Reporting Analyst within our Data, Analytics, and Automation team. Software Development Life Cycle (SDLC) Oracle SQL Developer. A Data Reporting and Analytics Senior Manager, who will work to provide leadership of the data reporting and analytics team across multiple locations, enabling the transformation of healthcare data into actionable information to inform the business decisions of Healthproof's clients and Healthproof's Operations leaders. Remote in Irving, TX 75063. There are two strategies for listing certifications. and pursuit (such as knowledge of deal life-cycle, business perspective, work estimates, pricing), Lead a solution team across countries, regions, business units, etc., including third parties, Develop thought capital on AI and emerging techniques in similar areas, Deliver on various analytics-based consulting assignments as part of one team in a globally distributed staffing mode, 7-15+ years of experience in areas of data science and AI - text mining, natural language processing, machine learning, neural networks, etc, Experience with leading AI and intelligent systems plaforms decision making systems, machine learning systems, 3+ years experience with Big Data technologies such as Hadoop, Cloudera, NoSQL, Cassandra, Pig, etc, Enthusiasm in executing the end-to-end sales cycle while performing work within an account, Enthusiasm in supporting peers in designing and authoring proposals and RFPs, Confident and articulate in discussions with C-Level audience, PhD or Masters Degree in quantitative field relevant for Artificial Intelligence (Statistics, Mathematics, Computer science, or related scientific disciples), Strategic Agility: Is able to grasp key issues quickly, understand the big picture and link market insights to business issues; uses rigorous logic and methods to solve difficult problems with effective solutions; can see hidden problems - looks beyond the obvious and doesn't stop at the first answers; uses creativity and ingenuity to develop solutions to complex problems, formulate strategies and approaches which may fall outside historical norms, Technical and Business Expertise: Is knowledgeable about one or more of biosimilar issues, access and reimbursement (payer, provider and patient perspectives) issues, healthcare policy, and broader industry trends, and willing and able to quickly learn the rest. Ability to manage multiple tasks and meet demands of a fast-paced environment with changing priorities, Bring dozens of siloed data sources into one unified environment, Produce valuable market insights through in-depth analysis, Empower non-technical users to produce valuable market insights, Analyze and map web data about publicly traded companies such as credit and debit card transactions and electronic receipts from millions of consumers, Design methods to obtain valuable information through modern, large-scale technology, Big Data Research- Dig deep into large data sets of structured, semi-structured and unstructured data to identify patterns that will help the team make more informed decisions, Aggregate transaction data from ecommerce marketplaces, Data Mining and Data Manipulation to extract timely and meaningful insights, Use Business Intelligence tools and applications to identify and understand trends, Apply machine learning concepts into investment research as required, Assess data quality, identify data integrity issues, Lead analyst in developing reports for a wide variety of uses across AHCCCS, Manage and supervise 3 to 4 staff analysts in understanding report criteria, developing and testing reports in the AHCCCS Data Warehouse, and delivering reports to the requestors, Develop and keep up-to-date data definitions in the Data Warehouse Data Dictionary, Coordinate on-going training in the data warehouse for data users across the agency, Work with report requestors in developing and refining their reporting needs, Demonstrated experience with health care data analysis, Proficient in data warehouse and business intelligence tools and processes, Demonstrated familiarity with Medicare/Medicaid programs and services, Proficient in developing and executing project work plans, 2 years experience managing and supervising staff, Extensive experience with multiple types of healthcare data (medical, pharmacy, enrollment, etc. ), SAS or Matlab. Make conclusions from data for preliminary identification of risk areas on internal audit projects, Identifies appropriate data sources and elements for audit projects and provide complete understanding of data analytics results to auditors during audit engagements, Responsible for analyzing and presenting data analytics results on internal audit projects to audit management and audit staff, Analyzes business processes and controls to identify and evaluate the audit risk areas of to potentially increase efficiency of operations and provide key planning input for each engagement, Bachelors Degree required; Master's degree preferred, 2-5 years of progressively responsible experience analyzing business data, Prior experience using ACL software required, Knowledge of ERP systems including Oracle/JDE, Demonstrated ability to analyze and condition large data sets using MS Excel or Access, 4+ years of industry analytics experience with proven business impact; 1+ years in management, Ability to think and execute at multiple altitudes: from strategy and vision to execution, Interpersonal skills with demonstrated ability to influence outcomes and communicate technical content to general audiences, including ability to story tell with data, Ability to write and mentor code development in SQL and Python (or R), Experience with dashboard design and data viz tools (i.e. It's actually very simple. Understanding of business and processes is required to create and test hypothesis in the discovery phase. Experience with Tableau software is desirable, Demonstrated business savvy with strong communication skills are essential with clients, vendors and management, 5+ years related experience in Analytics and Database Marketing experience is very desirable, Degree or MBA in business/commerce, analytics, finance, computer science or engineering preferred, Previous product area or business line experience highly preferred, Bachelors in Computer Science or related area, At least 6 years of software development, architecture and solution design experience, At least 3 years of experience on Big Data Platform, Strong experience gathering requirements from the client/business and documenting them as functional requirements, Experience in identifying, managing and controlling requirement changes, process improvement, workflow, and/or evaluation of business processes, Effective in handling business user queries, Experience leading projects with responsibilities that include gathering requirements, developing business plans, Proficient with Apache Sqoop based data ingestion, Expertise in configuring and maintaining Oozie workflows, Proficient with Pig scripting, Hive queries, Expertise Python or Java programming and debugging, Expertise in HBase tables design and maintenance, Build instrumentation on big data technologies, Experience in maintaining scalable applications and performance tuning expertise is highly desired, Bachelor's in Computer Science or related area, 6+ years of software development, architecture and solution design experience, 3+ years of experience on Big Data Platform, Expertise Python