Data modeler jobs near me

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

Akkodis is seeking a Full Stack Data Engineer for a Contract job with a client in Mclean VA . Ideally looking for applicants with a solid background in the financial services industry . Full Stack Data Engineer Rate - $65/h-$68/hr on W2 /C2C but the rate may be negotiable based on experience, education, geographic location, and other factors. Skill Sets - Python, AWS (Lambda, Glue, DDB, SQS), Angular, JavaScript, TypeScript, CSS work They will work in Expense Management short term (vulnerabilities, enhanced monitoring, Gen3 migration work, OTEL Migration, and more) where there is a capacity constraint on the current team. Long term the associate will be working on Venture's Lending intent. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ********** /*********************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Data Engineer Clearance: Must be a U.S. Citizen and hold an active DHS Public Trust, preferably Immigration and Customs Enforcement (ICE). Overview: We're seeking a skilled Data Engineer, Database Administrator, or Data Analyst with a strong command of both technical data systems and the nuances of English grammar and composition. This role goes beyond traditional data engineering-it calls for someone who can bring precision, structure, and clarity to metadata standards and documentation. You'll be at the forefront of defining how data is cataloged, interpreted, and accessed across the enterprise, interacting directly with stakeholders to serve as a bridge between complex data systems and the people who rely on them. Key Responsibilities: Design and manage a centralized data catalog that ensures all enterprise data assets are clearly documented, searchable, and aligned with business needs. Develop and apply consistent metadata standards that reflect both technical accuracy and strong language clarity. Partner with data owners, analysts, and IT stakeholders to integrate metadata practices into core platforms, tools, and workflows. Author and refine taxonomies, data definitions, and descriptive content that adhere to grammatical and stylistic conventions to enhance usability. Promote user adoption through training, documentation, and support resources tailored to varying levels of data literacy. Serve as a champion of data governance by aligning metadata efforts with organizational policies and compliance needs. Monitor the quality and completeness of metadata, implementing strategies for improvement where needed. Evaluate and recommend tools to support cataloging and metadata initiatives, ensuring they align with the organization's data ecosystem. Contribute to data integration and migration efforts, ensuring new assets are cataloged appropriately and follow metadata standards. Stay current with trends in data literacy, cataloging tools, and metadata management best practices to drive continuous improvement. Required Qualifications: Bachelor's degree in Data Science, Computer Science, Information Management, or a related discipline. 6+ years of experience in data engineering, metadata management, or database administration, with at least 2 years of direct responsibility for data cataloging or stewardship. Knowledge in the creation of physical, conceptual and logical data models at both the system and enterprise level. Proficiency with database and data analysis platforms, such as Oracle, PostgreSQL, MS SQL Server and Databricks, including experience in data integration, querying, and performance optimization across these environments. Knowledge of the IT systems development life cycle and extensive practical experience in developing and maintaining software Strong SQL and data modeling background, with familiarity across structured and semi-structured data sets. Outstanding writing and editing skills, with the ability to create clear, concise metadata descriptions using consistent style and tone. Demonstrated ability to work across departments and communicate effectively with both technical and non-technical audiences. Preferred Qualifications: Hands-on experience with Collibra as a core metadata management and data cataloging platform. Experience in enterprise data migrations, system integrations, or cloud data platforms. Exposure to information architecture or technical writing standards. Experience in the creation of IT data exchanges that adhere to National Information Exchange Model (NIEM)-based data structures and architectures, as well as experience in the creation of NIEM Domains. Experience in implementing automated testing and DevOps or DevSecOps Knowledge of industry frameworks such as DAMA-DMBOK, DCAT, or ISO 11179. About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way IT applications shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge IT solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. ************* Why Indev: Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged. Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale. Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference. Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth. Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set. Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape. If you're ready to embark on a journey of innovation, collaboration, and impact, Indev welcomes you to join our team. Let's shape the future together.

