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JOB VACANCY – PT UTAMA GLOBALINDO CARGO (UGC LOGISTICS)

With over 25 years of experience in the logistics industry, UGC Logistics is looking for two professionals to join our established Marketing team in Jakarta. We are seeking passionate, meticulous individuals who are ready to make a real impact on the company.

Position: Marketing Analytics & Customer Experience Officer

Position Goal:

As the Marketing Analytic & Customer Experience Officer, you will be responsible for transforming marketing data into a single source of truth. You will ensure data integrity, build automation, measure customer satisfaction, and provide market analysis to support accurate decision-making.

Key Responsibilities:

1. Maintain CRM data cleanliness and completeness: Conduct weekly data audits, remove duplicates, and ensure all customer data is complete and accurate.
2. Build and maintain marketing automation: Integrate web forms with the CRM, set up lead assignment flows to the sales team, and design lead nurturing funnels via email or other professional channels.
3. Execute the Customer Experience program: Design and send post-project surveys to measure Customer Satisfaction and Net Promoter Score, as well as manage a testimonial bank.
4. Compile competitor and industry trend analysis: Monitor competitors' marketing activities and summarize findings into actionable strategic recommendations on a quarterly basis.
5. Manage social media analytics: Build dashboards to monitor platform performance (LinkedIn, TikTok, Facebook, Instagram) and ensure the integrity of tracking data (pixels and events).

Qualifications:

• Minimum Bachelor's degree (S1), preferably in Information Systems, Statistics, Business Analytics, or Industrial Engineering.
• 1-2 years of work experience as a marketing intelligence specialist, data analyst, or in a similar role.
• Experience managing CRM systems (such as HubSpot, Zoho, or Salesforce), including data hygiene and segmentation.
• Able to build automation flows and create integrated dashboards using data visualization tools (like Looker Studio).
• Understand data privacy principles, campaign tagging, and are proficient in advanced spreadsheet data processing.
• Experience in designing customer satisfaction surveys.

How To Apply:

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Why Join Us?

You will be at the center of tactical decision-making, ensuring every marketing step is based on accurate data and sharp insights. This role provides an opportunity to build an analytical system that directly impacts business growth.

• Develop and maintain comprehensive marketing analytics dashboards and reports.
• Define key performance indicators (KPIs) and measurement frameworks for marketing campaigns.
• Analyze campaign performance across various channels (digital, traditional) to identify trends and insights.
• Conduct A/B testing and other experiments to optimize marketing strategies and tactics.
• Perform customer segmentation and lifetime value analysis to inform targeting.
• Translate complex data findings into clear, actionable recommendations for marketing teams.
• Collaborate with marketing stakeholders to understand their data needs and provide analytical support.
• Monitor marketing spend and ROI, providing recommendations for budget allocation.
• Stay updated on the latest marketing analytics tools, technologies, and best practices.
• Ensure data accuracy, integrity, and governance across marketing platforms.
• Present findings and strategic recommendations to senior management.
• Contribute to the development of marketing technology strategy and implementation.

• Master's degree in Marketing, Statistics, Economics, Business Analytics, or a related quantitative field.
• 7+ years of experience in marketing analytics, data analysis, or a related role.
• Proven expertise in data analysis tools (e.g., SQL, R, Python) and statistical modeling.
• Proficiency with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of marketing principles and digital marketing channels.
• Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation abilities, with the capacity to explain complex data to diverse audiences.
• Experience working in a hybrid work environment.
• Familiarity with marketing automation and CRM platforms.

• Assist in collecting, cleaning, and organizing marketing data from various sources.
• Perform data analysis to track marketing campaign performance and ROI.
• Develop and maintain reports and dashboards to visualize key marketing metrics.
• Identify trends, patterns, and insights within marketing data.
• Support the marketing team in interpreting data and making data-driven decisions.
• Conduct basic A/B testing analysis for marketing initiatives.
• Document data analysis processes and findings.
• Learn and apply new analytical tools and techniques.
• Collaborate with team members on data-related projects.

• Currently pursuing or recently completed a Bachelor's degree in Marketing, Statistics, Economics, Computer Science, or a related field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel or Google Sheets for data manipulation and analysis.
• Basic understanding of marketing principles and campaign metrics.
• Eagerness to learn and adapt to new technologies and software.
• Excellent written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Familiarity with SQL, R, Python, or data visualization tools is a plus.

