Data Analyst

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Data analyst/ engineer, People Analytics will be responsible for building and maintaining data pipelines which feed Domo/ Power BI dashboards downstream. Role will require the person to work closely with consultants to get requirements for new datasets and data enhancements and be able to build or enhance existing pipelines. Some knowledge of building dashboard in domo and Power BI would be preferred. Analyst should be able to work and excel in dynamic ever changing environment. Analyst should possess a solid working knowledge of ETLs and creating pipelines. Analysts must possess solid working knowledge of Python. Analyst must be well versed with DevOps practices and be able to work in a distributed development environment with multiple stakeholders and peers. Must possess a solid knowledge of Git. Analysts must possess a very solid understanding of data and human capital domain knowledge would be a plus.

Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks.

Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks. Generally work is self-directed and not prescribed.

Primary Responsibilities:

• Works with less structured, more complex issues
• Serves as a resource to others
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent experience in IT or Computer Science engineering or relevant streams
• 6+ years of experience working with data
• Experience building data pipelines and good working knowledge of data warehousing tools like Hadoop, Databricks and Snowflake
• Solid programming knowledge using languages like Python/R
• Solid working knowledge of DevOps principles and work well in a distributed software development environment with GitHub or equivalent
• Solid knowledge and working experience with SQL and writing complex SQL queries
• Solid analytical skills with the ability to interpret and present data effectively
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
• Expanding understanding of AI and automation
• Proven ability in building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators and people metrics as requested by stakeholders/ consultants
• Proven ability in working on data-related technical challenges while collaborating with stakeholders/ consultants including the Executive, Product, Data, and Design teams, to support their data infrastructure needs
• Proven ability in remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results
• Proven continuous improvement mindset
• Proven excellent organizational and time management skills
• Proven solid attention to detail and accuracy
• Proven effective communication and interpersonal skills
• Proven ability to work independently and as part of a team

Preferred Qualifications:

• Industry certifications in SQL and Power BI/ Domo 
• Good knowledge of HCM systems like Oracle HCM and OBIEE 
• Good expertise of data visualization tools like Domo and Power BI

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.