Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Marketing Data Analyst at Humand

Yerevan, , Armenia -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Analytics, Reporting, B2B SaaS, CRM Systems, HubSpot, Data Visualization, Looker, Databases, Data Structures, Analytical Mindset, Attention to Detail, Data Quality, Communication Skills, Collaboration

Industry

Software Development

Description

Want to help Humand turn data into clear, reliable insights for our Marketing team? 🚀 We are looking for a Data Analyst to join our Marketing team and support how we manage, understand, and use data across the company. This role focuses on ensuring data quality, building clear and actionable reports, and working closely with different stakeholders to support data-driven decision-making in a B2B SaaS environment. ➡️ What We’re Looking For 1+ year of experience working with data, analytics, and reporting. 1+ year of experience in B2B SaaS companies. Experience working with CRM systems, ideally HubSpot. Experience using data visualization tools (Looker or similar). General knowledge of databases and data structures. Strong analytical mindset with attention to detail and data quality. Good communication skills and ability to work collaboratively with other areas. ➡️ Nice to have Experience working with marketing and/or revenue metrics. Report or data process automation knowledge. Experience working in fast-paced, growing environments. Join us! 💡 Our mission is to empower people at work making them happier and more successful. 🌟 Our Purpose: Bring happiness to the world of work. You can read more about us at: https://humand.co

Responsibilities

The Marketing Data Analyst will support the Marketing team by managing, understanding, and utilizing data effectively. This includes ensuring data quality and building actionable reports for data-driven decision-making.