Claims Analytics Manager leading claims analytics and overseeing reimbursement analyses at Rialtic, Inc. Mentoring a team and collaborating cross - functionally for client implementations.
About the role
- Senior Data Analyst turning complex data into actionable insights for Grainger. Leading technical projects and collaborating with researchers to enhance customer data management.
Responsibilities
- Lead data projects by applying structured processes to set objectives and deliver outcomes on schedule for strategic impact.
- Drive clear communication and secure stakeholder approval by presenting deliverables with minimal leadership guidance.
- Perform quantitative analysis using SQL or Python – find the relevant data, transform it into a useful format, and structure the results in a consumable and actionable manner.
- Identify and act on opportunities for business impact by leveraging data-driven insights and recommendations.
- Optimize processes and implement best practices to enhance team output and efficiency.
- Conduct complex technical research and present findings as a trusted SME to guide stakeholder decisions.
- Build cross-functional partnerships and provide expert analytics advice to align initiatives with business goals.
Requirements
- Minimum 4-5 years’ experience as a Data Analyst.
- Experience leading projects and obtaining approval of deliverables from stakeholders.
- Experience in SQL coding across enterprise data warehouses (e.g., Teradata, Snowflake) and writing custom scripts in Python.
- Proficiency in statistics, data visualization and analytical skills using Excel or PowerBI.
- Experience presenting analysis results, recommendations, and deliverables to stakeholders, leaders, and peers.
- Experience synthesizing ambiguous data into clear, actionable insights and simplifying concepts for non-technical audiences.
Benefits
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
- Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Analytics Business Analyst responsible for gathering and documenting business needs for analytics projects. Collaborating with data engineers and scientists to create validated dashboards and reports.
Technical Service Data Analyst focused on managing, monitoring, and analyzing data for Technogym. Driving service excellence and enhancing customer satisfaction through data - driven insights.
Senior Data Analyst at SKIMS focused on enhancing data - driven strategies for global growth. Partnering with key business functions to provide actionable insights and optimize analytics processes.
Data Analyst at ChannelTalk leveraging data to inform growth strategies through collaboration and insights. Working closely with various teams on analytics and data warehousing using tools like Hex and Tableau.
Data Analyst at SIDN Digital Thinking focusing on data analysis and strategy in a hybrid model. Collaborating with clients to enhance data - driven decision - making processes.
Data Analyst role in Analytics team for strategic transaction workstream. Producing investor - grade analytics and data outputs that inform decision - making.
Data analyst intern at Nespresso driving marketing performance and client behavior analysis. Collaborating on B2B marketing campaigns with data insights and reporting.
Data Analyst transforming raw data into actionable insights at Hyra. Collaborating with cross - functional teams to enhance operational efficiency through data analysis and reporting.
Quantitative Analytics Manager responsible for IFRS 9 Expected Credit Loss models at Snappi. Involved in regulatory reporting and data analysis in a hybrid work environment.