hackajob on-demand focuses on matching talented contractors like you with organisations seeking specific skills for their projects. We use our platform to connect you with exciting contract opportunities and discuss projects on behalf of the companies we partner with. What You'll Get to Do: Solve challenging problems using data science and advanced machine learning methods. Apply data science techniques to process and wrangle data in preparation for analysis; and analyse big data and perform exploratory analysis to uncover insights and identify innovative opportunities. Leverage machine learning techniques, to explore and examine data from multiple disparate sources to provide a competitive advantage or address a pressing business problem. Define approaches to embed and scale machine learning models with senior data scientist oversight Assist on client pitches and proposals for machine learning projects Work on difficult engineering problems with scientists and business leaders with minimal engineering or data science backgrounds. Work with the data science team to build reusable assets, solutions and develop best practices for current and future business problems. Work with the engineering team to develop end to end production ML systems Staying up to date on the latest machine learning capabilities. Work with other analysts to utilize analytics to solve business problems in various areas within financial services, like capital markets, wealth management, asset management, fraud, AML, process mining, customer centricity, risk management, talentology etc. What You'll Bring with You: 7+ years of relevant experience in analytics, business intelligence, data engineering, or related field 5+ years of demonstrated experience in building enterprise grade BI applications using tools such as: QlikSense, QlikView, Tableau or Looker Mujstg have PySpark and Snowflake experience Experience working in large data warehouse environments Bachelor's degree in a quantitative area such as math, statistics, computer science, engineering, or equivalent experience Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams Experience in using of Oracle SQL tools for data analysis is required Candidates having strong experience in Data Mapping, Data Migration and system integration projects with knowledge of Wealth Management and related investment products. Would be a plus, with knowledge in any of the Wealth Management products like TCS BaNCS PySpark and Snowflake are must haves Desirable skills Financial services industry experience Experience with data visualisation tools (Tableau, QlikView etc) Experience with Informatica, ETL, Databricks

Resource 1 is in need of a Sr. AI Data Engineer for a full-time/ permanent position with our client in Naperville, IL. This position can be worked 100% remotely from anywhere in the U.S. Our client is an employee-owned company with excellent benefits, growth opportunities and profit-sharing bonus. This position will be split 70% AI development/ 30% data engineering, supporting the development and deployment of AI use cases including chatbots, RAG pipelines and process automation. Selected individual will work within cross-functional Agile teams, collaborating with product owners, business analysts and other engineers to design and deliver data solutions that power business insights and AI products. Responsibilities: Develop and support both ongoing AI initiatives and new POCs using LLMs, RAG pipelines and vector databases to enable chatbots, OCR, RPA (Power Automate) and predictive analytics. Partner with existing AI specialists to experiment with pre-trained models and build POCs for new AI use cases. Design, develop and maintain modern data pipelines for ingestion, transformation and integration using AWS services and Python. Write efficient SQL queries, stored procedures and functions in PostgreSQL and Redshift. Collaborate with product owners and analysts to translate business requirements into technical solutions. Participate in two-week sprints, contributing to coding, grooming and requirement workshops (75% hands-on coding, 25% collaboration). Manage infrastructure through infrastructure-as-code templates (Serverless Framework), supporting new data products and services in AWS. Support inbound and outbound data flows, including APIs, S3 replication and secure data sharing. Qualifications: 5+ years of data engineering experience. Foundational understanding of LLMs, RAG and vector search, and hands-on experience using tools like ChatGPT or Claude. Knowledge of RPA tools such as Power Automate and AI-based automation use cases. Knowledge of model manipulation, augmentation and data indexing. Experience with AWS and its associated array of offerings (Glue, Redshift, Athena, S3, Lambda, Spectrum). Strong experience with SQL, Python and PySpark. A background in supply chain, logistics or distribution would be a plus. Experience with Power BI is a plus.

