Marketing Data Mining Specialist

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TYPE OF WORK

Full Time

SALARY

Php 35,000 to Php 55,000 Monthly

HOURS PER WEEK

40

DATE POSTED

Apr 08, 2024

JOB OVERVIEW

Job Title: Marketing Data Mining Specialist

Job Type: Full-Time

Location: Philippines, Remote, M-F, Pacific Time

Restriction: This opportunity is for candidates residing in the Philippines

Compensation: Php 35,000 to Php 55,000 Monthly



Job Overview

Intero Digital, California Division, is seeking a highly analytical and detail-oriented Marketing Data Mining Specialist to support our marketing team in analyzing large sets of data and providing insights that will inform our marketing strategy. The successful candidate will be responsible for identifying and interpreting complex patterns in customer and company metrics and indicators to inform targeted marketing campaigns.



Key Responsibilities

-Analyze large datasets using statistical methods to identify trends, patterns, and insights to inform marketing strategy.

-Collaborate with the marketing team to deliver targeted customer information based on analysis and insights.

-Develop and maintain a customer segmentation framework to inform marketing and sales strategies.

-Monitor and evaluate the effectiveness and accuracy of the data to ensure the success of campaigns.

-Conduct A/B testing and other experiments to determine the impact of marketing strategies.

-Stay up-to-date with company trends and advancements in data mining and analytics.



Qualifications

-Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Data science, or a related field.

-2+ years of experience in data mining, analytics, or related fields.

-High level of attention to detail.

-Experience working with large datasets and data mining tools such as Excel.

-Excellent communication and collaboration skills to work cross-functionally with marketing and sales.

-Ability to think creatively and develop new insights to enhance data mining.



If you have a passion for data analysis and the ability to turn complex data into actionable insights, then we would love to hear from you.

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