Marketing Data Analyst

Experience : 3.00 + years

Salary : INR 600000-700000 / year (based on experience)

Shift : (GMT+05 : 30) Asia / Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full time Permanent Position

• Note : This is a requirement for Uplers)

What do you need for this opportunity

Must have skills required :

Power BI, Segmentation, SQL

Uplers is Looking for :

Role Overview :

We are looking for a Marketing Data Analyst to develop and provide data-driven insights regarding email, SMS, and other marketing channel performance for our clients. You will build and optimize measurement frameworks and dashboards as well as analyze data gathered from various sources to provide actionable insights that will drive strategy and tactics to improve client ROI. You will be the go-to person for and work closely with our Program Directors to answer questions, gather and deliver insights, and move client strategy forward. You will provide support on strategic initiatives, identify key metrics, advise on improvements, and ensure compliance with industry regulations. This is an ideal position for those who have a passion for using data to answer our clients' most pressing questions.

Roles & Responsibilities :

Required Skills :

How to apply for this opportunity

About Uplers :

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note : There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Skills Required

Salesforce, Predictive Modeling, BigQuery, Power Bi, Tableau, Hubspot, Clustering, Redshift, Sql, snowflake , Regression Analysis, Decision Trees, Databricks, Web Analytics