Come Find Your Spark at Quartz! The ETL Architect will be responsible for the architecture, design, and implementation of data integration solutions and pipelines for the organization. This position will partner with multiple areas in the Enterprise Data Management team and the business to successfully translate business requirements into efficient and effective ETL implementations. This role will perform functional analysis, determining the appropriate data acquisition and ingestion methods, and design processes to populate various data platform layers. The ETL Architect will work with implementation stakeholders throughout the business to evaluate the state of data and constructs solutions that deliver data to enable analytics reporting capabilities in a reliable manner. Skills this position will utilize on a regular basis: Informatica PowerCenter Expert knowledge of SQL development Python Benefits: Opportunity to work with leading technology in the ever-changing, fast paced healthcare industry. Opportunity to work across the organization interacting with business stakeholders. Starting salary range based upon skills and experience: $107,500 - $134,400 - plus robust benefits package. Responsibilities Architects, designs, enhances, and supports delivery of ETL solutions. Architects and designs data acquisition, ingestion, transformation, and load solutions. Identifies, develops, and documents ETL solution requirements to meet business needs. Facilitates group discussions and joins solution design sessions with technical subject matter experts. Develops, implements, and maintains standards and ETL design procedures. Contributes to the design of the data models, data flows, transformation specifications, and processing schedules. Coordinates ETL solution delivery and supports data analysis and information delivery staff in the design, development, and maintenance of data implementations. Consults and provides direction on ETL architecture and the implementation of ETL solutions. Queries, analyzes, and interprets complex data stored in the systems of record, enterprise data warehouse, and data marts. Ensures work includes necessary audit, HIPAA compliance, and security controls. Data Management Collaborates with infrastructure and platform administrators to establish and maintain scalable and reliable data processing environment for the organization. Identifies and triages data quality and performance issues from the ETL perspective and see them through to resolution. Tests and validates components of the ETL solutions to ensure successful end-to-end delivery. Participates in support rotation. Qualifications Bachelor's degree with 8+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP (Online Transaction Processing) environments, semantic layer modeling experience, and SQL programming experience. OR associate degree with 11+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP environments, semantic layer modeling experience, and SQL programming experience. OR high school equivalence with 14+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP environments, semantic layer modeling experience, and SQL programming experience. Expert understanding of ETL concepts and commercially available enterprise data integration platforms (Informatica PowerCenter, Python) Expert knowledge of SQL development Expert knowledge of data warehousing concepts, design principles, associated data management and delivery requirements, and best practices Expert problem solving and analytical skills Ability to understand and communicate data management and integration concepts within IT and to the business and effectively interact with all internal and external parties including vendors and contractors Ability to manage multiple projects simultaneously Ability to work independently, under pressure, and be adaptable to change Inquisitive and seek answers to questions without being asked Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability. We can recommend jobs specifically for you! Click here to get started.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Business Analyst, Data in the United States. In this role, you will lead data-driven initiatives that deliver measurable business impact across the organization. You will combine strategic business analysis with agile project management to define, scope, and execute data solutions while ensuring alignment with organizational objectives. This position requires translating complex business needs into actionable data requirements, collaborating with cross-functional teams, and driving adoption of data solutions. You will play a key role in enhancing data governance, improving reporting accuracy, and facilitating decision-making through actionable insights. The role offers exposure to cutting-edge analytics tools and cloud platforms while fostering collaboration across stakeholders, ensuring projects are delivered on time and aligned with business priorities. Accountabilities