DATA MANAGEMENT SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 2, 2024 - The Data Management Specialist possesses strong research capabilities essential for sourcing and evaluating data to support Environmental Report authors and Subject Matter Experts. This role requires a thorough understanding of regulatory requirements, effective communication with diverse stakeholders, and a keen attention to detail to ensure timely and accurate report development. Additionally, proficiency in advanced computing, basic XML editing, and familiarity with emerging technologies such as RPA or Python programming enhance their ability to manage complex environmental data.
Essential Hard and Soft Skills for a Standout Data Management Specialist Resume
- Data Analysis
- SQL Programming
- Database Management
- Data Modeling
- ETL Processes
- Data Warehousing
- Data Governance
- Business Intelligence Tools
- Data Quality Assurance
- Data Security
- Problem Solving
- Attention to Detail
- Communication
- Critical Thinking
- Adaptability
- Time Management
- Collaboration
- Decision Making
- Project Management
- Organizational Skills
Summary of Data Management Specialist Knowledge and Qualifications on Resume
1. BS in Data Science with 5 years of Experience
- Experience with and knowledge of DCAM, DAMA, CPG 235, and other similar industry frameworks and regulations is preferred.
- Ability to develop and articulate compelling and innovative strategies to key client stakeholders, using emerging technology to deliver business outcomes and new business models.
- Ability to build engagement and buy-in to new business strategies.
- Ability to define and develop business cases for investment in data capabilities, including the identification and quantification of business benefits.
- Ability to manage teams to deliver high-quality outcomes, whilst meeting deadlines and ensuring delivery risks are managed.
- An interest in working within complex client environments across a range of industries and sectors.
- Experience with PIM or DAM
- Experience collecting, mining, and translating data from multiple sources into actionable insights to support decision-making processes.
- Proficient digital skills, writing skills and knowledge of web technologies.
- Strong analytical and technical aptitude.
- Strong leadership skills, ability to prioritize, delegate tasks, and make sound decisions quickly while maintaining a focus on the bottom line.
- Strong negotiation skills, and ability to persuade and influence others in finding a win-win solution where possible.
- Strong interpersonal and communication skills, ability to cultivate positive relationships and communicate with clarity and diplomacy.
2. BA in Information Systems with 3 years of Experience
- Ability to read, manipulate and analyze databases in various formats
- Ability to multi-task and perform well under deadline pressures
- Advanced Excel skills (eg) data filters, data sort, pivot tables, VLOOKUP, formulae
- Knowledge of existing and emerging data management, metadata, taxonomy & ontology, standards, tools, and best practices, as well as developments in interoperability, with a focus on standards such as Dublin Core, FIBO, SPARQL, JSON, OWL, and RDF
- Knowledge of metadata management practices and related tools
- Strong coordination, project planning, implementation, and prioritization skills
- Ability to manage expectations and balance demands while maintaining team priorities
- Ability to communicate with internal and external customers to collect product-related information or address technical issues with change orders/requests.
- Ability to possess initiative, enthusiasm, intellectual curiosity, a positive attitude and ability to perform as a team player.
- Proficiency in computer applications and MS Excel (V-lookup, Pivot Tables, Formulas, Charts, etc).
- Familiarity with PLM or ERP systems such as E1 or SAP.
3. BS in Computer Science with 4 years of Experience
- Strong research skills, including the ability to find and assess websites, virtual repositories, and other data and information sources to support Environmental Report authors and Subject Matter Experts in report development
- Ability to assess information and prepare preliminary conclusions on applicability, usefulness, and potential issues for use in the Environmental Report
- Ability to review, understand, and enact requirements from regulatory requirements and guidance documents
- Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and visitors
- Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines
- Ability to attend to detail and work in a time-conscious and time-effective manner
- Knowledge of industry-wide HSE-related information and technologies as well as new regulations and trends through continuing education, conferences, and/or periodicals, and continue to develop in-depth specialization
- Advanced computer and software skills to include the use of word processing and email as well as the intermediate use of spreadsheets and electronic presentations
- Basic Extensible Markup Language (XML) editing skills
- Knowledge on Robotic process automation (RPA) or Python Programming would be good to have
- Basic knowledge of shipping, marine engines and machinery
4. BA in Business Analytics with 5 years of Experience
- Full understanding of data management practice domains and different reference models such as DAMA
- Knowledge in data management and governance policies enforcement and rolling out
- Ability to define the data ownership model and the stewardship model as part of the data governance model.
