Senior Marketing Analytics Engineer - Paid Media Job at Energy Systems (Pewaukee)

Senior Marketing Data Analyst - Events Analytics

The Global Marketing Engines and Experiences (E&E) team within Microsoft is resp...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience

Job Responsibility

Event Performance Analytics & Measurement: Own the end-to-end events analytics strategy and measurement framework for all Microsoft marketing events
Design and implement comprehensive event performance dashboards
Establish standardized key performance indicators, benchmarks, and measurement methodologies
Develop near-real-time reporting capabilities
Demand Generation & Channel Attribution: Build and optimize multichannel attribution models
Integrate and normalize data across Adobe Analytics, Marketo, Sprinklr, event registration systems, email platforms, and paid media tools
Analyze traffic channel effectiveness, conversion funnel performance, and audience journey patterns
Develop channel ROI frameworks
Attendee Journey & Engagement Analytics: Design analytics frameworks to measure the full attendee lifecycle
Track and analyze attendee engagement signals

Fulltime

Senior Marketing Data Analyst - Social Analytics Lead

The Global Marketing Engines and Experiences (E&E) team within Microsoft is resp...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience

Job Responsibility

Social Listening & Brand Intelligence: Own the end-to-end social listening strategy and execution to monitor brand health, product sentiment, campaign performance, customer feedback, and emerging trends across all Microsoft properties and competitive landscapes
Build and optimize social analytics frameworks that connect social conversations, influencer content, and competitive activities to business outcomes including brand perception, share of voice, registrations, and pipeline performance
Identify patterns, sentiment drivers, and conversation trends in social data to inform brand positioning, content strategy, and crisis response protocols
Establish measurement standards and KPIs for social listening programs across E&E and partner organizations
Influencer Analytics & Measurement: Design and implement comprehensive influencer analytics frameworks to measure influencer impact, reach, engagement quality, sentiment influence, and return on investment across paid and organic social campaigns
Integrate Sprinklr influencer data with campaign performance systems (Adobe, Marketo) to attribute influencer activities to key outcomes like registrations, content engagement, and customer advocacy
Develop executive-ready influencer performance dashboards that clearly communicate influencer contribution to brand awareness, consideration, and demand generation
Partner with Brand and PMM teams to optimize influencer selection, content strategies, and investment allocation based on data-driven insights
Competitive Intelligence & Market Positioning: Own competitive intelligence reporting and analysis, tracking competitor social strategies, share of voice, sentiment trends, campaign tactics, and market positioning across key product categories and business segments
Surface emerging threats, opportunities, and market shifts through proactive social monitoring and deliver timely, actionable competitive insights to Brand, PMM, CI, and senior leadership

Fulltime

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Senior Paid Social Specialist

We are looking for a dynamic and results-driven Senior Paid Social Specialist to...

Location

United Kingdom , London

Salary:

Not provided

DELIVER

Expiration Date

Until further notice

Requirements

3–5 years of hands-on experience managing large-scale Meta and TikTok campaigns
Experience with Snapchat, third-party campaign management tools (e.g. Smartly) is a strong plus
Highly analytical and data-driven, comfortable working independently with data to inform strategic and tactical decisions
Proven track record in managing complex, high-spending global Paid Social programme - ideally within e-commerce, technology, or marketplace environments
Strong communicator with curiosity and ambition to continuously improve
Proactive problem solver who takes ownership and drives measurable results
Embraces experimentation and iterative optimisation to deliver sustained growth

Job Responsibility

Work with the Paid Media Director and a team of channel specialists to develop and execute a comprehensive global Paid Social strategy
Be hands-on in our accounts, optimising complex, high-spending global programmes across Meta and TikTok
Stay up to date with the latest trends and innovations in Paid Social and digital marketing
Design and execute A/B and incrementality tests across campaigns to drive continuous learning and performance improvement
Use enterprise analytics tools (e.g. Looker) to analyse performance and identify insights
Build and maintain clear dashboards and performance reports for internal teams and senior stakeholders
Partner closely with Product, Data Science, and Engineering to develop technical solutions
Support in setting and managing a large, global annual budget
Communicate effectively with cross-functional teams and senior stakeholders

What we offer

A competitive and comprehensive compensation and benefits package
Some roles may be eligible for share awards
Free Deliveroo Plus: free delivery and access to special offers
Team lunches from the best local restaurants
25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
One day of paid leave per year to volunteer with a registered charity
Funded single cover healthcare on our core plan, with the option to add family members at own cost
On-site gym (HQ), discounted external gym membership
Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments

Fulltime

Sr Business Analysis Manager – Media Analytics & Attribution

Join T-Mobile’s Media Analytics team and help shape the future of marketing meas...

