Data Manager Responsibilities:

• Manages all client transitions and new initiatives related to data
• Manages all system changes through the change request process
• Supports the organization and execution of UAT for each production release
• Works closely with IT management team to support data transactions and acts as liaison between Operations, Business Analyst(s), IT as well as business partners
• Works to build a knowledge base that supports anticipating the impact to system and functionality overall
• Tracks program trends related to data and proactively communicate observations to management
• Assists with the development of program training documents related to dashboards/portals.
• Supports coordination of services with the specialty pharmacy, client, and hub reimbursement team
• Participates in strategic and tactical planning sessions.
• Helps team members resolve work-related issues impacted by data issues.
• Provides feedback up and down the organization (Positive and Constructive).
• Participates in client meetings.
• Identifies data and reporting related client issues; receives and triages client requests.
• Maintains positive rapport with the client.

Data Manager Skills and Abilities:

• Strong interpersonal skills and attention to detail.
• Ability to communicate effectively both orally and in writing.
• Ability to work after hours to assist with UAT testing.
• Ability to manage multiple tasks.
• Ability to build productive internal/external working relationships.
• Strong analytical skills.
• Strong organizational skills; attention to detail.
• General knowledge of reimbursement, patient assistance program, database elements and functionality, operational policies, and processes particularly distribution processes/interfaces.
• Proven ability to appropriately escalate issues to senior management.
• Strategic thinker with long term planning experience.
• Critical thinking skills, creative and innovative solutions to internal or external client needs.

Data Manager Responsibilities:

• Serving as a technical advisor on global data analysis projects that encompass a wide range of advanced topics including statistical methods, research and study design.
• Utilizing statistics and research methods commonly used in scientific, surveillance or epidemiological research to analyze, interpret and report on the public health burden of noncommunicable diseases.
• Maintaining the set data quality assurance and management standards and providing expertise on enhancement of data analysis and quality assurance of the data coordinating center.
• Providing technical support, manage and assist partners to conduct large-scale international mobile phone and household-based surveys (as needed)
• Assisting in the writing of comprehensive statistical reports that include analysis, evaluation and resolutions of noncommunicable disease prevention and control issues. 
• Collaborate with analysts and statisticians in global settings to develop joint analyses and publications.
• Collaborating internally and externally with public health experts to ensure that valid research findings are disseminated and applied to non-communicable disease prevention and control activities.
• Preparing statistical reports, graphs, charts, tables and narrative material to be used in publishing the surveys and results of studies and in giving oral and poster presentations.
• Utilizing knowledge and experience in survey methodology and statistical methods to ensure quality assurance and dissemination of survey findings.
• Providing monthly and routine reports to the tasks progress, activities etc.

Data Manager Qualifications:

• Master's Degree in computer science and/or public health or related field (biostatistics, demography, epidemiology)
• At least 4 years of public health science training and experience (required)
• Strong experience in surveillance (e.g., survey statistics, demography and epidemiology) and data management
• including scientific data analysis and report writing skills.
• Experience in primary and secondary population-based survey data analysis.
• Experience in development of sample designs and the calculations and application of sampling weights.
• Experience in survey implementation, sampling and weighting methodology, data analysis and scientific publications is desirable.
• Ability to demonstrate working knowledge of SAS, STATA, SPSS, SUDAAN, and/or other data management software.
• Strong organizational skills with an attention to detail
• Ability to manage and lead training sessions for multiple teams
• Ability to work collaboratively in a team environment and independently

Data Manager/Statistical Geneticist Roles:

• Actively lead the data analysis for a set of projects related to heart disease
• Create pipelines using existing analysis tools to process data in an automated and efficient fashion
• Design and implement computational and statistical approaches to analyze and interpret the cardiovascular data sets.
• Regularly communicate progress at project team meetings  
• Actively participate in preparation of manuscripts for publication and scholarly reports
• Share expertise, provide training, and guidance as needed.
• Participates within a team of research to foster a culture of excellence.

