DATA MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 02, 2024 - The Data Manager possesses expertise in managing and analyzing large-scale scientific data using AWS, with proficiency in data visualization and various genomic formats such as BAM and FASTQ. This position applies strong biological knowledge and programming skills in Linux, utilizing scientific languages like R and Python for data processing. This role demonstrates the ability to collaborate effectively within cross-functional teams while managing multiple priorities and continuously improving data pipelines.

Essential Hard and Soft Skills for a Standout Data Manager Resume
  • Data Governance
  • Data Modeling
  • SQL Programming
  • Data Quality Management
  • Database Management
  • Master Data Management
  • Metadata Management
  • Data Integration
  • Business Intelligence
  • Data Security
  • Communication
  • Problem-Solving
  • Leadership
  • Team Collaboration
  • Critical Thinking
  • Attention to Detail
  • Time Management
  • Adaptability
  • Decision-Making
  • Stakeholder Management

Summary of Data Manager Knowledge and Qualifications on Resume

1. BS in Data Science with 10 years of Experience

  • Experience in developing data analysis tools, conducting training or providing technical assistance related to data management and reporting systems in federally funded programs
  • Experience in working with Microsoft Office products, database management and database connections, coding languages, pivot table analyses, Power BI, Web Based Dashboard development, and reporting. 
  • Advanced technical skills utilizing Microsoft Excel (PowerPivot and PowerQuery preferred)
  • Experience in managing data analysts in support of federal programs.
  • Ability to possess Certified Data Management Professional or Certified Information Management Professional or currently possess similar certification.
  • Excellent writing and skills in presenting technical reports to non-technical people.
  • Prior experience with federal grant funding preferred
  • Ability to create and maintain process automation documentation
  • Proficient verbal and written communication skills with the ability to receive and execute instructions
  • Ability to multi-task and work under pressure to meet strict deadlines
  • Ability to work attentively with minimal supervision
  • Have interpersonal and leadership skills to effectively manage and inspire teams
  • Proficient self-starter who can identify issues and implement solutions

2. BS in Information Systems with 5 years of Experience

  • Experience organizing and distributing large scale data
  • Experience with data analytics and/or visualization tools and techniques
  • Experience using AWS for genomic data storage and analysis
  • Knowledge of biological principles, and a clear understanding of data types / formats (e.g., BAM, FASTQ) and scientific use (RNA-seq, ATAC-seq, etc.)
  • Interest and curiosity to continually improve data processing and analysis pipelines and respond to scientific needs
  • Strong experience working and programming in a Linux environment
  • Strong biological knowledge and interest, and familiarity with major biological data resources
  • Experience in working with and knowledge of relational databases (e.g. postgres, SQL) and common scientific languages such as R and/or python
  • Demonstrated ability to work collaboratively within cross-functional teams
  • Demonstrated ability to manage multiple requests and priorities

3. BS in Computer Science with 6 years of Experience

  • Knowledge of Bill of Material structures.
  • Understanding of the MRPII process and ERP systems.
  • Understanding of the Engineering Change Control (ECC) procedure
  • Strong organizational, interpersonal, analytical and communication skills
  • Knowledge or understanding of CDISC and SDTM
  • Experience with Windows and Microsoft Office products preferred
  • SAS and/or SQL exposure or experience is a plus
  • Ability to communicate effectively in English
  • Experience in producing management presentations
  • Effective time management and prioritization skills
  • Able to communicate effectively with both business stakeholders and developers
  • Analytical, strategic and problem-solving skills
  • Ability to work well in high-pressure environment and work using own initiative without close supervision yet integrate appropriately with the team and other areas within Moody's

4. BS in Business Analytics with 7 years of Experience

  • Knowledge of industry-leading data quality and data protection management practices
  • Knowledge of data governance practices, business, and technology issues related to the management of enterprise information assets and approaches related to data protection
  • Knowledge of data related to government regulatory requirements and emerging trends and issues
  • Demonstrated consulting skills, with change management concepts and strategies, including communication, culture change, and performance measurement system design
  • Internally and externally recognized subject matter expert that influences the way things are done.
  • Passion for data collection and consumption
  • Comprehensive understanding of compliance and IT auditing
  • Experienced with Data Operations Management
  • Able to lead stakeholder meetings and bring all appropriate parties to the table. 
  • Extensive experience in data management, data governance, and working with the healthcare industry.
  • Proven track record of driving change and teaching/motivating individuals to develop and implement new ways of thinking about data and how it serves
  • Bachelor's or master's in computer science, MIS, or Information Management.