Location

United States , Bellevue

Salary:

96700.00 - 174400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative or analytical field such as Statistics, Mathematics, Engineering, Information Systems, Economics, Business Analytics, or a related discipline
Master’s degree preferred
7+ years of experience in analytics, media analytics, marketing measurement, business intelligence, or attribution modeling
Strong knowledge of the paid media ecosystem, including channels such as TV/Video, OTT/CTV, Paid Social, Paid Search, Programmatic Display, Radio, Digital Audio, and Out-of-Home (OOH)
Advanced proficiency in SQL, Tableau, and Python, including experience with data analysis, dashboard development, reporting automation, and performance modeling
Demonstrated experience with media measurement frameworks and attribution methods such as MMM, MTA, incrementality, experimentation, and A/B testing
Experience using AI, machine learning, and automation tools to improve analytical workflows, reporting, and insight generation, with interest in applying emerging AI capabilities to support decision-making
Strong technical skills in working with large datasets, data validation, data integration, and analytics workflows
Strong analytical and problem-solving skills, with the ability to synthesize complex data into practical business recommendations
Strong written, verbal, and presentation skills, with the ability to communicate technical findings clearly to both technical and non-technical audiences

Job Responsibility

Lead complex media analytics initiatives to evaluate performance across channels, identify optimization opportunities, and quantify business impact
Serve as a strategic analytics partner to Marketing and Media stakeholders by defining business questions, recommending measurement approaches, and interpreting results
Apply and synthesize insights from advanced measurement approaches, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, A/B testing, brand lift studies, and other attribution methodologies
Define and maintain campaign KPIs, measurement taxonomy, benchmarks, and governance standards to support scalable and consistent reporting across products and channels
Translate sophisticated analyses into clear, concise, and persuasive presentations for senior leaders and cross-functional partners
Adapt reporting, analysis, and recommendations in response to evolving business priorities and stakeholder needs
Identify opportunities to improve analytics processes, measurement strategy, automation, and decision support by staying current on industry trends, emerging tools, and best practices
Lead multiple projects and workstreams in a fast-paced, cross-functional environment while maintaining a high standard of analytical quality and stakeholder partnership

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Senior Performance Marketing Manager – SEO/AEO

Location

United States

Salary:

Not provided

Noble Studios

Expiration Date

Until further notice

Requirements

3+ years of digital marketing experience with a primary focus on SEO
agency or multi-client experience preferred
Bachelor's degree in a related field or equivalent experience considered
Hands-on understanding of SEO fundamentals across technical SEO, content strategy, internal linking, structured data, information architecture and offsite authority
Working knowledge of AEO concepts, including entity signals, source/citation analysis, conversational query behavior and how content may be interpreted by AI models and answer engines
Ability to audit technical SEO issues and explain their impact in plain language to cross-functional teams and clients
Demonstrated ability to prioritize recommendations using impact/effort, business goals, dependencies and performance data
Strong analytical, research, written and verbal communication skills, with the ability to turn data and observations into clear next steps
Comfort using GA4, Google Search Console, Excel/Google Sheets, Looker Studio, crawling tools such as Screaming Frog, and SEO research/ranking platforms and CMS platforms
Working knowledge of HTML, CSS, JavaScript rendering considerations, and schema markup

