We are looking for a highly motivated and skilled Senior Data Analyst to join our team.
The ideal candidate will be responsible for analyzing operational data, identifying trends and insights, and supporting business decision-making through data-driven recommendations.
You will collaborate with various teams to improve efficiency, optimize processes, and contribute to the overall success of the business.
If you have a passion for data analysis and the ability to leverage cutting-edge technologies like IoT and geospatial data, this is the perfect role for you.
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.
- Ensure 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.
- Work closely with the data engineering team to ensure data pipelines and sources are aligned with business needs.
Skills & Qualifications :
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(ref : hirist.tech)