Dir, Data Analytics

Pacific Dental Services•Irvine, CA

39d•$169,000 - $227,000

About The Position

Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today! The Director, Data Analytics provides strategic leadership and vision for the organization's data analytics function. This role is responsible for developing and executing a comprehensive data analytics strategy that drives business solutions, optimizes performance, and fosters data-driven decision-making across the enterprise. The Director will set corporate strategy, guide the company on leveraging advanced analytical techniques, machine learning, and data visualization to extract actionable insights from complex datasets. This leader collaborates extensively with stakeholders, champions the use of data to identify opportunities for optimization and innovation, and ensures the analytics function directly contributes to achieving organizational objectives.

Requirements

Bachelor's degree in quantitative discipline, Mathematics, Statistics, Computer Science, Finance, Economics or related field of study from an accredited college or university. In lieu of degree, 5+ years of experience in related field.
10+ years of experience in data modeling, business intelligence, analytics and/or reporting with at least 6+ years of leadership experience, healthcare or an adjacent industry.
Demonstrated strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Strong experience using a variety of data mining/data analysis methods, data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Technical Proficiency: Strong skills in programming languages like Python, R, and structured query languages (SQL) to manipulate data and draw insights from large data sets.
Statistical Knowledge: Expertise in statistical methods and data analysis techniques (properties of distributions, statistical tests and proper usage, etc.).
Machine Learning: Experience with machine learning algorithms and frameworks.
Data Visualization: Ability to create compelling data visualizations using tools like Excel, Tableau or Power BI
Communication: Demonstrated excellent written and verbal communication skills, including an ability to present findings to non-technical stakeholders.
Organized: Ability to plan, track, document, and prioritize concurrent analytical projects.
Ability to maintain extreme confidentiality with team member records, compensation information, etc.
Strong problem-solving skills with an emphasis on model development.
Experience working with and improving data architectures that facilitate the analytical and model building processes.
Experience using a variety of types of machine learning algorithms: supervised machine learning, unsupervised machine learning, and reinforcement learning, and their real-world advantages/drawbacks.
A drive to learn and master new technologies and techniques.
Proven ability to drive business results with data-based insights.

Nice To Haves

Master's degree in quantitative discipline, Mathematics, Statistics, Computer Science, Finance, Economics or related field of study from an accredited college or university.
Demonstrated analytical experience with Epic Clarity & Cosmos

Responsibilities

Develop and articulate a comprehensive data analytics strategy and roadmap for the department, aligning with overall organizational goals and objectives, and securing executive approval for strategic initiatives.
Create the vision and strategy for leveraging data and advanced analytics technologies, and effectively communicate this strategy to business and technical leadership.
Champion the company's core values ('PDS We Believes') within the Data Analytics department, fostering a culture of collaboration, innovation, and continuous improvement.
Oversee and be accountable for all assigned data analytics projects and initiatives within the organizational unit, ensuring alignment with strategic priorities and timely delivery.
Lead the resolution of critical and complex technical or operational problems within the data analytics domain, leveraging deep expertise and strategic thinking.
Identify and manage risks and issues across data analytics programs and processes, establishing practices to evaluate and improve opportunities and the overall quality of analytical outputs.
Operate with a high degree of autonomy, receiving assignments in objective-oriented terms and being accountable for achieving strategic outcomes rather than specific tasks.
Establish, implement, and enforce operating policies and procedures for the data analytics function, ensuring alignment with organizational goals and company policy.
Coordinate with different functional teams to implement analytical models and monitor their outcomes, ensuring business value realization.
Other duties and responsibilities as assigned.