Job Responsibility

Contribute to SEO and Answer Engine Optimization (AEO) strategies for assigned clients by translating client goals, audience behavior, search intent and performance data into practical recommendations
Own day-to-day SEO/AEO deliverables with rigor, polish and clear rationale, including audits, content briefs, analysis, reporting inputs and optimization recommendations that help the team move work forward
Collaborate with content, development, analytics, paid media, account and strategy teams to ensure SEO/AEO recommendations are actionable, integrated and tied to broader marketing plans
Conduct keyword, topic, intent, SERP, competitor and AI research to identify content gaps, entity and authority opportunities and visibility risks across traditional search and AI platforms
Understand how AI models understand, summarize, cite and recommend brands and translate analysis into identified patterns, source/citation gaps and recommended actions
Support offsite integration strategies by researching social media, citations, digital PR, partnership, other cross-channel signals that influence organic visibility and AI visibility
Audit technical SEO issues including crawlability, indexation, internal linking, URL structure, redirects, canonicalization, XML sitemaps, robots directives, page speed/Core Web Vitals, mobile usability, JavaScript rendering and schema markup
Analyze and translate technical findings into prioritized roadmaps that balance business impact, user value, level of effort, development dependencies and performance risk
Identify and implement structured data, metadata, internal linking and content enhancements that improve search engine and answer engine understanding, eligibility for rich results and alignment with user intent
Monitor organic performance using platforms such as GA4, Google Search Console, Data Studio, and rank/visibility tools to surface signals early and clearly explain what changed, why it matters and what to do next

What we offer

Two fully paid companywide weeks off annually (July & December)
Start with 10 vacation days + 5 paid sick & safe days + all company holidays
Growth-minded culture
Regular guest speakers, seminars, and team roundtables
Support for continued professional development

Fulltime

Senior Performance Marketing Manager – SEO/AEO

Location

United States

Salary:

Not provided

Noble Studios

Expiration Date

Until further notice

Requirements

3+ years of digital marketing experience with a primary focus on SEO
agency or multi-client experience preferred
Bachelor's degree in a related field or equivalent experience considered
Hands-on understanding of SEO fundamentals across technical SEO, content strategy, internal linking, structured data, information architecture and offsite authority
Working knowledge of AEO concepts, including entity signals, source/citation analysis, conversational query behavior and how content may be interpreted by AI models and answer engines
Ability to audit technical SEO issues and explain their impact in plain language to cross-functional teams and clients
Demonstrated ability to prioritize recommendations using impact/effort, business goals, dependencies and performance data
Strong analytical, research, written and verbal communication skills, with the ability to turn data and observations into clear next steps
Comfort using GA4, Google Search Console, Excel/Google Sheets, Looker Studio, crawling tools such as Screaming Frog, and SEO research/ranking platforms and CMS platforms
Working knowledge of HTML, CSS, JavaScript rendering considerations, and schema markup

Job Responsibility

Contribute to SEO and Answer Engine Optimization (AEO) strategies for assigned clients by translating client goals, audience behavior, search intent and performance data into practical recommendations
Own day-to-day SEO/AEO deliverables with rigor, polish and clear rationale, including audits, content briefs, analysis, reporting inputs and optimization recommendations that help the team move work forward
Collaborate with content, development, analytics, paid media, account and strategy teams to ensure SEO/AEO recommendations are actionable, integrated and tied to broader marketing plans
Conduct keyword, topic, intent, SERP, competitor and AI research to identify content gaps, entity and authority opportunities and visibility risks across traditional search and AI platforms
Understand how AI models understand, summarize, cite and recommend brands and translate analysis into identified patterns, source/citation gaps and recommended actions
Support offsite integration strategies by researching social media, citations, digital PR, partnership, other cross-channel signals that influence organic visibility and AI visibility
Audit technical SEO issues including crawlability, indexation, internal linking, URL structure, redirects, canonicalization, XML sitemaps, robots directives, page speed/Core Web Vitals, mobile usability, JavaScript rendering and schema markup
Analyze and translate technical findings into prioritized roadmaps that balance business impact, user value, level of effort, development dependencies and performance risk
Identify and implement structured data, metadata, internal linking and content enhancements that improve search engine and answer engine understanding, eligibility for rich results and alignment with user intent
Monitor organic performance using platforms such as GA4, Google Search Console, Data Studio, and rank/visibility tools to surface signals early and clearly explain what changed, why it matters and what to do next

What we offer

Two fully paid companywide weeks off annually (July & December)
10 vacation days + 5 paid sick & safe days + all company holidays
Regular guest speakers, seminars, and team roundtables
Support for continued professional development

Fulltime

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Senior Marketing Analytics Engineer - Paid Media

Job Description

Job Responsibility

Requirements

What we offer

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