Senior Data Analyst- Jobs Near Me

Parsons is looking for an amazingly talented Personnel Security - Sr. Data Analyst to join our team! In this role you will get to Investigate and process financial anomalies. What Required Skills You'll Bring: An Active TS/SCI security clearance. Ability to obtain and maintain a CI POLY. 11+ years of Security/Data Automation. 11+ years of experience with Risk Management Framework 11+ years of experience with Security Executive Agent Directive (SEAD). Bachelor's degree preferable in a STEM field. What You'll Be Doing: Prepare all applicable filer notifications regarding SFDP to ensure they are provided to the NGA filer at the intervals specified by the program plan. Investigate and process Financial Disclosure and Continuous Vetting (CV) cases within the timeframes designated by the SFDP Team Lead for the filing season. Accurately assess financial anomalies, unexplained affluence, and derogatory information for security concerns in accordance with Federal Investigative Standards (FIS) and Security Executive Agent Directive (SEAD) guidance. Prepare annual reports summarizing the findings and lessons learned related to anomalies uncovered, percent compliance, actions taken for non-compliance, and trends in customer feedback. Propose process improvements to the Division Chief by leveraging lessons learned. Ensure the File Transfer Protocol (FTP) connections from NGA to the Background Information system meet NGA and NIST requirements. Coordinate the use of multiple security countermeasures to protect the integrity of information assets and enforce data sensitivity. Ensure the user community of this network conforms to all computing standards of NGA. Ensure site-to-site VPN tunnels are established based on NGA and DOD requirements for information exchange security. Ensure users of the Personnel Security Background Investigation systems protect data in accordance with NGA and DOD policies, standards, regulations, and procedures for the specified systems. Ensure investigation operations follow accreditation standards using Intelligence Community Directive (ICD) 503, Risk Management Framework (RMF), and categorizing methods of High Confidentiality, High Integrity, and Moderate Availability level. Implement security controls to protect Background Investigation system(s) against malicious behavior, including intrusion, tampering, and viruses, between the two systems (e.g., Background Investigations System and NGA network). Apply the Risk Management Framework to integrate security and risk management activities into the development life cycle. Use a risk-based approach to security control selection, considering effectiveness, efficiency, and constraints due to applicable laws, directives, executive orders, policies, standards, or regulations. Exhibit clear and concise writing skills and positive, engaging communication skills.

Responsibilities: • Elicit and document business requirements. • Translates business requirements to technical requirements. • Produces actionable dashboards in Power BI and/or Tableau and reports that show key performance indicators; identify areas of improvement for processes, products, or services. • Responds to ad-hoc requests and provides reporting solutions across multiple business areas. Creates and maintains specifications for reports and analyses based on business needs and required or available data elements. • Generates ad hoc reports or data extracts, dashboards, canned reports, and regular datasets for end-users using system tools, queries, and scripts. Integrates data from multiple sources to produce requested or required data elements. • Identifies areas of improvement in data collection processes or systems and make recommendations to correct any deficiencies. • Performs other related duties as assigned. Qualifications: • Diverse professional work experience in data visualization, data analysis, Tableau, Power BI • Proficient in SQL including Complex SQL joins, inline tables, complex business logic • Advanced Calculations in Tableau • Demonstrated experience in analytical, problem solving, critical thinking, operational excellence, communication (written and verbal), stakeholder management, interpersonal, and self-management skills. Experience with Agile development methodologies. • Experience with Cloud technologies such as Aws, Azure with an emphasis on serverless architecture. About Delphi-US Delphi-US is a national recruiting firm based in Newport, Rhode Island. We specialize in IT, Engineering and Professional Staffing services for organizations from Main Street to Wall Street. Our mission is simple: To connect great people to great companies. We accomplish this with a proprietary skill-based and cultural matching process that results in higher qualified submissions along with increased interviews and offer rates. You'll find our team is friendly, professional and ready to advocate on your behalf, armed with industry trends, an understanding of employer needs.