Lead the planning, execution, and delivery of data initiatives, ensuring alignment with business objectives. Define project scope, goals, deliverables, and success metrics for data-driven solutions. Gather and document functional and technical requirements for dashboards, reports, data pipelines, and integrations. Collaborate with data engineers, analysts, and product owners to validate feasibility and ensure effective solution design. Oversee project schedules, risk mitigation, and interdependencies, facilitating timely delivery of data solutions. Implement and maintain enterprise-wide data governance frameworks, ensuring data quality, consistency, and compliance. Provide leadership and guidance to internal and external project teams, managing workloads, accountability, and performance. Requirements 3-5 years of experience in business analysis, project management, or related roles with exposure to data, reporting, or analytics projects. Strong understanding of data management, reporting, and decision-support processes. Experience with Agile methodologies and tools such as JIRA, Confluence, and Power BI/Tableau. Ability to translate technical concepts into clear, business-friendly language. Bachelor's degree in Business, Data Analytics, or related field preferred. Certification in Business Analysis (CBAP, PMI-PBA) or Agile methodologies is a plus. Familiarity with cloud platforms (Azure, AWS, GCP) and modern data integration tools (e.g., Azure Data Factory, Informatica, Talend) is desirable. Excellent communication, stakeholder management, and leadership skills. Benefits Competitive salary range: $80,000 - $100,000 annually. Comprehensive health coverage including medical, dental, vision, life, and disability insurance. Financial benefits including 401(k), ESPP, tuition reimbursement, and student loan assistance. Mental health support and wellness programs. Paid time off, holidays, and flexible work arrangements. Additional perks and preferred partner discounts. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

At Fusion Connect, we're not just offering jobs - we're building careers that empower, inspire, and grow with you. If you're passionate about making an impact, collaborating with forward-thinking teams, and being part of a company that values your voice, you're in the right place. We're thrilled you're exploring this opportunity with us - take a look, imagine the possibilities, and let's shape the future of connectivity together. Summary: The Business Data Analyst uses data to uncover insights that enhance customer experience and drive operational excellence. This role bridges the gap between analytics and action, helping leaders understand what drives satisfaction, retention, and growth across our customer base. The ideal candidate brings hands-on technical expertise with SQL, Tableau, and Power BI, along with a passion for translating data into stories that improve how we serve our customers. You'll work cross-functionally with teams in Customer Experience, Sales, Operations, and Finance to provide visibility into key business metrics and guide data-informed decision-making. Job Description: Essential Duties and Responsibilities include the following (other duties may be assigned): Design, maintain, and enhance Tableau and Power BI dashboards that deliver insight into customer health, churn, NPS, and service performance. Use SQL to extract, join, and analyze data across multiple systems (Salesforce, customer feedback platforms, data warehouses). Partner with business stakeholders to define, track, and evolve key customer and operational KPIs. Conduct ad hoc analyses that inform CX strategy, operational improvements, and leadership initiatives. Develop and maintain data models and reporting structures to ensure accuracy, consistency, and repeatability. Collaborate with IT and Data Engineering to optimize data pipelines and automate recurring reports. Present clear, actionable insights to executives and non-technical teams-helping the business turn data into decisions. Contribute to a culture of data literacy within the Customer Experience organization. Knowledge, Skills and Abilities Requirements: Strong SQL skills for querying and data manipulation (experience with views, stored procedures, and performance tuning). Proficiency in Tableau and/or Power BI, including dashboard design, data modeling, and interactivity (certifications preferred). Experience with Salesforce data and reporting; exposure to customer feedback systems (e.g. SurveyMonkey) or CS platforms (e.g. Gainsight) are a plus. Solid understanding of CX metrics-NPS, CSAT, churn, retention, and lifecycle analytics. Familiarity with ETL processes or data automation tools (Alteryx, Power Automate, Airflow, etc.). Excellent data storytelling and visualization abilities; able to communicate complex findings clearly and confidently. Knowledge of Python, R, or advanced Excel for data analysis is a plus but not required.

