7 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Measurement Analyst (Marketing Analytics)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Measurement Analyst (Marketing Analytics): Analyzing marketing campaign data and developing modern measurement strategies with an accent on statistical modeling, experiment design, customer analysis, and attribution-based measurement. Focus on building performance forecasts, identifying actionable insights with R, SQL, and Python, and communicating recommended actions to stakeholders and clients.
Location: Remote - Philippines
Company
is an AI-native growth firm that combines strategic marketing expertise, proprietary technology, and performance data to help brands achieve measurable business outcomes.
What you will do
- Analyze large datasets with R, SQL, and Python to identify performance insights and improvement opportunities.
- Manage and recommend measurement strategies for marketing campaigns, including statistical modeling, experiment design, customer analysis, and attribution-based measurement.
- Develop statistics-based performance forecasts.
- Communicate findings clearly to internal stakeholders and clients, translating analysis into recommended actions.
- Use AI technologies and the Nova ecosystem to improve business processes and departmental workflows.
- Coordinate delivery with teammates using Asana.
Requirements
- Bachelorβs degree in Marketing, Business Administration, or a related field.
- 2+ years of experience in marketing analytics.
- Proficiency in R or Python and SQL.
- Strong data visualization skills with Looker, Tableau, Power BI, or Excel.
- Experience with ETL tools such as Funnel.io and Fivetran, plus knowledge of statistical modeling, experiment design, statistical limitations, and data infrastructure.
- Advanced spoken and written English proficiency is required. Excellent communication, presentation, teamwork, independence, attention to detail, and ability to work under pressure are also required.
Nice to have
- Experience with digital data collection tools such as GA4, Google Tag Manager, or Adobe Analytics.
- Experience with advertising platform reporting, third-party pixels, product catalogs, and server-side tracking.
Culture & Benefits
- People-first culture centered on curiosity, ambition, accountability, diversity, and meaningful client outcomes.
- Collaboration across strategy, execution, and measurement teams.
- Use of proprietary AI and intelligence platforms to support analysis, problem-solving, and decision-making.
- Equal opportunity workplace with an emphasis on inclusion and diverse backgrounds.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β