Company Profile:
We're a professional, dedicated team operating in every major market across the globe, with a knack for helping businesses thrive and expand. We offer our payroll, employer of record (EOR) and accounting services to businesses of all sizes in a growing number of over 100 countries and counting!
TopSource Worldwide brings a level of service and business value to midsize companies that were previously only available to the largest global corporations. Our services are easy to deploy, affordable and scalable from basic payroll and accounting functions to complete employer-of-record (EOR) solutions.
We champion and invest in our people and provide a supportive environment. For our clients, we are a trusted partner and operate in a consultative and collaborative way to drive win-win outcomes at every opportunity.
Sound good Then, carry on reading...
Role summary
The Data Analyst in Sales Operations will analyze complex sales data, derive actionable insights, and support decision-making processes to enhance sales performance. You will be instrumental in identifying sales trends, optimizing operations, and forecasting future sales to drive the company's growth.
Base location: India (Pune)
Reports to: VP of Sales
Roles & Responsibilities
Data Collection and Management:
Extract data from various sales databases and CRM systems.
Ensure data integrity by validating and cleaning data from disparate sources.
Maintain and update data repositories with accuracy.
Data Analysis and Reporting:
Utilize statistical techniques to interpret sales data and generate actionable insights.
Create visualizations and reports using tools such as Power BI, Tableau, or Google Data Studio.
Prepare and present reports, dashboards, and visualizations.
Develop and distribute weekly, monthly, and quarterly performance reports to stakeholders.
Sales Performance Metrics:
Track and analyze sales KPIs such as revenue growth, pipeline health, win/loss rates, and customer acquisition cost.
Benchmark sales performance against targets and industry standards.
Monitor sales productivity and efficiency metrics to identify areas for improvement.
Forecasting and Trend Analysis:
Build and refine sales forecasting models using historical data and market trends.
Conduct trend analysis to predict future sales patterns and potential market changes.
Evaluate the impact of seasonal trends, economic conditions, and competitive actions on sales performance.
Process Optimization:
Identify inefficiencies in the sales process and recommend improvements.
Develop and implement strategies to streamline sales workflows and increase operational efficiency.
Collaborate with the sales team to enhance data-driven decision-making.
Cross-Functional Collaboration:
Work closely with sales managers, marketing teams, and finance departments to align data analysis with strategic objectives.
Provide data insights to support sales campaigns, product launches, and promotional activities.
Facilitate meetings to discuss data findings and collaborate on action plans.
Ad-Hoc Analysis:
Address specific business questions and provide timely analysis on various projects.
Support special initiatives by conducting targeted research and analysis.
Present findings and recommendations to senior leadership and other stakeholders
Qualifications
At least 2-5 years of experience in a data analysis role, preferably within sales operations or a similar field.
Proven track record of using data to drive business decisions and improvements.
Proficiency in data analysis tools (e.g., Excel, SQL) and data visualization software (e.g., Power BI, Tableau).
Experience with CRM systems (e.g., Hubspot) and sales management tools.
Knowledge of statistical analysis techniques and forecasting methods
Fluent Communication
Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Strong leadership and team management skills, with a track record of mentoring and developing talent.
Excellent communication and presentation skills, with the ability to interact effectively with stakeholders at all levels.
Proficiency in Microsoft Excel and other data analysis tools.
To apply for this job, please fill out the below Job Application Form.
