Data Analyst - Revenue Operations
At a glance
Mid-level Data Analysis & BI role at Clearwateranalytics. Noida · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Check Salesforce records for errors and help clean account, opportunity and territory data
- Build and update account and contact details in Salesforce through secondary research
- Track sales pipeline stages, funnel changes and inputs used for basic forecasts
- Pull data for leadership questions and turn it into concise, readable summaries
- Record workflows, definitions and reporting rules, while learning territory routing and CRM administration from senior analysts
What you bring
- A master’s degree in business, economics or a related subject
- Two years of work in data, secondary research or reporting
- Working knowledge of Excel formulas and pivot tables, plus basic familiarity with CRM systems
- Careful work habits and clear communication when checking or explaining data
Who this fits
This role suits an early-career analyst who wants to grow in revenue operations and sales analytics. You’ll collaborate with senior analysts and support sales leadership from Noida.
From the employer
Data Analyst - Revenue Operations
Location: Noida Type: Full-time
About the Role
We are seeking a motivated Data Analyst to join our Revenue Operations data and reporting team. This position is well suited to an individual who wishes to build a career in revenue operations, sales analytics, and go-to-market (GTM) systems. The successful candidate will support the Revenue Operations center of excellence by maintaining data integrity, preparing reports, and enabling the sales organization to operate with discipline and clarity.
This role is well suited to an early-career professional who is detail-oriented, intellectually curious about data, and eager to develop proficiency in the sales technology stack within a fast-growing, global SaaS/fintech environment.
Key Responsibilities
Data Hygiene: Assist in maintaining data quality and accuracy within Salesforce by identifying inconsistencies and supporting data-cleansing initiatives across accounts, opportunities, and territories.
Secondary Research: Assist in building and maintaining account- and contact-level data within Salesforce.
Sales Process Support: Support the day-to-day execution of sales process discipline, including the tracking of pipeline stages, funnel movement, and basic forecasting inputs.
Ad Hoc Analysis: Extract and organize data sets to address inquiries from the Revenue Operations Leader or sales leadership, translating raw data into clear and concise summaries.
Process Documentation: Assist in documenting workflows, definitions, and reporting logic to ensure the team's processes remain consistent and readily transferable or scalable.
Cross-Team Collaboration: Collaborate closely with senior Data Analysts and Sales Tool Analysts to learn best practices in territory routing and CRM administration.
Qualifications
Master’s degree in business, Economics, or a related field
Two years of experience in data, secondary research, or reporting role
Proficient in Microsoft Excel, including formulas and pivot tables
Basic familiarity with CRM systems (Salesforce preferred, though not required).
Strong attention to detail and a willingness to verify work thoroughly prior to submission.
Intellectual curiosity regarding data, together with an interest in the evolving role of artificial intelligence in Revenue Operations.
Strong written and verbal communication skills, with the ability to convey data findings clearly and accessibly.
Highly organized and dependable, with the ability to manage multiple small projects concurrently.
What You Will Gain
Direct mentorship from a Revenue Operations Leader, together with exposure to senior sales leadership.
Hands-on training in Salesforce administration and sales reporting.
Experience with the modern sales technology stack, including Clari, Gong, Highspot, and AI-driven reporting platforms.
A defined pathway for professional growth into a senior Data Analyst, Sales Tool Analyst, or broader Revenue Operations role as experience is gained.
Exposure to how a global, high-growth SaaS company runs its sales operations end-to-end.