Data Analyst 2 - Remote

UnitedHealth Group•Brentwood, TN

1d•Remote

About The Position

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: The data analyst will execute data pipelines, analyze transformed data to validate its completeness and gather insight to impact business decisions Additionally, the data analysis will handle ad hoc analysis request-related data surrounding medical Record retrieval to assist in determining the location of medical charts Collect, clean, and preprocess data from various sources to ensure accuracy and consistency Identify and address data quality issues, outliers, and missing values Perform exploration data analysis to uncover trends, patterns, and relationships within datasets Oversee ingestion pipelines and troubleshoots errors related to data. Resolve errors using approved data cleaning techniques Translate complex data analysis into clear and actionable insights for stakeholders Collaborate with cross-functional teams to identify opportunities for process optimization and strategic decision-making Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency, and other critical business performance metrics Develops and maintains strong relationships with all internal and external stakeholders Document analysis methodologies, assumptions, and findings for future reference and replication Requires an individual to maintain the ability to work in an environment with PHI / PII data You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

BA/BS degree and years of equivalent working experience
2+ years of experience in data analytics
2+ years of experience writing intermediate to advanced SQL (joining many tables, SQL functions, CTE’s)
Experience working with Python (Ability to read and understand Python scripts and ability to adjust scripts)
Knowledge of Data Analysis and Data Quality best practices
Excellent Verbal and written communication skills, including ability to effectively communicate with internal and external customers
Proficient in Excel (v-look ups, pivot tables)

Nice To Haves

Degree in Business Analytics or Data science
Experience working with cloud-based data engineering and analytics (e.g., AWS, Azure, Azure Data Factory, Databricks, Snowflake)
Experience working with data warehouse analysis and modelling, with the ability to read Data Flow Diagrams, Conceptual and Physical Models
Knowledge of Healthcare data including member, claims, and provider data
Knowledge of industry standards and practices related to Medical Record Retrieval
Understanding of Data Pipelines, database structures and ETL practice
Work experience with data visualization tools such as Tableau, Power BI

Responsibilities

The data analyst will execute data pipelines, analyze transformed data to validate its completeness and gather insight to impact business decisions Additionally, the data analysis will handle ad hoc analysis request-related data surrounding medical Record retrieval to assist in determining the location of medical charts
Collect, clean, and preprocess data from various sources to ensure accuracy and consistency
Identify and address data quality issues, outliers, and missing values
Perform exploration data analysis to uncover trends, patterns, and relationships within datasets
Oversee ingestion pipelines and troubleshoots errors related to data. Resolve errors using approved data cleaning techniques
Translate complex data analysis into clear and actionable insights for stakeholders
Collaborate with cross-functional teams to identify opportunities for process optimization and strategic decision-making
Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency, and other critical business performance metrics
Develops and maintains strong relationships with all internal and external stakeholders
Document analysis methodologies, assumptions, and findings for future reference and replication
Requires an individual to maintain the ability to work in an environment with PHI / PII data