At Madison Logic, we turn buyer uncertainty into confident action. Using data-driven insights and strategic expertise, we help marketers align every decision-maker, in every buying group, at every stage of the journey. We meet buyers wherever they are, navigating today’s non-linear decision paths to keep marketers ahead. By combining data-rich strategy with multi-channel activation, we show B2B marketers and their agency partners not just what works, but why it works, so growth is accelerated with clarity and purpose.
“When ambitious marketers connect with their most elusive buyers to achieve ambitious growth targets, something extraordinary happens.”
“It’s not magic. It’s not just logic. It’s Madison Logic.”
Here’s Why You’ll Love Working Here
**
Access to competitive compensation & benefits that reward your contributions.
Participation in employee recognition programs to celebrate achievements big and small.
Exposure to professional development & learning initiatives to help you build your own path.
Foundation built on values anchored in Accountability, Team, Urgency, Respect, Integrity, and Innovation.
Opportunities for global exposure work alongside talented colleagues across India, Singapore, the UK, and the US, expanding your perspective and network.
Invitations to yearly team offsites to connect, collaborate, and strengthen relationships in person.
Leverage a lifestyle spending account benefit so you can choose your own wellness and work-from-home perks.
Our aspiration: A culture where every person feels confident navigating their unique path and inspired to grow every step of the way.
Our support: Meeting you where you are, empowering your growth with clarity, support, and purpose.
Our promise: Your growth is yours to lead, but never a journey you take alone.
The Revenue Operations Analyst will support our global GTM organization by managing the data, reports, and dashboards that Sales and Customer Experience teams rely on every day. This role will focus on data quality, reporting accuracy, and dashboard performance, partnering closely with our US‑based RevOps and Data teams to provide clear, timely insights.
_Reporting & Dashboard Management
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Maintain and enhance recurring dashboards and reports for Sales, Marketing, and Customer Experience in Excel and Looker Studio.
Ensure all dashboards use consistent definitions, filters, and timeframes, so stakeholders have a single source of truth.
Monitor dashboard performance and optimize queries, data sources, and layouts to improve load times and usability.
Organize report folders, naming conventions, and documentation so GTM teams can easily find and understand the data they need.
_**Data & BI Execution
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Work with the Data/Snowflake team to define and maintain the tables and views used for BI and Looker Studio reporting.
Help translate business requirements into clear data specifications (fields, joins, filters, aggregations).
Perform regular data checks to identify anomalies, missing values, or mapping issues, and coordinate fixes with RevOps and Data.
Support the rollout of new metrics, fields, and data models into existing reports and dashboards.
**_Ad Hoc Analysis & GTM Support
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Run ad hoc reports and analyses from Salesforce and other systems to answer questions on pipeline, bookings, retention, and campaign performance.
Build and maintain standardized report templates for common GTM questions (e.g., rep performance, account coverage, renewal calendars).
Prepare data extracts and summary views for forecasting reviews, and leadership presentations.
Respond to internal data requests in a structured way, clarifying requirements and providing insights with clear commentary, not just raw numbers.
_**Process & Documentation
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Document metric definitions, report logic, and source tables in a simple, accessible format for GTM stakeholders.
Help enforce data hygiene standards by surfacing recurring issues (duplicate records, missing fields, inconsistent usage) to RevOps leadership.
Contribute to continuous improvement of reporting processes, suggesting automation or simplification where possible.
2+ years of experience in Revenue Operations, Sales Operations, Business Analytics, or a similar data‑focused role (B2B SaaS or services preferred).
Strong skills in Excel /Google Sheets, including pivot tables, lookups, and nested formulas; comfort handling large data sets.
Hands‑on experience building and maintaining dashboards in Looker Studio or a similar BI/visualization tool.
Familiarity with Snowflake or another cloud data warehouse, and basic understanding of SQL concepts (joins, filters, aggregations); ability to work with data engineers on queries and views.
Experience running reports and exports from Salesforce or another CRM.
High attention to detail, strong data quality mindset, and the ability to spot inconsistencies or anomalies quickly.
Good written and verbal communication skills in English; able to explain data and methodology clearly to non‑technical stakeholders.
Comfortable working with a distributed team and collaborating across time zones.
Basic SQL query writing experience.
Exposure to RevOps or GTM processes (leads → opportunities → bookings → renewals).
Experience automating recurring reports or data refreshes using scripts, connectors, or workflow tools.
If you’re excited about helping clients succeed, love the idea of working at the forefront of marketing innovation, and want to be part of a team where integrity, respect, innovation, urgency, and accountability aren’t just words — they’re how we show up every day — then let’s talk.
We offer a mix of in-office and hybrid working. Remote work arrangements are not available for all positions. Please refer to the job posting detail to determine what in-office requirements apply.** Where applicable**,** hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.
We are committed to paying our team equitably for their work, commensurate with their individual skills and experience**.** Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.
We will provide more information about our perks & benefits upon request.
Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.
For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/). --- Seniority level: Mid-Senior level Employment type: Full-time Job function: Management and Manufacturing Industries: Construction, Software Development, and IT Services and IT Consulting
Opens the original job posting on madisonlogic.com
Madison Logic provides an account-based marketing (ABM) platform that uses AI-powered intent data to help B2B companies identify and target buying groups across multiple channels while measuring pipeline impact.
Visit website₹700,000 – ₹1,300,000
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