Senior 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.

The Senior Data Analyst plays a key role in delivering analytics that support healthcare quality improvement, provider engagement, and patient experience outcomes. This role works closely with business and data leaders to build the foundations for data quality and controls. The Senior Data Analyst is hands on in analysis and reporting, while also interacting with key stakeholders to shape requirements, improving data quality, and ensuring controls reflect what the field teams expect.

In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an industry leader.

Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin office and telecommuting from a home-based office in a hybrid work model.

What you will do:

Analyze and interpret business and operational data to deliver actionable insights and reporting that support informed decision making

Design, write, and optimize SQL queries to extract, transform, and validate data for accurate analytics and reporting deliverables

Monitor and evaluate data quality and performance metrics, developing reporting solutions around quality measures, controls, and experience related outcomes

Collaborate closely with non technical stakeholders to understand business needs, translate requirements into analytical outputs, and communicate findings in clear, accessible language

Partner with field and provider facing teams to deliver timely, relevant insights that guide prioritization, performance improvement, and follow up actions

You will 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 providing development for other roles you may be interested in.

What you will bring:

If you don't meet every single requirement, don't let that hold you back - we're just as excited about potential as we are about qualifications and experience, and you could be exactly who we're looking for.

Bachelor's degree in Data Engineering or a related quantitative field, or equivalent professional experience

Proven extensive experience working with complex data environments and mining large datasets, including advanced proficiency in SQL, Python, or other transferable programming languages

Demonstrated experience working with modern data technologies such as Airflow, DBT, or similar tools

Demonstrated ability to drive data driven business solutions within complex data environments

Demonstrated solid hands on experience working with and analyzing large scale datasets

Demonstrated solid working knowledge of relational databases and database design principles

Demonstrated basic familiarity with big data and cloud technologies

Proven ability to drive change and influence stakeholders at all organizational levels through technical discussions and analytical insights

Proven ability to work collaboratively and build networks within multidisciplinary environments

Demonstrated solid communication skills, with the ability to clearly and accurately convey complex information across organizational levels, with attention to detail

Demonstrated solid interpersonal, verbal, and written communication skills, with high personal initiative, accountability, and the ability to work independently

Other useful skills and experience include:

Demonstrated knowledge of Risk Adjustment, with proven experience working in healthcare or data centric roles and exposure to datasets such as member and claims data

Proven experience preparing and presenting data insights and recommendations to internal and external stakeholders

Proven experience working with big data technologies such as Snowflake and Databricks

Demonstrated understanding of data masking and data segregation methods within Snowflake, Databricks, or similar platforms

What We Offer:

Opportunities for professional development

Inclusive and supportive team culture

Key benefits: Private health insurance, wellness programs, matching pension contribution, lunch provided by the company, training opportunities, employee donations matching and others

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.

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.

#BBMEMEA