- Well understanding of data architecture viewpoints for different business models and the ability to develop each based on multiple techniques such as business analysis, DB reverse engineering
- Hands-on development-specific data architecture viewpoints (data dictionary, business glossary, data model, ERD)
- Hands-on developing data quality metrics and conducting actual data quality checks (tool-based, analytical manual)
- Excellent understanding of data management lifecycle with hands-on process development
- Proficient in SQL language and proficient in English.
- Skills in SSIS or other ETL
- Knowledge of MS Office applications specifically Excel, Power BI, and PowerApps.
- Skills in VBA or any other programming language
- Experience with using a variety of the following systems, data analysis tools such as Salesforce.com (SFDC), Oracle Eloqua, Alteryx, SQL and/or Tableau
5. BS in Data Analytics with 4 years of Experience
- Comprehensive knowledge and experience in data management practices including auditing and data clean-up.
- Excellent communication and technical skills.
- Expertise with relational database management systems.
- Comprehensive knowledge and experience with report writing and desktop reporting tools, specifically MS-SQL query building.
- Preferred knowledge of ETL tools, especially Informatica.
- Ability to quickly learn capabilities of multiple commercial applications via recorded training sessions, vendor-supplied guides, and videos along with locally-developed documentation.
- Able to effectively interact with stakeholders to derive requirements and design solutions.
- Ability to adjust to change, deal with ambiguity, surmount barriers, and demonstrate solutions focus.
- Experience or familiarity with child welfare and eWiSACWIS
- Experience with custom application service providers, such as CareManager, Avi Networks, Qwest, etc.
- Experience with project management and information tracking
- Experience with Microsoft Office products
6. BA in Information Technology with 3 years of Experience
- Experience supporting data governance and data quality initiatives, including developing and implementing data standards, policies, practices, and procedures that improved data integrity
- Experience documenting business processes, task management, and executing on client deliverables
- Experience with common data analytics and business intelligence tools, including Excel, Tableau, and Qlik
- Experience with common data programming languages, including VBA, SQL, Python, or R
- Ability to clearly communicate complex technical and business concepts to leaders and key stakeholders in non-technical roles
- Ability to quickly understand the client’s business issues and data challenges
- Ability to work collaboratively on small cross-functional teams, or across multiple projects as an SME
- Ability to obtain a security clearance
- Experience supporting data governance and data quality initiatives, including developing and implementing data standards, policies, practices, and procedures that improved data integrity
- Knowledge of advanced analytics and data science methodologies
- Experienced communicator and presenter that is able to distill complex concepts into simple terminology for audiences with varying levels of technical knowledge.
- Excellent technical understanding and delivery capabilities within a data organization.
7. BS in Management Information Systems with 5 years of Experience
- Experience working with Commvault
- Strong Linux or Windows experience
- Experience with different platforms such as KVM, Xen, VMware, Azure, AWS
- Experience with object storage solutions (Cloudian Hyperstore, NetApp StorageGRID, etc.)
- Experience with scripting or tooling like Bash, PowerShell, Python, Ansible, Chef, Puppet, Terraform, Kubernetes, etc.
- Strong PC skills including the Microsoft Office Suite, primarily Excel and Word.
- Knowledge of manufacturing and/or retail processes
- Ability to maintain a consistently high level of attention to detail
- Ability to analyze, develop, and propose strategies that will help the organization be more effective, competitive, or otherwise achieve its goals
- Experience in supporting analytical and reporting teams with data designs and data management platforms.
- Advanced knowledge in data warehouses, big data platforms, overall solution architecture, overall data management solutions
- Excellent understanding of data quality standards, data interrogation, and manipulation skills.