Paradyme Management is a rapidly growing government technology leader that puts service first, for its customers, its team and the communities it supports. Paradyme harnesses DevSecOps and Agile development processes to deliver exceptional results for digital transformations. Based in Tysons Corner, VA, Paradyme's award-winning culture sets it apart through its team's deep commitment to service and collaboration with its customers, each other and the community. Learn more at *************************** We are seeking an Data Quality Analyst in support of a Federal Agency customer. This position requires an ACTIVE SECRET security clearance, and the ability to work onsite in the DC metro Area. With customer approval, a hybrid schedule will be available. Description: Organizes data by relevant categories so that it may be used and protected more efficiently. Develops systems to make data easier to locate and retrieve. Tags data to make it easily searchable and trackable. Ensures compliance and data security. Requirements: Active Secret security clearance Must have strong SQL experience with advanced queries Experience with ETL and Data Pipelines Experience with Databricks in AWS Experience with Data Warehouse / Data Lakes a plus Physical Requirements: These are the essential physical requirements needed to successfully perform the job. Sedentary work. Requires sitting up to 8 hours per day. May require lifting up to 5 pounds unassisted. Fine repetitive motor skills with hands, wrists, and fingers in coordination with eyes. Hearing, speaking, and vision: Adequate to perform job duties and communicate in person, via video, and telephone. Includes reading information from printed sources and computer screens. Other: Work may be performed in an office environment, which may involve frequent contact with staff and the public. Work may be stressful at times. Paradyme Management, Inc. is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Paradyme will take the steps to ensure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact Rose Luczak, Director of People Operations at *********************** or at ************** Paradyme is a federal contractor and an EEO and an Affirmative Action Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, pregnancy-related disability, physical or mental disability, genetic information, sexual orientation, marital status, familial status, personal appearance, occupation, citizenship, veteran or military status, gender identity or expression, or any other characteristic protected by federal, state or local law.

End Client: State of Virginia Job Title: Senior Data Modeler Duration: 06+ Months Contract Interview Type: In-Person Interview Only Requirement ID: SVA_DATA577_VV #: VDOT Enterprise Data Modeler (752577) Required Skills: 10 Years of Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. 10 Years of Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.(Required) 10 Years of Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect 10 Years of Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.(Required) 10 Years of Perform data profiling/analysis activities that helps to establish, modify and maintain data model (Required) 10 Years of Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. (Required) 10 Years of Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol (Required) 10 Years of Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.(Required) 10 Years of Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.(Required) 10 Years of Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. Required 10 Years of Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.(Required) Department: The Virginia Department of Transportation (VDOT) *local Richmond, VA candidates required *candidate will be required to interview ONSITE, NO exceptions *candidate will be required to work ONSITE 2-3 days/wk *the contract may be extended annually beyond June 30, 2025 *Contractor will be responsible for purchasing parking through VDOT's Parking Management Office or procuring their own parking Job Description: Enterprise Data Modeler The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows . Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata. Responsibilities: • Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. • Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. • Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model. • Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. • Perform data profiling/analysis activities that helps to establish, modify and maintain data model. • Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. • Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. • Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables. • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. • Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.· Ensure that data strategies and architectures are in regulatory compliance. • Good knowledge of applicable data privacy practices and laws. • Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language. • Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks

Immediate need for a talented Data Analyst Senior. This is a 09+ Months Contract opportunity with long-term potential and is located in McLean, VA (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-55385 Pay Range: $45 - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Using SQL to deliver views to support business decisions. Developing end to end data lineage for data elements used in Financial Reporting processes. Business requirement gathering and translating it into user stories. Meeting business objectives. Ability to validate data to ensure completeness and accuracy. Key Requirements and Technology Experience: Skills-Data analysis, SQL/Relational databases, ETL data mapping. 5 or more years of experience in providing applications support for Financial Reporting processes along with complimentary experience in collaborating with a team. Experience in developing end to end data lineage for critical data elements used in Financial Reporting processes. Experience in collecting requirements, crafting and developing integrations, configuring Commercial-Off-The-Shelf (COTS) software products. Ability to quickly learn new software applications and effectively collaborate with stakeholders to influence outcomes. Bachelor's degree in finance, Business, Computer Science, Information Systems, a related field or equivalent experience. Strong problem-solving and analytical skills while maintaining ability to understand different perspectives. Expertise in querying, analyzing, reconciling, and testing complex relational and non-relational data. Knowledge of accounting, subledger and financial reporting concepts. Strong consultation and communication skills. Our client is a leading Banking Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Must Haves: SQL, Excel, Presentation Skills, Jira, Written and verbal skills, Able to write Features, Strong Data Analyst skills, writing stories, UAT Testing, Agile environment. Preferred- Salesforce Assist the Product Owner to data analysis, write user stories and edit acceptance criteria, making sure each story aligns to the feature objective Proactively bring ideas to the table to increase value to our customers, recognizing roadblocks early, and presenting ideas and options to key partners Troubleshoot product questions and technical challenges Facilitate meetings to bring tech and non-tech partners together to innovate and problem solve Demo solution options, existing functionality, and new functionality in various business settings Understand and proactively utilize Modern Delivery practices Actively participate in all agile ceremonies Use applications including Jira, Teams, Salesforce configuration workbook, Confluence, Excel, Word, PowerPoint, Visio Understand and quickly learn Salesforce technology and value Understand and quickly learn business use cases and needs Qualifications: Bachelor's Degree or equivalent work experience Agile product delivery experience, including requirements capturing, writing user stories, and using Jira technology (preferred) Salesforce knowledge required

