Job Summary: 

• Work with AgReliant Genetics Sales, Research, Production, and Administrative departments to determine Business Intelligence “profit drivers”.
• Apply analytical skills to solve real-world issues with data.
• Assist in identifying errors/omissions in the data IT provides to statistical teams throughout the company.
• Assist in organizing and cleaning up data into comprehensive datasets.
• Help identify trends in the industry with the collected data.
• Assist in maintaining a website built to prep molecular data sets for analysis in the analysis tools provided by parent companies.
• Create needed views and database tables to organize data to be mined by Tableau Business Intelligence software.
• Support any deployed software for both the IT Group and end-users.
• Create positive change in the company by working in a professional, adept manner with all employees at all levels.
• Responsible for maintaining a high level of customer service.
• Responsible for maintaining a high level of customer service and professionalism.
• Act as a role model for the Company Core Values.

Skills on Resume:

• Data Analysis (Hard Skills)
• Business Intelligence (Hard Skills)
• Data Cleaning (Hard Skills)
• Trend Analysis (Hard Skills)
• Web Development (Hard Skills)
• Database Management (Hard Skills)
• Customer Service (Soft Skills)
• Team Collaboration (Soft Skills)

Job Summary: 

• Collect and analyze information from system users to formulate the scope and objectives of the system.
• Prepare flow charts, models, and procedures and conduct feasibility studies to design possible system solutions.
• Estimate the costs of system solutions and prepare project plans to provide input into decisions about prioritizing projects and allocating IT resources.
• Prepare and maintain technical documentation to guide system users.
• Assist with the ongoing operation, maintenance, and development of the system.
• Leverage agile methodology to design and configure solutions.
• Work closely with the business to develop the required training, change management and operations process.
• Develop use cases, customer scenarios, and/or demos, and plan and coordinate testing of the newly developed or enhanced applications and provide support.
• Look for opportunities to automate business processes with technology, and may provide consultation to users in the area of automated systems.

Skills on Resume:

• System Analysis (Hard Skills)
• Process Design (Hard Skills)
• Cost Estimation (Hard Skills)
• Project Planning (Hard Skills)
• Technical Documentation (Hard Skills)
• System Maintenance (Hard Skills)
• Agile Methodology (Hard Skills)
• Change Management (Soft Skills)

Job Summary: 

• Conduct data exploration to identify areas of opportunity or risk.
• Provide data investigation, and consultation on how data quality, integrity and/or controls can be improved.
• Discover trends, draw conclusions and provide actionable recommendations.
• Build and deploy statistical and predictive models.
• Lead BI development to provide stable, high-quality, and rapid delivery of reports and dashboards that provide business value.
• Work cross-organizationally to ensure data solutions are secure, efficient, and in alignment with Data and IT Enterprise Standards.
• Work cross-organizationally to drive adoption of standard tools and improve data integrity.
• Ensure IT solutions have sound data management practices.
• Provide subject matter expertise and consultation on data aspects of new and/or changing IT solutions.
• Champion data solutions to enhance value and fill gaps.
• Automate and continuously improve core data functions such as collection, extraction, transformation, quality validation, and control.
• Collaborate with business stakeholders to ensure sound data and BI capabilities, as well as an understanding of the importance of quality data.

Skills on Resume:

• Data Exploration (Hard Skills)
• Data Quality (Hard Skills)
• Trend Analysis (Hard Skills)
• Predictive Modeling (Hard Skills)
• BI Development (Hard Skills)
• Collaboration (Soft Skills)
• Data Management (Hard Skills)
• Automation (Hard Skills)

Job Summary: 

• Build data solutions for critical strategic portfolio projects in collaboration with data product owners and engineering leads.
• Manage the development and delivery of data to new consumer-centric health informatics applications.
• Responsible for supporting MDM (Master Data Management).
• Create API enabled digital assets to be leveraged by web, mobile and internal CRM applications.
• Lead organizational activities in Scrum adoption.
• Help plan and advise Scrum implementations within the ODSD team.
• Develop data-specific artifacts to support simplified navigation of the healthcare environment.
• Lead efforts to create and deliver data/information that is personalized to each member and anticipates needs.
• Lead cross-divisional project teams in the implementation of data-driven projects for consumers, providers and accounts.

