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Optum Data Analytics Jobs in California (NOW HIRING)

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Optum Data Analytics information

Is a data analyst a high paid job?

Data analysts, including roles in organizations like Optum Data Analytics, typically earn competitive salaries that vary by experience, location, and industry. In healthcare and analytics sectors, salaries tend to be higher for those with advanced skills in tools like SQL, Excel, and data visualization, as well as relevant certifications. Overall, data analysis is considered a well-paying profession with growth potential.

How does an Optum Data Analytics professional typically collaborate with cross-functional teams to drive data-driven decision making?

As an Optum Data Analytics professional, you'll often work closely with clinical, operational, and IT teams to gather requirements, interpret data needs, and translate business questions into actionable analytical solutions. Collaboration usually involves regular meetings, joint problem-solving sessions, and presenting findings to both technical and non-technical stakeholders. This teamwork ensures that analytics initiatives align with organizational goals and result in practical, data-backed improvements in healthcare delivery. Strong communication and the ability to explain complex data concepts clearly are key to successful collaboration in this role.

What is the salary of data analyst in Optum?

The average salary for a data analyst at Optum typically ranges from $60,000 to $80,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Benefits often include health insurance, retirement plans, and opportunities for professional development.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a key role in interpreting complex health data, and while AI tools can automate routine tasks like data processing and reporting, they are unlikely to fully replace analysts. Instead, AI is expected to augment their work, requiring analysts to develop skills in data management, interpretation, and tool usage to stay relevant.

What is the difference between Optum Data Analytics vs Optum Data Analyst?

AspectOptum Data AnalyticsOptum Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; experience with analytics toolsBachelor's degree in similar fields; proficiency in data analysis software
Work EnvironmentHealthcare and insurance settings, collaborative teamsHealthcare data teams, reporting and analysis tasks
Employer & Industry UsageUsed across healthcare analytics projects within OptumCommonly employed in healthcare organizations for data reporting

Optum Data Analytics involves advanced analysis, modeling, and strategic insights, often requiring specialized skills. In contrast, Optum Data Analysts focus on data reporting, cleaning, and basic analysis. Both roles are integral to healthcare data management but differ in scope and complexity.

What are the key skills and qualifications needed to thrive as a Data Analyst at Optum, and why are they important?

To thrive as a Data Analyst at Optum, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analytics tools like SQL, Python, Tableau, and experience with healthcare data systems such as EPIC or SAS are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for translating complex data into actionable insights. These skills are essential for driving data-informed decision-making and improving healthcare outcomes in a complex, data-rich environment.

Is it easy to get into Optum?

Optum Data Analytics roles typically require relevant skills in data analysis, healthcare knowledge, and proficiency with tools like SQL and Excel. The hiring process can be competitive, often involving multiple interview rounds and assessments, but candidates with strong analytical skills and relevant experience have good chances of success.

What is Optum Data Analytics?

Optum Data Analytics refers to the use of advanced data analysis tools and techniques at Optum, a healthcare services and innovation company, to interpret complex healthcare data. Analysts in this field help organizations make data-driven decisions to improve patient outcomes, optimize costs, and enhance operational efficiency. They work with large datasets, apply statistical methods, and use technologies such as machine learning and predictive modeling. Their work supports everything from clinical research to population health management and strategic business planning.
What cities in California are hiring for Optum Data Analytics jobs? Cities in California with the most Optum Data Analytics job openings:
Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)

Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)

Syneos Health/ inVentiv Health Commercial LLC

Santa Monica, CA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Syneos Health rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd of 74 rated pharmaceutical


Job description

Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
* We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
* We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
* We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

  • Open to US, Canada, and UK only - No sponsorship available for this role.

  • This position is very heavy programming and data review for RW data analyses. Experience with commercial databases such as Optum, HealthVerity or PharmMetrics will be important. Also support for protocol and SAP review in support of the epidemiologist is critical. ICD knowledge and experience will also be important.

    Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for the epidemiologists or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity.

    Impact and Contribution

    Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.

    Minimum Requirements
  • Data Experience:
    • eHR
    • Claims Data: Optum, HealthVerity, or IQVIA PharmMetrics
      • Nice to have: MarketScan, VA data, Medicaid, Medicare
  • Programming Language: SAS or R, Must have SQL experience.
  • Programmatic Cohort derivation experience
  • Index date definition
  • Modeling/Programming
    • GLM
    • Logistic
    • Cox
    • Propensity Score Matching
    • Incidence computation
  • Prepare data specs and develop a strong understanding of study protocols.
  • Review data and program outputs against protocol requirements, flagging issues or questions, and escalating as appropriate.
  • Ability to address messy data
    • Identify issues and possible solutions
  • Understand follow up period and impact
  • Use of ICD or other related clinical terminology
  • Ability to address messy data
    • Identify issues and possible solutions
  • OMOP CDM understanding
    • Transform healthcare data into a common format
  • Use of AI/ML for LLM and workflow and scaffolding is ideal.
  • Nice to have:
    • AI/ML modeling.
    • Github experience and versioning.
  • Uses R, SAS, Python or other software to develop custom programming code to generate summary tables, data listings, graphs and derived RW datasets as specified in the statistical analysis plan and programming specifications.
  • Development of programming specifications.
  • Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other Programmers, Biostatisticians, Epidemiologists and other project team members to resolve discrepancies or any findings. Keeps project team members informed of programming progress and issues requiring their attention. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH).
  • Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness.
  • Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework.
  • Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for opinions of others.
  • Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted.
  • Reviews and provide input on project documentation such as Statistical Analysis Plan, mock shells, programming specifications, and RW database structure. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities.
  • Participates in sponsor meetings, kickoff meetings etc., as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Transfers deliverables. Performs other work-related duties as assigned.
  • Minimal travel may be required.
  • Qualifications:

  • Undergraduate or master's degree, preferably in a scientific or statistical discipline such as biostatistics, mathematics or epidemiology.
  • Extensive programming experience in SAS, R, python or other required software, in a RW environment.
  • Excellent written and verbal communication skills.
  • Ability to read, write, speak and understand English.

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

$80,600.00 - $145,000.00

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos Health


Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information


Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.


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