Data Manager/Statistical Geneticist Education and Experience:

• PhD or MD degree or equivalent Doctoral degree in Statistical Genetics, Biostatistics, or Computational Biology or related disciplines
  
• Experience with human population genetics and analysis of genotype-phenotype relationships
• Detailed knowledge of statistics
• Advanced knowledge of R, Python, PLINK
• Experience in large scale data analysis
• Able to manage multiple projects and work with multidisciplinary teams
• Ability to communicate scientific results

Data Manager Duties and Responsibilities:

• Regularly assess and clean data housed in surveillance and immunization databases to assure the completeness, timeliness and accuracy of collected information
• Enter reports of coronavirus tests, other respiratory virus testing or vaccinations into Division data repositories
• Ensure that data is transmitted to Pennsylvania and the CDC
• Communicate with clinical laboratories, testing sites to ensure they are efficiently and accurately reporting
• Resolve issues with reports in either paper/phone/fax reports or files imported electronically
• Handle the administrative aspects of enrolling laboratories into the ongoing implementation of ELR (scheduling meetings, sending correspondence, producing meeting minutes)
• Work with testing sites using point of care rapid testing to ensure results are being reported
• Extract data from databases for use by surveillance coordinators, contact tracers, and immunizations staff
• Design and perform data analysis on specific analytic projects
• Assist in the produce of the Division Annual Report and large-format presentation posters
• Provide support in compiling data for a variety of sources that demonstrates the economic

Data Manager Skills, Experience, Qualifications:

• Completion of Bachelor's degree, preferably in public health, statistics, computer science, or another health science
• Experience with data management software (MS Access, MS Excel, REDCap)
• One year of work or educational experience requiring data management and/or data analysis preferred
• Experience using SAS software or other statistical software is preferred
• Demonstrated interest in public health, epidemiology, or statistics
• Excellent communication and organizational skills, and attention to detail
• Computer skills are necessary and should include the ability to access and navigate various databases and software programs following training
• Flexibility, professionalism and the ability to manage multiple projects simultaneously are highly valued attributes
• Equally comfortable working individually and within a team environment that emphasizes interdisciplinary collaboration in a dynamic urban health department

Data Manager Roles and Responsibilities:

• Manage scientific data and collect and analyze data.
• Research and analyze sources of data.
• Prepare summaries of collected data and/or analysis of data.
• Create and maintain reports.
• Responsible for checking that codes in SCORS and MCS are accurate.
• Makes necessary changes when there are discrepancies from SCORs and MCS.
• Proactively identifies program issues and proposes ways in which to address their concerns.
• Analyzes reports for trends and gives recommendations
• Analyzes the progress of tactical issues.

Data Manager Skills, Experience, Qualifications:

• Bachelors of Science in a related field.
• Experience with data entry, collection, reporting and analysis.
• Excellent attention to detail. 
• Able to learn new software and systems with ease.
• Experience using SCORS and/or MCS preferred.
• Proficient in Microsoft Excel, Outlook, and Word.
• Provides a climate for motivation and support.
• Proven ability to appropriately escalate issues to management.
• Ability to resolve associate issues effectively and efficiently.

Data & Analytics Manager Functions:

• Lead the data architecture team, focusing on planning, coaching, and mentoring to foster growth and productivity.
• Oversee projects with a strategic approach, aligning them with business goals and ensuring efficient execution.
• Maintain strong relationships with clients, ensuring their needs are met and expectations exceeded.
•  Provide strategic and technical support for business intelligence, managing data governance, and extracting insights to identify business opportunities.
• Develop comprehensive knowledge of the firms data structures and metrics, advocating change where needed for product development
• Define and supports ETL, data, and business intelligence architectures
• Deliver data engineering strategies to build a scalable data architecture and customer feature rich dataset for IT developers and Citizen developers
• Promote an environment that encourages collaboration, team working and innovation both within the Data Services Team and across IT and other BDO teams
• Assist as a relationship manager between agreed technology partners and BDO LLP and act a point of escalation between IT and the technology partner

Data & Analytics Manager Requirements:

• At least 3-5 years’ experience of working as a Data & Analytics Manager, managing a team
• Expert knowledge of data management, data integration, and database development techniques
• Strong experience in Data Visualisation tools, such as Power BI, SSRS, R, and developing best-in-class data visualisation dashboards
• Extensive experience using Azure Data Factory, Azure Service Bus, Azure Logic Apps, Azure Function Apps, ETL pipelines, Python, Azure Log Analytics, Azure Monitor and SQL (on premise & cloud)
• Ability to determine long term directions, industry trends, and how they relate to the organizational needs

