Sr Data Analyst

Posted 4 months agoViewed

💎 Seniority level: Senior, 7+ years

📍 Location: US

💸 Salary: 82852 - 106675 USD per year

🔍 Industry: Healthcare Technology

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisETLJavascriptMongoDBOracleCommunication SkillsAnalytical SkillsCollaboration

Bachelor's degree in a relevant program or equivalent preferred.
7+ years of relevant work experience; 2-3 years at Expert level preferred.
Required skills include SQL, Excel, PowerBI, MicroStrategy, SSIS, SSRS, and programming knowledge.
In-depth understanding of ETL processes and statistical methods.
Proficiency in data analysis and visualization tools like Tableau and Power BI.
Strong analytical problem-solving and critical thinking capabilities.
Excellent communication skills for explaining complex concepts.
Ability to convert business requirements into functional data models.

Analyze enterprise data warehouse and business intelligence systems.
Gather reporting requirements and translate them into data models.
Provide analytical support and formulate quality metrics for various departments.
Resolve data quality issues and recommend methods to improve data management.
Serve as the main contact for stakeholders' needs regarding data.
Work with Legal and Security to ensure data protection.
Support Development Team during the software build process.
Ensure data meets client needs for sales and pre-sales efforts.
Create dashboards and ad-hoc queries.

Posted 2 months ago

📍 United States

🧭 Full-Time

🔍 Insurtech

🏢 Company: Reserv👥 101-250💰 $20,000,000 Series A over 1 year agoConsulting Financial Services Insurance

🔧 Requirements

6-8 years of experience as an individual contributor in analytics and programming.
Proven ability to interface with high value customers.
Strong skills in building robust and performant models.
Track record of delivering high quality data analysis consistently.
Passion for building intuitive technology and eagerness to learn.
Ability to prioritize customer requirements effectively.
Willingness to take over tasks outside core competencies.

💡 Responsibilities

Work with data stack including Python (Pandas to NLTK), Postgres, Looker, ECS, Docker.
Serve as the main technical liaison between Reserv and large customers.
Ship reporting code and build ML tools to meet customer needs.
Translate the core lifecycle of a claim into structured data.
Partner with product ops to incorporate data collection into the claim lifecycle.
Communicate ideas through detailed writing.
Influence the culture and processes of the engineering team.
Encourage creativity and outside-the-box thinking.

PostgreSQLPythonSQLData AnalysisMachine LearningNLTKPandas

Posted 2 months ago