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Multiplier

Senior Data Analyst

Posted 5 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Senior level
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Senior level
The Senior Data Analyst will analyze sales, marketing, and customer success data, develop dashboards, collaborate on strategies, and enhance data infrastructure with a focus on actionable insights.
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About Job

Job Title: Senior Analyst / Lead - GTM Analytics Location: Remote

About Multiplier: Multiplier is a fast-growing organization helping companies simplify global hiring, payroll, compliance, and employee management. Our GTM Analytics team is at the heart of driving data-driven decision-making to optimize sales, marketing, and customer success initiatives.

Role Overview: We are looking for a highly motivated and analytical Senior Analyst to join our GTM Analytics team. In this role, you will play a pivotal part in analyzing data, delivering actionable insights, and driving impactful strategies across our go-to-market teams.

Key Responsibilities:

  • Analyze sales, marketing, and customer success data to identify trends, opportunities, and areas for improvement.

  • Develop and maintain dashboards and reports using tools like Tableau and Salesforce to provide visibility into GTM performance.

  • Collaborate with cross-functional teams to design and execute data-driven strategies.

  • Conduct in-depth analyses of account segmentation, pipeline health, and conversion metrics.

  • Work with stakeholders to define KPIs and track progress against business goals.

  • Contribute to the development of a robust data infrastructure, including evaluating and implementing data lake solutions.

  • Leveraging advanced analytics and metrics to enhance processes and deliver data-driven forecasts on potential costs, revenues, and risks associated with business initiatives.

Qualifications:

  • 4+ years of experience in analytics, with a focus on sales, marketing, or GTM functions.

  • Proficiency in any BI tool like Tableau/PowerBI/Qlikview; experience with data lakes or data warehousing is a plus.

  • Strong SQL skills and familiarity with data modeling concepts.

  • Proficiency in building predictive and statistical models to support decision-making, optimize processes, and forecast business outcomes

  • Exceptional problem-solving skills and attention to detail.

  • Experience working in fast-paced, high-growth environments.

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