Data Program Manager, Finance Data and Analytics

Google • Chicago, IL

1d • $124,000 - $177,000

About The Position

At Google, data drives all of our decision-making. As part of the Finance
Business Intelligence team, you will use data to inform business and product
decisions across the company. Using your technical skills, business acumen and
creativity, you will build tools to automate reporting and generate insight that
will allow clients to quickly and accurately see how our key business products
and processes are performing. Previous experience managing finance systems
projects, with emphasis on providing business intelligence and data driven
insight through reporting, will have equipped you well for this role. You’ll be
involved in projects from inception to delivery, ensuring that your reporting
delivers high-quality and relevant data to intelligently grow our business. You
will also have extensive knowledge of key financial systems, such as Oracle and
Hyperion, and experience working with a range of other business intelligence
tools and platforms.

Finance Data and Analytics (DnA) team combines business acumen, technology and
innovation to organize data, enable insights and create data driven and
efficient Finance organizations in Google. As part of this team, you will have a
unique opportunity to gain perspectives on Google’s core businesses, services
and the products. At Google, data drives all of our decision-making.

As a Data Program Manager, you will collaborate with data engineers, analysts
and BI analysts to create data solutions to enable our finance partners to make
informed decisions, manage risks and opportunities.

The name Google came from "googol," a mathematical term for the number 1
followed by 100 zeros. And nobody at Google loves big numbers like the Finance
team when providing in depth analysis on all manner of strategic decisions
across Google products. From developing forward-thinking analysis to generating
management reports to scaling our automated financial processes, the Finance
organization is an important partner and advisor to the business.

The US base salary range for this full-time position is $124,000-$177,000 +
bonus + equity + benefits. Our salary ranges are determined by role, level, and
location. Within the range, individual pay is determined by work location and
additional factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the specific salary
range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the
base salary only, and do not include bonus, equity, or benefits. Learn more
about benefits at Google [https://careers.google.com/benefits/].

Requirements

• Bachelor's degree in a quantitative discipline or equivalent practical experience.
• 4 years of experience in business intelligence, analytics, or quantitative analysis related fields.
• Experience with SQL and scripting in one or more programming languages (e.g., R, Python, JavaScript).

Nice To Haves

• Experience working in a development lifecycle, defining requirements, checking in code, testing, staging, production.
• Experience with databases, data warehouses, and business intelligence and analytical tools and knowledge of commercial reporting tools and technologies is an asset.
• Knowledge of AI tooling landscape.
• Ability to translate analysis results in business recommendations.
• Excellent problem-solving skills with the ability to analyze complex data sets, gather insights, and develop reporting solutions that support decision making processes.
• Excellent communication skills, including the ability to take complex, topics and create compelling narratives for different audiences, and drive and obtain buy-in from cross-functional teams.

Responsibilities

• Partner closely with the Finance teams, understand their data needs and build plans to address those with intelligent data solutions in a timely and sustainable fashion.
• Incorporate best practices for reporting, dashboards and scorecards, data visualization to ensure the data solutions are and remain relevant in filling the information gaps of the finance organization.
• Maintain highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code.
• Ensure the integrity of data under the purview of the projects, including establishing security procedures to protect and maintain the highest level of confidentiality and data security.
• Deliver data solutions that tell a story and provide insights to the users, enabling them to make better decisions and more efficiently complete their responsibilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level