Data Manager Duties:

• Designing data migration pipeline between source and staging databases to target database
• Design and implementation of data migration programs/scripts
• Demonstrate expertise on platform-specific object data model
• Perform database release automation process and support continuous Integration & Delivery
• Use creative problem-solving to automate the collection and analysis from available data sources in order to deliver actionable output
• Participate in post-migration support, troubleshooting and answering end-user questions
• Review and analyze data, matching it with migration scenarios, and determining where there are anomalies
• Create and manage data flow diagrams and responsible for understanding the overall data ecosystem of large enterprise system

Data Manager Knowledge, Skills and Abilities:

• A minimum of 5 years’ experience in analytics, data engineering, business intelligence or related field
• A minimum of 3 years’ experience programming experience in languages like Python
• Demonstrable ability in data modeling, ETL development, and data warehousing, or similar skill
• Experience with reporting tools like Tableau, Excel or other BI packages
• A minimum of 5 years’ experience hands-on experience with data analysis tools.
• Experience in working and delivering end-to-end projects independently.
• A minimum of 5 years of hands-on experience in writing complex, optimized SQL queries across large datasets.
• Experience with enterprise tools, such as Customer Relationship Management (e.g., Salesforce), ERP and other COTS solutions
• Thinking strategically about projects and taking a proactive approach to identify and mitigate risks
• Looking at the environment (clients, partner agencies and vendors) holistically and understanding how the project will impact areas beyond the stated scope
• Taking a collaborative approach and having mutual respect among the vendor teams
• Leading teams with diverse skill sets in multiple locations, including offshore
• Bringing experience with many types of technologies and delivering out-of-the-box thinking and creative problem-solving possibilities
• Multi-vendor, multi-year project experience

Roles of Data Manager:

• Establish and manage the data masking/obfuscation service for variety of internal and 3rd party customers to ensure safe use of Centrica data in non-production systems
• Working closely with development and QA teams to cater to their test data requirements. Use of techniques like - Data Selection, Synthetic Data creation.
• Employ digital service provision and automation for providing classification, de-sensitising and compliance checking
• Ensure the successful de-sensitising of data and maintain referential integrity and consistency across environment components
• Assure and monitor compliance with the agreed controls
• Assure the use of realistic data for non-production estate meets internal policy and guidelines
• Assure that the 3rd party suppliers' approach to data provisioning across various systems conforms to Centrica standards and is always compliant against industry regulations
• Initiate and support internal and external audits to ensure their success
• Work closely with testing functions to help ensure test strategy is appropriate and fit for purpose from a data perspective
• Assure that risk assessments are carried out and relevant Risk Registers are maintained with documented mitigations and derogations around data compliance
• Attend Weekly, Monthly and Quarterly Review meetings with suppliers and take intervening action where required. Set suppliers targets for improvements
• Assure Test strategies are aligned to Test Data Management principles and Data Compliance Policy
• Create and drive a continuous improvement process across Data compliance and provision and reporting across the Centrica non-production estate
• As part of strategic focus, keep up to date with privacy development's and governance strategies for data management, and use
• Ensure Testing functions (permanent and suppliers) comply with appropriate data privacy regulations.
• Provide Leadership and direction to the QA services eco system around data usage and promote secure data handling practices across the developer community
• Engage and influence stakeholders such as Information Security, Information Architecture, Data Privacy and other support functions in order to increase awareness
• Provide leadership and direction for matters relating to data compliance risk avoidance across IS.

Qualifications of Data Manager:

