Sagepath Reply is a full-service digital marketing and technology company driven by purpose and fueled by passion to make a difference in how humans interact with technology in a more effective and efficient way. Our clients consist of Fortune 1000 companies across several industries, and we help guide them through digital transformation with the belief that even the smallest detail can make a big difference in making a connection with users and driving conversion and ROI. Our services include digital marketing, user experience, creative, development, optimization, and eCommerce
As a Data Analyst, you will turn complex data into actionable insights that drive business decisions and marketing performance. You’ll implement and manage analytics platforms, develop data-driven strategies, and leverage AI tools to connect marketing data across systems, uncover patterns, and automate reporting. With strong technical expertise, visualization skills, and a consultative mindset, you’ll collaborate with cross-functional teams to translate both traditional and AI-powered insights into strategies that support long-term business growth.
Responsibilities
Leverage AI-Driven Insights - Utilize AI and machine learning (e.g., Google Cloud AI, BigQuery ML) to connect marketing data sources, identify predictive trends, and deliver actionable insights that drive business growth
Manage Analytics Platforms - Implement and maintain Google Analytics (via GTM) and other data tools to ensure accurate, scalable tracking and integration across systems
Develop Data & Measurement Strategies - Create measurement frameworks and KPIs that align with business objectives, incorporating AI-driven analysis for smarter decision-making
Design Business Intelligence Dashboards - Build and maintain data visualizations and reports in Tableau, Power BI, or Looker Studio to communicate insights clearly to stakeholders
Optimize Experiences with Data - Partner with marketing and UX teams to drive conversion optimization and personalization through platforms
Enable Data-Driven Culture - Educate teams on analytics best practices, AI applications, and emerging trends to strengthen data literacy and adoption across the organization
Minimum Requirements
Bachelor’s degree in Computer Science, Data Science, IT, Business Analytics, or a related field
1 years of experience in digital analytics, with a focus on technical implementation and strategy
Proven experience implementing Google Analytics (via Google Tag Manager)
Expertise in BI tools (Tableau, Power BI, or Looker Studio)
Excellent communication and interpersonal skills, with the ability to collaborate effectively with clients and internal stakeholders
Preferred Qualifications
Experience working in an enterprise setting
Advanced SQL skills, with experience in cloud databases like Google BigQuery or Snowflake
About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology
Industries
Business Consulting and Services, IT Services and IT Consulting, and Professional Training and Coaching
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