programming and debugging, The Digital Analytics Team enables and empowers the Digital Channels organization with analytic insight and solutions to support planning, tactical execution and optimization of the customer experience, Additionally, through digital analytics, this role is responsible for guiding tactical execution and identifying new opportunities to drive and grow sales across aa.com and the mobile app, The Optimization team works closely with UX, Product Planning, Merchandising, Loyalty, Revenue Management, and other teams to design, implement, and measure statistical experiments, Through Optimization, this team also provides insights and recommendations based on its finding from these statistical experiments, The right candidate will thrive in a fast paced and rapidly evolving environment, work to drive innovation and continuous improvement for efficiency and sustainable growth, Manage the fire drill nature of the job and respond to immediate needs of the business from release reporting to making business critical decisions and recommendations ensuring data is properly interpreted along the way, 7+ years of experience solving complex business problems with advanced data analytics in highly customer facing digital environment, 3+ years experience in a management role overseeing coordinated delivery of Analytics with a focus on digital and travel, Proven ability to leverage data, quantitative analysis and work with advanced analytics to deliver actionable insights, guide strategic decisions and directly drive business results, Strong experience working with large data sets and web analytical tools (SAS, Adobe Analytics, Mosaic, Hadoop, etc), Significant experience in one or more of the following areas: operation analysis, statistics, planning, marketing, forecasting, sales analysis, E-Commerce, or customer research, Ability to handle multiple responsibilities or projects that have strict deadlines, with minimal amount of supervision or direction, Ability to negotiate project priorities with several internal clients, Drive, design, develop, maintain and set the vision, respective capability and services for the analytics and innovation function, Support the Office of the Chief Data Officer (CDO) in establishing the Analytics Hub, Envisioning, designing & delivering the future state for experimental analytical services, including strategies, Provide thought leadership & ensure adoption of emerging industry advancements in analytics & artificial intelligence; driving competitive advantage, particularly in relation to processing of complex business events; unstructured & semi structured data sets, Build and advocate data-fueled dashboards which enable quick insights that help our cross-functional partners improve outcomes, Partner with customers to identify and support key strategies to drive the brands strategic imperatives, with a strong focus on digital insights, actions & visual analytics, Focused on discovery of the digital insights hidden in vast, disparate amounts of data to help us make smarter decisions in Commercial organization, Ability to perform analysis with an emphasis on presenting results in a clear manner, Provide insight into leading analytical communication practices, and ultimately produce new and creative solutions that will become part of our core deliverables, Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas, Research, design, implement, and validate cutting-edge dashboards to analyze diverse sources of data to achieve targeted outcomes, Provide expertise on Tableau and Dashboard concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization, Primary interface for Digital Marketing, Tableau and other 3rd party analytics dashboard vendors, Bachelors Degree in business, economics, statistics, design, marketing or related quantitative discipline, Minimum of 5 years experience in digital, data driven dashboard designs, Strong sense of teamwork and collaboration skills, Knowledge of Tableau, Excel, Word, and PowerPoint, Possesses high level initiative, ability to multi-task, and is passionate about asking and answering questions in large datasets, Designs advanced visualizations, presentations across predictive and prescriptive analytics, Excellent communication skills (both oral and written), with the ability to communicate across multiple functions and levels, 5+ years experience in visual data design, digital, analysis and deploying the results Pharmaceutical/Biotech/Healthcare experience preferred but not necessary, Improve profitability and drive revenue through creating effective KPIs and optimization of metrics that affect them, Guide the development of key processes by supporting, prioritizing, defining, and gathering needs for the cross-functional projects; convert this data into business narratives for areas of development, Lead analytics on projects of varying sizes and complexity, including report automation, data visualization, tool implementation requirements gathering and documentation, split testing, and ad hoc analysis and data mining, Consult with digital team leaders to identify new tools and opportunities to increase business results, Drive strategy for customer acquisition and customer conversion by developing models, forecasts, and analyses that are based on previous activity and benchmark data, Interpret analytical findings and/or recommend an approach and solution(s) that are relative to the strategic objectives of the project, company, and stakeholder needs, Use advanced analytics techniques on large data sets for the purpose of delivering ad hoc analyses and insights; formulate analytics-enabled solutions in an online advertising environment, Facilitate and perform consistent and reliable data collection, utilizing primary and secondary research methods; perform analysis for testing, targeting, creative and offers, Create post campaign reporting that not only highlights results but also delivers actionable insight, opportunities for optimization, and provides a comprehensive story’, Manage and provide direction to analytics team including development of analytical skills and validation of analysis and results, Motivate, coach, organize, mentor, the data and analytics team members, Collaborate with client and strategy team to identify client analytics opportunities, Lead presentation of business analysis results and recommendations to senior management and key business stakeholders, Provides solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives, Involved in setting strategic direction to establish near term goals for area of responsibility, Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters, Has latitude in decision-making and determining objectives and approaches to critical assignments, Decisions have a lasting impact on area of responsibility with the potential to impact outside area of responsibility, Manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture, Support Go-to-Market activities for the industry value team for Health and Public Service, Minimum of 5 years experience managing asset development and data science teams, Minimum of 8 years recent experience with consulting or implementing transformational change in the healthcare industry, Minimum of 8 years delivery experience in applying advanced modeling techniques in a business environment: strong understanding of statistical concepts and predictive modeling. 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