Analystics Architect

Analytics Architect

Location: Atlanta, GA

Job Type: Contract/ Full-time

About Us:

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out

Key Responsibilities:

• Define and implement the organization's data analytics strategy aligned with business goals.
• Identify and prioritize key analytics projects to optimize decision-making and performance.
• Lead, mentor, and manage a team of analysts and data professionals.
• Foster a collaborative and innovative team environment.
• Conduct advanced data analysis using Big Query and other tools to uncover trends, opportunities, and potential risks.
• Provide actionable recommendations to stakeholders across departments.
• Oversee the selection, implementation, with a focus on GA4, Big Query, and Looker.
• Ensure data systems are scalable and optimized for business needs.
• Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
• Present findings and insights in a clear and impactful manner to non-technical stakeholders.
• Establish and enforce data governance policies and practices.
• Ensure compliance with data security and privacy regulations.

Qualifications:

• Education:
  
  Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• Experience:
  
  Proven experience (5 years) in analytics, business intelligence, or a related domain. Prior experience in managing or leading teams is preferred.
• Technical
  
  Skills:
  
  Expertise in Google Big Query, GA4, and Looker dashboards (mandatory). Strong knowledge of SQL, Python, R, or other data analysis/programming languages. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). Experience with Google Tag Manager and A/B testing tools.

Soft Skills:

• Excellent problem-solving and critical-thinking skills.
• Strong communication and interpersonal skills to interact with stakeholders at all levels.

Preferred

Certifications:

• Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification.

Seniority Level: Mid-Senior level