This is a remote position. There is limited expectations for regular in-person, in-office activities. You're not the person who will settle for just any role. Neither are we. Because we're out to create a better world, and that takes a certain kind of person and teams who care about making a difference. Here, you'll bring your professional expertise, talent, and drive to be HR360's new Business Analyst III. The Business Analyst will work closely with HR360's internal and external stakeholders to turn data into information and knowledge that can be used to make sound business decisions. This data helps drive improvement in key business metrics, stakeholder experience and business results. The Business Analyst will also interact with various development teams, project managers, senior management, and external vendors. This individual understands how data is turned into information and knowledge, and how the knowledge supports and enables key business processes. The Business Analyst must develop an in-depth understanding of the business environment and possess both strong analytical and communication skills. Further, the Business Analyst must work well within a team environment. The Business Analyst III has advanced experience in performing business case analyses which measures/quantifies the impact and effectiveness of specific programs and performance. The Business Analyst III works cross functionally and directly supports department leaders in the development, analysis and interpretation of HealthRIGHT's scope of business. Key Responsibilities Provide analytical expertise to leadership in areas critical to the organization's overall strategy and performance. Possess an in-depth understanding of business strategy, processes, services, roadmap, and context in which the business operates to identify opportunities and direct projects. Recommend solutions in areas critical to organization's overall and service line performance to inform agency decisions, strategy, and tactics. Collect, understand, and translate stakeholder requirements into actionable parameters for projects. Design and implement business solutions by building relationships and partnerships with key stakeholders. Develop Return On Investment (ROI) analysis for new strategies to improve organization performance. Maintain clear, accurate project documentation including the development of business cases, proposals, and summaries using project management methodologies. Identify risks and mitigate threats by managing issues and resolutions. Exhibit leadership for business analysts, and broader organization where appropriate. Act as critical liaison between business, technical, program and support teams translating technical ideas and analytical results to non-technical peers and stakeholders across all levels of the organization. Produce understandable reports and presentations that describe and communicate complex findings for a variety of technical and non-technical audiences. Write SQL queries to develop, implement, and utilize databases and reporting tools to extract data, using data analysis programs. Visualize data using Power BI, Excel, or other visualization programs. Check ticking system for incoming requests; provide customer-centered, primary line of support for report/dashboard problems, data requests and other issues. Provide solution by researching problems and questions, diagnosing, troubleshooting, and applying available information and resources. Attend staff meetings, in-service meetings and participate in agency committees and task force activities as required. Demonstrate respectful, professional and appropriate behavior that supports a team oriented work environment. Demonstrate a commitment to the mission, core values and goals of HealthRIGHT 360 including the ability to integrate values of justice, respect, compassion, excellence and stewardship into appropriate programs and services. Other duties as assigned by supervisor. Education and Knowledge, Skills and Abilities Education, Certification, and Experience Required: Bachelor's degree in a quantitative discipline such as Mathematics, Epidemiology, Metrics and Evaluation or Statistics, or equivalent 5 years or more of relevant experience. Proven analytical and quantitative skills, including experience with managing and modeling of large data sets, required. Desired: Master's degree in Public Health, Health Analytics/Informatics or related preferred. 5-7 years of experience analyzing data in a healthcare environment preferred. Intermediate experience with or knowledge of data visualization techniques. Established business acumen including understanding of market dynamics, financial/budget management, data analysis and decision-making. Healthcare coding conventions and health plans experience a plus. 3+ years of experience designing, writing, and maintaining Epic reports and dashboards desired. Certification or knowledge of Epic Cogito, Caboodle data model, SlicerDicer, or Clarity data model a plus. Background Clearance: Must not be on active parole or probation, clear with OIG database. Ability to obtain and maintain satisfactory background check. Knowledge Required: Advanced ability to operate computers and related software programs including Word, Excel, Outlook and other Microsoft Office applications. Experience writing SQL queries to develop, implement, and utilize databases and reporting tools to extract data. Experience conducting analyses using data analysis programs. Experience visualizing data using Power BI, Excel, or other visualization programs. Demonstrated healthcare experience in quantifying, measuring and analyzing financial and utilization metrics of healthcare. Skills and Abilities Required: Ability to read, analyze, and interpret common industry related journals, financial reports, and legal documents. Ability to respond to common inquiries from customers, regulatory agencies, or members of the business community. Ability to effectively present information to top management, clients, and/or external groups. In compliance with the California Department of Public Health's mandate, all employees must be able to provide proof of COVID-19 vaccination. Medical and religious exemptions are available. We will consider for employment qualified applicants with arrest and conviction records.

