The Data Analyst III is a critical contributor responsible for supporting operational needs and driving data-driven decision-making through advanced data analysis and cross-functional collaboration.
This role oversees the entire data lifecycle, from designing and building databases, data models, and data warehouse strategies to implementing standards and ensuring robust data integrity.
The analyst will leverage expertise in querying and scripting languages (e.g., SQL, Python, R) and visualization tools to create insightful reports, visualizations, and dashboards that deliver actionable takeaways and strategic advice to stakeholders across the company.
This is a full-time position with remote, hybrid, and on-site opportunities available.
Responsibilities include developing, implementing, and maintaining scalable and efficient data models, constructing data sets, monitoring data quality, troubleshooting database issues, collaborating with teams, conducting in-depth analyses, communicating findings, assisting in building ETL pipelines, validating and transforming raw data, creating dashboards and reports, and maintaining high-quality documentation.
Requirements:
A Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Computer Science, Engineering, Mathematics, Economics) is required.
4–6 years of professional experience in data analytics, with demonstrated experience in data modeling is necessary.
Strong SQL proficiency and hands-on experience working with relational and columnar databases (e.g., Snowflake, Redshift, BigQuery, PostgreSQL) are essential.
Experience with Python, R, or other scripting languages for data analysis and automation is required.
A proven ability to design and build robust data models that support business intelligence and analytics use cases is necessary.
Proficiency in Business Intelligence (BI) and data visualization tools such as Power BI, Tableau, or Looker is required.
Excellent communication skills, with the ability to effectively convey technical information to business stakeholders, are essential.
Preferred qualifications include familiarity with data warehousing concepts, dimensional modeling, and data pipeline frameworks, exposure to cloud data platforms (AWS, Azure, GCP), machine learning experience, and experience with extract transfer tooling, particularly Fivetran.
Benefits:
100% Covered Health Care: Employees do not pay for medical, dental, and vision insurance.
Remote Flexibility: Employees can work from home, in the office, or a combination of both.
Work/Life Balance: Employees can create a work schedule that fits their needs and local time zone.
Paid Time Off: Employees receive paid holidays, vacation, and sick time.
401k with Match: Employees can save for the future with a company-matching 401k program.
World-Class Headquarters: On-site employees can enjoy complimentary snacks and beverages and engage in games like pool, table tennis, shuffleboard, or foosball.