Business Data Analyst, Reporting Applications - SQL Development Department: HSM Digital Solutions What will I be doing? Do you have a passion for high-quality data? If so, this could be the role for you. The Analyst of Digital Solutions team will be responsible for writing complex SQL queries per business requirements and ensuring the validity of data being provided. In this role, you will create ad-hoc reports in MS Excel or Tableau/PowerBI for delivering the data to business analysts and/or business owners. More specifically, you will: • Assist Senior Manager in Project Management related tasks such as prioritizing of efforts, leading status update calls, providing meeting recaps, and escalation of issues and resolutions. • Design, develop, and test complex SQL queries and store procedures that are outside of canned reports, based on specific parameters to allow for ongoing flexibility • Develop data modeling concepts to put into meaningful views for smoother reporting capabilities • Perform analysis and validation of the data being queried for internal and external clients to ensure accuracy and consistency • Interact with business analysts and/or business owners to clarify requirements and ensure that finalized data/reports meet end-user needs • Assist internal and external users with data mapping for ad hoc reporting, and help them understand the relationships of data warehouse tables • Troubleshoot reporting issues and resolve end-user reporting problems through collaboration between multiple functional teams promptly • Review existing queries and store procedures and identify areas for performance improvements, and rewrite if needed • Identify opportunities that ad-hoc reports should be converted canned reports, work with Sr. Analyst and Manager to convert ad-hoc report requirements to canned report design, and pass to Business Intelligence (BI) developer to implement and push to production for BI dashboard release • Maintain and run regularly scheduled canned reports and distribution for end-user consumption. • Perform other reporting duties as assigned What are we looking for? We believe the success in this role will demonstrate itself through the following attributes and skills: • Strong organizational experience, along with detail-orientated, multitasking, and time management skills • Problem solver who can resolve issues optimally and creatively while maintaining a high level of flexibility, professionalism, and integrity • Self-starter with a work demeanor that exhibits flexibility, drive, and dependability • The ability to prioritize and undertake multiple projects and critical tasks with contending pressures in a fast-paced environment To fulfill this role successfully, you should demonstrate the following minimum qualifications: • Bachelor Degree in Computer Science or a related field • Two (2) years of experience in developing complex SQL queries • Demonstrate a strong understanding of relational databases and the SQL server platform like SSIS • Advanced Microsoft Excel skills (vlookup, functions, etc.) It would be helpful in this position for you to demonstrate the following capabilities and distinctions: • Experience with a Business Intelligence tool (e.g. Tableau, MicroStrategy, PowerBI, CognosBI, Spotfire) and report development • Supply chain management knowledge

