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> 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 . Advanced experience working with relational and non-relational databases, dimensional models, advanced SQL queries, stored procedures and functions, data warehouses, ETL processes, and database management systems. • Good data analysis skills including data cleansing and preparation, data exploration and user story maps.- Advanced experience with Azure data environment, tools, products as noted for a Data Engineer.
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.
Intermediate/Advanced Data Modeling Skills -- Conceptual, Logical, Physical; Relational (3NF), Dimensional (star/snowflake), Data Vault 2.0, wide tables for lake/ELT, and canonical models for integration. • Patterns & Techniques: Normalization/denormalization, SCD Type 1/2/3, surrogate keys, conformed dimensions, bridge/junk/helper tables, CDC handling, late/early arriving facts. This role combines strategic advisory, technical leadership, and hands-on delivery to implement a cloud-based (Microsoft Azure) data ecosystem that enhances decision-making, operational performance, and delivery of housing programs. The ideal candidate brings deep expertise in data management and governance, strong Microsoft data platform experience, and domain knowledge in housing finance (Freddie Mac, Client, or similar institutions). strong>Job Description:- Operating as a risk advisor, this role supports "FinX, " a Finance-led initiative focused on replacing the Enterprise ERP system.
- Candidates with previous or current COF experience in Finance, technology, or data risk, or other related fields, are preferred.
Colonial Heights, VA10 days ago The Principal Electrical Engineer is responsible for troubleshooting and improving electrical and instrumentation systems using reliability-centered maintenance and process control technologies while serving as the primary point of contact for E&I issues, leading diagnostics, maintenance activities, and cross-functional collaboration to support plant operations. Provide short-term and long-term improvements in process control using PLC, HMI Programming, AC/DC Inverter Drives, Motor Controls, Experion DCS, and electrical power distribution. Mechanicsville, VA16 days ago In addition to base pay, the compensation package may include participation in performance-based incentive programs (e.g., discretionary or non-discretionary plans), as well as overtime eligibility depending on the role. Responsibilities include inspecting products, analyzing nonconformances, issuing corrective action requests, and qualifying new products and suppliers. ul>Currently has, or is in the process of obtaining a: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. p>On a given day you will be: • Refining a new Enterprise-wide analytical tools validation framework • Planning and executing validation projects • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes • Understanding technical issues in analytical tools and assessing tools risks and opportunities • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations • Leveraging education, colleagues and training opportunities to develop solutions to business problems • Coaching and mentoring junior staff. Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics. The Global Payment Network - Risk Management team leverages large-scale transaction data, risk modeling, and advanced analytics to inform key strategic decisions regarding how we identify, monitor, and mitigate systemic risks. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. p>Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn<https://www.linkedin.com/company/lennar/> for the latest job opportunities. ul>Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. p>Basic Qualifications: Currently has, or is in the process of obtaining a: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
p>On a given day you will be: • Refining a new Enterprise-wide analytical tools validation framework • Planning and executing validation projects • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes • Understanding technical issues in analytical tools and assessing tools risks and opportunities • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations • Leveraging education, colleagues and training opportunities to develop solutions to business problems • Coaching and mentoring junior staff. Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics. 1390 Ridgeview Drive Allentow, VA30+ days ago DMAS - Systems Analyst 4. We are seeking a highly skilled Systems Analyst with strong technical and analytical expertise in healthcare claims processing and comprehensive knowledge of data across all functional areas of the Medicaid Management Information System (MMIS) or similar large-scale claims processing systems. Testing & Quality Assurance- Develop and execute the overall Test Strategy, including System Integration Testing (SIT), User Acceptance Testing (UAT), and End to End (E2E) testing for MMIS and MES modules.
