Remote Data Analyst III

Job Title: Data Analyst III - Remote

Job Overview

Join our innovative team as a Data Analyst III, where your passion for transforming data into actionable insights will be pivotal in shaping our data initiatives. As a Data Solutions Architect, you will play a key role in leading projects that deliver significant business value and ensure the integrity and usability of our data solutions.

Key Responsibilities

• Spearhead the design and implementation of data solutions, ranging from basic to intricate, ensuring alignment with business requirements and technical standards.
• Collaborate closely with Data Product Management, Data Governance, and IT teams to synchronize ad hoc and point solutions with established data architecture.
• Provide expert guidance on integrating varied data domains to formulate cohesive solutions.
• Direct the technical efforts of product and scrum teams, both full-time employees and contractors, to preserve the quality of data solutions.
• Create advanced data pipelines, reports, and dashboards facilitating data-driven decision-making.
• Oversee solution assessments and work in partnership with Enterprise Data & Analytics teams to effectively deploy data visualizations and statistical analyses.
• Collaborate with IT, Data Product Owners, and other stakeholders to enhance and scale data solutions for broader application.
• Advocate for and implement approaches that promote swift business decision-making and broaden reuse opportunities.
• Contribute to the enhancement of essential data assets for enterprise-wide utilization.
  
  

Required Skills

• 5 years of experience in technology with a strong proficiency in data solutions.
• 4 years of experience leading complex technology projects and influencing organizational strategy.
• 2 years of experience focused on Data Modeling and Architecture.
• Proficiency with data visualization tools such as Power BI or Tableau.
• Strong SQL skills to query large and complex datasets.
• Familiarity with Collibra, Informatica, and Snowflake; knowledge of Python or R is advantageous.
• Experience in data profiling, statistical analysis, and data standardization techniques.
• Excellent communication and collaboration skills are essential.
  
  

Qualifications

• Bachelor's Degree in Computer Science, Engineering, Math, or a related field, or a High School diploma/GED with 10 years of relevant experience.
  
  

Career Growth Opportunities

This role offers substantial potential for professional advancement, allowing you to lead intricate technology projects and contribute to strategic organizational directions while developing your skills within a progressive environment.

Company Culture And Values

We pride ourselves on fostering a collaborative and innovative workplace that values teamwork and encourages creativity. Join us to engage with like-minded professionals and contribute to an inclusive company culture.

Compensation And Benefits

Salary is competitive and commensurate with experience, complemented by a comprehensive benefits package. Flexible in-office days, ranging from 2-5 days per week, with a hybrid work arrangement available.

Employment Type: Full-Time