Skills on Resume:

• Data Solutions (Hard Skills)
• Health Informatics (Hard Skills)
• Master Data Management (Hard Skills)
• API Development (Hard Skills)
• Scrum Leadership (Soft Skills)
• Scrum Planning (Soft Skills)
• Data Artifacts (Hard Skills)
• Cross-Divisional Leadership (Soft Skills)

Job Summary: 

• Provide data analyst/data delivery expertise to customers.
• Provide support for operational reporting of operations and analytical data warehouse metrics.
• Lead teams to identify, recommend, and implement system enhancements to the data warehousing environment and related BCBSMA systems.
• Improve customer satisfaction and BCBSMA processing efficiencies.
• Act as liaison with other business areas to assist them in the data definitions required for successful project implementation.
• Foster an environment of openness, trust, and acceptance in dealing with all BCBSMA associates, leaders, and customers (internal and external).
• Manage the development of enterprise analytics applications supporting financial, clinical and operational reporting areas.
• Support the delivery and design of state-mandated health care data requests.
• Support the delivery and design of EDW, DAL, and ODS data solution requests.

Skills on Resume:

• Data Expertise (Hard Skills)
• Operational Reporting (Hard Skills)
• System Enhancement (Hard Skills)
• Customer Satisfaction (Soft Skills)
• Data Liaison (Soft Skills)
• Team Leadership (Soft Skills)
• Enterprise Analytics (Hard Skills)
• Health Data Solutions (Hard Skills)

Job Summary: 

• Responsible for the collection and processing of data.
• Perform TLOG processing and data reversals.
• Identify missing data in ERP systems and concessions databases.
• Perform comparisons and analyses of large amounts of data.
• Identify issues and recommendations to bring data from disparate systems into line with each other.
• Responsible for promoting data quality.
• Ensure the integrity of the data meets the agreed IT requirements.
• Organize and facilitate amendments to core data.

Skills on Resume:

• Data Collection (Hard Skills)
• TLOG Processing (Hard Skills)
• Data Analysis (Hard Skills)
• Data Comparison (Hard Skills)
• Data Integration (Hard Skills)
• Data Quality (Hard Skills)
• Data Integrity (Hard Skills)
• Problem Solving (Soft Skills)

Job Summary: 

• Maintain a version history and evidence reasons for change.
• Contribute to the improvement of current data management processes.
• Check for anomalies, keep a log of all missing data and inconsistencies and contact relevant resources for clarifications and rectifications.
• Collect data according to standard definitions and follow the data collection procedure in order to ensure validity and integrity.
• Develop and foster strong relationships with key contacts within the area of responsibility.
• Provide support with data validation and data processing.
• Enter missing data where late files have been received.
• Communicate any system setup and data mapping discrepancies to the relevant stakeholders, with supporting root cause analysis.

Skills on Resume:

• Version Control (Hard Skills)
• Data Process Improvement (Hard Skills)
• Data Anomaly Detection (Hard Skills)
• Data Collection (Hard Skills)
• Relationship Building (Soft Skills)
• Data Validation (Hard Skills)
• Data Entry (Hard Skills)
• Communication (Soft Skills)

Job Summary: 

• Help to choose the right tools for optimized data exploration, calculation, dashboarding and access.
• Ensure the data library is well-documented and comprehensive.
• Make sure data quality fosters trust in data.
• Work with each product manager to identify data needs.
• Monitor product health, product performance and opportunities.
• Conduct comprehensive data analysis and exploration of over-usage and customer impact.
• Share and discuss results with product teams, helping with better decision-making.
• Create and maintain product dashboards.
• Give strong visibility over product data across IT and business teams.

Skills on Resume:

• Tool Selection (Hard Skills)
• Data Documentation (Hard Skills)
• Data Quality (Hard Skills)
• Data Needs Identification (Hard Skills)
• Product Monitoring (Hard Skills)
• Data Exploration (Hard Skills)
• Data Sharing (Soft Skills)
• Dashboard Creation (Hard Skills)

Job Summary: 

• Assist in the development/maintenance of comprehensive processes for the prevention of issues and participate in problem determination and timely resolution of incidents, applying appropriate quality measures.
• Work with business partners to define and develop detailed business requirements.
• Perform design, development and deployment of system enhancements.
• Perform Unit and System Integration testing.
• Responsible for document system deployment plans for system implementation and code deployment.
• Respond to business and users' inquiries on business applications like Podium/Hadoop/Jenkins.
• Troubleshoot and determine root cause and resolution for application defects.
• Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding.
• Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMMLC) to complete specific development tasks for projects.
• Adhere to standard security coding practices to ensure the application is free of the most common coding vulnerabilities.
• Continuously enhance knowledge/expertise and keep current with leading-edge technologies, trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery.

