Data Analyst - San Francisco, United States - Early Warning Services

Description

Come build the next-gen fintech at Early Warning, network operator of Zelle, where we're relentlessly focused on empowering prosperity in all its forms.

From fast money movement for over 100 million people who can access Zelle directly through their banking app to new account opening and beyond – we make a difference in the lives of consumers and businesses every day and enable them to live their best financial lives.

And we're only getting started.

With new state-of the-art offices in Scottsdale, AZ (Headquarters) and Chicago, IL – plus a growing presence in San Francisco – we're entering our next big chapter.

People matter to us, so we think our best work is done when we're together, in-person. From informal interactions, to sharing ideas, to mentoring and beyond.

We also believe in workplace flexibility and empowering teams to determine the rhythm of work to create an inclusive culture.

Through the power of innovative collaboration, we offer hybrid and (when necessary) virtual ("remote") workplace models.

We focus all hiring efforts in a few states and within driving distance of an office location to enable in-person collaboration when and where possible.

Priority hiring locations are Scottsdale, AZ, Illinois, NY tri-state metro area (New Jersey, New York and Connecticut) and San Francisco, CA.

On exception we will hire in secondary locations such as District of Columbia, Florida, Georgia, Maryland, Nevada, North Carolina, South Carolina, Texas and Virginia.

We are not actively recruiting in Colorado, Rhode Island or Washington.

Join us and make your mark on what's next in fintech.

Applicants must be authorized to work for any employer in the United States. We are unable to sponsor an employment Visa for this position.

Overall Purpose

The Data Analyst will be responsible for analyzing data, generating metrics, and measuring processes to support data quality & data governance, including identifying areas for improvement, and implementing solutions.

The ideal candidate should be a detail-oriented individual with strong analytical skills and the ability to work independently and as part of a team.

Essential Functions

Build and identify metrics to share with stakeholders in the form of easily digestible dashboards via technology tools such as SQL, Tableau, Python.

Perform root cause analysis to identify key areas of improvement in our operational processes.
Partner with data and engineering teams build out the infrastructure to track key business metrics.
Identify and assess emerging risks; escalate concerns and provide recommendations on mitigation strategies.
Aggregate data for incident response, regulatory inquiries, and other course-of-business happenings.
Collaborates with operations, engineering, and product teams to launch, improve, de-risk, and scale Early Warning's products and systems.
Ensure 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.
Identify and analyze data and produce digestible reports that assess performance and ultimately improve processes.
Communicate 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 3 years or more of qualifying experience data analytics, data quality or data governance or related experience is required.

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.
Long-term thinking and ability to identify and mitigate risks proactively.
Excellent analytical and problem-solving skills with the ability to analyze complex data-related issues and propose effective solutions.
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.
Strong communication skills and ability to efficiently communicate with technical and non-technical stakeholders.
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

San Francisco, CA in USD per year is: $70,000 - $80,000.

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.

And SO much more We continue to enhance our program, so be sure to check our Benefits page here for the latest.

Our team can 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.

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