DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
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For further inquiries regarding the following opportunity, please contact one of our Talent Specialists
Meghna at
Divya at
Title: Senior Marketing Data Analyst (REMOTE)
Location: Remote
Duration: 9 Months
Description:
Are you a seasoned data analyst with a passion for driving marketing strategies? We are seeking a Senior Marketing Data Analyst to join our team and lead data-driven decision-making in our omni-channel marketing initiatives. As a Senior Marketing Data Analyst, you will play a pivotal role in analyzing complex marketing data, deriving actionable insights, and optimizing omni-channel programs to maximize ROI and customer engagement.
Why Join Us:
Joining our team means being at the forefront of omni-channel marketing analytics, driving innovation, and making a meaningful impact on our business and customer experiences.
Responsibilities:
1. Data Analysis: Utilize advanced data analysis techniques and tools to analyze omni-channel marketing data, including digital, offline, and integrated campaigns, to identify trends, patterns, and opportunities for optimization.
2. Campaign Performance: Assess the performance of omni-channel marketing campaigns, including email marketing, social media, PPC, SEO, and traditional media, to evaluate effectiveness and impact on key metrics.
3. Customer Journey Analysis: Analyze the customer journey across multiple touchpoints and channels to understand behavior, preferences, and interactions, and make data-driven recommendations to enhance the customer experience.
4. Segmentation and Personalization: Leverage data insights to create audience segments, develop personalized messaging strategies, and implement targeted marketing campaigns that resonate with different customer segments.
5. Omni-Channel Attribution: Develop omni-channel attribution models to accurately attribute conversions and ROI to various marketing channels, informing budget allocation and resource optimization decisions.
6. Data Visualization: Create dynamic dashboards and visualizations to communicate omni-channel marketing performance, trends, and insights to stakeholders across the organization.
7. Collaboration: Collaborate with cross-functional teams, including marketing, sales, product, and IT, to align data analytics efforts with business goals and drive strategic initiatives.
8. Continuous Improvement: Stay updated with industry trends, best practices, and emerging technologies in omni-channel marketing and data analytics, and drive continuous improvement initiatives within the data analytics function.
Required Skills:
Proficiency in analyzing marketing data using Tableau to derive actionable insights and optimize campaigns. 3-4 years
Experience in monitoring and optimizing marketing campaigns across multiple channels, leveraging data insights from your own SQL queries to maximize ROI and achieve business goals 3-4 years
Google Analytics Proficiency: Mastery of Google Analytics to track, analyze, and interpret website and campaign data, extracting valuable insights to optimize marketing strategies. 4 years
SQL, Tableau, Excel, Nice to have: GitHub, Jira (or similar ticketing platform)
About us:
DivIHN , the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
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