Skills on Resume:

• Process Development (Hard Skills)
• Business Requirements (Hard Skills)
• System Enhancement (Hard Skills)
• Unit Testing (Hard Skills)
• Deployment Planning (Hard Skills)
• Application Support (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Problem Solving (Soft Skills)

Job Summary: 

• Partner with operational areas to define, create and deploy workflow enhancement processes.
• Develop scripting solutions, automation, or efficiency processes using tools such as VBScript, SQL, Power Automate, etc.
• Create dashboards or monitoring solutions using tools such as SharePoint, Power BI, Tableau, etc.
• Maintain a secure and robust database management system according to established security standards.
• Maintain a secure environment through Active Directory and established security policies and procedures.
• Provide technical support for critical business applications, such as ERP and Engineering systems.
• Assist in system software upgrades.
• Support new and existing information technology initiatives.

Skills on Resume:

• Workflow Enhancement (Hard Skills)
• Scripting Solutions (Hard Skills)
• Dashboard Creation (Hard Skills)
• Database Management (Hard Skills)
• Security Management (Hard Skills)
• Technical Support (Hard Skills)
• System Upgrades (Hard Skills)
• IT Support (Soft Skills)

Job Summary: 

• Create data visualizations, management dashboards, and reports to improve the data literacy of staff at all levels.
• Support the development of standardized systems for capturing, integrating, and distributing measurement across the organization that are transparent and cultivate a data-informed culture.
• Create data pathways from disparate applications to feed the data warehouse and data marts, which support all visualizations.
• Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data management tools with existing systems.
• Use of MS Power Platform technology integration with datasets and Power BI dashboards.
• Develop, implement, and maintain change control and testing processes for modifications to data models.
• Provide and apply quality assurance best practices for data analysis services across the organization.
• Create, modify and maintain data definitions for new database file/table development and/or changes to existing ones.
• Develop routines for end users to facilitate best-practice use of data management tools.
• Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets.
• Monitor data management system details within the database, including stored procedures and execution time, and implement efficiency improvements.

Skills on Resume:

• Data Visualization (Hard Skills)
• Data Management (Hard Skills)
• Data Integration (Hard Skills)
• Collaboration (Soft Skills)
• Power BI (Hard Skills)
• Change Control (Hard Skills)
• Quality Assurance (Hard Skills)
• Database Management (Hard Skills)

Job Summary: 

• Collect data using available technology systems, including sources such as SQL, Hadoop and others.
• Normalize and clean data from various data sets and sources.
• Interpret and analyze data using advanced methods while identifying and understanding trends.
• Create reports to share findings and recommendations with project teams or stakeholders.
• Create visualizations to be used by various teams or stakeholders to enable strategic decision-making.
• Document structures and types of IT and business data.
• Build relationships with business users of the data to support their requirements through effective communication.
• Recommend improvements to IT systems in order to further facilitate data collection and analysis.
• Create data models, design methods, and perform database development.
• Analyze large amounts of data using tools such as Excel, Power BI, etc.

Skills on Resume:

• Data Collection (Hard Skills)
• Data Cleaning (Hard Skills)
• Data Analysis (Hard Skills)
• Reporting (Hard Skills)
• Data Visualization (Hard Skills)
• Data Documentation (Hard Skills)
• Communication (Soft Skills)
• Database Development (Hard Skills)

Job Summary: 

• Work with the Data and Analytics Team to analyze large datasets, data quality and integrity of FSRA data (e.g, program, corporate, etc).
• Provide input to the development of data integration strategies for relational and non-relational data sources aimed at integrating qualitative and quantitative data from disparate sources across FSRA and to resolve data quality issues.
• Assist with building data models and reporting tools for various data sources and formats to support FSRA program areas with accessing, using and reporting quality data.
• Collaborate with data users to understand and document business requirements.
• Define, evaluate and recommend data and analytics solutions and identify opportunities to improve data accuracy.
• Produce insightful reports using data visualization, metrics, and patterns.
• Develop and maintain metadata repositories (BI data dictionary, reporting catalog) for use by FSRA management and staff.
• Develop data collection and management tools, protocols and guidelines.
• Support the data and information management strategy and ensure consistency in the use and access of data.
• Develop database, business intelligence and reports using Microsoft SQL Server technology or other RDBMS, Statistical software, presentation technologies and techniques.

