Offer summary

Qualifications:

BS in Math, Computer Science, or a related technical field., 2-5 years of experience in data engineering and building ELT data pipelines., Proficiency in Python or a similar programming language., Strong analytical skills and experience with cloud platforms like AWS, Azure, or Google Cloud..

Key responsabilities:

Monitor and analyze consumption and spend for Cloud and 3rd Party SaaS tools.

Automate monthly reports on spend vs. budget for Cloud and SaaS tools.

Construct and maintain data pipelines for consumption and spend data.

Build Tableau dashboards to provide visibility into consumption and costs.

Job description

Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 93 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!

Intro and job overview:

The Cloud Delivery Manager is responsible for providing governance and reporting capabilities to the business for our Cloud and 3^rd Party SaaS tool consumption. This position is responsible for building/maintaining data pipelines and deriving new data sets via programmatically obtained data. From these data pipelines, this position will build dashboards, analyze and audit data and trends, and report out to the business on our Cloud and 3^rd Party tool consumption, spend, and risks. This position will analyze consumption and spend data to identify trends and anomalies in support of maximizing our operational efficiency, identifying cost savings opportunities, and enforcing best practices. This position will also assist with administering and managing access to Cloud and 3^rd Party SaaS tools.

Responsibilities and Duties:

Monitor and analyze consumption and spend for Cloud and 3^rd Party SaaS tools to identify unexpected changes and risks
Automate the preparation of monthly reports on spend vs. budget for Cloud and 3^rd Party SaaS tools
Prepare consumption and spend forecasts in support of Cloud and 3^rd Party SaaS Tool renewals and budgeting
Construct and maintain data pipelines via programmatic access to consumption and spend data for 3^rd Party SaaS Tool suppliers
Use data pipelines to build Tableau dashboards to provide the business with visibility into consumption and costs
Work with Vendors and Precisely Business Owners of Cloud and 3^rd Party SaaS tools to ensure consumption and footprint are rightsized and optimized
Provide assistance with administering and managing access to Cloud and 3^rd Party SaaS tools
Identify cost optimization opportunities and work with cross functional teams to implement these strategies
Provide assistance with administering and managing access to Cloud and 3^rd Party SaaS tools

Requirements and Qualifications:

BS in Math, Computer Science, or another technical field
2-5 years of experience with data engineering, building ELT data pipelines, creating data visualizations, and analyzing data
Proficiency with Python or similar programming language
Ability to interact with and communicate information effectively to a large variety of cross-functional stakeholders and with Vendors
Strong analytical and problem-solving skills required
Proficiency in financial analysis and cost management tools
Excellent communication and collaboration abilities.
Experience working with DBMS and Tableau required
Proven experience with cloud platforms such as AWS, Azure, or Google Cloud, and with SaaS tools

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