5. BS in Information Technology with 6 years of Experience

  • Experience leading a technical team.
  • Experience in a management or supervisor role.
  • Strong leadership and communication skills.
  • Excellent computer literacy skills, with a good understanding of Information Technology infrastructure (networking, servers, data architecture, application architecture, databases).
  • Familiarity with data management tools and techniques.
  • Ability to visualize and communicate complex data in a simple, actionable way.
  • Excellent judgment, analytical thinking, and problem-solving skills.
  • Highly organized and able to multitask under pressure.
  • Strong collaboration and relationship-building skills, conflict-resolution skills, and ability to achieve results without direct reporting relationships to stakeholders.
  • Ability to work toward big-picture goals and milestones while maintaining strong attention to detail.
  • Strong sense of personal responsibility and accountability for delivering high-quality work.
  • Exposure to SQL queries and development.
  • Experience in database or application development, data architecting, data analytics, or related experience.
  • Experience with MS Office Power Platform (PowerApps, Power Automate. Power BI).

6. BS in Statistics with 5 years of Experience

  • Proficiency with SQL query writing in a relational database environment (Sybase or SQL Server). 
  • Intermediate to advanced knowledge of MS Excel (VBA)
  • Experience with Business Intelligence software like Tableau, Sisense etc. for data discovery and data visualization
  • Experience with CAD, Revit 
  • Proficient in CAFM software (Serraview preferred, Manhattan, Center Stone, etc)
  • Proficient Microsoft Office (Word, Excel, Access, and PowerPoint) skills
  • Excellent organization and documentation experience
  • Collaborative personality enabling the development of key partnerships with outside “data owners” to advance the capability and accuracy of the CAFM system
  • Anticipates, identifies, quantifies, and resolves problems in a timely and positive manner
  • Consistently meets deadlines and completes tasks as previously defined
  • Works with integrity, trust and commitment, setting an example for others
  • Solves practical problems and deals with a variety of concrete variables in situations where only limited standardization exists
  • Interprets a variety of instructions furnished in written, oral, diagram, or schedule form

7. BS in Mathematics with 7 years of Experience

  • Experience leading an MDM team across multiple data domains 
  • Experience participating in ERP or Planning system implementation projects – SAP 
  • Strong knowledge of master data management, standards, and organizations.
  • Strong knowledge and experience in data process mapping and re-engineering.
  • Strong ability to interact effectively and influence at all levels of the organization
  • Able to work independently, adapting as necessary in a change-oriented culture with multiple projects, shifting priorities, and deadlines.
  • Project management experience leading cross-functional projects
  • Strong oral and written communication skills
  • Strong business aptitude, problem-solving and troubleshooting skills
  • Experience working within an international organization, including multi-country or global implementation experience
  • Strong understanding of how data is used for reporting and transactional activities.
  • Demonstrated proficiency with MS Office Excel

8. BS in Data Engineering with 4 years of Experience

  • Data analysis experience, particularly definition and specification of data structures, database design concepts and data output options
  • Experience using clinical data management systems and tools, such as SAS (Statistical Analysis System)
  • Demonstrable experience in effective verbal and written communications and interaction with internal and external customers
  • Experience in the application of knowledge and skills in a highly organized fashion while adhering to regulatory guidelines, Standard Operating Procedures and customer expectations
  • Understanding of clinical data management processes through all phases of the clinical trial life cycle
  • Ability to maintain a high degree of confidentiality with clinical data and customer proprietary data
  • Attention to detail and data
  • Good organization, analytical and problem-solving skills
  • Ability to assist in forecasting project resourcing
  • Strong command of English language and grammar
  • Proficient in the use of computer systems, including Microsoft Office applications such as Excel, Word, PowerPoint, Project, Visio
  • Familiarity with clinical data management systems and tools such as SAS (Statistical Analysis System)
  • Familiarity with applicable regulatory guidance and rules, e.g., 21 CFR Part 11, FDA Guidance
  • Ability to identify potential out-of-scope activities to management