Skills on Resume:

• Data Analysis (Hard Skills)
• Data Integration (Hard Skills)
• Data Modeling (Hard Skills)
• Business Requirements (Hard Skills)
• Data Accuracy (Hard Skills)
• Data Visualization (Hard Skills)
• Collaboration (Soft Skills)
• Problem Solving (Soft Skills)

Job Summary: 

• Create and maintain an IT Service Management reporting framework, dashboards using data visualization tools that access data in different sources (ServiceNow and/or the Enterprise Data Lake, etc.) and deliver information and insights to business partners.
• Accountable for maintaining the organization's KPI scorecard and Heatmaps.
• Accountable for end-to-end reporting of the company's IT organization’s infrastructure performance.
• Accountable for new and ad-hoc report needs on executive, financial and operational levels.
• Responsible for monitoring of IT Service quality, identifying, driving and tracking improvement activities.
• Analyze and query data using SQL to curate data sets that provide answers to challenging problems.
• Design and implement web solutions utilizing JavaScript technologies.
• Collaborate with different departments to design, test, and implement data visualization technologies.
• Translate partner needs to user stories and supporting wireframes using any UI design tools.
• Analyze, establish, and improve upon service management data visualization standards across the organization via the application of UI/UX design principles.
• Develop and share technical expertise in data visualization and data analytics tools.
• Build and promote automated reporting narratives for senior executive leadership.
• Conduct research to remain up-to-date and knowledgeable regarding industry trends and emerging methodologies in anticipation of new business processes and system alterations.

Skills on Resume:

• IT Reporting (Hard Skills)
• KPI Management (Hard Skills)
• Infrastructure Performance (Hard Skills)
• Ad-hoc Reporting (Hard Skills)
• Service Quality (Hard Skills)
• Data Querying (Hard Skills)
• Web Solutions (Hard Skills)
• Collaboration (Soft Skills)

Job Summary: 

• Import/export/transmit/receive data to/from clients, vendors, and other specified parties.
• Identify and report missing, late, corrupt, or otherwise unusable files or data and work directly with IT or management for resolution.
• Execute ad-hoc requests or remediation requirements.
• Perform account research and analysis on assigned clients while utilizing the department ticketing queue or in response to email correspondence.
• Process and validate assigned deliverables by balancing internal reports, while maintaining a high level of accuracy and attention to detail, within client-specified timeframes and guidelines.
• Research and reconcile client requests and issues that are communicated directly to the department distribution list or the department ticketing queue.
• Follow all standard operating procedures, while communicating process failures and potential improvements to the team lead or manager.
• Update version history to ensure accurate process documentation, per ERC guidelines.

Skills on Resume:

• Data Import/Export (Hard Skills)
• Issue Reporting (Hard Skills)
• Ad-hoc Requests (Hard Skills)
• Account Research (Hard Skills)
• Data Validation (Hard Skills)
• Client Communication (Soft Skills)
• Process Adherence (Soft Skills)
• Documentation Management (Hard Skills)

Job Summary: 

• Operationalize and maintain (or assist in the smooth transfer of) data governance programs and governance processes.
• Help the risk management program meet the organization’s strategic goals and comply with applicable laws and standards.
• Reduce the security-related risk to Premise Health by conducting thorough and timely reviews of large numbers of data sharing requests.
• Maintain data integrity of the information collected as part of the data governance programs.
• Operate, maintain, and mature the PCI Data Governance program.
• Lead impact assessments of stakeholders to determine PCI risks and manage the remediation efforts to reduce or eliminate identified risks.
• Leverage project management methodologies to manage remediation plans.
• Analyze data transfer technology and solutions to ensure business goals and security requirements are met.
• Involved in security authorization processes of newly acquired or developed systems, application software, devices, etc.
• Involved in aligning new product and/or line of service initiatives to deliver requirements, risk constraints, and expectations of the client market.
• Calculate security and business risks from product and line of service strategy through development.
• Present risks to management through operationalized DGP programs.
• Conduct audits and prepare reports for data governance program performance.
• Collaborate with technical teams (e.g., corporate compliance and corporate risk management) during the strategic planning and implementation of new business initiatives.
• Educate leadership, staff, and associates on procedures related to risk management, safety, security, and quality improvement.

