Data Insights Specialist

5 days ago


india beBeeBusinessAnalytics Full time

Business analytics plays a vital role in driving strategic decision-making across various industries. This fellowship associate position offers an exciting opportunity to develop and hone analytical skills, working closely with experienced professionals and leveraging industry-leading tools.Project Execution & DocumentationCollaborate with the team to design and execute analytics projects, focusing on data cleaning, KPI dashboard development, and exploratory data analysis reports.Utilize Excel, Power BI, Tableau, or similar business intelligence tools to create interactive dashboards that track key performance indicators such as revenue, churn, customer segments, and operational metrics.Deliver in-depth analytical reports that summarize trends, patterns, and insights derived from datasets, providing actionable recommendations for business growth.Research & Analytical Framework DevelopmentConduct thorough research into analytics best practices, business intelligence methodologies, and industry benchmarks to inform project development and execution.Propose enhancements to existing dashboards, business reports, and data-driven processes, ensuring optimal efficiency and effectiveness.Analytical Reporting & Insight PresentationPrepare and present analysis results, dashboards, and models during team workshops or mentoring sessions, effectively communicating complex findings to stakeholders.Translate data-driven insights into clear, actionable business recommendations, driving informed decision-making.Stakeholder CollaborationEngage closely with mentors, team members, and business stakeholders to gather project requirements and validate insights, fostering a collaborative environment.Qualifications:A graduate degree in Business Analytics, Data Science, Management, Statistics, Computer Science, Economics, or related fields is required.Early-career analysts or recent graduates are preferred, bringing fresh perspectives and skills to the table.Proficiency in Excel is mandatory, while familiarity with SQL, Python, Power BI, Tableau, or other analytics tools is an advantageous asset.



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