9. BS in Management Information Systems with 5 years of Experience

  • Ability to work with PM and the Sponsor/recipient to effectively negotiate timelines.
  • Proven track record of customer-driven interaction with external customers, including sponsors, CROs, reference labs, and any other external contact (e.g. EDC vendor).
  • Basic knowledge of reading and interpreting user requirements documents to develop a product (i.e. interpret a Data Transmission Agreement from sponsor/ recipient and create an appropriate format)General programming/logic knowledge
  • Proficiency in MS Office products (particularly Excel)
  • Exceptional time management, planning, and organizational skills
  • Proficient in presenting materials at the industry level
  • Proven ability to perform multiple tasks effectively in a stressful environment
  • Ability to build relationships with diverse groups (e.g. labs, IT, PM, Sponsor/CRO)
  • Knowledge of Electronic Data Capture (EDC) and related tools and processes, preferred
  • Knowledge of database design and database concepts, preferred
  • Good verbal and written communication skills as well as interpersonal and organizational skills

10. BS in Software Engineering with 4 years of Experience

  • 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 the 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 
  • Ability to demonstrate a working knowledge of SAS, STATA, SPSS, SUDAAN, and/or other data management software.
  • Strong organizational skills with attention to detail
  • Ability to manage and lead training sessions for multiple teams
  • Ability to work collaboratively in a team environment and independently
  • Experience within clinical data management, either in Pharma or CRO
  • Strong experience in using major EDC systems and related tools and technologies
  • Experience in leading data management studies and teams to timely delivery of quality databases that meet all regulatory requirements
  • Experience in using Viedoc EDC
  • Good working knowledge of programming languages used in data management (for example, javascript, SQL, etc.)
  • Working knowledge and experience in using CDISC standards, such as SDTM, CDASH, Controlled terminology, and define.xml

11. BS in Operations Research with 5 years of Experience

  • Experience as a Data Engineer developing data infrastructure or data content.
  • Experience with managing multiple teams (managing managers)
  • Proficient with the complexities of data pipelines, and complex distributed systems deployed at scale.
  • Great communication skills and the ability to work well cross-functionally.
  • Experience/familiarity with tech stack such as Java, Python, Hadoop, Snowflake, Kafka, Hive, Sqoop, Celery, Airflow, Kubernetes, Docker, AWS
  • Experience with Access and Excel.
  • Experience using Structured Query Language (SQL).
  • Experience in working with complex data sets.
  • Experience with SPSS, SAS, Stata, or R.
  • Experience with Qualtrics, RedCap, or another electronic data-collection platform.
  • Strong analytical and problem-solving skills
  • Taking ownership of a wide range of tasks
  • Understanding both business and IT
  • Ability to figure out how to use new software
  • Basic understanding of the Procurement/Finance context

12. BS in Engineering Management with 4 years of Experience

  • Excellent interpersonal and communication skills, including a proven ability to establish and maintain effective working relationships with individuals from different cultural and ethnic backgrounds.
  • Good organizational and problem-solving skills, with an ability to identify and resolve issues and prioritize workloads, working with minimal supervision
  • Performing in a supervisory role, managing others, and exercising independent judgment.
  • Managing database administration (DBA) activities, preferably with Oracle data warehouse platforms.
  • Demonstrated proficiency in managing mid-to-large-scale software development and Data Management projects.
  • Experience in data management for commercial LDT diagnostic product development and commercialization
  • Experience working with large datasets
  • Intermediate to advanced SQL skills
  • Familiarity with best practices of data management and governance
  • Ability to work independently and as part of a team
  • Strong communication skills
  • Experience with Python, R, Scala, or Java 
  • Experience with healthcare data (PHI) compliant with HIPAA requirements
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