Senior Business Insights Specialist

Key Challenges and Responsibilities:

We are seeking a highly motivated Senior Data Analyst to play a pivotal role in driving business success through data-driven decision-making.

The ideal candidate will be responsible for extracting insights from operational data, identifying trends and anomalies, and providing actionable recommendations to support strategic objectives.

You will collaborate with cross-functional teams to optimize processes, improve efficiency, and contribute to the overall success of the organization.

We require you to have a passion for data analysis and the ability to leverage cutting-edge technologies like IoT and geospatial data to derive operational insights.

Key Responsibilities:

• Analyze operational data to identify trends, anomalies, and insights that drive business decisions.
• Work closely with business stakeholders to understand key performance drivers and analyze operational data to identify areas for improvement.
• Develop a comprehensive understanding of business metrics to offer actionable insights and data-driven recommendations.
• Design, develop, and maintain interactive dashboards and reports using tools such as Tableau, Power BI, or similar visualization platforms.
• Create clear and actionable visualizations to support business leaders and other stakeholders in making informed decisions.
• Ensure timely and accurate delivery of reports with clear insights that align with business objectives.
• Collaborate with cross-functional teams (e.g., operations, marketing, finance, IT) to improve data flow, reporting efficiency, and decision-making processes.
• Work with business and technical teams to refine existing processes and propose optimized approaches for reporting and data usage.
• Assist in defining and tracking KPIs (Key Performance Indicators) to measure and monitor business performance.
• Provide data-driven insights to leadership to inform strategies and improve operational performance.
• Assist in the development of long-term strategic initiatives by analyzing performance trends and business data.
• Generate recommendations based on data analysis to enhance business outcomes, reduce inefficiencies, and optimize workflows.
• Leverage IoT data (e.g., real-time data from sensors or devices) and geospatial data (e.g., location-based data) to help optimize operations and decision-making.
• Utilize advanced analytical techniques to extract insights from both structured and unstructured data sources.
• Work with operational teams to implement findings from IoT and geospatial data to drive improvements in business performance.
• Evaluate the integrity, consistency, and accuracy of the data used for analysis by regularly monitoring and validating data sources.
• Maintain high standards for data governance, ensuring that analysis is based on reliable and accurate data.
• Collaborate with the data engineering team to ensure data pipelines and sources are aligned with business needs.

Technical Skills:

Technical Skills:

• Strong experience with writing complex queries to manipulate, extract, and aggregate data from databases.
• Advanced Excel skills for data analysis, including pivot tables, VLOOKUP, and complex formulas.
• Proficiency in Python for data analysis and scripting, including libraries such as pandas, numpy, and matplotlib for data manipulation and visualization.
• Experience with Tableau, Power BI, or similar tools to create interactive and insightful dashboards and reports.
• Familiarity with integrating and analyzing IoT data (e.g., real-time sensor data) and geospatial data (e.g., mapping data) to derive operational insights.

Preferred Qualifications: