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Data Analyst/ Data Steward
Pearson
Boston, MA, United States
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Description
At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.
Pearson is transitioning from traditional book publishing to more pervasive Digital Learning content and at the same time has committed to measurable Learning Outcomes for all our products by 2018.
Pearson has also embarked on a cultural change to operate more closely as One Pearson, meaning tighter business & technology integration across multiple business units. These initiatives combined with market forces highlight the need for improved Data Management and Advanced Analytics to remain the industry leader.
The Data Analyst will join the Master Data Management department to contribute to Pearson’s data transformation. You will be responsible for the functional management of the customer and product dimension at Pearson, onboarding legacy customer and product data into the MDM solution, harmonization of business rules and processes, remediation of data issues, and the establishment of policies and processes in conjunction with the business stewards at Pearson.
As a Data Analyst, you will work closely with the Business Data Stewards and IT teams profiling data sources, identifying quality metrics, guiding root cause analysis, and leading continuous improvement at Pearson.
Qualifications
Experience
• Degree in a Computer Science, Management Information Systems or similar discipline
• 3-5 years experience defining and implementing data governance best practices at the enterprise level
• 3-5 years experience with data stewardship, data quality, and data analysis
• 1-2 years experience defining and implementing data quality score cards with business outcome impacts
• Proven ability to document business requirements related to data function and rules
• Ability to document data flows and processes
• Experience working cross functionally in defining data issue root cause analysis and remediation
• Demonstrated good data management practices & ability to influence practitioners to adopt
• Experience in operating a data incident management process as a service
• Experience with writing SQL
• Proven written skills in documentation of data requirements, SOPS, and Service Agreements
• Experience with data root cause analysis and cross functional resolution of data issues
• Continuous process improvement, measurement and change adoption experience in data management
• Background collaborating on matrix team and enterprise development programs in gathering requirements and delivery of solutions
Professional Skills
• Written and communication skills to interact with matrix teams and influence outcomes
• Willingness to proactive take responsibility and action to resolve cross functional issues across organizational boundaries
• Capability to translates concepts and requirements into results on budget and timeline
• Proactive, results oriented
• Capability to prioritize in complex environment
• Ability to effectively communicate technical concepts, findings & recommendations to Senior Leadership, Line Management & Peers
• Ability to organize work into actionable plans, projects and committed time frames. Manage the effort, communicate status and mitigate risks & issues
• Strong negotiation skills
• Understanding of business outcomes and align efforts to highest value for Pearson
Desirable Skills
• Experience in the Media Industry
• Experience with industry leading tools like Informatica IDQ, IBM QualityStage, Information Analyzer and Global IDs.
• Total Quality Management (TQM), Six Sigma & Lean certifications or experience
• Agile methodology background
• Experience with Jira
• Experience in organizing and leading projects as it relates to data practices