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Director of Analytics - Dallas, United States - EmployerDirect Healthcare
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Description
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.
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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