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Senior Data Scientist Key Responsibilities: Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders. Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team. Design, develop, and deploy Generative AI models and solutions that meet specific business needs. Build and optimize search applications using RAG pipelines. Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance. Minimum Qualifications: 10+ years of experience in IT. Proficiency in Python for data analysis, model development, and deployment. Strong experience with transformer models and fine-tuning techniques for large language models (LLMs). Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering. Knowledge of various RAG pipelines and their practical implementation. Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning. Desired Qualifications: Healthcare and Life Sciences experience. Location: Dallas, TX (100% Remote) Salary Range: The salary for this position is between $120,000 - $130,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Job Description: Enterprise Data Modeler The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models, data flows. Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata. Responsibilities: • Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. • Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. • Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model. • Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. • Perform data profiling/analysis activities that helps to establish, modify and maintain data model. • Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. • Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. • Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables. • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. • Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. · Ensure that data strategies and architectures are in regulatory compliance. • Good knowledge of applicable data privacy practices and laws. • Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language. • Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks Notes: *Local Richmond, VA candidates required *Candidate will be required to interview ONSITE, NO exceptions *Candidate will be required to work ONSITE 2-3 days/week. Regards, Hari C ***********************

Hi Everyone , Hope you are doing great! Please find the below Data Analyst Full time requirement and let me know if you are interested. Role: Data Analyst Full time Only : USC/GC Required Skills & Experience: 2+ years of experience in healthcare data analysis, with a strong preference for experience with Medicaid/Medicare programs. Proficiency in SQL for data extraction, transformation, and analysis. 2+ years of experience with data visualization tools (Power BI, Tableau) for dashboard development and reporting. Experience with GIS/mapping tools (ArcGIS, QGIS) for geographic access analysis. Knowledge of healthcare compliance and quality metrics. Key Responsibilities: Data Analysis & Reporting: Conduct in-depth analysis of large and complex healthcare datasets to identify trends, patterns, and anomalies related to member utilization, provider performance, and program effectiveness. Develop and maintain interactive dashboards and reports using tools like Power BI and Tableau to monitor key performance indicators (KPIs) and track progress towards program goals. Analyze provider network data to assess adequacy, identify gaps in service delivery, and support network development initiatives. Statistical Modeling: Utilize statistical techniques (e.g., regression analysis, predictive modeling) to forecast trends, identify risk factors, and inform data-driven decision-making. Compliance & Quality Monitoring: Support compliance efforts by analyzing data to identify potential issues and track key performance metrics related to quality of care, member satisfaction, and regulatory requirements. Prepare and submit required reports to state and federal agencies. Geographic Access Analysis: Utilize GIS tools (e.g., ArcGIS, QGIS) to analyze geographic access to care, identify underserved populations, and support the development of effective service delivery models. Project Support: Collaborate with cross-functional teams (e.g., clinical, operations, network development) to support the successful implementation and ongoing management Participate in special projects and ad-hoc analyses as needed. Qualifications: Master's degree in Analytics, Statistics, Healthcare Administration, Public Health, or a related field. Strong analytical and problem-solving skills with the ability to translate data into actionable insights. Excellent communication and presentation skills with the ability to effectively communicate complex data to both technical and non-technical audiences. Strong teamwork and collaboration skills with the ability to work effectively within cross-functional teams. Proficiency in Microsoft Excel and other data analysis software. Experience with Python or R (preferred).

Job Title: Senior Data Science Analyst Job Duration: 12 Months Only W2 Accepted Candidate will go through the process of Export Control Clearance preference for US Permanent Residents (Green Card Holders) or US Citizens to be submitted. Alternate weeks in Richmond VA office; other weeks remote. (5 days in office, 5 days remote, repeating). Local candidates strongly preferred No 100% remote Overtime may be required based on project needs. Qualifications Education: Bachelors or higher preferred Discipline: Computer Science, Information Systems, Mathematics Skills and Experience At least 5 years of experience in Data Science using R/Python etc. on Hadoop platform Strong skills in statistical application prototyping with expert knowledge in R and/or Python development Design machine learning projects to address business problems determined by consultation with business partners. Work on a variety of datasets, including both structured and unstructured data. Deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems Extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering Understanding and experience working on Big Data Ecosystems is preferred: Hadoop, HDFS, Hive, Sqoop, Spark: py Spark, SparkR, Spark SQL, Jupyter & Zeppelin notebooks Understanding and/or Experience with data engineering is a plus Experience with cloud technologies (AWS, Azure, GCP, Snowflake) is big plus Create Interpretable visualizations that tell a story and paint a vision

