Perform data discovery and requirements of new data ingestions, conduct in depth analysis for source to target mapping, develop data dictionaries, and perform data testing and validation. • Minimum 5 years of data analysis, requirements definition, and data warehouse build experience.div>• Perform data modeling, data architecture map, data governance for data at rest. • Strong communication skills with range of stakeholders and SME, including leadership. ul>Support the execution of Data Consent Order remediation programmes, contributing to delivery in line with regulatory commitments and timelines, adhering to enterprise-wide data policies. Build collaborative relationships across Global Markets front-to-back stakeholders, e.g., trading desk, finance, operations, technology, data stewards, risk management. p>· Support OSHP life insurance program manager and Benefits Initiation Section 3 staff in administering life insurance enrollment and eligibility, handling escalated eligibility and enrollment questions resulting from discrepancies between My Insurance Benefits system, Securian Financial billing system, and employer records. · Research, analyze, and troubleshoot eligibility and enrollment discrepancies, coordinating with ETF technical staff, vendors, and business teams to identify root causes and implement corrective actions. div> Description: Lead data discovery and requirements of new data ingestions, conduct in depth analysis for source to target mapping, develop data dictionaries, and perform data testing and validation. • Advanced business requirements gathering and documentation with the ability to work with the technical team to translate business requirements to technical requirements . When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Successful candidates will have experience analyzing data from SPACECOM systems (Finance, Logistics, Personnel, Acquisition, Contracting, etc.), work well in a collaborative environment, think creatively, thrive under pressure, and be able to adjust to shifting priorities quickly. This role is responsible for migrating large data sets from legacy systems into a new ERP environment, ensuring data accuracy, completeness, and alignment with business requirements. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. li> Advanced knowledge of SQL for data profiling and data analysis (data quality, data reconciliation, data distribution) -Ability to write SQL and leverage advanced Excel formulas to assess data. - Collaborates effectively with data stewards, business stakeholders, and technical teams to maintain data quality, enforce policies, and enable trusted, well-documented data for analytics and operational use.
Lake Buena Vista, FL2 days ago ul>Bachelor’s degree in data science, statistics, computer science, information systems, finance, business administration, or a related field; or an equivalent combination of education and practical experience working with analytical tools, data integrations (including APIs), and business intelligence platforms such as Python, Power BI, Tableau, or Smartsheet is required. In this role, you will lead data analytics for RCES Program Development, RCES Operational Services & Strategy, and RCES Senior Leadership for decision making and provide helpful analytics in response to open-ended program requests. p>• Skills: Strong experience in data pipeline orchestration (Databricks, Kafka) and data modeling for analytical environments; Hands-on experience with Databricks, Starburst, and Kafka as a power user; Hands-on expertise with dashboard development and monitoring (e.g., Power BI, Tableau); Deep expertise in data discrepancy investigation, root cause analysis, and resolution; Proficiency in SQL and Python; familiarity with cloud platforms (AWS, Azure); Strong organization and project management skills; Excellent problem-solving skills to investigate unknowns and connect disparate data sources. While you will work with database architecture concepts, this will be from a power-user perspective, focusing on sandbox or non-production environments of the Datalake to support research prototyping and analytics, not enterprise-scale operational systems, in collaboration with partner teams for administrative support and broader data access. Fort Belvoir, VA7 days ago This position supports a fast-paced program office with the collection, evaluation, analysis, reconciliation, validation, management, and identification of electronic data and records for a health-related program. DCS is seeking a Data Management Analyst to support an Army project management office at Fort Belvoir, Virginia. Saint Louis, MO2 days ago The Credit Data Analyst II will employ data science methodologies to ensure loan portfolio data integrity to be utilized in credit loss forecasting and management reporting as well as supporting discovery or solutions for firm data driven initiatives and developments. Improve the accuracy and consistency of loan risk ratings, and ImpairmentStudio outputs through automation and documentation of internal processes, providing data integrity and reconciliation accuracy and consistency metrics through periodic reporting. The ideal candidate will have strong experience in SQL, Python or Java/.NET, data analysis, and capital markets risk domains and a proven ability to deliver techno-functional solutions for data ingestion, rules execution, and analytics in a greenfield environment. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Juno Beach, FL14 days ago Preferred Skills: - Experience with relational databases like PostgreSQL and multi-dimensional models built using SSAS, SAP BW, GEP smart, Redshift cluster, etc. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
Activities involve feature extraction (airfield infrastructure), feature analysis, feature validations, data entry, database scripting, quality control/assurance and product finishing. - Basic knowledge and understanding of airfield infrastructures such as taxiways, runways, navigational aids, ATC tower, and hangars, to create AFD products.
In close collaboration with Quality Program Managers, Manufacturing leads, and Advanced Quality Technology specialists, you will use data-driven analysis to identify root-cause remediations, keep product quality on-spec, and sustain on-time delivery. = Quality Metrics & Dashboards – Design and maintain Power BI/Tableau dashboards that surface defect trends, first-pass yield, scrap rates, and other KPIs to enable real-time, actionable decision-making. See Pace Analytical Privacy Policy at https://www.pacelabs.com/privacy-policy/ and SonicJobs Privacy Policy at https://www.sonicjobs.com/us/privacy-policy and Terms of Use at https://www.sonicjobs.com/us/terms-conditions. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.. The ideal candidate will have strong experience in data analysis, SQL, and enterprise programming and a proven ability to deliver techno-functional solutions that support regulatory capital, risk, and analytics outcomes. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Washington, DC14 days ago p>This role sits at the intersection of business, product, and engineering, helping translate stakeholder needs into clear requirements, structured processes, and reusable documentation that supports platform adoption and operations. The Enterprise Data Platform (EDP) team is seeking a Data Platform Analyst to support a high-impact initiative focused on enabling trusted, well-governed data across the organization. |