[Hiring] Data Analyst Lead @Altais

Role Description

Are you looking to join a fast-growing, dynamic team? We’re a collaborative, purpose-driven group that’s passionate about transforming healthcare from the inside out. At Altais, we support one another, adapt quickly, and work with integrity as we build a better experience for physicians and their patients.

The Data Analyst Lead is an expert in developing and delivering complex healthcare, clinical, provider and financial data sets to meet the organization’s needs. This role acts as an internal consultant to the enterprise to support reporting, dashboards, data visualization and extracts while developing reporting solutions and analytical methodologies to meet current and evolving business needs. The data analyst lead is a key participant supporting the organization’s strategic aims and imperative to lead through data-driven decision making.

The lead data analyst role is a partner to multi-faceted departments providing high level business intelligence and analytics requirements of varying disciplines. Advance skills in SQL, statistical analysis, reporting cycle, project management, customer service and consultative skills are critical to the success of this position.

You will focus on:

• Technical expert in data mining and extraction using a variety of software tools and sources to include but not limited to electronic health record, eligibility, or claims data.
• Serves as an internal consultant concerning the refinement of data collection and analytic procedures used to provide business intelligence and decision support around complex challenges facing the organization.
• Collects, analyzes, interprets, and presents comparative provider, member, clinical and cost data, integrates benchmark information.
• Takes ownership of data needs to independently identify, investigate, and communicate cost and utilization patterns for inefficiencies and potential opportunities to help reduce overall total cost of care.
• Trains team members and others in particularities of data; the available tools; the solution processes and the business findings related with Enterprise Analytics efforts. Coordinates with team members to assure common practices, validation, and documentation are following company and industry standards.
• Identify, recommend, and implement process improvements to provide data as well as automate design.

Qualifications

• Bachelor’s Degree in data analytics or related field. Demonstrated coursework in systems analysis, computer science, SQL, statistics, databases, or other related areas.
• Preferred: Master’s Degree in computer science, business management, health or public administration, or related fields.
• 8+ years of experience working with data including previous experience creating a variety of reports using a Business Intelligence or Analytics tool (SSIS, SSAS, SSRS, SQL Management Studio, Cognos, Tableau, PowerBI).
• 8+ years of working knowledge and demonstrated usage of dimensional databases as source of data for reporting.
• Preferred: 8+ years working with managed care applications like GE Centricity, Epic, Cerner etc.

Requirements

• The Base Salary for this position is $89,250 - $107,100/year.
• In addition, we provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs.

Benefits

• Excellent medical, vision, and dental coverage.
• 401k savings plan with a company match.
• Flexible time off and 9 Paid Holidays.

Company Description

Altais is on a mission to improve the healthcare experience for everyone—starting with the people who deliver it. We believe physicians should spend more time with patients and less time on administrative tasks. Through smarter technology, purpose-built tools, and a team-based model of care, we help doctors do what they do best: care for people.

Altais includes a network of physician-led organizations across California, including Brown & Toland Physicians, Altais Medical Group Riverside, and Family Care Specialists. Together, we’re building a stronger, more connected healthcare system.