About Us: Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs. We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!! Client - Virginia Department of Transportation (VDOT) Duration - 12+ Months Location - 1401 E Broad St, Richmond, VA Job Nature - Hybrid (2 to 3 Days Onsite in a week) About the Role: The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models, data flows. Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata. Responsibilities: Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model. Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. Perform data profiling/analysis activities that helps to establish, modify and maintain data model. Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. Perform data profiling and analysis for maintaining data models. Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution. Implement business rules for data reconciliation and deduplication. Enforce data models and naming standards across deliverables. Establish processes for governing the identification, collection, and use of corporate metadata. Take steps to assure metadata accuracy and validity. Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Required Skills: Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. - 10 Years Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. - 10 Years Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect th - 10 Years Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. - 10 Years Perform data profiling/analysis activities that helps to establish, modify and maintain data model - 10 Years Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. - 10 Years Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol - 10 Years Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables. - 10 Years Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity - 10 Years Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. - 10 Years Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. - 10 Years

Required Skills: Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.). Basic Knowledge on software development principles and architecture. Good analytical and problem-solving abilities. Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods. Familiarity with programming for data analysis; ideally Python, SQL, or R. Solid oral and written communication skills, especially around analytical concepts and methods. Great work ethic and intellectual curiosity. Knowledge of Cloud technologies such as AWS or Google Cloud. Knowledge of any relational database such as My SQL. Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 900 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. Responsibilities: • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify the cause and effect in the ecosystem, identify business opportunities and to drive member value and customer success. • Develop methodologies to enhance LinkedIn's product and platform capabilities. • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 3+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills • Machine Learning • Research • Causal Inference You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $134,000.00 to $221,000.00 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. 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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 LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

12+ Yrs of overall experience in ETL architecture, solutioning, design and implementations using IBM Infosphere DataStage Excellent hands-on experience with ETL Design and frameworks using IBM InfoSphere DataStage Good hands-on experience in any Data Lineage tools Good hands-on experience in Migration/Upgrade from OnPrem DataStage to Cloud Pak for DataStage Excellent understanding of ETL best practices and standards in general and specific to IBM InfoSphere DataStage Excellent knowledge of ETL Performance optimization techniques in IBM InfoSphere DataStage Experience with ETL implementations across multiple versions of IBM InfoSphere DataStage specifically v11.x required. At least two end-to-end DataStage version upgrade/migration project experience specifically v8.x -> v11.x. Good hands-on knowledge and experience in SQL Excellent hands-on experience with UNIX/Linux Shell Scripting Good hands-on experience in Java Experience in handling stake holders in solving their problems / providing solutions

Candidates must be residents of DC, MD, or VA. Daily Responsibilities: This senior-level position is instrumental in designing, updating, and maintaining mission-critical systems. Ability to thrive in a fast-paced, dynamic, and high-visibility IT system environment. Translate business needs into long-term architecture solutions. Design new architectures, re-design existing architectures, and develop the database code to create the data structures. Develop data warehousing blueprints, evaluate hardware and software platforms, and integrate systems. Review and develop object and data models and the metadata repository to structure the data for better management and quicker access. Define, design, and build relational and dimensional databases and implement all database objects including schemas, tables, clusters, indexes, views, sequences, packages, and procedures based on system requirements. Design, create, deploy, and manage how data is stored, consumed, integrated, processed, and used by different data entities and IT systems, both Cloud and on-premises applications as well as other applications using or processing the data in some way. Create data flow diagrams and other architecture-related documentation and operational /manuals. Manage input of various data sources, define database architecture, develop database code, construct, and maintain ETL-based processes, design database reports. Create code to construct, access, and modify databases using stored procedures, triggers, and functions and implement and optimize queries and stored procedures. Expert data migration expertise and knowledge with data profiling and migration tasks. Perform data access analysis, design, and archive/recovery design and implementation, especially in a Microsoft SQL Server environment. Develop strategies for data acquisitions, archive recovery, and implementation of a database. Provide guidance and support to all technical positions including system architects, developers, and database administrators. The requirements as stated above reflect industry standards. Required Education & Experience: Education: BS/BA degree in Computer Science, Information Sciences, or related IT discipline OR Allowable Substitution: Additional ten (10) years of related professional experience can be substituted for a BS/BA degree. Experience: 10 years of professional experience in database architecture 12 years related to the software development field. At least 3 years of experience managing data integration between SaaS solutions and between SaaS and .NET applications. The ability to thrive in a fast-paced and high-visibility IT environment is paramount. Possesses basic Salesforce knowledge. Experience translating business requirements into architectural solutions and illustrating/documenting the architecture. Hands-on experience supporting the Oracle database in a cloud environment, preferably for the Salesforce platform on the Amazon Web Services (AWS) Cloud. Expert-level knowledge of Microsoft SQL Server. Hands-on integration experience using SQL Server Integration Services (SSIS) package. Expertise in designing, creating, deploying, and managing how data is stored, consumed, integrated, processed, and used by different data entities and IT systems, both Cloud and on-premises applications as well as other applications using or processing the data in some way. Expert with data definition language to create, code, and implement relational and dimensional database objects, complex stored procedures, functions, triggers, and data access controls. Expert in a data warehouse environment, which includes data design, database architecture, and metadata repository creation. Experience reviewing, deciphering, testing, and troubleshooting database structures, complex stored procedures, functions, and triggers to structure the data for better management and quicker access. Experience masking and replicating large data sets (for privacy and testing purposes) using enterprise tools. Expert in backup integrity and disaster recovery situations. Enforce change management processes in each environment Experience with Copado for Salesforce DevOps preferred. Experience with C#, rest API, and XML skills are a plus. The minimum experience and education requirements for this position are due to the complexity, at the program level, of the tasks at hand. Preferred Certifications: Salesforce Certified Administrator Salesforce Certified Service Cloud Consultant Clearance: Secret or Ability to obtain Secret Clearance

