Director of Analytics

2 weeks ago

Dallas, Texas, United States EmployerDirect Healthcare Full time
Director of Analytics - Data Science


The Analytics Director is a crucial role responsible for shaping and driving data-driven decision-making, implementing analytics strategies, driving innovation, and assisting in the effective management of an organization's data assets.

In this role, you will collaborate with the various business units to drive deep insights into our data sitting on a scalable infrastructure.

You will partner with business and product teams to ensure we can get predictive insights supporting the growth of our business.

Qualifications for this role will encompass a combination of education, experience, technical skills, and leadership capabilities.

For a successful candidate for this position, you must -

Collaborate with business partners to identify & solve business problems

Lead meetings, able to influence and consult both internal and external business partners as it relates to analytics

Leverage analysis skills to discern, unlock, and communicate insights out to decision makers at all levels of the business

Be comfortable with researching data questions, identify root causes, and interact closely with business users and technical resources on various data related decisions

Provide mentorship, training and development to analytics

Leverage the right tools for the right job to deliver testable, maintainable, and modern analytics platforms and related data products

Stay abreast of developments at the intersection of science, technology, and business relevant to the company and drive business innovation through analytics

Aspire to be efficient, thorough and proactive

Responsibilities and Duties

Provide consultative thought leadership on analytics and support the strategic development and execution of analytics in alignment with enterprise strategy

Consult with business areas to identify the most important data driven questions and define initiatives to drive strategic objectives

Promote the use of the latest tools and techniques for analysis to build sophisticated analytics products that power business decision making

Partner with the business leaders to craft their long-term analytics road map (people, process and technology) to achieve business goals and identified priorities

Develop an appropriate engagement model for business areas served with a particular focus on jointly identified value targets and customer satisfaction

Collaborate with leadership to ensure continued advancement of the enterprise's analytics maturity

Champion the creation and cultivation of an insights and analytics driven culture across the organization

Build relationships both within EDHC and the external analytics community to continue to attract and develop top-tier talent


Oversee the delivery of varying on-going analytics projects by others on the team and as needed serve as an individual contributor in varying directed and self-directed analyses.

Special projects as requested

Performs other duties as assigned

Requirements

:

Bachelor's degree in related field preferred. Equivalent combination of education and experience may be substituted in lieu of degree. A master's degree in engineering, analytics, data science or related field a plus.

10+ years in analytics, business intelligence, and data science with at least 2 years of experience is health care

3+ years of management experience of building and leading data analysts and data scientists. Candidate must also have experience with road mapping; headcount and capacity planning; talent acquisition; and career development

3+ years of proven hands-on experience in AI/ML, data science, and generally developing and implementing advanced analytics solutions

5+ years of experience in data warehouse and SQL; preferably with Snowflake and other Lake House platforms

5+ years of building and publishing customized interactive reports and dashboards.

4+ years of proven experience in data analysis using core data analysis tools and languages such as SQL, Python, R, and Excel

4+ years of experience with Big Data technologies including Databricks, Hadoop, and varying types of Azure Storage

2+ years of performing data engineering/ETL operations

Good understanding of business functions such as Sales, Marketing, Finance, Customer success, etc.

Knowledge of Azure related data platforms and tooling

Demonstratable data governance & data management knowledge

Demonstrate strong organization skills and detail-oriented

Ability to self-motivate and meet deadlines

Intense desire to learn

Ability to express complex technical concepts effectively, both verbally and in writing

Ability to multi-task in a fast-paced, changing environment

Ability to maintain confidentiality

Benefits:

Medical Insurance

Dental Insurance

Vision Insurance

Short & Long Term Disability

Life Insurance

401k with company match

Paid Time Off

Paid Parental Leave

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