Paychex is seeking an experienced Business/Data Analyst to work in a dynamic agile team environment. The Business/Data Analyst will be part of a technically diverse Support team supporting Centers for Medicare and Medicaid Services (CMS) via the Integrated Data Repository (IDR) contract. The Integrated Data Repository (IDR) is a high-volume data warehouse integrating Parts A, B, C, D, and DME claims, beneficiary and provider data sources, along with ancillary data such as contract information, risk scores, and many others. In this role, a typical day will include: Continuous and improved information sharing with CMS Stakeholders and IDR users Simplified User Onboarding and system access processes Enhancing data quality and integration with other systems Strengthening query and analytic capabilities through constant and iterative enhancements Proactive evaluation and testing of tools/services to better support Analytical use cases Solicit, define, and manage requirements and scope for CMS projects Create, maintain, and support the distribution of applicable project-related artifacts including requirement documents, user stories, source to target mapping document, System User Guides, Operations Manuals, and Interface Control Documents Prepare in-depth flow charts, models, and procedures along with conducting feasibility studies to design possible system solutions. Interact with internal and external stakeholders including business owners, developers, and scrum team members. Work closely with the test team to ensure that the requirements are implemented and tested as they are written. Required Qualifications: Bachelors Degree in a related business or technical discipline, or the equivalent combination of education, technical training, or work/military experience. 8+ years of work experience, with at least 5 years of relevant experience as a Business or Data Analyst. Experience working in a business/data analyst team in a complex environment Experience soliciting and defining business and system requirements Experience with IDR Support project Proficiency with utilizing Snowflake to analyze data. Proficiency using Atlassian tools (Confluence, Jira) for task tracking and project documentation. Familiarity with healthcare claims data. Prior experience supporting Centers for Medicare and Medicaid Services (CMS). Candidate must be a US Citizen or Green card holder to be considered for this position. Preferred Qualifications: Experience with the Agile framework Fundamental Architectural Knowledge of Teradata. Comfortable developing how-to and other user facing documentation to support the system user base. Willingness to explore new tools, analyze new data, and in general want to continue expanding skill sets.

Job Description Scope of Work/Job Characteristics The Data Architects, under the working job title of Extract, Transform, Load (ETL) Architects, will serve as the principal line of communication for the project team. The ETL Architects will drive the development of data integration pipelines, enabling efficient, reliable access to critical data within the Correction Information Management System (CIMS) Data Warehouse/Data Lake on Azure. They will work with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Power BI, and Azure Purview. The ETL Architects will be at the forefront of transforming complex data into actionable insights. The ETL Architects will be responsible for ensuring data integrity, security, and performance, all while meeting mission-critical needs. The specific duties and responsibilities of this position are as follows: ETL Pipeline Design and Development: Lead the design and development of high-performing ETL processes to integrate and transform data across disparate sources; Deliver efficient, reliable pipelines that meet business needs and maintain the highest standards of security; and Utilize ADF to automate and streamline data workflows, ensuring smooth transitions from source to target. Data Integration and Transformation: Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting, ensuring data is accurate, timely, and secure; and Take ownership of data quality and validation, creating resilient ETL processes that ensure only trusted data reaches its destination. Cloud Platform Expertise: Leverage the full power of the Azure ecosystem ADF, Databricks, Synapse, and Purviewto manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and performance-optimized; and Integrate large datasets into Azure Synapse Analytics, enabling analytics teams to deliver data-driven insights that support the Departments mission. Performance Optimization: Continuously optimize ETL jobs to minimize latency and maximize throughput; and Ensure the architecture supports fast, reliable data access for end-users and systems, meeting stringent performance metrics. Security and Compliance: Embed security and compliance best practices in every step of the ETL process;. Protect sensitive data by adhering to industry standards and ensuring compliance with the Departments data governance policies; and Use Azure Purview to enforce data governance, track data lineage, and ensure that data handling meets the highest standards of integrity. Collaboration and