Industry: Accounting, Finance & Insurance•
Less than 5 years
Posted 105 days ago
At First National, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.
Exempt | Monday Through Friday
The Enterprise Data Management department at First National Bank works in support of the many systems, processes, and data sources across all divisions at the Bank.? The Sr. Analyst, Data Management position is a key role in the department, responsible for various data management and data governance activities in support of and in collaboration with enterprise initiatives.
Metadata Management: Lead the process to gather and maintain standard data definitions for each data element, conformed item, and calculated item available for use in the data environment.
Coordinate with various departments to establish and maintain standard and consistent definitions.
Identify key performance indicators, as defined by senior management and key stakeholders to ensure alignment with other business units.
Coordinate with related Information Technology teams to ensure alignment of data definition across the enterprise.
Coordinate with IT on the establishment of standard definitions as available fields in the data environment.
Data Quality Management: Lead the process to identify, prioritize, and complete data quality improvement initiatives to ensure that high quality, accurate data is available for use in the data environment.
Participate in profiling data from various sources to identify and understand current-state data quality.?
Manage and coordinate data quality improvement efforts from source system inputs to final presentation through the data warehouse.
Participate in enterprise data quality discussions and initiatives to ensure alignment across the bank.
Master Data Management: Lead the process to identify and define master records for key business entities necessary to First National Bank.
Facilitate the data mastering / golden data record process for key entities.
Participate in defining master data and in aligning IT and business units around the mastered data.
Participate in presenting and making available master record data for operational use, analytical use, and in decision-making.
Participate in business intelligence activities in support of business initiatives, which may include:
Participating in IT projects to ensure that data considerations are included in new implementations and modifications.
Establishing or improving extract, transform, and load (ETL) processes.
Creating or improving data semantic layers for use by data-related tools.
Querying data for creation and improvement of semantic layer datasets to feed reporting systems.
Knowledge, Skills, and Abilities:
Strong written and verbal communication skills, including the ability to lead presentations and discussions in medium and large group settings. Strong interpersonal skills, including the ability to build rapport and consensus between business and information technology teams/backgrounds. Ability to prioritize, multi-task, and work efficiently toward completing complex tasks. Ability to extract, summarize, and analyze large sets of data, leveraging querying and reporting tools including SAS, SQL Server Management Studio, Visual Studio, SQL Server Data Tools (SSIS, SSAS, SSRS), MS Power BI, and/or Business Objects Expertise in Microsoft Office products (especially Excel) and in SharePoint site collaboration activities.
1. Bachelor's degree required. If no Bachelor’s degree obtained, can accept equivalent working experience (two  years) in data analysis/data management in lieu of degree.
2. Minimum of three  years of experience using SQL, SAS, or other tools to query, extract, manipulate, and analyze large datasets required
Strong verbal and written communication skills. Ability to handle stress, meet deadlines, and work independently. Experience in financial services industry. Experience with Microsoft Business Intelligence toolkit (SSIS, SSAS, SSRS). Familiarity with Microsoft SQL Server environments.