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Data Analyst

TalentHopUnited States
Remote · San Antonio, TXMid-Senior Level

Skills

  • SQL
  • LOOKER
  • LOOKML
  • GA4
  • A/B TESTING
  • DATA ANALYSIS
  • DATA QUALITY
  • DASHBOARDS
  • SEMANTIC LAYER
  • QUERY OPTIMIZATION

About the role

This is a Fully Remote Job


About Our Client:

The organization operates within the data analytics and business intelligence sector, addressing challenges related to deriving actionable insights from complex datasets to support various internal business functions such as Marketing, Product, Finance, and Account Management. It focuses on delivering accurate, scalable analytical solutions and enhancing self-service analytics capabilities for non-technical stakeholders, thereby improving decision-making across the company.


About the Opportunity:

The DATA ANALYST role is designed for a mid-level professional who independently manages smaller analytical domains and contributes to team standards while developing deeper analytical skills and stakeholder engagement. This position is responsible for delivering end-to-end analytical projects, supporting experimental design and reporting, maintaining data quality, and collaborating with technical and business teams. The role is critical in providing data-driven insights that influence business strategies and operational improvements.


Responsibilities:

  • Deliver end-to-end analytics for assigned business areas with minimal re-direction
  • Support ad-hoc analyses providing interpretive insights to stakeholders
  • Proactively identify trends, anomalies, and relevant data observations
  • Assist in A/B test support and gradually build toward independent experimental design
  • Support GA4 reporting, tracking validation, and implementation of custom dimensions and metrics
  • Design, build, and maintain Looker dashboards and Explores
  • Develop LookML components consistent with team standards
  • Identify and resolve metric definition inconsistencies in the semantic layer
  • Enhance self-service analytics capabilities to reduce request volume
  • Ensure accuracy and consistency of production dashboards amid data changes
  • Own data accuracy for dashboards and analytical outputs, escalating issues as needed
  • Write performant SQL and collaborate on query optimization and derived tables
  • Understand data pipelines to diagnose quality issues and communicate with stakeholders
  • Collaborate with Analytics Engineers on LookML and semantic layer architecture
  • Follow and contribute to coding and documentation standards
  • Participate in code reviews and provide feedback
  • Support Junior Analysts through mentorship and paired work
  • Partner with Senior Analysts, Data Engineers, and stakeholders for effective delivery
  • Utilize AI and LLM tools to enhance analytics workflows
  • Experiment with AI-assisted insight narration and anomaly detection
  • Develop familiarity with self-serve analytics agent concepts
  • Continuously develop advanced SQL, Python, statistical analysis, and cloud platform skills


Requirements:

  • Bachelor's degree in a quantitative field or equivalent experience
  • 2 to 4 years experience in data analytics or BI roles
  • Strong SQL skills including window functions and CTEs
  • Minimum 2 years hands-on experience with Looker and LookML
  • Experience with AWS or Google Cloud data warehouses (Redshift or BigQuery)
  • Proven ability to build dashboards for non-technical users
  • Working knowledge of software development practices including Git and PR reviews
  • Familiarity with agile development processes
  • Ability to translate business questions into analytical tasks
  • Clear written and verbal communication skills


Preferred:

  • Exposure to A/B testing and experimental design
  • Basic Python skills for data manipulation or automation
  • Familiarity with GA4 reporting and tracking
  • Experience with AI or LLM tools in analytics
  • Experience with Linux/OSX command line and Git
  • Understanding of ELT pipelines and cloud data infrastructure
  • Prior experience mentoring junior colleagues


Pay Range and Compensation Package:

  • The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.


Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.


Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

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