Lead Business Intelligence Analyst
3 weeks ago
As a key member of the Analytics Team at Memorial Hermann Health System, the Lead Technical Business Intelligence Analyst plays a crucial role in providing technical expertise in one or more analytics toolsets to support the creation of information-based, business intelligence deliverables. These deliverables are relied upon by organizational leaders to support critical business decisions. The Lead Technical BI Analyst will work with customers from clinical, administrative, and 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, and develop new and enhance existing metrics to analyze ongoing performance metrics.
Key Responsibilities
- 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.
- 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.
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, credentials/certification strongly preferred, as specified for position's needs: Database and Query Languages – CCL, SQL, Nomad, Oracle, Vertica, Snowflake; Visualization tools – Tableau (preferred), Spotfire, Sisense, Qlik or Microsoft PowerBI; Data Visualization Server Administration tools – Tableau Core and Data Management Server; 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.
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