Data Services Job Description
Data Services Duties & Responsibilities
To write an effective data services job description, begin by listing detailed duties, responsibilities and expectations. We have included data services job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Services Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Services
List any licenses or certifications required by the position: ITIL, FIA, FISD, CCNP, CCDA, CCIE, CCNA, OEM, APS, HP
Education for Data Services
Typically a job would require a certain level of education.
Employers hiring for the data services job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Education, Engineering, Business, Management, Technical, Information Technology, Statistics, Science, Finance
Skills for Data Services
Desired skills for data services include:
Desired experience for data services includes:
Data Services Examples
Data Services Job Description
- Maintains stability sample inventory information in SQL*LIMS
- Manage content and data update submissions for the marketing materials
- Proofread and perform general Quality Control to review DFG changes coming back from the layout/update vendor
- Prospectus (Proof Plus) data update submissions and other ad hoc and scheduled report output proofreading and Quality Control
- Maintenance of information in business managed database (BMD)
- Rates Availability Checks in GDS and CRS
- CRM Tracking
- Email Communication
- Channel connect and rates processing
- Help solve a real-world business problem
- Minimum of five years of Data Center Service Management, including facility and infrastructure hosting
- Advanced Degree (Master’s/Ph.D.) in quantitative discipline (Statistics, Math, Computer Science, Engineering)
- University degree and up in Economics, Finance, Engineering, and 1 to 3 years of business related experience
- Compliance with all BMO regulatory training and ensure these programs and policies are applied consistently across the business
- 7+ years developing full lifecycle data warehouse implementations, support, and upgrades
- 4+ years of experience in multi-terabyte Data Warehouse environments
Data Services Job Description
- Identifying improvements to internal team workflows, specifically, establishing metrics and reporting to manage outcomes and creating analytical tools to improve these workflows
- Provide input to defining requirements for data reports, queries & tests required within PSS, Enterprise Master Data Management (EMDM), Procurement Teradata and Vision (Cognos interface) to ensure data quality
- Conducts in-depth analysis on spend data to identify hidden (or sometimes not so hidden) patterns of incorrect categorization by specific teams, countries, affiliates, Participates in action planning with data owners to create & implement plans to correct identified issues & align to data standards
- Collaborates & communicates with key partners to understand systems generating data and how customers (category leaders, Analytics team, Vision users & Procurement leadership) are consuming data
- Participates and may lead portions of PSS S2S data activities for regional deployments
- Ensures access for all users and testers production support teams
- Acts as an advisor in the creation of data movement processes, be them ETL, or web service based
- Translate operational problem statements into data analysis and reporting
- Provide operational dashboards that help service managers more effectively manage their business
- Propose new data models and visualization tools to more effectively spot trends and anomalies in large amounts of data
- Excellent knowledge of best practices around Data Warehousing and ETL development
- Excellent at translating business requirements into functional design specifications
- Strong data modeling skills (logical and physical)
- Good experience within agile development environments (weekly code releases)
- Experience with financial / banking / marketing data a plus
- Intermediate Relational Database knowledge (normalization, optimization)
Data Services Job Description
- Lead data quality projects to improve trust in analytics
- You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders ) on understanding business objectives, gathering requirements and delivering complete reporting solutions
- Translate Operations problem statements into data analysis projects
- Develop data models and machine learning algorithms for Agilent’s service business engagement model
- Lead data analysis projects to satisfy the needs of product marketing
- Provide management updates and status reports of business trends and anomalies
- Displays comprehensive ability to analyze, evaluate, and/or manipulate a majority of input and data content to ensure quality and compliance before going to the next production level
- Provides appropriate analysis, follow up, notification, and solutions to management related to abnormal job termination and resolution
- Special projects include but are not limited to custom reports/data development, process enhancement, product development, specialized product support for national and key accounts, providing training, or taking on a mentoring role
- Independently evaluates and documents results using reports and tools to ensure data quality
- Intermediate Object Oriented Programming knowledge (classes, inheritance)
- Current student status, 4th/5th year students preferred
- Performs straightforward current trend research and analyzes simple data to assist in drawing conclusions and providing recommendations
- Gains familiarity with role of and value of vendors to the business
- Can operate independently
- Knowledge of project management concepts and practices such as Scope, Communication, Financial and Risk Management practices, Project Lifecycle methodologies
Data Services Job Description
- Promotes a culture of continuous improvement
- Establishes and documents policies and service level expectations
- Directs marketing activities for the unit by monitoring ongoing outreach to constituencies, assessing outreach efforts, and planning for regular and targeted marketing and communication efforts to grow service use
- Manages all reporting and communications on the unit’s progress with the Associate Dean for
- Research Data Management
- Works with Associate Dean for Research Data Management on budgeting, contractual and legal matters
- Complete in all duties within assigned function
- Seeks professional growth
- Knowledge of Meter Data Services processes
- Contribute to the design of managed services solutions for the client that will be commercially competitive while managing risk
- Canadian Securities Course, US Series 7 or equivalent business exposure an asset
- Previous experience in a supplier management role with in depth knowledge of market data products, services and solutions
- Capability to function with a high degree of autonomy when required
- Bachelor’s Degree in business, finance or related field, or the equivalent in work experience
- Masters degree or PhD from an accredited college/university in Econometrics, Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
- Demonstrate expertise and solid understanding of the broad concepts in Data Warehousing, SDLC, Change Management, Issue Management, Master Data Management
Data Services Job Description
- Develops performance metrics/KPIs and reports on key services metrics
- Collects feedback from service users to identify and prioritize service improvements
- Collaborates with stakeholders to establish best practices and service consistency
- Provide a strategic plan for overall testing efforts and establish a position within the team to lead QA services
- Design tests to exercise functionality of various data services, including ETL, APIs, and predictive algorithms
- Build, execute, and analyze automated back-end tests
- Develop, build, and maintain automation frameworks and test systems
- Analyze requirements and product architecture to develop testing requirements
- Review developer code and implementations
- Participate in troubleshooting and triaging of issues to drive towards root cause identification and resolution
- Teradata expertise is a must
- Must be able to work out of our Wilmington DE location
- Bachelor or Masters degree in Business, Engineering, Computer Science, Finance, Mathematics, or Statistics
- Ideally, experience with data visualization software (SAP Lumera, Qlik, Spotfire)
- Ideally, experience working in an role focused on analytics and strategy
- Experience in statistical analysis, predictive analytics/modeling, time series analysis