Data Analysis and Interpretation:

• Analyze large, complex datasets to identify trends, patterns, and insights that support business decision-making.

• Develop and maintain dashboards and reports that provide real-time visibility into key business metrics and performance indicators.

• Interpret data to provide actionable recommendations for improving business processes and strategies.

Business Intelligence and Reporting:

• Design, develop, and manage business intelligence solutions, including data models, queries, and reports.

• Create and maintain standardized and ad-hoc reports for various departments, ensuring data accuracy and relevance.

• Collaborate with stakeholders to define and prioritize reporting requirements and deliver insights that meet business needs.

Strategic Decision Support:

• Work with senior leadership to identify and evaluate opportunities for business growth and operational efficiency.

• Provide data-driven insights and recommendations that influence strategic initiatives, product development, and market expansion.

• Support financial forecasting, budgeting, and scenario planning with in-depth data analysis.

Data Quality and Governance:

• Ensure data integrity, accuracy, and consistency across all data sources and reports.

• Develop and implement data governance policies and procedures to standardize data management practices.

• Monitor and resolve data quality issues, working with IT and data engineering teams as necessary.

Advanced Analytics and Modeling:

• Utilize advanced analytics techniques, including predictive modeling, statistical analysis, and machine learning, to forecast business outcomes and identify risks.

• Develop and maintain financial, operational, and customer models to support scenario analysis and decision-making.

• Experiment with new data analysis tools and methodologies to improve the depth and accuracy of insights.

Cross-Functional Collaboration:

• Collaborate with key stakeholders, including finance, marketing, product development, and operations, to understand their data needs and deliver insights that drive business results.

• Act as a liaison between business units and technical teams, translating business requirements into technical specifications for data collection and reporting.

• Participate in cross-functional projects, providing analytical support and ensuring alignment with business goals.

Mentorship and Leadership:

• Mentor and guide junior data analysts, providing technical and analytical expertise to enhance their skills and knowledge.

• Lead and manage data analysis projects, ensuring timely delivery of high-quality insights.

• Foster a data-driven culture within the organization by promoting the use of analytics in decision-making processes.

Continuous Improvement:

• Identify opportunities to improve data collection, analysis, and reporting processes, driving efficiency and effectiveness.

• Stay current with industry trends, best practices, and emerging technologies in data analytics and business intelligence.

• Proactively seek out new data sources and tools that can enhance the organization’s analytical capabilities.