Sales Operations Analytics Engineer

Live Connections; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading analytics firm in India is seeking a Sales Operations Analytics Manager to analyze sales performance and provide strategic insights. The ideal candidate will have over 6 years of experience, with strong skills in SQL, Tableau, and Python. You will be responsible for building dashboards, conducting performance analysis, and supporting forecasting efforts. This is a full-time position located in Itanagar, Arunachal Pradesh.

Qualifications

• 6+ years of experience in Sales Operations Analytics.
• Strong expertise in data manipulation and visualization.
• Experience with statistical models and forecasting.

Responsibilities

• Build and maintain dashboards and reports to monitor sales metrics.
• Analyse sales data to provide actionable insights and recommendations.
• Support forecasting and capacity planning with statistical models.
• Partner with data engineering to ensure data accuracy.
• Analyse sales funnel performance to identify bottlenecks.
• Conduct ad-hoc analysis for critical business decisions.

Skills

SQL

Tableau

Python

Sales Operations

Job description

Job Details

Job Title: Sales Operations Analytics Manager

Experience: 6+ years

Shift Timings: 03:00 PM – 12:00 AM IST

Location: Itanagar, Arunachal Pradesh, India

Mandatory Skills:

• Strong expertise in SQL
• Advanced experience with Tableau (dashboarding, reporting, visual analytics)
• Proficiency in Python for data manipulation/transformations (DataFrames, Pandas, NumPy)
• Experience in Sales Operations (Salesforce CRM preferred)

Job Responsibilities

• Performance Analysis & Reporting: Build and maintain dashboards, reports, and analytical models to monitor sales metrics, identify trends, and deliver insights on merchant acquisition, retention, growth, and regional performance.
• Strategic Insights & Recommendations: Analyse sales data, market trends, and workflows to identify opportunities for process improvements, efficiency, and revenue growth. Present clear and actionable recommendations to leadership.
• Forecasting & Planning Support: Support forecasting, capacity planning, and target setting by leveraging statistical models, historical data, and market intelligence for accurate projections.
• Data Infrastructure & Tools: Partner with data engineering and BI teams to ensure data accuracy, accessibility, and scalable solutions. Use SQL, Python, and visualization tools (Tableau/Power BI) for data extraction and presentation.
• Sales Funnel Optimization: Analyse funnel performance, conversion rates, and sales cycle efficiency to identify bottlenecks and recommend process enhancements.
• Ad-Hoc Analysis: Conduct deep-dive analysis to address specific business questions and provide timely data-driven insights for critical decisions.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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