Active International
Overview
Marketing Analytics & Data Products Analyst (Early Career)
Active Media Services, Inc. (AMS) is an independent media solutions company that delivers sustainable growth to businesses across the globe. AMS includes several rapidly growing subsidiary media agencies. The intelligent use of data is central to our success and is led by our Product Innovation & Information Strategy team.
Reporting to the VP of Data Science, the Analyst will join a team of ~15 supporting:
Client measurement and experimentation (e.g., marketing mix modeling, incrementality/matched market tests), and
Product-driven initiatives that build reusable analytics tooling and internal mar-tech/AI capabilities (e.g., pipelines, analysis frameworks, and decision‑support tools).
This is an ideal role for someone who enjoys making complicated things feel simple: finding the story in the data, communicating it clearly, and building tools that improve speed‑to‑insight for clients and internal teams.
Responsibilities Marketing Measurement & Experimentation
Support standard marketing analytics engagements including MMM, test readouts, and performance deep dives.
Prepare and QA modeling datasets from multiple sources (ad platforms, adserver logs, web analytics, CRM/sales, research vendors).
Contribute to model development using regression/time‑series approaches; help interpret results and document assumptions and limitations.
Translate findings into clear deliverables: slides, written summaries, and stakeholder‑ready visuals.
Advanced Media Analytics (Involved Media, an AMS Subsidiary)
Help improve Involved’s core offering—linking media to outcomes (leads/sales)—by analyzing drivers such as touchpoints, time-to-convert, device, geo, creative, placement, channel mix, and competitive share‑of‑voice/spend.
Apply the best feasible methodology given the data (e.g., MMM, test design, causal methods, attribution approaches), with guidance from senior team members.
Data Products & Automation (AMS Product initiatives)
Build and maintain reusable analytics components: data pipelines, QA checks, feature generation, reporting automation, and internal tools (notebooks/apps/APIs).
Write clean, well‑documented code; use version control and lightweight testing to support reliability and reuse.
Collaborate with internal stakeholders (media strategy, client teams, product/engineering) to define requirements and ship improvements.
AI Enablement
Explore practical applications of AI/LLM tooling to reduce manual work, speed insights, and improve consistency—always with attention to data privacy and quality
Qualifications Required Qualifications
BA/BS (or equivalent experience) in a quantitative field (e.g., analytics, statistics, economics, CS, engineering, applied math).
0–3 years in analytics, data science, marketing analytics, or related work (internships/co‑ops count).
Proficiency in Python and SQL for data wrangling, analysis, and basic modeling workflows.
Solid foundation in statistics (descriptive statistics, regression fundamentals, experiment concepts, model evaluation).
Ability to explain analysis clearly to non‑technical audiences; strong writing and visual communication skills.
Comfortable working with imperfect data; resourceful and proactive in diagnosing issues and proposing solutions.
Preferred Qualifications
Exposure to marketing measurement methods such as MMM, incrementality testing/matched markets, causal inference, or attribution.
Familiarity with time‑series methods and/or modern ML approaches (e.g., tree‑based models) and when to use them.
Experience with Google Cloud Platform (e.g., BigQuery) and/or Vertex AI.
Familiarity with web analytics (e.g., GA4), adserver/platform data, or identity/privacy constraints in measurement.
Experience shipping analytics tooling: dashboards, lightweight web apps, scheduled jobs, or internal libraries.
Tools & Technical Environment (Exposure To)
Python, SQL, Git/version control, cloud data warehouses (GCP/BigQuery preferred), notebooks, and standard analytics/visualization libraries.
Travel
This position does not require regularly scheduled travel.
Unfortunately, we are unable to sponsor or take over sponsorship of an employment Visa at this time.
The salary for this role is $85,000. The successful candidate’s salary will depend on the actual ranges of current employees in the subject position, market considerations, budgetary considerations, geography, as well as the candidate’s skill set, level of experience, and qualifications. AMS offers a very competitive benefits package inclusive of medical coverage, dental, vision, disability, 401k, paid time off, community engagement opportunities, great colleagues, and great learning opportunities.