IMSolutions seeks a Lead Business Analyst (Acquisition Systems) to fill an exciting opportunity supporting the federal government. The ideal candidate must be within the DMV area, as this role is onsite in Falls Church, VA. As a Lead Business Analyst (Acquisition Systems), you will manage large projects in complex organizations, crossing multiple business units with stakeholders with diverse and conflicting needs. This will require complex reporting and communication at the agency and executive levels. These functions include: Demonstrated knowledge and experience with the software development lifecycle. Ability to visualize and articulate complex concepts and solve complex problems. Extensive knowledge of Integrative Acquisition Environment and DOD acquisition system policies and procedures. Providing expert technical advice, staff coordination, and consultation to formulate guidelines, implement new developments, and provide expert interpretation. Demonstrated exceptional written and oral communication skills, including the ability to give formal presentations to diverse audiences. You will be: Self-motivated, quick, and assertive. Highly detailed oriented and organized, with exceptional time management skills. Able to work well under pressure and comfortable with dynamic environments' change and complexity. Required Job Qualifications: Bachelor's Degree in Computer Science, Information Systems, or Business. One year of related work experience may be substituted for each year of required education Ten (10) years of experience in project management in large-sized projects in complex organizations, crossing multiple business units with stakeholders with diverse and conflicting needs, requiring complex reporting and communication at the agency and executive levels. Five )5) years of experience or understanding of Project Management, Estimation, and Planning, the procurement field in the public and/or private sector and implementing ERP solutions in the public and/or private sector. Five (5) years of experience in Project Management in DoD/Military Health Systems-related areas. Five (5) years of experience with IT systems functional analysis, requirements design, test development, and test execution. Knowledge of the General Fund Enterprise Business System (GFEBS). Must be proficient in using the Microsoft suite of applications, including Word, Excel, PowerPoint, Outlook, Project, and Adobe Acrobat. Preferred Job Qualifications: Master's Degree (ten years of experience may be substituted with an Advanced Degree) Base compensation range and benefits: $105,000 to $125,000 - Actual compensation is subject to variation due to such factors as education, experience, skillset, and location. Outstanding medical, dental, vision, Tri-Care Supplement, HSA, FSA, insurance (STD, LTD, life, AD&D, voluntary life, accident, hospitalization, critical illness), EAP, and additional discounts! IMS jobs are posted as open until filled. Who we are, IMSolutions is a rapidly growing woman-owned, veteran-owned Virginia-based management consulting company. We specialize in providing innovative and cost-competitive business and program management solutions to our clients across the public sector. Primarily, our support encompasses assisting clients in acquiring mission-critical capabilities, including developing holistic program strategies for successfully inserting technologies to achieve material solutions efficiently and expeditiously. At IMSolutions, LLC (IMS), service to our clients, each other, and communities is central to everything we do. We understand, comprehend, and appreciate that people with diverse backgrounds, experiences, and points of view lead to better and more comprehensive ideas and solutions. Our IMS culture and commitment to difference and inclusivity help us grow as individuals and in partnership with our clients to drive our unparalleled solutions and customer experience. Equal Employment Opportunity IMS is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration regardless of race, color, religion, sex, ethnicity, national origin, sexual orientation, gender identity, age, marital or family status, disability, or status as a protected veteran. IMS is a federal contractor that desires priority referrals of protected veterans for job openings. IMS is an E-Verify Employer. If you cannot complete this application due to a disability, contact us to ask for accommodation or an alternative application process. Trina Campbell (tcampbell at imsolutionsllc.com)

