Analytics Architect | USA

Photon•Chicago, IL

1d•$48,000 - $168,000•Onsite

About The Position

We are seeking a strategic and results-driven Analytics Architect to oversee and advance our data analytics initiatives. The role involves managing a team of data analysts, developing data strategies, and providing actionable insights to drive business performance and decision-making. The ideal candidate is highly analytical, an excellent communicator, and possesses strong leadership skills.

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
Proven experience (5+ years) in analytics, business intelligence, or a related domain.
Proficiency in analytics tools like Power BI, Tableau, or Looker.
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 GA4, Google Tag Manager & Optimizely.
Excellent problem-solving and critical-thinking skills.
Strong communication and interpersonal skills to interact with stakeholders at all levels.

Nice To Haves

Prior experience in managing or leading teams is preferred.
Certification in data analytics or relevant areas (e.g., Google Data Analytics, Microsoft Certified Data Analyst).

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 to uncover trends, opportunities, and potential risks.
Provide actionable recommendations to stakeholders across departments.
Oversee the selection, implementation, and maintenance of analytics tools and technologies.
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.