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Active Media Services, Inc. (AMS) is an independent media solutions company that delivers sustainable growth to businesses across the globe. AMS includes several rapidly growing subsidiary media agencies. The intelligent use of data is central to our success and is led by our Product Innovation & Information Strategy team.
Reporting to the VP of Data Science, the Analyst will join a team of ~15 supporting:
Client measurement and experimentation (e.g., marketing mix modeling, incrementality/matched market tests), and
Product-driven initiatives that build reusable analytics tooling and internal mar-tech/AI capabilities (e.g., pipelines, analysis frameworks, and decision‑support tools).
This is an ideal role for someone who enjoys making complicated things feel simple: finding the story in the data, communicating it clearly, and building tools that improve speed‑to‑insight for clients and internal teams.
Responsibilities Marketing Measurement & Experimentation
Support standard marketing analytics engagements including MMM, test readouts, and performance deep dives.
Prepare and QA modeling datasets from multiple sources (ad platforms, adserver logs, web analytics, CRM/sales, research vendors).
Contribute to model development using regression/time‑series approaches; help interpret results and document assumptions and limitations.
Translate findings into clear deliverables: slides, written summaries, and stakeholder‑ready visuals.
Advanced Media Analytics (Involved Media, an AMS Subsidiary)
Help improve Involved’s core offering—linking media to outcomes (leads/sales)—by analyzing drivers such as touchpoints, time-to-convert, device, geo, creative, placement, channel mix, and competitive share‑of‑voice/spend.
Apply the best feasible methodology given the data (e.g., MMM, test design, causal methods, attribution approaches), with guidance from senior team members.
Data Products & Automation (AMS Product initiatives)
Build and maintain reusable analytics components: data pipelines, QA checks, feature generation, reporting automation, and internal tools (notebooks/apps/APIs).
Write clean, well‑documented code; use version control and lightweight testing to support reliability and reuse.
Collaborate with internal stakeholders (media strategy, client teams, product/engineering) to define requirements and ship improvements.
AI Enablement
Explore practical applications of AI/LLM tooling to reduce manual work, speed insights, and improve consistency—always with attention to data privacy and quality
Qualifications Required Qualifications
BA/BS (or equivalent experience) in a quantitative field (e.g., analytics, statistics, economics, CS, engineering, applied math).
0–3 years in analytics, data science, marketing analytics, or related work (internships/co‑ops count).
Proficiency in Python and SQL for data wrangling, analysis, and basic modeling workflows.
Solid foundation in statistics (descriptive statistics, regression fundamentals, experiment concepts, model evaluation).
Ability to explain analysis clearly to non‑technical audiences; strong writing and visual communication skills.
Comfortable working with imperfect data; resourceful and proactive in diagnosing issues and proposing solutions.
Preferred Qualifications
Exposure to marketing measurement methods such as MMM, incrementality testing/matched markets, causal inference, or attribution.
Familiarity with time‑series methods and/or modern ML approaches (e.g., tree‑based models) and when to use them.
Experience with Google Cloud Platform (e.g., BigQuery) and/or Vertex AI.
Familiarity with web analytics (e.g., GA4), adserver/platform data, or identity/privacy constraints in measurement.
Experience shipping analytics tooling: dashboards, lightweight web apps, scheduled jobs, or internal libraries.
Tools & Technical Environment (Exposure To)
Python, SQL, Git/version control, cloud data warehouses (GCP/BigQuery preferred), notebooks, and standard analytics/visualization libraries.
Travel
This position does not require regularly scheduled travel.
Unfortunately, we are unable to sponsor or take over sponsorship of an employment Visa at this time.
The salary for this role is $85,000. The successful candidate’s salary will depend on the actual ranges of current employees in the subject position, market considerations, budgetary considerations, geography, as well as the candidate’s skill set, level of experience, and qualifications. AMS offers a very competitive benefits package inclusive of medical coverage, dental, vision, disability, 401k, paid time off, community engagement opportunities, great colleagues, and great learning opportunities.
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