Marketing Data Analyst – Permanent Work From Home

Are you passionate about transforming data into actionable insights? Do you excel at creating reports and dashboards that drive marketing success? If so, we want you to join our team!

Salary Range: PHP 60,000 – 100,000 per month
Note: Rate/Salary will depend on your current competencies matched to the position’s job description and requirements based on the assessment results.

The Benefits
– Work Set-up: Permanent Work From Home

Bonuses:
– Attendance Bonus of $ 25 for every monthly perfect attendance
– Performance Bonus
– Anniversary Bonus of PHP 5,000 for your 1st year in service and PHP 10,000 for 2 years in service
– Referral Bonus of $ 300 for every successful referral
– Holiday Paid Time Off (PTO) for 7 days in a year
– Paid Time Offs (PTO) for 6 days in a year
– Prepaid Health Card

The Role:
– Data Manipulation: Sort, scrub, tag, clean, and de-dupe data sets for accurate reporting.
– Report Creation: Develop templated reports for partners upon request.
– Dashboard Building: Build reports and dashboards from scratch or using provided templates.
– Data Analysis: Analyze results and write summaries of reports to communicate findings.
– Regular Reporting: Provide daily, weekly, and monthly reports on various data sets.
– Validation and Troubleshooting: Validate and troubleshoot existing reports for data and logic accuracy.
– Platform Data Pulling: Extract data from Meta, YouTube, and TikTok.
– Ad-Hoc Analysis: Perform other ad-hoc data analysis tasks as needed.

The Requirements
– Experience: 4+ years in complex data analysis.
– Platform Proficiency: 2+ years of experience with Meta, YouTube, and TikTok ad platforms.
– BI Tool Knowledge: Experience with Tableau or similar BI tools.
– Spreadsheet Skills: Intermediate to advanced skills in Google Sheets.
– Report Generation: Proven ability to generate ad-hoc reports and dashboards from scratch.
– Scripting Skills: Experience with Python or SQL scripting is nice to have.
– Communicator: Excellent English communication skills (both verbal and written)
– Behavioral Traits: Detail-oriented, highly organized, data-driven, proactive, and prompt in completing deliverables.
– Time-Zone Friendly: Ability to work in any timezone in the US or graveyard/night shift schedule in the Philippines, ensuring effective collaboration with our global team.

Job details:
Salary range: 60,000 – 100,000
Work Schedule: EST Night shift (tentative 9:00 PM – 6:00 AM Philippine time)
Work setup: Permanent Work From Home
Employment type: Contractual fulltime employment

If you’re interested, please send me the following details for faster processing: I will PRIORITIZE your application, if you will provide me the ff:
Full name:
Email:
Mobile Number:
Send your CV/Resume or send me the link of your CV (upload it to your google drive and send me the link: should be downloadable file):
Tools used before (Ex. Tableau or similar BI tools):

Clarification: (The following information below might not be disclosed in your resume):
1. Can you describe the types of data you have worked with in your previous roles? For example, have you worked with customer information, transactional data, or inventory data?

2. Do you have experience with data gathered from marketing campaigns? This could include data from email campaigns, SMS campaigns, or social media campaigns. If so, can you provide specific examples?

3. Do you have experience working with data from advertising platforms such as Meta (Facebook), YouTube, and TikTok? If so, can you describe how you have utilized data from these platforms in your previous roles?

4. What Business Intelligence (BI) tools have you used in the past? Can you explain how you have utilized these tools in your work, particularly in terms of data analysis and reporting?

5. Can you describe your reporting experience? What types of reports have you created, and what tools or methods did you use to compile and present the data?

6. How do you incorporate SQL into your daily tasks? Can you give specific examples of how you use SQL for querying databases, analyzing data, or generating reports?

7. Do you use Python in your day-to-day tasks? If so, how do you leverage Python for data analysis, automation, or any other tasks? Can you provide specific examples or projects where you have used Python?

If you can leverage your data analysis skills to drive marketing success, apply now and join our innovative team!