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Location: 800 Philadelphia Street Indiana, Pa 15701 or 358 N Shore Drive Pittsburgh, Pa 15212 Hours: Monday - Friday: 8AM-5PM (Additional hours as necessary to meet the objectives of the department) Function: The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting, dashboard development, predictive analytics, and ad hoc projects while serving as a subject matter expert for designated reports/data. Duties and Responsibilities: Delivers analytical solutions, in a timely and accurate manner, with some direction from their respective Team Leader, that address the needs of their assigned business partner(s). Accountable for the ongoing production and maintenance of reports and dashboards within an independent capacity and with minimal oversight; serves as a subject matter expert for designated reports/data and responds efficiently to end user questions. Acquires knowledge and expertise to builds an increasing understanding of assigned business areas with an increased focus on identifying opportunities to further create value through applied analytics. Effectively collaborates and communicates with business partners, focusing on conveying outcome-based results from the gathering and reporting of analytics. Develops an effective working knowledge of the underlying bank data, effectively navigating, with limited direction, the Bank's data to deliver analytical assignments. Effectively leverages analytical platforms (e.g., BIC, Tableau) to efficiently fulfill analytical assignments; increasingly applies advanced analytical techniques in support of predictive analytics and makes recommendations to further enhance dashboards and reporting capabilities. Demonstrates a deep understanding of the inherent risk of managing data assets and ensures compliance of appropriate bank policies and regulatory requirements while delivering business results. Maintains a good working relationship with Bank employees. Demonstrates a strong ability to work independently, as well as motivated to work as a team player to contribute to the success of the department and in turn, the organization. Performs additional duties as assigned. Education:
Requires a four-year degree in data science, computer science, applied mathematics, statistics, business, economics, and/or quantitative discipline preferred. Experience:
Two to five years general experience with two to five years specialized experience in analytics and financial services. Physical Demands: Operates a keypad device: 90% of the day; operates office equipment: 90% of the day. Must be able to occasionally lift and/or move up to 10 lbs. Use of manual dexterity skills for typing up to 90% of the business day. Specific vision requirements include close vision of 18"-20", distance vision and depth perception for computer work. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Salary Range: $48,000.00 - $115,500.00
Sprachkenntnisse
- English
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