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Digital Marketing Data Analyst
3 months ago
MUST HAVES:
- Bachelor's Degree in data analytics, statistics or a related field
- 3 or more years of digital marketing analytics experience
- Proficiency in DAX (Data Analysis Expressions) (PowerBI language)
- Proficiency in PowerBI/Looker Studio/Tableau for data visualization and dashboard creation
- Strong SQL skills, for data querying, manipulation, and extraction
- Experience with Server-Side Tag Management
- Proficiency in BigQuery for data storage, management, and analysis
- Experience in Customer Data Modeling and Integration support for Salesforce Marketing Cloud - major part of the future for them
DAY TO DAY: Our client is looking for a Digital Marketing Data Analyst to join their team As a Marketing Data Analyst specializing in digital marketing, you’ll play a crucial role within our dynamic team. Your primary responsibility involves analyzing and interpreting digital marketing data to inform strategic decision-making and enhance marketing outcomes. Leveraging your expertise in data analytics and digital marketing systems, you’ll extract actionable insights from complex datasets. The ideal candidate will have a strong foundation in PowerBI, SQL, and BigQuery, with experience in audience development and integration support for platforms like Salesforce Marketing Cloud, Looker (Enterprise), and PowerBI. This role offers a unique opportunity to contribute to the advancement of digital marketing analytics and broader data management practices, interfacing with other strategic business units. Ultimately, your goal is to leverage data to positively impact campaign performance, user experience, and ad spend efficiency. If you’re a data-driven professional seeking to make a significant impact in digital marketing for a mission-driven healthcare organization, this role is ideal.
Responsibilities Include (But aren't limited to):
Data Management and Analysis:
Develop and implement data collection processes to ensure accurate and timely capture of marketing performance metrics.
Manage and analyze data from multiple sources, including Google Analytics, social media platforms, email marketing tools, and advertising platforms.
Create and maintain dashboards and reports to track key performance indicators (KPIs) and campaign metrics using PowerBI, Looker Studio, or Tableau.
Perform deep-dive analyses to identify trends, insights, and opportunities for improvement.
Utilize PowerBI/Looker to create interactive dashboards and reports that provide actionable insights into marketing performance metrics, campaign outcomes, and operational efficiency.
Conduct exploratory data analysis to identify trends, patterns, and anomalies within marketing datasets.
Campaign Measurement and Reporting:
Measure and report on the performance of digital marketing campaigns, including paid media, organic search, social media, and email marketing.
Provide regular reports and insights to marketing leadership and other stakeholders to inform strategic decisions.
Develop and present comprehensive campaign performance reports, highlighting successes, areas for improvement, and actionable recommendations.
Optimization and Insights:
Use data to identify opportunities for optimizing marketing campaigns and improving ROI.
Conduct A/B testing and other experiments to determine the effectiveness of different marketing strategies and tactics.
Provide data-driven recommendations to enhance targeting, messaging, and overall campaign effectiveness.
Utilize first-party data to develop and refine audience segments for targeted advertising efforts.
Collaborate with advertising partners to leverage data insights for improving conversions and ad spend efficiency.
Collaboration and Communication:
Work closely with the digital marketing team to understand campaign objectives and data needs.
Collaborate with cross-functional teams, including IT, web development vendors, digital and creative agencies, to ensure data integrity and alignment with marketing goals.
Communicate complex data insights in a clear and concise manner to non-technical stakeholders.
Data Extraction and Manipulation:
Write and optimize SQL queries to extract and manipulate data from relational databases, data warehouses, and other data sources, including BigQuery and Azure SQL.
Perform data cleaning, transformation, and validation to ensure data accuracy and consistency.
Automate data extraction and transformation processes to streamline analysis workflows and improve efficiency.
Customer Data Integration and Modeling:
Support customer data modeling and integration efforts with Salesforce Marketing Cloud to ensure seamless data flow and comprehensive customer profiles.
Leverage Server-Side Tag Management for enhanced data collection and processing.
Develop and maintain robust data models to support advanced analytics and audience development initiatives.
Governance and Compliance:
- Ensure compliance with data regulations and privacy standards, particularly around HIPAA and consumer protection regulations, by implementing appropriate data governance practices and security measures.