Interview mode: In Person Only 4 days/week ON SITE. Parking not provided. ABOUT THE ROLE **The proper candidate will have experience in a recognized Electronic Health Record system. Our vendor is a Corrections specific vendor, thus we do not expect candidates to be familiar with our chosen EHR system. Designs, develops, configures, implements, and supports the VADOC Electronic Health Record (EHR) implementation and solution in compliance with CTSU Application Lifecycle Management (ALM) guidelines and established project management, quality policies and standards to ensure user requirements are met. Provides technical leadership, estimates, technical training, process engineering and technical guidance to staff. Assists with software design documents Knowledge, Skills, Abilities or Competencies: Minimum: Knowledge of the Application Lifecycle Management methodology and the principles and techniques of technical system analysis, design, development, configuration and support. Documentation skills of various workflow processes based on various health standards and implementations. Abilities to customize, evaluate, configure, analyze, and document the VADOC EHR system and business workflows. Providing of technical training and support in various health care settings. Additional Considerations: A college level degree in Computer Science, Information Systems, Health Informatics or related curriculum is desired; however, related experience may substitute. Direct experience with system/technical configuration is required. Experience in the field of health care or business administration and/or electronic healthcare technology is highly desired. Designs, develops, configures, implements, and supports the VADOC Electronic Health Record (EHR) implementation and solution in compliance with CTSU A Required 5 Years Assists with software design documents and diagrams. Familiar with agile development methodologies. Required 5 Years Knowledge of the Application Lifecycle Management methodology and the principles and techniques of technical system analysis, design, development, co Required 5 Years Documentation skills of various workflow processes based on various health standards and implementations. Abilities to customize, evaluate, configure,

What Working at Hexaware offers: Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware's commitment towards creating smiles. “At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.” We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion-the driving force that makes one smile and innovate, create, and make a difference every day. Job Description: Hexaware is currently seeking a dedicated Data/System Analyst to lead our infrastructure projects in McLean, VA (Day 1 Onsite 3 Days onsite 2 Days Remote) The ideal candidate will exhibit: We are seeking a highly skilled and technically proficient System Analyst to join our dynamic team. The ideal candidate will have a strong background in system analysis and design, with extensive experience in XML, JSON, GraphQL, and SQL. This role requires a detail-oriented professional who can effectively analyze complex systems and provide innovative solutions to enhance our technological infrastructure. Key Responsibilities: Analyze and evaluate complex systems to identify areas for improvement and optimization. Design and implement system solutions that meet business requirements and improve operational efficiency. Utilize XML, JSON, and GraphQL to develop and integrate data exchange solutions. Write and optimize SQL queries for data retrieval, manipulation, and reporting. Collaborate with cross-functional teams to ensure seamless integration of new systems and technologies. Provide technical expertise and support to team members and stakeholders. Document system specifications, processes, and workflows to ensure clarity and consistency. Stay updated with the latest industry trends and technologies to drive continuous improvement. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a System Analyst or similar role with a strong technical focus. Proficiency in XML, JSON, GraphQL, and SQL. Strong problem-solving skills and attention to detail. Excellent communication and interpersonal skills. Ability to work independently and as part of a team in a fast-paced environment. Experience with system integration and data exchange processes. Preferred Skills: Familiarity with additional programming languages or technologies. Experience in project management or leading technical projects. Knowledge of cloud-based systems and services. Equal Opportunities Employer: Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply. Find out more at Hexaware.com.