Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Senior Data Analyst
- Location
- Bengaluru
- Type
- Full time
- Posted
- 3MO AGO
About the role
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.
