• Minimum of 5 years in business analysis, data analysis, or performance management roles.

• Strong experience working KPIs, data visualization, and reporting tools.

• Proven track record of improving business performance through data-driven insights and initiatives.

• Expertise in tools such as Snowflake, Oracle Data Visualization, Power BI.


Technical Skills:

• Advanced proficiency in Oracle Data Visualization, Oracle Analytics Cloud, and Snowflake for data management and visualization.

• Proficiency in data analysis tools (Excel , SQL) and business intelligence platforms (Power BI, Oracle Analytics Cloud).

• Knowledge of statistical analysis and data modeling.

• Experience with ETL processes and data pipeline management.


Soft Skills:

• Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.

• Excellent problem-solving and analytical thinking abilities.

• Highly organized and capable of managing multiple projects with competing deadlines.

• Proactive, with a strong sense of accountability for results.


Preferred Qualifications:

• Experience with other advanced analytics tools (Python, R) and machine learning applications.

• Ability to gather, prioritize requirements and maintain a vision and backlog of work.

• Experience working in cloud-based environments and with data lakes.

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