• Assist in the collection, cleaning, and organization of marketing data from various sources (e.g., web analytics, social media, CRM, advertising platforms).
• Perform data validation and quality checks to ensure accuracy and consistency.
• Support the analysis of marketing campaign performance, website traffic, customer behavior, and sales data.
• Create clear and concise data visualizations (charts, graphs, dashboards) to communicate findings.
• Assist in generating regular reports on key marketing metrics and trends.
• Identify patterns and trends in data to provide basic insights for marketing initiatives.
• Collaborate with the marketing team to understand data needs and reporting requirements.
• Learn and utilize various data analysis tools and techniques.
• Contribute to A/B testing analysis and provide preliminary results.
• Maintain organized documentation of data sources, methodologies, and findings.
• Support ad-hoc data requests from the marketing department.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Marketing, or a related quantitative field.
• Strong understanding of basic statistical concepts.
• Proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUP, charting).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of SQL for data extraction is a plus.
• Excellent attention to detail and accuracy.
• Good analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively both independently and as part of a team.
• A genuine interest in marketing and data analysis.

• Assist in collecting and cleaning marketing data from various sources, including digital advertising platforms, social media, website analytics, and CRM systems.
• Perform basic data analysis to identify trends, patterns, and insights related to campaign performance, customer behavior, and market dynamics.
• Create reports and dashboards to visualize marketing data and key performance indicators (KPIs) for stakeholders.
• Support the marketing team in A/B testing initiatives and evaluating campaign effectiveness.
• Help in monitoring social media engagement and online brand sentiment.
• Contribute to the development of marketing strategies by providing data-driven recommendations.
• Assist in ad-hoc data requests and research projects as needed.
• Learn and apply various data analysis tools and techniques.
• Collaborate with team members to understand business objectives and translate them into data analysis requirements.
• Participate in team meetings and contribute to discussions on marketing performance and strategy.

• Currently pursuing or recently completed a Bachelor's degree in Marketing, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• 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 marketing principles and digital marketing channels.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment and independently.
• Eagerness to learn and develop new skills in data analysis and marketing.
• Previous internship or project experience in data analysis or marketing is beneficial.

• Design, develop, and implement advanced statistical models and machine learning algorithms to analyze marketing data.
• Extract, clean, and transform data from various sources to prepare it for analysis.
• Conduct in-depth analysis of customer behavior, campaign performance, and market trends.
• Develop predictive models for customer segmentation, churn prediction, lifetime value, and campaign response.
• Create compelling data visualizations and dashboards to communicate insights to stakeholders.
• Collaborate with marketing teams to define key performance indicators (KPIs) and measure the effectiveness of marketing initiatives.
• Provide strategic recommendations based on data analysis to optimize marketing spend and ROI.
• Stay up-to-date with the latest advancements in data science, machine learning, and marketing analytics techniques.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Evaluate and implement new tools and technologies to enhance data analysis capabilities.

• 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 related analytical role, with a focus on marketing analytics.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with large databases.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
• Proven ability to translate complex data into actionable business insights.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience with A/B testing and marketing campaign analysis.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

• Assist in collecting and organizing marketing data from various sources.
• Perform data cleaning and preprocessing tasks to ensure accuracy and consistency.
• Support the analysis of marketing campaign performance, website analytics, and customer behavior data.
• Help generate regular reports on key marketing metrics and KPIs.
• Assist in the preparation of data for A/B testing and other experimental analyses.
• Identify trends and patterns in data to provide basic insights.
• Collaborate with the marketing team to understand data requirements.
• Learn and apply data analysis techniques and tools.
• Contribute to the development of dashboards and visualizations.
• Maintain data integrity and documentation standards.

• Currently pursuing a Bachelor's degree in Statistics, Mathematics, Economics, Business, Marketing, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel or Google Sheets.
• Basic understanding of data analysis principles.
• Eagerness to learn and develop skills in data analytics and marketing.
• Good communication and interpersonal skills.
• Attention to detail and ability to manage tasks effectively.
• Familiarity with SQL or any programming language (e.g., Python) is a plus.
• Previous internship experience in a related field is a plus.