Data Analyst 3 - SQL, ETL, Excel, Python

TieTalent; California City (CA); Remote; USD 71,000 - 110,000; Full time

Job summary

A leading company is seeking a Data Analyst with expertise in SQL, ETL, and data management for a contract-to-hire opportunity. The role requires strong analytical skills and experience collaborating with various stakeholders, focused on improving operational efficiency through data-driven insights. This position is fully remote and requires the ability to present actionable insights to senior leadership.

Qualifications

• Strong SQL Skills required for data extraction and manipulation.
• Experience in managing data from multiple sources emphasized.
• Ability to communicate insights to C-Suite and stakeholders is essential.

Responsibilities

• Collecting and preparing data for analysis.
• Cleaning and transforming raw data for usability.
• Building dashboards and visualizations for reporting.

Skills

SQL

ETL

Data Management

Python

Collaboration

Communication

Education

Bachelor in math, statistics, information systems, or related field

Master in math, statistics, information systems, or related field

Tools

Power BI

Teradata

Oracle

Job description

Data Analyst 3 - SQL, ETL, Excel, Python

Data Analyst 3 - SQL, ETL, Excel, Python

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About

We have a contract to hire opportunity for a data analyst experienced in SQL, ETL (from multiple data sources), data management, and C-Suite communication(s). 100% Remote.

About

We have a contract to hire opportunity for a data analyst experienced in SQL, ETL (from multiple data sources), data management, and C-Suite communication(s). 100% Remote.

Responsibilities

• Data Collection and preparation
• Extracting data from claims, enrollment, encounter, and payment systems
• Cleaning and transforming raw data to ensure accuracy and usability
• Integrating data from multiple source
• Claims and Encounter Analytics
• Monitoring encounter data for patterns in operational inefficiencies and risk adjustment value
• Analyzing encounter data to ensure compliance with state and federal guidelines
• Measuring provider performance based on metrics like utilization, timeliness, reject rate, and quality of care
• Reporting and Visualization
• Building dashboards and reports for leadership and stakeholders using Power BI (e.g. Claims trends, patient outcomes, operational efficiency)
• Presenting actionable insights to drive strategy or policy division
• Ensuring reports align with regulatory requirements
• Direct Payment Compliance and Liability Assessments
• Provide reconciliation reporting to stakeholders and payment recipients
• Prepare data submissions for regulatory agencies (DHCS)
• Ensure encounter and claims data meet reporting deadlines and quality thresholds
• Staying updated on policy changes and understanding their impact on programs
• Cross-Functional Collaboration
• Working with IT to optimize data pipelines and systems
• Partnering with Provider Engagement teams to evaluate the effectiveness of reporting
• Identifying Opportunities for Improvement
• Analyzing member and provider data to identify gaps in care or submission quality
• Recommending operational improvements based on data-driven insights
• Testing and validating new analytics tools or methods
• Ad Hoc Analysis
• Answering data requests from stakeholders within organization
• Investigating anomalies in encounter submissions and escalating or resolving discrepancies
• Staying Up-to-Date
• Keeping current with industry trends, new tools, and best practices in healthcare analytics
• Learning about legislative changes that impact health insurance analytics
  
  

What previous job titles or background work will in this role?

• Data Analyst, Business Systems Analyst, Business Intelligence Analyst, Healthcare Analyst
  
  

Any future projected positions potentially coming up?NO If yes, note: Internal/External Groups with which the Candidate will interface: Required Skills/Experience: Preferred Skills/ Experience: 1. Strong SQL Skills 1. SAS ENTERPRISE GUIDE 2. Extract, Transform, Load data from multiple data sources 2. TERADATA, ORACLE, SNOWFLAKE SQL 3. Data Management 3. PYTHON (DATA WRANGLING & MANAGEMENT) 4. COLLABORATIVE, INTERPERSONAL, ORAL, AND WRITTEN COMMUNICATION 4. ABILITY TO CREATE TECHNICAL AND BUSINESS PROCESS WORKFLOW DIAGRAMS 5. ABILITY TO WORK WELL WITH MULTIPLE INTERNAL AND EXTERNAL PARTNERS, AS WELL AS WORK INDEPENDENTLY 5. Education Requirement: Bachelor in math, statistics, information systems, computer science, or related field. Education Preferred: Master in math, statistics, information systems, computer science, or related field. Software Skills Required: SQL, Excel, Python Required Certifications: None Required Testing: SQL No fields configured

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Nice-to-have skills

• SQL
• ETL
• Data Management
• Power BI
• Teradata
• Oracle
• Python
• California City, California
  
  

Work experience

• Data Analyst
  
  

Languages

• English

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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