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Advertising Data Analyst Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

Solid understanding of Google Analytics, mobile measurement platforms, digital advertising ... Exposure to modern cloud data platforms, AI-powered analytics, and advanced marketing technologies.

New

SPECTRUM

Advertising Coordinator

Saint Louis, MO · On-site

$20/hr

... and de-identified data insights and award-winning creative services. Spectrum Reach helps ... Google Analytics, Freewheel, and other proprietary tools). EDUCATION Bachelor's degree or ...

Jobgether

Experience validating advertising platform data against internal analytics, business intelligence, or backend reporting. * Strong analytical mindset with the ability to make fast, data-driven ...

Blayzer Digital

Paid Advertising Expert

Saint Louis, MO · On-site

If you're passionate about driving results through data-driven strategies and enjoy helping clients ... Analyze and improve: Use analytics tools to monitor results, identify opportunities, and adjust ...

Blayzer Digital

Paid Advertising Expert

Saint Louis, MO · On-site

If you're passionate about driving results through data-driven strategies and enjoy helping clients ... Analyze and improve: Use analytics tools to monitor results, identify opportunities, and adjust ...

Blayzer Digital

Paid Advertising Expert

Saint Louis, MO · On-site

If you're passionate about driving results through data-driven strategies and enjoy helping clients ... Analyze and improve: Use analytics tools to monitor results, identify opportunities, and adjust ...

Jobtailor

Data Scientist, Level 4

California, MO · On-site

$120 - $180/hr

* Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver ... Experience in a product-focused role at a social media, online advertising, digital media and/or ...

New

Jobtailor

Senior Data Scientist

California, MO · On-site

$120 - $180/hr

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver ... Experience in a product‑focused role at a social media, online advertising, digital media and/or ...

New

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Advertising Data Analyst information

What is data analytics in advertising?

Data analytics in advertising involves collecting, processing, and analyzing data from marketing campaigns to measure performance, understand audience behavior, and optimize strategies. Advertising Data Analysts use tools like Excel, SQL, and analytics platforms to interpret data and support data-driven decision-making.

What does an advertising data analyst do?

An Advertising Data Analyst is responsible for collecting, analyzing, and interpreting data related to advertising campaigns. They help organizations understand the performance of their ads by identifying trends, measuring key metrics, and generating insights to optimize advertising strategies. Their work involves using data analysis tools, creating reports, and collaborating with marketing teams to improve campaign effectiveness and maximize ROI.

How does an advertising data analyst typically collaborate with creative and account teams to improve campaign performance?

An Advertising Data Analyst works closely with both creative and account teams by providing actionable insights derived from campaign data. They regularly share performance metrics, identify trends, and highlight areas for optimization, enabling creatives to refine messaging and account managers to adjust strategy. This collaborative approach ensures campaigns are data-driven, effective, and tailored to client objectives. Strong communication skills are essential, as analysts must translate complex analytics into clear recommendations for non-technical team members.

What are the key skills and qualifications needed to thrive as an advertising data analyst, and why are they important?

To thrive as an Advertising Data Analyst, you need strong analytical skills, expertise in statistics, and experience with digital marketing metrics, usually supported by a degree in marketing, statistics, or a related field. Proficiency in data analysis tools such as Google Analytics, SQL, Excel, and visualization platforms like Tableau is typically required. Critical thinking, attention to detail, and effective communication help analysts translate complex data into actionable marketing insights. These skills are vital to drive data-informed advertising strategies and optimize campaign performance.
What are popular job titles related to Advertising Data Analyst jobs in Missouri? For Advertising Data Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Advertising Data Analyst jobs in Missouri look for? The top searched job categories for Advertising Data Analyst jobs in Missouri are:
What cities in Missouri are hiring for Advertising Data Analyst jobs? Cities in Missouri with the most Advertising Data Analyst job openings:
Advertising Data Analyst jobs near you

Senior/Lead Data Analyst - Marketing

Jobgether

Remote

$66K - $83K/yr

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Lead Data Analyst - Marketing based in Netherlands.

Take on a strategic analytics role where data drives marketing performance and business transformation across multiple markets. As a Senior/Lead Data Analyst, you will work at the intersection of marketing, business strategy, and data engineering, delivering insights that shape decision-making and support large-scale integration initiatives. Collaborating with cross-functional teams, you will build scalable reporting solutions, optimize marketing analytics, and help harmonize data across diverse business environments. This position offers the opportunity to influence executive-level decisions while leveraging modern analytics platforms, cloud technologies, and AI-powered workflows. Working in a fully remote, international environment, you will contribute to high-impact projects while helping advance data-driven marketing excellence.

Accountabilities
  • Drive marketing analytics initiatives by delivering actionable insights that improve campaign performance, user acquisition, and overall marketing efficiency.
  • Support business integration and M&A projects by assessing marketing data ecosystems, consolidating reporting structures, aligning KPIs, and ensuring smooth data integration across organizations.
  • Design, develop, and maintain scalable data models, ELT pipelines, and marketing datasets within modern cloud data platforms.
  • Build intuitive dashboards and reporting solutions that provide clear visibility into marketing performance and business outcomes.
  • Partner closely with marketing, product, engineering, and analytics teams to translate business challenges into scalable analytical solutions and actionable recommendations.
  • Lead cross-functional analytics projects from planning through delivery, managing stakeholder communication, timelines, and project risks.
  • Utilize AI tools and automation to improve data preparation, analysis, reporting, and insight generation while continuously enhancing analytical workflows.
Requirements
  • 5+ years of experience in marketing analytics, preferably within digital businesses, online marketplaces, or other data-driven environments.
  • Proven experience supporting complex data integration, organizational transformation, or mergers and acquisitions involving KPI alignment, reporting consolidation, and stakeholder collaboration.
  • Strong SQL expertise and hands-on experience building ELT pipelines using tools such as Airflow, dbt, or similar technologies.
  • Experience working with cloud-based data platforms including BigQuery, Snowflake, Redshift, or equivalent solutions.
  • Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, Amazon QuickSight, or similar platforms.
  • Solid understanding of Google Analytics, mobile measurement platforms, digital advertising ecosystems, and marketing attribution.
  • Demonstrated ability to lead cross-functional analytics initiatives and communicate effectively with technical and business stakeholders.
  • Interest in applying AI tools to enhance analytics workflows and improve the quality and efficiency of data-driven decision-making.
  • Excellent written and verbal English communication skills.
  • Availability to collaborate with international teams during Toronto (EST/EDT) working hours.
  • Experience with attribution models, Google Search Console, Google Tag Manager, Amazon QuickSight, or mobile measurement platforms is considered an advantage.
Benefits
  • Fully remote work environment.
  • Opportunity to work on large-scale, high-impact marketing analytics projects.
  • International collaboration with cross-functional and distributed teams.
  • Exposure to modern cloud data platforms, AI-powered analytics, and advanced marketing technologies.
  • Career growth opportunities through leadership responsibilities and strategic initiatives.
  • Dynamic, collaborative environment focused on innovation, continuous learning, and data-driven decision-making.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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