Lead Technical Business Intelligence Analyst

Memorial Hermann - Houston, TX

Full-time - Senior

Houston, TX

Hospitals

About the position

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team. As an integral member of the Analytics Team, the Lead Technical Business Intelligence (BI) Analyst is responsible for individually contributing to and leading teams in the provision of technical expertise in one or more analytics toolsets to support the creation of information-based, business intelligence deliverables that will be relied upon by organizational leaders to support critical business decisions. The Lead Technical BI Analyst will work with customers from clinical, administrative and/or operational areas across the System to provide analytical tools that drive insights, complex data extracts and data integration, reports and/or advanced dashboard visualizations to facilitate discovery of insights, new opportunities, support data-informed decision-making for identified challenges as well as develop new and enhance existing metrics to analyze ongoing performance metrics. This position may be tasked to become competent in specific business areas or functional units to support transformation of data and information into actionable insights that answer complex business questions. The Lead Technical BI Analyst will lead initiatives to work with customers and Analytics Team members to understand and define the problems being solved, procure and integrate the disparate data sources necessary to analyze the needs appropriately, deliver relevant analytics tools to meet customer's objectives and implement and support the solutions for ongoing utilization. This role will also troubleshoot complex technical problems and serve in a lead technical advisory role to other BI, Specialized and Technical BI Analysts as well as others across the System's Analytics Community. The Lead Technical BI Analyst may also be responsible for projects to analyze and integrate disparate data sources to ETL into an EDW either through a direct integration or through a normalization process.

Responsibilities

• Lead, advise and support fellow members of the Analytics Team as well as individual analytics efforts across the System through expertise with technical business intelligence tools, concepts, processes and techniques.
• Serve as expert-level, technical advisor and mentor to others offering high level support, mentorship, education and training.
• Ongoing interactions with subject matter domain experts within the organization to enhance knowledge of business, clinical and administrative processes and applications utilized by the various clients.
• Lead projects to partner with respective customers to design, develop and implement high level analytic tools that support actionable insights across operational, strategic and tactical metrics for optimization.
• Lead coordinated initiatives and partner with the greater Analytics team to evolve Memorial Hermann's Analytics Maturity Level to incorporate the full analytics spectrum of descriptive, diagnostic, predictive and prescriptive analytics.
• Facilitate efforts and initiatives with the greater Analytics Team to develop the data architecture strategy, implementation plan and customer-delivered toolset.
• Active participation in and support of the Memorial Hermann Data Governance Program.
• Perform regular and ad-hoc user-friendly reports and visualizations for executive and client review.
• Proactive, continuous improvement of analytics services and operations through processes to detect and resolve data anomalies in a timely manner as well as keeping knowledgeable of and championing the implementation of emerging technologies and techniques to better analyze, distribute and integrate information.
• Provide support from data model, quality, integrity, validity analysis through resolution to correct deficiencies within analytic, reporting and visualization applications.
• Continually further analytics knowledge and technical skill set through various channels to ensure MHHS remains on the cutting edge of the Healthcare Analytics industry through implementation and integration of emerging technologies and practices.
• Lead member of project teams accountable for developing curriculum and training new analytic professionals to meet the established standard.
• Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
• Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
• Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences.
• Models Memorial Hermann's service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.

Requirements

• Bachelor's degree, preferably in computer science, management information systems, data science, business administration, statistics, or related field or equivalent experience required.
• Master's degree strongly preferred.
• Technical certifications in relevant application(s) strongly preferred (i.e., Tableau).
• Associate Certified Analytics Professional (aCAP) or another vendor-neutral analytics certification preferred.
• Expert proficiency with one or more of the following tools required: Database and Query Languages - CCL, SQL, Nomad, Oracle, Vertica, Snowflake; Visualization tools - Tableau (preferred), Spotfire, Sisense, Qlik or Microsoft PowerBI; Data Prep/Transformation tools - Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, Talend; Statistical tools - R, SAS, SPSS, Matlab, Minitab; Data Science tools - R, Python, SAS, dataiku, DataRobot, Cnvrg, Anaconda.
• Proficiency with MS Office Suite: Excel (Pivot tables, VBA, Macros), Word, PowerPoint, Visio, Access, required.
• Minimum of 7 years professional experience collaborating with customers on the design, creation and execution of analytics deliverables.
• Minimum of 7 years professional experience in building self-service analytic reports, dashboards and/or tools supporting decision-making and actionable metric monitoring by customers.
• Ability to lead projects and teams independently to deliver results.
• Demonstrated experience and successful results from working in a dynamic, matrixed organization with executive exposure and engagement.
• Demonstrated critical thinking and expert creative problem-solving skills with aptitude to exert influence without authority through interpreting requirements and guiding customers to the desired analytics outcomes.
• Analytic mindset able to draw conclusions from raw data and summarize results efficiently using logic and reasoning to identify approaches to problems both individually and advising/mentoring others in successful development of the skill.
• Ability to visualize data in a meaningful way to communicate effectively the meaning and the necessary action to be taken.
• Act with an intellectual curiosity to obtain insights from data and search for solutions to the problems being explored as well as new ones to be discovered.
• Understand math and statistical concepts to provide analysis to formulate meaningful decisions.
• Exceptional time management skills and attention to detail.
• Excellent written and verbal communication skills, specifically with an ability to communicate effectively across multiple management levels.
• Proven ability to work independently and in a leadership capacity of a team under established deadlines to drive critical outcomes.
• Create a positive work environment that fosters successful team performance.
• Strong customer service, interpersonal and relationship-building skills.

Nice-to-haves

• Experience with advanced analytics techniques such as predictive modeling and machine learning.
• Familiarity with healthcare data and analytics.
• Experience in leading cross-functional teams.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k)
• Paid time off
• Professional development assistance
• Flexible scheduling
• Employee assistance program
• Tuition reimbursement