
Data Analyst
Sure
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
ApacheGoNode.jsPySparkPythonRubySparkSQLTableau
About the role
- Create and maintain reports that are accurate and high quality at all times
- Anticipate data accuracy and availability issues, and solve in advance
- Work collaboratively with product and engineering stakeholders to design, test, and configure reporting
- Oversee and analyze outgoing reports to partners, and build solutions for clients to consume data
- Promote and maintain a healthy and collaborative culture across the team and organization
- Partner closely with Program Delivery Product Managers to gather partner data requirements, guide format and delivery method selection, and translate business needs into technical specifications
- Serve as the primary subject matter expert for Sure's standard partner data package, report structures, data dictionaries, delivery cadences, and security protocols
- Monitor data delivery jobs, perform data quality audits and validation, and coordinate with Data Engineering and Grapefruit Engineering teams to troubleshoot issues and optimize data pipelines
- Maintain comprehensive documentation of all partner data configurations, delivery schedules, technical requirements, and continuously improve data delivery processes to enhance reliability and partner satisfaction
- Support custom reporting requests by evaluating feasibility and coordinating implementation while proactively communicating data delivery status, issues, and risks to stakeholders
Requirements
- Degree in Mathematics, Economics, Finance, Accounting or Computer Science
- Experience performing statistical analysis
- Strong proficiency with SQL for data querying, validation, and analysis is required
- Experience in data analytics, business intelligence, or data operations (SaaS/B2B experience preferred)
- Experience with Apache Spark, ideally PySpark is a plus
- Programming experience with a programming language, such as Python, Ruby, Go, or Node is a plus
- Experience with Databricks is a plus
- Experience working with data visualization and reporting tools such as Looker, Tableau, or Metabase.
- Self-starter attitude and able to work independently as well as in a team environment.
- Proven track record of managing multiple data deliverables simultaneously with competing priorities
- Exceptional attention to detail and commitment to data accuracy and quality
- Excellent English communication skills, verbal and written.
Benefits
- Unlimited PTO… no really, we want you to take it!
- Mental Health Breaks - company provided meditation app and a weekly wellness hour
- WFH stipend to help you work your best while being remote
- Countless Medical, Dental and Vision plans … we are an insurtech company after all!
- Equity and 401K
- Generous parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLstatistical analysisdata analyticsbusiness intelligencedata operationsApache SparkPySparkPythonRubydata visualization
Soft skills
self-starterindependent workteam collaborationattention to detaildata accuracycommunication skillsmanaging multiple deliverablesproblem-solvingstakeholder communicationcommitment to quality