Data Analyst - Sales Operations

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.