Stakeholder Engagement: Partner with cross-functional teams (e.g., data engineers, analysts, business stakeholders, and security experts) to design and implement ETL solutions that meet the Departments evolving needs; and Act as a technical leader and mentor, helping guide junior team members and providing expert guidance on data processing and transformation best practices. Documentation and Best Practices: Develop and maintain clear, detailed documentation for ETL processes, ensuring the team can consistently deliver high-quality, reliable solutions; and Establish and enforce best practices for data handling, ETL development, and security, driving a culture of excellence and accountability. Required Qualifications A bachelors degree from an accredited college or university in Computer Science, Information Systems, or a related field is required. Alternatively, equivalent work experience, including experience in Service-Oriented Architecture (SOA) and Microsoft Azure Cloud Solutions, can be substituted for the educational requirement on a year-for-year basis, when applicable. The Department requires the following experience, skills, and knowledge for this position: Seven (7) or more years of experience in ETL development and data engineering; Three (3) or more years of hands-on experience working with ADF, Azure Cloud, Azure Databricks, Azure Synapse Analytics, and Azure Purview; Proven track record of building and optimizing large-scale ETL pipelines for high-performance, high-availability environments; Extensive expertise in Spark, Python, and/or Scala for large-scale data transformations; Strong Structured Query Language (SQL) proficiency and experience working with complex data structures; In-depth knowledge of data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem; and Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards. Preferred Qualifications The Department prefers the Candidates to have the following experience, skills, and/or knowledge for this position: Possession of a Microsoft Office Certification as an Azure Data Engineer Associate, Azure Solutions Architect Expert, and Azure Fundamentals; and Azure Databricks Certification as a Data Engineer Associate. This is a remote position.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides te chnical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description: Job Title: Business data analyst (XML/XMLspy) Location: Frederick MD Duration: 12 Months extendable up to 18 months Looking for W2 candidates Required Qualifications • Ability to evaluate Business Requirement Documents and Rule Requirements to identify data needs • Understanding the Software development lifecycle • Analyze and document detailed source to target data element requirements • Experience performing end to end data validation and testing • Demonstrated understanding of XML and strong experience using XML viewers such as Altova XML Spy • Experience performing complex data research and analysis • Experience with Data architecture and various forms of data management. • Understanding of data flow concepts and data mapping • Experience defining and executing testing scripts. • Facilitate data requirement gathering sessions • Experience with developing queries (SAS, SQL) via database tools • Experience with Rule Based Systems is a plus • Mortgage Origination Industry knowledge • Knowledge of Cobrra/Argent is a plus • 2+ years of experience in compliance, operational risk management (includes legal, credit risk, market risk, or the management of a process or business with accountability for compliance or operational risk), or a combination of both • Intermediate Microsoft Office skills • Experience to define data requirements, document data flows and translations, recommend data testing strategies, create data testing scenarios (Unit, IST, UAT) and perform data testing for source to target data between • Excellent verbal, written, and interpersonal communication skills Additional Information For more information, please contact Pavithra P ************************** ************

Title: Data Warehouse Architect Type: Full-Time Required Skills: Rich experience in Data Warehouse of overall 12+ years of experience into Data Warehouse arena, primarily worked with Informatica products. Should have minimum 4 years of experience as a Data Architect Must have extremely thorough knowledge and experience of utilizing complex transformations in Informatica PowerCenter Should have experience with Informatica suite of products such as MDM, B2B DT Studio, IDQ, etc. Should have worked on varied data sources including flat files, XML files. Experience with Netezza is nice to have. Should be extremely well versed with basic Unix commands. Should be exceptionally strong in SQL Should have minimum of 4 years of experience as a Data Architect Strong knowledge of Autosys and other schedulers. Excellent customer co-ordination skills Thanks & Regards Vik Ariston Tek Inc., 35 Journal Square Ste 805 | Jersey City NJ 07306 Phone Number: ************ Additional Information Thanks & Regards Vik Ariston Tek Inc., 35 Journal Square Ste 805 | Jersey City NJ 07306 Phone Number: ************

