Associate Process Manager

Job Summary:

We are seeking a results-oriented and strategic team leader of Business Analytics to lead our Reporting Analytics team in harnessing data to drive business success. This role requires a blend of analytical expertise, leadership capabilities, and a deep understanding of business operations. The ideal candidate will empower teams to extract meaningful insights from data, support key initiatives, and foster a data-driven culture across the organization.

Key Responsibilities:

Team Leadership and Development:

• Recruit, train, and develop a high-performing analytics team, providing coaching and mentorship to foster professional growth.
• Conduct regular performance reviews, setting clear objectives and providing feedback to enhance team effectiveness.
• Responsible for deliverables of Reporting Analytics team, includes leading team of 2 - 3 Associates Process Manager and a span of 10-15 member team of Reporting Analysts and Sr. Reporting Analysts

Data Strategy and Governance:

• Define and execute a comprehensive data analytics strategy that aligns with organizational goals and industry best practices.
• Establish data governance protocols to ensure data quality, security, and compliance with relevant regulations.

Business Insights and Analysis:

• Partner with stakeholders to understand their needs, challenges, and goals, translating these into analytical projects that drive value.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that inform strategic decisions.

Reporting, Visualization, and Communication:

• Design and implement effective reporting frameworks, utilizing advanced data visualization tools to present findings to diverse audiences.
• Prepare and deliver presentations to senior leadership, articulating insights and recommendations in a clear and actionable manner.

Performance Metrics and Dashboards:

• Develop and monitor dashboards and performance metrics to track the effectiveness of business initiatives, providing timely updates to stakeholders.
• Identify opportunities for improving operational efficiency through data-driven recommendations.

Project Management:

• Lead cross-functional analytics projects, coordinating resources and timelines to ensure successful project delivery.
• Manage project budgets and resources effectively, ensuring alignment with strategic priorities.

Continuous Improvement and Innovation:

• Stay abreast of industry trends, emerging technologies, and best practices in analytics, applying this knowledge to enhance team capabilities.
• Foster a culture of continuous improvement by encouraging team members to explore new methodologies and technologies.

Leadership and Interpersonal Skills:

• Strong leadership qualities with the ability to influence and inspire cross-functional teams.
• Excellent interpersonal skills with a knack for building relationships at all levels of the organization.

Analytical and Problem-Solving Skills:

• Strong analytical mindset with the ability to think critically and strategically to solve complex business problems.

Technical Skills:

1. Data Analysis and reporting Tools:
2. Database Management:
3. Data Visualization:
4. ETL Processes:
5. Data Warehousing:
6. Scripting Languages:

• Must have: Proficiency in Microsoft Excel, PowerPoint, VBA and SQL including advanced functions and data visualization features.
• Good to have: Knowledge of BI tools such as SSIS Packages, Tableau or Power BI for creating interactive dashboards and reports.
• Good to have: Understanding of statistical methods, Forecasting and Predictive analysis knowledge
• Must have: Strong knowledge of SQL for querying databases and extracting data.
• Must have: Familiarity with database management systems like Microsoft SQL Server
• Must have: Proficiency in visualization tools like Excel dashboard, PowerPoint, Tableau to create meaningful visual representations of data.
• Ability to create visually appealing and informative reports and dashboards that convey insights effectively.
• Understanding of how to design effective visualizations and best practices in data visualization design.
• Must have: knowledge of Extract, Transform, Load (ETL) processes and tools (e.g. SSIS packages) for data integration and preparation.
• Good to have: Understanding of data warehousing concepts and architecture.
• Good to have: Experience with data warehouse technologies and methodologies.
• Must have: Proficiency in scripting languages like VBA and SQL query for automating reporting tasks and data manipulation.