5 111 Adobe Analytics jobs in Vietnam

Position Overview

We're seeking a data-driven, strategic Business Analyst to connect Emotiv's growth ambitions to quantifiable results. You'll create, manage, and optimize multi‑channel marketing programs—turning business goals into evidence‑based actions that accelerate acquisition, activation, and revenue expansion.

1. Campaign Strategy & Planning

●   Design and map multi‑channel marketing campaigns aligned to Emotiv's strategic goals and segment‑specific needs.

●   Define success via SMART KPIs, budget planning, and ROI forecasts.

2. Execution & Coordination

●   Coordinate cross‑functionally—Product, Sales, Design, Customer Success—to align on campaign deliverables.

●   Oversee creation and launch: landing pages, email nurture flows, paid ads, webinars, and product promotions.

3. Performance Tracking & Optimization

●   Own KPI dashboards (Data Studio, Amplitude) and regularly report marketing data to stakeholders (incl. Funnel performance, ads, email, SEO, social & content data).

●   Analyze campaign data (e.g., GA4, HubSpot, Looker Studio), identifying trends and growth areas.

●   Develop and maintain reporting in
Google Data Studio
to surface real‑time performance insights for stakeholders.

●   Optimize ongoing initiatives through A/B testing, incremental improvements, and stakeholder insights.

4. Requirements Gathering & Stakeholder Alignment

●   Lead stakeholder interviews and workshops to clarify campaign scope, objectives, and success criteria.

●   Provide clear audience maps, campaign briefs, and documentation to ensure alignment.

5. Insights & Reporting

●   Build dashboards and present actionable insights to leadership, recommending next steps and resources.

6. Team & Vendor Management

●   Manage freelance agencies and internal junior team members: setting goals, onboarding, mentoring.

●   Advise on recruitment and development of analytical and marketing talent.

7. Event & Promotion Management

●   Lead planning and execution of global events—webinars, trade shows, demos—to support lead generation.

●   Partner with creative teams on collateral, messaging, and brand storytelling.

Required Qualifications

●   Bachelor's degree in Business, Marketing, Data Science, or related field.

● years in performance-focused marketing campaigns (preferably tech, SaaS, health tech).

●   Deep experience with marketing automation (HubSpot, Klaviyo), analytics tools (GA4, Looker), and paid media.

●   Proven ability in stakeholder management, requirements elicitation, and documentation.

●   Strong analytical, communication, and project-management skills.

●   Comfortable in agile, fast-evolving environments.

Preferred Qualifications

●   Experience in neurotech, health tech, or wellness.

●   Certifications: HubSpot, Google Ads, PMP, CBAP.

●   Hands-on with SQL, Tableau, or data visualization tools.

●   Global marketing experience (Europe, APAC, North America).

Application Process

Send your resume to Ms. Huyen

• Develop and implement marketing analytics frameworks and measurement strategies.
• Analyze campaign performance across various channels (digital, offline) to identify trends and opportunities.
• Build and maintain interactive dashboards and reports to visualize key marketing KPIs.
• Conduct in-depth analysis of customer behavior, acquisition, retention, and lifetime value.
• Provide data-driven recommendations to optimize marketing spend and improve campaign effectiveness.
• Collaborate with marketing, product, and sales teams to define data requirements and reporting needs.
• Stay abreast of the latest analytics tools, techniques, and industry best practices.
• Perform A/B testing and other statistical analyses to inform marketing decisions.
• Ensure data accuracy and integrity across all marketing platforms.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Marketing Analytics, or a related quantitative field.
• Minimum of 5 years of experience in marketing analytics, data analysis, or a similar role.
• Proficiency in data analysis tools and languages such as SQL, Python, or R.
• Advanced experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of marketing principles and various marketing channels.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex data insights effectively to diverse audiences.
• Experience working in a hybrid environment, collaborating effectively remotely and in-office.
• Familiarity with marketing automation platforms and attribution modeling is a plus.

• Develop and implement sophisticated predictive models and machine learning algorithms to analyze marketing data.
• Identify key drivers of customer acquisition, retention, and lifetime value.
• Design and analyze A/B tests and other experiments to measure the impact of marketing initiatives.
• Build dashboards and reports to visualize key marketing metrics and trends for stakeholders.
• Collaborate with marketing, product, and engineering teams to translate business questions into analytical frameworks.
• Extract, clean, and transform large datasets from various sources.
• Stay abreast of the latest advancements in data science, machine learning, and marketing analytics.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Contribute to the development of the company's data strategy and analytical capabilities.
• Mentor junior data analysts and scientists.

• Master's or PhD in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data science or advanced analytics, with a focus on marketing.
• Strong proficiency in programming languages such as Python or R.
• Expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning).
• Experience with SQL and working with large, complex datasets.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to convey complex information effectively.
• Experience working in a hybrid work environment.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

• Develop and implement advanced statistical models and machine learning algorithms to analyze marketing data.
• Design and execute A/B tests and other experiments to measure the effectiveness of marketing initiatives.
• Build predictive models for customer segmentation, churn prediction, lifetime value estimation, and campaign response.
• Analyze large datasets to identify trends, patterns, and insights related to customer behavior and market dynamics.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with marketing teams to define KPIs and track performance against goals.
• Work with engineering teams to ensure data quality, integrity, and accessibility.
• Provide data-driven recommendations to optimize marketing spend, target audiences, and campaign strategies.
• Stay current with the latest advancements in data science, machine learning, and marketing analytics.
• Mentor junior data scientists and contribute to the team's technical growth.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data science or a similar analytical role, with a focus on marketing analytics.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling techniques, experimental design, and A/B testing.
• Experience with SQL and working with large-scale databases.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Demonstrated ability to deliver impactful insights and drive business outcomes.

