At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

The Sr. Data Analyst is responsible for partnering and providing expert consultation and day-to-day support of the company's data quality & data governance function including: data analytics, dashboards, generating metrics, and measuring processes. Serves as the technical lead in identifying areas for improvement, evaluating, and implementing viable solutions.

Essential Functions

• Owns root cause analysis; identifies key areas of improvement in our operational processes; provides recommendations and implements viable solutions.
• Builds out the infrastructure to track key business metrics in partnership with data and engineering teams.
• Launches, improves, de-risks, and scales Early Warning's products and systems in collaboration with operations, engineering, and product teams.
• Ensures data requirements for operations teams are met when launching new initiatives or products.
• Participates in the development and implementation of data-related strategies and initiatives.
• Communicates complex findings and recommendations to stakeholders, including senior management, in a clear and concise manner, enabling informed decision-making.
• Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.
• The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

Minimum Qualifications

• Education or experience equivalent to a Bachelor's degree in a quantitative field such as Economics, Mathematics, Engineering, Finance, or related field.
• Minimum 5 years or more of progressive, qualifying experience data analytics, data quality or data governance or related experience is required.
• The ideal candidate should be a detail-oriented individual with strong analytical skills and the ability to work independently and serve as a trusted expert for assigned duties as part of a team.
• Passion for performing data deep dives and using statistical techniques to uncover significant insights.
• Ability to learn quickly, think critically, and apply problem-solving skills to resolve issues and implement process improvements.
• Demonstrated business acumen within knowledge and understanding of business issues, priorities, goals, and strategy is necessary, including long-term thinking and ability to identify and mitigate risks proactively.
• Excellent analytical and problem-solving skills with the ability to organize, analyze, and disseminate complex data-related issues and propose effective solutions.
• Must possess strong organization skills, including the ability to multi-task and manage multiple projects to meet various deadlines in a fast-paced environment.
• Proficiency in data manipulation tools such as SQL, Python, or R.
• Strong working knowledge of data visualization tools (e.g., Tableau) to create impactful reports.
• Demonstrated ability to communicate across all levels of the organization is necessary; must be able to clearly articulate technical ideas to a non-technical audience both verbally and in writing.
• Attention to detail and a commitment to data accuracy.
• Background and drug screen.

Preferred Qualifications

• Experience with statistical techniques including regression, clustering, time series analysis.
• Undergraduate degree in CS.
• Master's degree in quantitative discipline.
• Prior experience working in payments, financial services, or similar regulated industry.

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The pay scale for this position in:

Chicago, IL in USD per year is: $110,000 - $125,000

San Francisco, CA and New York, NY in USD per year is: $116,000 - $135,000

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Additionally, candidates are eligible for a discretionary bonus, and benefits.

Some of the Ways We Prioritize Your Health and Happiness

* Healthcare Coverage-Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

* 401(k) Retirement Plan-Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

* Paid Time Off -Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

* 12 weeks of Paid Parental Leave

* Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

AndSOmuch more! We continue to enhance our program, so be sure tocheck our Benefits page herefor the latest. Ourteamcan share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.