b>Systems Analyst 4. We are seeking a highly skilled Systems Analyst with strong technical and analytical expertise in healthcare claims processing and comprehensive knowledge of data across all functional areas of the Medicaid Management Information System (MMIS) or similar large-scale claims processing systems. Develop and execute the overall Test Strategy, including System Integration Testing (SIT), User Acceptance Testing (UAT), and EndtoEnd (E2E) testing for MMIS and MES modules. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Richmond, Virginia22 days ago Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies; · Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions; · Serve as a technical liaison and subject matter expert for complex analytic questions; · Recommend best courses of action based on analytic findings, tradeoffs, and business constraints; · Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions; · Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches; · Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets; · Provide support for products and applications powered through dashboard and reporting services; · Process confidential data and information according to guidelines. · This position is virtual and open to residents of the 50 states and D.C. Compensation & Benefits: Stride, Inc. considers a person's education, experience, and qualifications, as well as the position's work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee's salary level. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. li>10 years of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets). PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency. p>On a given day you will be: Refining a new Enterprise-wide analytical tools validation framework Planning and executing validation projects Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes Understanding technical issues in analytical tools and assessing tools risks and opportunities Independently researching, identifying, and prototyping industry best practices for emerging analytical tools Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations Leveraging education, colleagues and training opportunities to develop solutions to business problems Coaching and mentoring junior staff. Preferred Qualifications: Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. What you'll work on: Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights. Mechanicsville, VA8 days ago Works with a variety of different types of datasets, and includes data processing, cleaning and validation, data reconciliation and expansion, classical statistical analysis and model estimation, application of contemporary machine learning algorithms to develop predictive indicators of performance. To conduct and develop complex data analyses, develop and develop predictive indicators of performance, create business intelligence tools and dashboards that cross traditional functional lines, and can be used by employees at all levels of the organization, as well as the general public. p>ASRC Agile Decision Sciences LLC is currently seeking qualified candidates to support our Army G-1 mission under the CECOM SEC SETA program at Aberdeen Proving Ground, MD. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Currently has, or is in the process of obtaining a: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Craft and convey clear, impactful and engaging messages that tell a holistic story.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.
p>Prodege: A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. p>Prodege: A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. In this role, you will lead the processing of data into our cloud-based analysis tools, support clients as they use our tools to generate their analysis and build reports, and help raise the bar on scalability, consistency, and operational efficiency across projects. ul>Currently has, or is in the process of obtaining a: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or. In addition to innovating the reporting function, the team is deploying scalable, cutting-edge AI solutions-including intelligent multi-agent architectures-to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error. li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. You will support a Data & Analytics Foundry across numerous business product teams (scaled program with ~235 onshore/offshore resources), building reliable pipelines and curated datasets for analytics and downstream consumption. p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics. This role involves leading experienced data scientists across all aspects of fair lending reviews and monitoring, including performing statistical data analyses, modeling on judgmental areas, working with business on the review of credit models and policies, and enabling the responsible development of AI in credit processes.
On a given day you will be: • Refining a new Enterprise-wide analytical tools validation framework • Planning and executing validation projects • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes • Understanding technical issues in analytical tools and assessing tools risks and opportunities • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations • Leveraging education, colleagues and training opportunities to develop solutions to business problems • Coaching and mentoring junior staff. Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics. Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. The Network Compliance Senior Manager is a critical member of the team responsible for delivering effective challenge and compliance advice for business processes worldwide, as well as serving as a subject matter expert to ensure the development of the network compliance program at Capital One aligns with the company's broader enterprise risk management framework. The Clerks Office serves as the official custodian of the judicial and administrative records of the Commission and the central filing office in Virginia for most business entities, as well as Uniform Commercial Code (UCC) financing statements. This includes processing more than 800,000 registrations and fees annually for corporations, limited liability companies, business trusts, limited partnerships, general partnerships, and limited liability partnerships. p>blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_c450c5f005504fd48a5539c122784277" style="background-image: linear-gradient(rgba(0, 0, 0, 0.5),rgba(0, 0, 0, 0.5)), url("https://d25wby5c7p9100.cloudfront.net/public/uploads/599e9569ce634cc6f690338b21af637e/images/files/b11c644db1e4b7c02146bb405507b1a2/large/mountainview.jpg?1674243607");background-position: 50% 50%" title="Virginia Mountain View">. Hiring Range: $89381.00 to $145244.00 Full Time or Part Time: Full_Time Additional Detail Description for Candidates: Supervise staff and provide oversight and management to assist District in managing Express Lanes, freeways, and managed lanes o. Mechanicsville, VA30+ days ago The ideal candidate combines financial acumen with strong data analytics skills to support strategic decision-making and cost optimization initiatives. This role is pivotal in analyzing, modeling, and forecasting financial data related to Azure cloud services and on-premises data center workloads. ul style="font-family:'calibri';font-size:11pt">Data Analysis & Mapping: Analyze complex source data sets and business processes to define comprehensive mapping logic. - Advanced SQL: Must be able to write joins, subqueries, and window functions to audit large datasets.
Richmond, Virginia30+ days ago Experience working with large data sets including data analysis, interpretation, and display; Possess strong communication, organizational, analytical, and written skills; Demonstrated initiative and the ability to handle multiple tasks simultaneously; Ability to interact positively with teachers, administrators, and support staff; and. The mission of Virginia Virtual Academy (VAVA) is to provide an exemplary individualized and engaging educational experience for students by incorporating school and community/family partnerships coupled with a rigorous curriculum along with a data-driven and student-centered instructional model. p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
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