As an integral member of ArchCare’s Information Technology team, the Data Analytics Manager will lead ArchCare analytics projects and oversee data ingestion, validation, mining, and engineering work streams, as well as modeling, visualization, and client communication deliverables with teams comprising data science, big data, and visualization experts. ArchCare is looking to develop and expand the data analytics department. Until the infrastructure is in place, this is a hands on management role.
Assess, capture, and translate complex business issues and requirements into a structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for ArchCare
Lead ArchCare analytics projects and oversee data ingestion, validation, mining, and engineering work streams, as well as modeling, visualization, and client communication deliverables with teams comprising data science, big data, and visualization experts
Build analytics solutions using variety of big data technologies and analytics tools as required by the client, and create robust documentation of solutions and underlying design decisions and operating procedures
Maintain and upgrade the existing Data Warehouse.
Produce output that is in a easy to read format
Track, communicate, and manage project risks and project status
Minimum of eight years of data analytics experience
Bachelor's degree in a technical or quantitative field from an accredited college or university (master's or MBA degree is preferred) with working knowledge of topics such as statistics and cloud computing
Must be proficient in Microsoft SQL Server, MS SQL server Enterprise Manager, SQL Server Agent job maintenance and development.
Knowledge of Crystal Report development and maintenance, as well as an in-depth understanding of structure query language (SQL) is required.
Demonstrated analytics solution design and build expertise, project and team management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue models
Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people potentially including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources