Business Analyst (Data & Insights)

3 - 7 years

0 Lacs

Posted:18 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Business Analyst (Data & Insights), your role involves translating complex data into actionable business insights. You will collaborate closely with stakeholders to define analytical objectives and present data-driven recommendations that inform strategic decision-making. Proficiency in Excel, SQL, and Python is crucial, along with the capability to create compelling executive-level presentations. Your experience in the automobile industry will be advantageous for addressing industry-specific data challenges. **Key Responsibilities:** - Partner with business stakeholders to understand challenges, define analytical objectives, and translate data into strategic insights. - Analyze large datasets using Excel, SQL, and Python to identify trends, uncover patterns, and generate meaningful business recommendations. - Develop and deliver executive-level presentations (PowerPoint) that effectively communicate insights to diverse audiences. - Present findings and recommendations in a structured manner for both technical and non-technical stakeholders. - Utilize data visualization tools such as Power BI and Tableau to enhance insights. - Collaborate with cross-functional teams to align insights with broader business objectives. **Required Skills & Experience:** - Strong communication and presentation skills for articulating complex data insights persuasively to senior stakeholders. - Advanced proficiency in Excel, including pivot tables, complex formulas, and data modeling. - Experience in creating professional, executive-level presentations in PowerPoint for clear data narratives. - Expertise in SQL for data extraction and analysis through querying, joins, and aggregations. - Proficiency in Python (Pandas, NumPy, Matplotlib) for data manipulation and automation. - Familiarity with data visualization tools like Power BI and Tableau is advantageous. - Preferred experience in the automobile industry for handling industry-specific data challenges. - Strong problem-solving skills and the ability to interpret large datasets effectively.,

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Information Technology

Seattle

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