Data Governance Specialist - Pleasanton, United States - Ask Staffing

Description

Title: Data Governance Specialist

Duration: 8-12 months

Possible extension/conversion? Yes, depending on budget and business needs

Location: Pleasanton, CA

Required onsite?: Required on-site

Plans for interviews: 2-3 rounds of Interviews with Caleb and the team mins)

PR Range: $60/hr - $70/hr
Job Description:Data Governance Specialist (Contractor)
We are looking for a highly meticulous, organized Data Specialist to join our data analytics and operation team. The role will be in close collaboration with the Insight & Innovation Strategy, Business Technology, and Business Intelligence teams on various work streams related to knowledge management and the related change processes. The role will be responsible for collecting, understanding, curating, synthesizing, and ensuring consistency in metrics and ETL process documentation.

The successful candidate would have a solid understanding of relational databases and on how to relate metric and data. They have passion for organizing and creating structures for work tasks. They are able to understand and communicate the needs for their projects and manage multiple streams of work happening in parallel. They are partnering well with business and technical stakeholders, and proactively resolve blockers when they arise.

Key responsibilities include:

• Partner with the Business Intelligence and Insight & Innovation Strategy team to analyze and build reports to understand, monitor, alert, and improve data quality issues.
• Establish key metric ownership and partnering with the Insight & Innovation Strategy team to facilitate data quality change process discussions.
• Lead documentations of business and technical definitions for key metrics and related ETL processes to ensure consistency across teams and reflect accurately on the enterprise knowledge management tool.
• Partnering with the Data Governance and Insight & Innovation Strategy teams to identify and propose improvements for metric definitions and ETL documentation process.
• Facilitate business process discussions, document process diagrams and governance implications to support definition and technical logic changes, and act as change management champion, while keeping the idea of creating repeatable and scalable processes and deliverables at the forefront.
• Track milestones, manage task/project dependencies, manage and monitor task progress, streamline execution, increase overall efficiency, and deliverable status updates throughout the project.
• Ensure overall project/program quality and look for ways to Collaborate closely with Insight & Innovation team leadership and colleagues to support ad-hoc requests

Required Background/Skills:

• Bachelor's degree in Computer Science/Engineering, Analytics, Statistics or at least 5 years of equivalent work experience in Data Analytics.
• Proven track record of implementing Data Governance, Data Quality or Data Stewardship initiatives.
• Knowledge of the technologies used in a B2B tech stack, including CRM tools (Salesforce), related Analytics tools, ETL process, and Data Warehouse.
• 4 years of hands-on experience using scripting languages such as SQL.
• 4 years of hands-on experience working with BI tools such as Tableau
• Excellent written, verbal, and presentation skills.
• Excellent analytical/troubleshooting skills.
• Self-motivated, organized, efficient and process-oriented.

[Internal] Deliverables

• Milestone 1 (End of 4th month)
• Knowledge transfer and training from the Insight & Innovation Strategy team completed, working on the initial draft of documentation (collection of metrics, technical definition, logic/calculation, ownership identification).
• Own relevant metric logics, validation, related documentation and changes.
• Demonstrated ability to understand data warehouse environment, to query data for reporting and insight purpose, and to maintain key metrics
• Milestone 2 (End of 6th month)
• Facilitate and streamline the change management and process related to metric and data quality. Resolve 50% of the initial list of issues
• Demonstrate mastery on data warehouse environment, querying data for reporting and insight purpose, and maintaining key metrics
• Milestone 3 (End of 9th month)
• Complete documentation of RevOps key metrics (collection of metrics, technical definition, logic/calculation, ownership identification, data source, tableau filter, related ETL)
• Continue supports data initiatives and key metrics
• Project completion (End of 12th month)
• Resolve data issues down to 25% of initial issues counts, accounting for new issues throughout. Ensure RevOps key metrics documentations are reflected properly on Collibra.
• Continue supports data initiatives and key metrics