• Develop and implement comprehensive performance marketing strategies to achieve key business objectives, including customer acquisition cost (CAC), lifetime value (LTV), and return on ad spend (ROAS).
• Oversee all paid media channels, including SEM, social media advertising, display advertising, and affiliate marketing.
• Manage and optimize campaign budgets across various platforms to maximize efficiency and effectiveness.
• Lead the development and execution of A/B testing strategies to continuously improve campaign performance and user experience.
• Utilize advanced analytics and reporting tools to track, measure, and analyze marketing campaign performance.
• Generate regular performance reports with actionable insights and present findings to senior leadership.
• Collaborate with the broader marketing team to ensure integrated campaign execution and consistent brand messaging.
• Stay abreast of the latest trends, technologies, and best practices in performance marketing and digital analytics.
• Develop predictive models and forecasting to inform marketing strategies and resource allocation.
• Manage and mentor a team of performance marketing specialists and data analysts.
• Drive innovation in marketing attribution models and measurement frameworks.
• Identify and evaluate new growth opportunities and potential marketing channels.

• Bachelor's degree in Marketing, Statistics, Economics, Business Analytics, or a related quantitative field. Master's degree is a plus.
• Minimum of 7 years of progressive experience in performance marketing, digital analytics, or a related field, with at least 3 years in a leadership role.
• Proven expertise in managing large-scale paid media campaigns across platforms like Google Ads, Facebook Ads, LinkedIn Ads, etc.
• Strong proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar.
• Experience with data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills.
• Deep understanding of marketing attribution models and measurement methodologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to translate complex data into clear, actionable insights and strategic recommendations.
• Strong leadership, team management, and communication skills.
• Experience in developing and managing marketing budgets effectively.
• Familiarity with marketing automation platforms and CRM systems is a plus.
• Ability to work effectively in a fast-paced, results-oriented environment.

• Assist in the collection, cleaning, and organization of marketing data from various sources, including digital campaigns, social media, and website analytics.
• Support the creation of marketing performance reports and dashboards, identifying key trends and insights.
• Conduct basic data analysis under the guidance of senior team members to understand campaign effectiveness and customer behavior.
• Help in the preparation of presentations and summaries of analytical findings for marketing teams.
• Learn and apply statistical methods and analytical tools to marketing challenges.
• Collaborate with team members on ongoing projects and initiatives.
• Contribute to A/B testing analysis and provide recommendations for optimization.
• Ensure data accuracy and integrity throughout all analysis processes.
• Gain exposure to various marketing analytics platforms and software.
• Participate in team meetings and contribute fresh perspectives.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Marketing, Computer Science, or a related quantitative field.
• Strong analytical and quantitative skills with a keen eye for detail.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of statistical concepts and principles.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team environment and independently when required.
• Eagerness to learn and develop new skills in data analytics and marketing.
• Proactive attitude and strong problem-solving capabilities.
• Previous internship experience in a related field is advantageous but not required.

• Assist in the collection, extraction, and organization of marketing data from various sources (e.g., web analytics platforms, social media, CRM systems).
• Perform data cleaning and validation to ensure accuracy and integrity of datasets.
• Conduct preliminary analysis of marketing campaign performance, website traffic, and customer behavior using analytical tools.
• Generate reports and dashboards to visualize key marketing metrics and trends.
• Support senior analysts in ad-hoc data requests and research initiatives.
• Help identify patterns and insights within data to inform marketing strategies.
• Learn and apply various data analysis techniques and tools.
• Contribute to discussions and provide support for A/B testing and campaign optimization efforts.
• Maintain documentation of data sources, methodologies, and analysis findings.
• Collaborate with team members to ensure data accuracy and timely delivery of insights.

• Recent graduate with a Bachelor's degree in Data Science, Statistics, Economics, Marketing, Computer Science, or a related quantitative field.
• Foundational understanding of data analysis principles and statistical concepts.
• Proficiency in Microsoft Excel, including pivot tables and VLOOKUPs.
• Familiarity with SQL for data extraction and manipulation is a strong plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) or marketing analytics platforms (e.g., Google Analytics) is advantageous.
• Strong attention to detail and accuracy.
• Excellent problem-solving and critical thinking skills.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in collecting and organizing data from various marketing channels (e.g., social media, email campaigns, website analytics).
• Perform data cleaning and validation to ensure accuracy and integrity.
• Conduct basic data analysis to identify key trends, patterns, and insights related to marketing campaigns.
• Help create reports and dashboards to visualize marketing performance metrics.
• Support the marketing team in measuring the ROI of marketing initiatives.
• Learn and apply various data analysis techniques and tools.
• Assist in A/B testing analysis and provide recommendations for optimization.
• Collaborate with team members to understand data requirements and deliver timely insights.
• Stay updated on industry best practices in data analysis and marketing analytics.
• Contribute to ad-hoc data analysis requests as needed.

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Marketing, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Proficiency in Microsoft Excel (pivot tables, VLOOKUP, charting).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of SQL for data extraction is desirable.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt in a fast-paced environment.
• Previous internship or project experience in data analysis is a plus.