For over 25 years, Early Warning has been a leader in technology that helps protect and advance the financial system. We serve a diverse network of approximately 2,500 financial institutions, government entities and payment companies. Our product solutions enable real-time funds availability for a variety of payment types through our payments network.

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.