Business Analyst
If you’re looking for a full-service agency that’s shaking up the marketing landscape and creating momentum– you’re in the right place. At Hiebing, we’re a passionate, full-service crew fueled by curiosity, dedicated to doing great work and good deeds. Collaboration is second nature for our teams in both Madison and Austin. They work together to craft meaningful stories for brands we love and pro bono causes we believe in across the country. We believe in the power of our “We Before Me” credo, where the team always has your back and your voice is amplified by others building on your great ideas with a “Yes And”. Think you’d thrive here? Come join the vibe!
We seek a talented Marketing Data Analyst to join our marketing analytics team. The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization, with a particular expertise in Tableau. This role will be responsible for analyzing marketing data, developing insights, and creating interactive dashboards to support data-driven decision-making.
Responsibilities:
- Data Analysis and Insights:
- Analyze marketing data from various sources (e.g., digital campaigns, CRM, social media) to identify trends, patterns, and insights.
- Conduct thorough analysis using statistical methods to evaluate marketing performance and ROI.
- Provide actionable recommendations to improve marketing efforts.
- Proactively bring business performance insights to cross-functional team outside of regularity scheduled reporting cycles.
- Proactively bring forward advanced analytics opportunities to drive additional momentum for client’s businesses.
- Tableau Development:
- Design, develop, and maintain interactive Tableau dashboards to visualize key marketing metrics and performance indicators.
- Ensure dashboards are user-friendly, visually appealing, and provide meaningful insights to stakeholders.
- Continuously improve and update dashboards based on feedback and evolving business needs.
- Data Management and Integration:
- Work with Data Science Engineer to organize marketing data from multiple sources to ensure data accuracy and integrity.
- Integrate data from various platforms and systems to create a comprehensive view of marketing performance.
- Implement data governance best practices to maintain high-quality data standards.
- Collaboration and Communication:
- Work closely with internal and external marketing teams, other data scientists and business analysts to understand business requirements and translate them into data-driven solutions.
- Communicate complex data analysis and insights to non-technical stakeholders in a clear and concise manner.
- Collaborate with cross-functional teams to drive alignment and support marketing initiatives.
- Performance Reporting:
- Lead reporting process to create and distribute regular performance reports to track marketing effectiveness and campaign success.
- Develop custom reports and ad-hoc analyses as needed to support specific marketing initiatives or client requests.
- Monitor key performance indicators (KPIs) and provide insights on areas for improvement related to business outcomes.
- Predictive Modeling and Machine Learning:
- Develop and implement predictive models to forecast marketing outcomes and customer behaviors.
- Use machine learning techniques to segment customers, identify target audiences, and optimize marketing campaigns.
- Continuously evaluate model performance and refine algorithms to enhance predictive accuracy.
- Research and Innovation:
- Stay up-to-date with the latest trends and advancements in data science, marketing analytics, and data visualization.
- Propose and explore new methodologies and tools to enhance the capabilities of the marketing analytics team.
- Experiment with innovative data analysis techniques to drive continuous improvement.
- Bachelor’s or Master’s in Data Science, Statistics, Marketing, Business, or a related field.
- Proven experience as a Business Analyst, Data Analyst, Data Scientist, or similar role.
- Knowledge of data visualization best practices and UX design principles.
- Strong proficiency in Tableau, including designing and developing interactive dashboards.
- Proficiency in statistical analysis and data manipulation using Python and SQL.
- Experience with data integration and ETL processes.
- Experience with A/B testing and experimental design.
- Solid understanding of digital marketing channels and metrics.
- Strong problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills.
- Ability to work on-site Monday, Tuesday & Wednesday weekly in an open-office environment
- Ability to work in the United States without requiring sponsorship now or in the future