Business Intelligence Data Analyst II

20 hours ago


Lahore, Punjab, Pakistan Motive Technologies, Inc. Full time
About Motive Technologies, Inc.
Motive empowers businesses to make their operations safer, more productive, and profitable by providing tools to manage drivers, vehicles, equipment, and fleet-related spend in a single system. Our industry-leading AI platform gives users complete visibility and control, significantly reducing manual workloads by automating and simplifying tasks.

A Role at the Forefront of Innovation
As a Business Strategy & Operations Analyst II, you will be instrumental in driving innovation and efficiency within our Sales Operations group. You will play a pivotal role in scaling our successful operations model, enabling our teams to focus on high-impact initiatives that fuel our company's growth and success. Your strategic insights and data analysis skills will help inform business decisions, drive operational efficiency, and identify areas for improvement.

Your Key Responsibilities
* Data Analysis & Reporting: Generate and analyze data to provide actionable insights that drive strategic decision-making and operational efficiency. Develop and maintain dashboards and reports that provide critical business insights.* Project Management: Assist in managing multiple projects to ensure timely delivery and alignment with business objectives.* Stakeholder Engagement: Collaborate with sales leaders and key stakeholders to ensure effective communication and alignment.* Quality Assurance: Ensure data integrity and accuracy through meticulous quality assurance processes.

The Ideal Candidate
We are seeking a skilled professional with 1-3 years of experience in business intelligence, sales operations, or related fields, with a focus on data analysis and reporting. The ideal candidate will possess exceptional analytical and communication skills, with a proactive, adaptable mindset and a detail-oriented approach. Proficiency in Google Sheets, Excel, and Salesforce is essential; Tableau and SQL proficiency is preferred. A Bachelor's degree in Business, Finance, Data Science, or a related field is encouraged; advanced degrees or relevant certifications are advantageous.

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