• Knowledge and experience of test data tools and encryption processes is essential
• Extensive experience with Data Masking, scrambling, obfuscation, tokenising and other data de-sensitising tools and techniques
• Experience in writing Test Data Strategy encompassing any regulatory requirements
• Deep understanding of Test Data Management Principles
• Demonstrable experience in managing teams onshore and offshore
• Experience in internal & external auditing
• Knowledge of data protection legislation and regulatory requirements.
• Understanding of data administration and management functions (collection, analysis, distribution, mining, cleansing, scrubbing etc.)
• Understanding of Test Data Management principles
• Thorough understanding of DPA principles and how these maps to data obfuscation within test/development environments
• Experience in working with modern database and information system technologies (E.g. Oracle, MySQL, Microsoft SQL server).
• Knowledge and experience in writing SQL queries.
• Knowledge or experience of ETL (Extract, Transform, Load).
• Knowledge or experience of working with Cloud technologies.
• Identify and manage operational and regulatory risks, escalating as appropriate
• Develop and implement improvements to processes in pursuit of efficient and effective service delivery
• Controls focused - Applies suitable policies, procedures, and controls to manage regulatory compliance
• Excellent organisational ability and extensive analytical skill
• Strong communicator and stakeholder manager with an ability to build relationships at all levels
• Ability to prioritise, work under pressure and meet tight deadlines
• Highly motivated and proactive approach to resolve issues and suggest ideas/improvements
• Ability to engage, build and sustain relationships with internal and external stakeholders to ensure all activity delivers greatest value
• Positive attitude to developing professional knowledge, expertise and personal skills that lead to increased effectiveness
• Strong relationship builder, both internally and externally.

Data Manager Roles:

• Design, develop, test and maintain randomisation systems for clinical trials documenting each element in line with relevant SOPs using one or more systems (e.g. Sealed Envelope)
• Design, develop, test and maintain other databases (e.g. Access) to support the administration of clinical trials
• Enable accurate, complete and timely entry of all study data
• Work closely with the trial management group in contributing to the design of data collection forms
• Oversee the collection and collation of data collection forms from participating centers and ensure the input of this data onto computerised databases as needed
• Work closely with the trial manager and trial statistician to perform regular and timely data cleaning procedures, and quality controls to ensure that all trial data is accurate, complete and timely, identifying and following up any data omissions or queries, identifying potential problems and taking appropriate action
• Ensure good working relationships between NCTU and its clinical, academic and other partners and collaborators
• Prepare data for analysis as required by the statistician including coding as required (e.g. MedDRA)
• Prepare data management plans and ensure accurate and thorough documentation of all data management activities in accordance with applicable legislation and current standard operating procedures
• Assist in the preparation of data and materials for publication and/or presentation at scientific meetings or in scientific journals
• Give presentations and provide training on the effective use of data capture systems including development of trial specific user manuals
• Ensure studies are conducted in accordance with GCP and other applicable legislation for Clinical Trials, and the General Data Protection Regulation
• Ensure secure backup of all trial data
• Contribute to, and lead on, writing and reviewing of SOP’s and policy documents on data collection and management systems and processes, including the review of quality improvement and other related initiatives
• Be able to plan and organise own workload and supervise that of others when required
• Use initiative while being aware of circumstances which require the involvement of CI’s, trial statisticians and trial managers
• Work with Chief Investigators and the wider research team in planning data collection systems and data management
• Attend internal and external meetings as the expert in database and data management and develop close and effective working relationships with CI’s, PI’s, statisticians, health economists, other specialists and the trial management team
• Contribute to internal NCTU staff training regarding data collection management systems, data management, randomisation systems and related processes

Data Manager Requirements:

• High levels of literacy and numeracy
• Knowledge of good data management principles
• Evidence of ability to set up, maintain and manage an effective research data management system, which produces reports and raises queries e.g. web-based CRF
• Excellent IT skills including the use of the Microsoft Office Package
• Ability to prioritise and manage workload using your initiative as required
• Ability to make independent decisions and to work independently, alongside excellent team working skills
• Working knowledge of regulatory and governance requirements for clinical trials in the UK
• An understanding of the requirement of data protection regulations, the need for confidentiality and the ability to work to these
• Appropriately handle confidential and sensitive information
• Experience of database design
• Experience of data management, data checking, data cleaning and reporting
• Excellent organisational and administrative skills
• Knowledge and hands-on experience of statistical software (Desirable)
• Knowledge and hands-on experience of SQL programming (Desirable)
• Knowledge and hands-on experience of Clinical Data Management Systems (e.g. MACRO) (Desirable)
• Knowledge of Clinical Trial Methodology (Desirable)
• Experience of data analysis (Desirable)
• Experience of working on an interventional clinical trial (Desirable)
• Experience of working in a University or NHS environment (Desirable)
• An understanding of data collection in an NHS environment (Desirable)