Marketing Analyst
Description
Position Summary:
Responsible for analyzing data to evaluate and optimize marketing strategies, campaigns, and customer engagement efforts. Collects and interprets data from various sources, such as digital advertising, website traffic, and customer interactions, to uncover trends and actionable insights. Helps ensure marketing efforts are effective and aligned with business goals by monitoring performance metrics like ROI, conversion rates, and customer acquisition costs.
Responsibilities:
- Analyzes marketing campaigns, website performance, and customer data to uncover trends, patterns, and actionable insights.
- Tracks and reports on key performance indicators (KPIs) for digital and traditional marketing channels, including ROI, conversion rates, and customer acquisition cost (CAC).
- Collaborates with the marketing team to optimize campaign performance through A/B testing, segmentation, and targeting.
- Develops dashboards and reports using tools such as Tableau, Power BI, or Google Data Studio to present insights effectively to stakeholders.
- Uses statistical methods and predictive models to forecast campaign outcomes and customer behavior.
- Works closely with marketing, sales, and product teams to align data analysis with business objectives.
- Analyzes competitor performance, market trends, and customer preferences to guide strategic planning.
- Ensures the integrity, accuracy, and security of marketing data in CRM and analytics systems.
- Implements marketing analytics tools and automation for data collection, campaign tracking, and reporting.
- Performs other duties and projects as assigned.
Requirements:
- Bachelor’s Degree in Marketing, Statistics, Data Science, Business Analytics, or a related field (Master’s Degree preferred).
- Minimum four (4) + years of professional experience in marketing analytics, data analysis, or a similar role.
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
- Advanced knowledge of analytics platforms (e.g., Google Analytics, Adobe Analytics).
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Expertise in statistical analysis, forecasting, and predictive modeling.
- Experience with digital marketing channels (e.g., SEO, PPC, email, and social media).
- Experience working with marketing automation platforms (e.g., HubSpot, Salesforce Marketing Cloud).
- Certifications in analytics tools (e.g., Google Analytics Certified, Tableau Desktop Specialist).
- Experience with machine learning or advanced data modeling techniques.
- Knowledge of marketing attribution models and customer journey analytics.
Why work for #teamloanDepot:
- Aggressive compensation package based on experience and skill set.
- Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
- Work with other passionate, purposeful, and customer-centric people.
- Extensive internal growth and professional development opportunities including tuition reimbursement.
- Comprehensive benefits package including Medical/Dental/Vision.
- Wellness program to support both mental and physical health.
- Generous paid time off for both exempt and non-exempt positions.
About loanDepot:
loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, as the nation's second largest non-bank retail mortgage lender, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this roles is between $46,000 and $105,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.