Staff Data Analyst, Operations

About Our Client

Our client is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

This role is at the forefront of the organization’s data-informed strategy, specifically focused on supporting Operations leaders responsible for enterprise application systems/workflows (e.g. Salesforce, NetSuite, Zuora, RevPro). In this pivotal role, the Staff Data Analyst (Operations) will spearhead critical analytics projects aimed at optimizing these key systems, improving operational efficiency, and providing data-driven insights to guide strategy.

This high-impact role offers exposure to senior leadership and the chance to make a lasting impact on the organization's success. If you're passionate about leveraging data to optimize operations and thrive in a fast-paced atmosphere, this role offers an exciting opportunity to shape the future of restaurant technology.

Key Responsibilities

• Partner with Operations leaders to transform analytical insights into clear narratives and actionable strategies.
• Collaborate with various cross-functional teams (Marketing/Sales, Finance/Accounting, Customer Experience, Engineering) to ensure data integrity and alignment on key operational metrics related to enterprise applications.
• Design and maintain comprehensive dashboards to track key performance indicators (KPIs) related to system health, workflow efficiency, and data quality within core operational systems.
• Conduct in-depth analyses to identify key drivers of system performance, workflow bottlenecks, and data anomalies within systems like Salesforce, NetSuite, Zuora, and RevPro.
• Continuously identify opportunities for process improvement and automation in data collection, analysis, and reporting related to operational systems.
• Design and evaluate experiments to test hypotheses and quantify the impact of operational improvements related to these systems.
• Stay current with industry trends and emerging technologies in data analytics and operational systems management to drive innovation within the team.
• Mentor team members and foster a culture of data-informed decision-making across the organization, specifically related to operational data.

Required Qualifications

• Experience working in data analytics, preferably with a focus on operational data and enterprise applications at a technology company (or similar environment).
• Strong familiarity with analyzing data from systems such as Salesforce, NetSuite, Zuora, and RevPro.
• Seasoned in transforming complex data into clear, actionable strategies for diverse audiences.
• Thorough understanding of core operational metrics, system/workflow performance analysis, and associated analytical methods.
• Adept at using SQL and Python/R for data modeling and statistical analysis (e.g. hypothesis testing, experimentation, regressions).
• Ability to effectively serve as a thought leader (and driver) for how data, analytics, and intelligence can be leveraged in solving business problems.

AI at the Organization

At the organization, there is a drive to build and learn. It is believed that learning new AI tools empowers individuals to build for customers faster, more independently, and with higher quality. These tools are provided across all disciplines, from Engineering and Product to Sales and Support, and the organization is inspired by how team members are already driving real value with them. The people who thrive here are those who embrace changes that let the organization build more for its customers; it’s a core part of the culture.

Total Rewards

The organization strives to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in the industry. The total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet team members’ changing needs.

The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible).

Salary Range

$113,000—$181,000 USD

Working Together

Our client embraces a hybrid work model that fosters in-person collaboration while valuing individual needs. The goal is to build a strong culture of connection as individuals work together to empower the restaurant community.

Note:

“We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. Swooped helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS.”