Marketing Operation Associate

About the Job

Position: Marketing Operations Associate

Location: Jaipur (on-site)

Experience: 2+ years

Job Type: Individual Contributor (Functional role)

About the Role- We are looking for a candidate to work on marketing operations which will consist of performing

data cleaning, campaign setup, and keeping the data records up to date. This role will be an integral part of

marketing function and form the strong data foundation for global outbound campaigns. The candidate will be

focused on ensuring our data is accurate and fresh with special focus will be on the account level information and

firmographic data that we use to drive our segmentation modelling within our CRM and Marketing Automation

platforms.

Key Responsibilities-

 Maintain data hygiene, ensuring clean, de-duplicated, and enriched marketing databases.

 Manage segmentation, audience lists and perform list building for selected accounts.

 Experience in using sales intelligence tools such as Apollo, Instantly, Sales Navigator, HubSpot CRM, etc

 Understanding of campaign lifecycle and lead funnel.

 Analyzing data issues and to make them campaign ready.

 Expertise in using Excel, Google sheet and working on formulas, pivot table.

 Should be well versed working with large datasets and make them hygiene.

 Set up and maintain tracking (UTMs, conversion goals).

 Excellent cross-team collaboration and communication skills.

 Standardize campaign processes, naming conventions, and quality checks before launch.

 Maintain marketing calendars and ensure on-time delivery of campaigns.

 Good to have experience with SQL, Python, analytical tools and HubSpot Marketing Hub

 Interest to work on new age marketing tech stack or generative AI tools.

At Stellarix, we approach many buyer persona’s with our services use-case fit and we have complexity in our data

that we segment to market to a number of different verticals, and the candidate should be comfortable working

with complex data itself as well as its structure. Understanding data fields and developing recommendations for

better ways to structure the data will be key.

Best Regards

Garima Dadhich