Marketing Data Analyst

At Vintti, we're redefining the economics of staffing for US businesses. Our agency connects SMBs, startups, and firms with top Latin American talent, offering a dual benefit of high-quality work and cost savings. By tapping into this rich talent pool, our clients can optimize their budgets, increase productivity, and gain a competitive advantage in their respective markets.

A Marketing Data Analyst plays a crucial role in the marketing team by leveraging data to drive decision-making and optimize marketing strategies. This role involves collecting, processing, and analyzing data related to consumer behavior, market trends, and campaign performance. By interpreting complex datasets, the Marketing Data Analyst provides actionable insights that help in improving customer engagement, enhancing ROI, and identifying opportunities for growth. Collaboration with cross-functional teams is essential to ensure data-driven strategies align with overall business objectives, making this role vital for informed marketing efforts.

- Bachelor's degree in Marketing, Data Science, Statistics, Economics, or a related field
- Proven experience as a Data Analyst, preferably within the marketing domain
- Strong proficiency in SQL for querying databases
- Hands-on experience with data visualization tools, such as Tableau or Power BI
- Advanced skills in Google Analytics and Excel
- Solid understanding of statistical analysis techniques and methodologies
- Experience with A/B testing and multivariate experiments
- Ability to translate complex data into actionable insights and strategic recommendations
- Excellent problem-solving skills and attention to detail
- Strong communication skills, both written and verbal, with the ability to present data findings clearly
- Demonstrated ability to work collaboratively with cross-functional teams
- Knowledge of digital marketing channels and metrics
- Familiarity with predictive modeling and machine learning concepts
- Proven ability to handle multiple projects simultaneously and meet tight deadlines
- Strong analytical mindset and the ability to work with large and complex datasets
- Commitment to maintaining data integrity and confidentiality
- Familiarity with data integration, ETL processes, and data warehousing concepts

- Collect, clean, and analyze complex datasets to uncover trends and insights
- Develop and maintain detailed dashboards to monitor key performance metrics
- Generate comprehensive daily, weekly, and monthly reports on marketing performance
- Conduct rigorous A/B testing and evaluate results to refine marketing strategies
- Apply statistical techniques to interpret data and produce actionable insights
- Collaborate closely with marketing and sales teams to inform data-driven decisions
- Continuously track and assess online marketing metrics for improvement opportunities
- Analyze the effectiveness of various marketing channels and campaigns
- Present clear, concise findings and recommendations to stakeholders
- Execute SQL queries to retrieve pertinent data for analysis
- Leverage tools such as Google Analytics, Tableau, and Excel for visualization and reporting
- Ensure data integrity and maintain confidentiality throughout all processes
- Assist in developing predictive models to forecast future marketing trends
- Keep abreast of industry best practices and emerging trends in data analytics
- Work in conjunction with IT teams to ensure data accuracy and tool functionality
- Identify and resolve data-related issues to enhance data quality
- Support ad-hoc data analysis requests and contribute to special projects

The ideal candidate for the Marketing Data Analyst role is a highly analytical and detail-oriented professional with a Bachelor's degree in Marketing, Data Science, Statistics, Economics, or a related field, and proven experience as a Data Analyst, preferably in the marketing domain. They possess a strong proficiency in SQL, advanced skills in Google Analytics and Excel, and hands-on experience with data visualization tools like Tableau or Power BI. Their solid understanding of statistical analysis techniques, combined with experience in A/B testing and multivariate experiments, enables them to translate complex data into actionable insights and strategic recommendations effectively. With excellent problem-solving skills, a keen attention to detail, and robust communication abilities, they can present data findings clearly to stakeholders and work collaboratively with cross-functional teams. They are passionate about data and marketing, curious about learning new technologies, and dedicated to continuous improvement and development. This candidate brings a proactive problem-solving mindset and the ability to manage multiple projects while meeting tight deadlines. Their strategic thinking, results-driven approach, and commitment to maintaining data integrity and confidentiality make them a valuable asset. They are also adaptable and flexible in a fast-paced environment, with a self-motivated work ethic and the ability to simplify complex data for non-technical stakeholders, thus ensuring data-driven decisions align with business goals.

- Collect, clean, and analyze large datasets to identify trends and patterns
- Create and maintain dashboards to track key performance indicators (KPIs)
- Generate daily, weekly, and monthly reports to monitor marketing performance
- Conduct A/B testing and analyze results to optimize marketing campaigns
- Use statistical methods to analyze and interpret data and provide actionable insights
- Collaborate with marketing and sales teams to develop data-driven strategies
- Monitor online marketing metrics and identify areas for improvement
- Evaluate the effectiveness of marketing channels and campaigns
- Present findings and recommendations to stakeholders in clear, concise formats
- Query databases using SQL to extract relevant data for analysis
- Utilize tools like Google Analytics, Tableau, and Excel for data visualization and reporting
- Maintain data integrity and confidentiality throughout all analyses
- Assist in the development of predictive models to forecast marketing trends
- Stay updated with industry best practices and emerging trends in data analytics
- Work closely with IT teams to ensure data accuracy and proper functioning of analytics tools
- Troubleshoot data-related issues and provide solutions to improve data quality
- Support ad-hoc data requests and special projects as needed

- Strong analytical and critical thinking skills
- Detail-oriented and highly organized
- Proactive problem solver
- Excellent communication and presentation abilities
- Collaborative and team-oriented mindset
- Adaptable and flexible in a fast-paced environment
- Passionate about data and marketing
- Curious and eager to learn new technologies and trends
- Ability to manage multiple projects and prioritize tasks
- High degree of integrity and commitment to data confidentiality
- Strategic thinker with a results-driven approach
- Self-motivated with a strong work ethic
- Ability to simplify complex data for non-technical stakeholders
- Creative thinker with innovative approaches to data analysis
- Strong project management skills
- Dedication to continuous improvement and development
- Ability to work independently and take initiative
- Customer-focused mindset
- Resilient and able to handle pressure and tight deadlines

- Competitive salary range
- Comprehensive health insurance (medical, dental, vision)
- 401(k) retirement plan with company match
- Generous paid time off (PTO) and holidays
- Flexible working hours
- Remote work options or hybrid work environment
- Professional development opportunities and training programs
- Tuition reimbursement for further education
- Employee wellness programs
- Access to company-sponsored events and social activities
- Performance bonuses and incentive programs
- Paid parental leave
- Short-term and long-term disability insurance
- Life insurance coverage
- Employee assistance programs (EAP)
- Modern and collaborative office spaces
- Free snacks and beverages in the office
- Opportunities for internal career advancement
- Mentorship programs and peer learning groups
- Access to the latest data analytics tools and technologies