Analytics Architect | USA at Photon Career Site

, , United States -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

168000.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google BigQuery, GA4, Looker Dashboards, SQL, Python, R, Data Analysis, Data Strategy, Team Leadership, Data Governance, Stakeholder Collaboration, A/B Testing, Hadoop, Spark, Cloud Platforms, Google Tag Manager

Industry

IT Services and IT Consulting

Description

We are seeking a strategic and results-driven Analytics Architect to spearhead our data analytics initiatives and deliver actionable insights that drive business performance. This role requires deep expertise in Google BigQuery, GA4 (Google Analytics 4), and Looker dashboards, along with strong leadership and communication skills. The ideal candidate will manage a team of analysts, define data strategies, and ensure our analytics ecosystem is optimized for scalability and impact. Key Responsibilities: Data Strategy Development: 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. Team Leadership: Lead, mentor, and manage a team of analysts and data professionals. Foster a collaborative and innovative team environment. Data Analysis and Insights: Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks. Provide actionable recommendations to stakeholders across departments. Tool and Technology Management: Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker Ensure data systems are scalable and optimized for business needs. Stakeholder Collaboration: 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. Data Governance: 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 BigQuery, 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 (e.g., Optimizely). Soft Skills: Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills to interact with stakeholders at all levels. Certifications (Preferred): Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification.. Why Join Us? Opportunity to make a significant impact in a growing organization. Collaborative and inclusive work culture. Access to cutting-edge tools and technologies. Competitive salary and benefits package. Compensation, Benefits and Duration Minimum Compensation: USD 48,000 Maximum Compensation: USD 168,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Responsibilities

The Analytics Architect will define and implement the organization's data analytics strategy while leading a team of analysts. They will conduct advanced data analysis to provide actionable insights and recommendations to stakeholders.