Data Operations Specialist
India - Chennai
Trimble
Easily connect physical and digital worlds with Trimble industrial technologies. Our intelligent data and industry solutions transform the way the world works.Title: Data Operations Specialist
Function: Marketing & Sales
Level: P2
What You Will Do
Trimble is seeking a Data Operations Specialist. As the successful candidate for this position, you will fill a critical operating role within the Trimble Architecture, Engineering, Construction & Operations (AECO) sector and be part of the Marketing Leadership Team. You will be the primary owner of the Go to Market Data Strategy, helping to develop the overall data driven motions for AECO. The role is responsible for the acquisition, integration, and governance of all commercial data assets and systems to enable the Go To Market teams.
Key Responsibilities:
Develop and implement an end-to-end data strategy covering both internal and external sources (e.g., CRM, MAP, Product Entitlements, Success, Web, etc.) and lead data management, data governance, and business analytics data pipelines
Define in partnership with corporate IS; business requirements Master Data Management (MDM) solutions, including data warehouse/data lake implementations to ensure a single source of truth across multiple data sources
Implement and enable cross functional data governance processes for management of data products and information solutions
Collaborate closely with Finance, Market Insights, IT, Marketing, Sales, Success, and other internal teams to integrate data into a single platform
Function as business lead responsible for translating business challenges into technical solutions.
Lead new data acquisition efforts and negotiate with third parties to access data. Proactively manage vendor relationships, oversee contract negotiations, acquire data, and define formats
Develop and implement Data Quality Management (DQM) processes to ensure timely, accurate, and complete data is delivered to relevant stakeholders
Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Domo/PowerBI)
Ensure adherence to regulatory standards and compliance requirements related to claims data analysis and reporting
Stay abreast of the latest industry trends, advancements, and best practices in data management, and data sciences.
Requirements:
Bachelor's degree Computer Science, Statistics, Business, Mathematics, or a related field; advanced degree in similar technical discipline is a plus
2-3 years of experience in commercial data management roles in a SaaS company
Project management skills with the ability to oversee multiple large scale technical projects and deliver on budget and on time
Ability to connect data to the overarching business questions and understand the link between go to market strategy and data integration efforts
Familiarity with data analytics, data visualization, and machine learning
Experience with cloud-based data solutions (AWS, Azure, Snowflake)
Innovative mindset with the ability to take a creative approach to best meet the needs of both customers and AECO
About Trimble:
Trimble is a leading provider of advanced positioning solutions that maximize productivity and enhance profitability for our customers. We are an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so, we are changing the way the world works. Those who successfully lead others to meet our objectives are vital to our organization. Leadership at Trimble is much more than simply exercising assigned authority; we expect our leaders to embrace a mission-focused leadership style, demonstrating the strength of character, intellect and the ability to convert ideas to reality. www.trimble.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Business Analytics Business Intelligence Computer Science Data analysis Data Analytics Data governance Data management DataOps Data pipelines Data quality Data strategy Data visualization Data warehouse Engineering Finance Machine Learning Mathematics Pipelines Power BI Snowflake Statistics
Perks/benefits: Career development
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