Skills on Resume:

• Data Governance (Hard Skills)
• Risk Management (Hard Skills)
• Data Integrity (Hard Skills)
• PCI Compliance (Hard Skills)
• Project Management (Hard Skills)
• Data Security (Hard Skills)
• Collaboration (Soft Skills)
• Risk Communication (Soft Skills)

Job Summary: 

• Collaborate with Data Stewards, Data Custodians, and other stakeholders regarding open data quality exceptions/issues within Branded Cards applications.
• Identify and implement remediation, including maintaining Data Quality rules within the process.
• Provide analyst support to document and maintain end-to-end data level lineage, implementation of data controls, and documenting/maintaining technical metadata for in-scope processes and organizational objectives.
• Share accountability and responsibility with Data Custodians to ensure mapping to accurate and controlled data sources, including safe, accurate and controlled sourcing, transport, transformation, and storage of data.
• Collaborate with Data Stewards, Data Custodians, and other stakeholders to maintain Data Dictionaries.
• Responsible for coordination with data stewards, business process owners, and application data custodians to support IMR root cause analysis and remediation.
• Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects.
• Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.
• Consult with business clients to determine system functional specifications and partner with multiple management teams and other units to meet organizational objectives.
• Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
• Provide in-depth and sophisticated analyses with interpretive thinking to define problems, develop innovative solutions and influence strategic functional decisions.
• Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Skills on Resume:

• Data Quality (Hard Skills)
• Data Remediation (Hard Skills)
• Data Lineage (Hard Skills)
• Metadata Management (Hard Skills)
• Collaboration (Soft Skills)
• Risk Mitigation (Hard Skills)
• Business Analysis (Hard Skills)
• Staff Management (Soft Skills)

Job Summary: 

• Establish a deep understanding of and partnership with assigned business functions.
• Create analytical solutions by translating business needs into Tableau specs, metrics, and reports with effective visualization and drill-down tools.
• Manage and optimize processes for data intake, validation, engineering, as well as modeling, visualization and communication of deliverables.
• Use business data and statistical methods to provide insight into business performance and suggest areas and methods of improving operations.
• Manage application resolution to maintain effective dashboards (SAP, Agile, EDW, Tableau, etc.).
• Engage IT support for future business enhancements within applications (identify areas of improvement, functional spec, script testing, project management).
• Develop and distribute actionable, value-added reports supporting the Planning (Demand, Inventory and Lifecycle Mgt) Organization.
• Consolidate and analyze actual operating results for the Planning organization throughout the summer and compare them to the monthly/quarterly plan.
• Support the Planning process by providing the needed critical planning data, as well as analyzing and suggesting important trends to optimize forecast accuracy and inventory targets.
• Participate in projects that will help drive process improvements in the Planning Organization.

Skills on Resume:

• Business Partnership (Soft Skills)
• Data Analysis (Hard Skills)
• Tableau Reporting (Hard Skills)
• Process Optimization (Hard Skills)
• Statistical Analysis (Hard Skills)
• Application Management (Hard Skills)
• Report Distribution (Hard Skills)
• Process Improvement (Soft Skills)

Job Summary: 

• Work with cross-functional teams to develop actionable, high-impact data analytics solutions.
• Work with business domain, operations research, and IT professionals to identify detailed data needs and appropriate sources.
• Develop a deep understanding of data trends, identify outliers, exceptions, and data inconsistencies.
• Lead the generation of data dictionaries, data quality assurance reports, data validation decks and data summary reports.
• Identify logic for data integration, and partner with Data Engineering to develop robust and reusable data assets.
• Develop actionable insights that are both engaging and understandable.
• Develop and implement data collection systems and develop and monitor KPI’s to support the production teams to strategically steer and continuously optimize quality improvement initiatives.
• Acquire data from primary and secondary (internal and external) sources and maintain a data warehouse.
• Optimize statistical efficiency and data quality in close collaboration with the Data Scientists as well as the production teams.
• Provide data analytics as a service and be a key participant in the manufacturing problem-solving process to ensure fact-based and data-driven decision-making.

Skills on Resume:

• Data Analytics (Hard Skills)
• Data Collaboration (Soft Skills)
• Data Trend Analysis (Hard Skills)
• Data Documentation (Hard Skills)
• Data Integration (Hard Skills)
• Actionable Insights (Hard Skills)
• KPI Development (Hard Skills)
• Problem Solving (Soft Skills)