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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
Austin, TX, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Job Description
Minimum qualifications:
- Bachelor’s degree in Computer Science, IT, or equivalent practical experience.
- 12 Years of experience implementing and customizing vendor software and/or building custom applications through full system implementation in the Human Resources Domain.
- 10 years of experience with Career Development Platforms/Applications (e.g., Gloat, Eightfold.AI, Skyhive, etc).
Preferred qualifications:
- Experience in integrated Human Resource implementations (e.g., Workday, SAP EC, Success Factors, ADP, Taleo, PeopleSoft, etc).
- Proficient in re-engineering the business processes in Human Resource Talent Management, including Learning and Development domains.
About the job
At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks. The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler needs into high-level technical specifications, design and develop recommended systems and consult with Google executives to ensure smooth implementation. Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently.
With your technical expertise, you build business applications and influence the design of features that improve the reliability of our applications and systems. You also define the scope of technical projects and oversee execution.
People Operations Works is responsible for building the systems used to hire, grow, and retain Google's talent. We partner with POps (People Operations) to create solutions, using first- and third-party solutions.
Within People Operations Works, the Talent Ecosystem team represents an opportunity to magnify the impact of Google’s most important asset: our Googlers. Our team’s work has a direct influence on the careers of Googlers globally. In this role, you will partner with Product Managers, Business Systems Analysts, Engineering and other stakeholders to inform our direction and roadmap.
As the Career Development Business Systems Analyst, you will manage the strategy and execution of career development across our stack, including definition of a skills ontology, Googler and talent profiles, and how Googlers identify and own their career paths at Google.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
- Lead efforts with multiple stakeholder and engineering teams across Google in order to consolidate skills, taxonomies, and create skills ontology.
- Define the strategy, functional architecture, end-to-end solution design, data flow, and KPIs/success metrics for skills, talent profiles, and career development.
- Drive, debate, and unify across business owners, engineering teams, and external resources to translate requirements and dependencies into actionable roadmaps, with clear project KPIs and metrics.
- Lead stakeholder engagement, including the summarization and explanation of the problem space, designs, business processes, and the value proposition for making investments in a unified process and solution.
- Operate as the subject matter expert for the portfolio of services, systems, and integrations.
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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Google is currently hiring Business Systems Analyst Jobs in Austin, TX, USA with average base salary of $120,000 - $190,000 / Year.
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GoogleMountain View, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleToronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleNew York, NY, USA; Cambridge, MA, USA
6-8 year
Customer Engineer, AI/ML, Gaming, Google Cloud
GoogleAddison, TX, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Staff Software Engineer, Machine Learning, Google Pixel Watch
GoogleMountain View, CA, USA; San Diego, CA, USA
8-10 year
Marketing Data Scientist
GoogleNew York, NY, USA; San Francisco, CA, USA; Chicago, IL, USA; Ann Arbor, MI, USA
4-6 year
Principal, Generative AI, Trust and Safety
GoogleHyderabad, Telangana, India; Bangalore, Karnataka, India
10-12 year
AI/ML Field Solutions Architect
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
4-6 year
Image Processing Machine Learning Engineer
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Data Solution Engineer, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
AI Engineer, Professional Services, Google Cloud
GoogleAustin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Kansas City, MO, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
Software Engineer, Early Career, Campus
GoogleCambridge, MA, USA; Durham, NC, USA; Mountain View, CA, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; San Bruno, CA, USA; Seattle, WA, USA
0-2 year
Associate Commercial Counsel, AI Research
GoogleAtlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA
4-6 year
Sales Engineer, Machine Learning, Google Cloud
GoogleAtlanta, GA, USA; New York, NY, USA; Salt Lake City, UT, USA; San Diego, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Tennessee, USA
0-2 year
Senior Staff Data Scientist
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Diego, CA, USA; Sunnyvale, CA, USA
12-14 year
Software Engineer III, Computer Vision/Infrastructure, AR
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; United States
0-2 year
Data Scientist, Ads Marketing Analytics
GoogleChicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Cloud Engineer, AI/ML
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Technical Program Manager III, Generative AI, Search
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Sunnyvale, CA, USA
6-8 year
Data Analytics Apprenticeship, March or June 2024 Start
GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India
0-2 year
Open Source Lead, Staff Software Engineer, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA
6-8 year
Research Scientist, Machine Learning, Computational Photography
GoogleHaifa, Israel; Tel Aviv, Israel
4-6 year
Machine Learning Software Engineer, Silicon
GoogleMountain View, CA, USA; San Diego, CA, USA
12-14 year
Product Manager, AI Imagery, Google Research
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
4-6 year
Group Product Manager, AI/ML, Qwiklabs, Google Cloud
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
10-12 year
Business Data Scientist, Natural Language Specialist
GoogleMountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Business Data Scientist, Ads Marketing Analytics
GoogleMountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year