Analytics Architect

Role Description

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.

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 to uncover trends, opportunities, and potential risks.
  • Provide actionable recommendations to stakeholders across departments.
• Tool and Technology Management:
  • Oversee the selection, implementation, and maintenance of analytics tools and technologies.
  • 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:
  • 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.
• Soft Skills:
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and interpersonal skills to interact with stakeholders at all levels.
• Certifications (Preferred): Certification in data analytics or relevant areas (e.g., Google Data Analytics, Microsoft Certified Data Analyst).

Benefits

• 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

• 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.

Benefits

• 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.