· The Lead Data Warehouse Architect/DBA will be responsible for the successful delivery of data warehouse solutions and related components. · The candidate will have strong Data Warehouse Database Design background. · Additionally, OBIEE, ODI, Informatica, PL/SQL, Fusion Middle Ware and other tool experience. · The candidate must also have familiarity with JAVA and various ETL tools. · Design data ingestion components and ETL to collect data from various sources. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data migration/integration quality analyst who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep. Job Summary: This individual will work in team of Quality Assurance Analysts and is responsible for planning and conducting a wide range of quality assurance tasks, specifically targeted at validating accuracy of data migration and integration points. This activity includes analyzing requirements, test planning and strategy, developing and executing tests, evaluating results and reporting, and promoting organizational and product integrity. Must have working knowledge of Microsoft SQL server. Responsibilities: Data Migration Planning Develop and execute migration strategies from legacy to new systems: This requires a deep understanding of both the source and target systems. The specialist must determine the most efficient and effective method for transferring data, considering factors such as data volume, complexity, and downtime requirements. Strategies may include phased migrations, parallel runs, or big-bang approaches. Identify risks, milestones, and quality checkpoints: Proactive risk management is essential for successful data migration. The specialist must identify potential challenges, such as data corruption, system outages, or compatibility issues, and develop mitigation plans. Defining clear milestones and quality checkpoints allows for progress tracking and ensures that the migration stays on schedule and within budget. Data Analysis & Mapping Analyze source and target systems for compatibility: This involves a detailed examination of the data structures, data types, and data formats of both the source and target systems. The specialist must identify any incompatibilities and develop strategies for resolving them. Perform data profiling and mapping to ensure accurate transformation: Data profiling involves analyzing the data in the source system to understand its characteristics, such as data quality, completeness, and distribution. Data mapping involves defining the relationships between the source and target data elements, specifying how the data will be transformed during the migration process. Resolve discrepancies and ensure data integrity: The specialist must identify and resolve any discrepancies, ensuring that the migrated data is accurate, complete, and consistent. This may involve data cleansing, data validation, and data reconciliation. ETL Process Oversight Validate Extract, Transform, Load (ETL) workflows: This involves validating the ETL processes that will extract data from the source system, transform it into the required format, and load it into the target system. Quality Assurance & Validation Develop test plans to verify data accuracy post-migration: The specialist must develop test plans that will verify the accuracy of the migrated data. These test plans should cover all critical data elements and should be designed to detect any errors or inconsistencies. Conduct audits, reconciliations, and exception reporting: Audits involve reviewing the migrated data to ensure that it meets the defined quality standards. Reconciliations involve comparing the data in the source and target systems to ensure that they are consistent. Exception reporting involves identifying and reporting any errors or inconsistencies that are found during the audit or reconciliation process. Benchmark pre- and post-migration data for consistency: Benchmarking involves comparing the data in the source and target systems after and after the migration. This helps to identify any changes in data quality or performance that may have occurred during the migration process. Documentation & Reporting Maintain detailed records of migration processes and outcomes: The specialist must maintain detailed records of all aspects of the migration process, including the migration strategy, the data mapping, the ETL processes, and the test results. This documentation will be invaluable for future reference and for troubleshooting any issues that may arise. Create technical documentation for future reference: This includes documenting the data structures, data types, and data formats of both the source and target systems, as well as the transformation logic that was used during the ETL process. Report progress and challenges to project stakeholders: Regular progress reports should be provided to project stakeholders, highlighting key milestones, challenges encountered, and mitigation strategies employed. This ensures that stakeholders are kept informed and can provide timely feedback and support. Compliance & Security Ensure adherence to data governance and privacy regulations: The specialist must ensure that the migration process complies with all relevant data governance and privacy regulations, such as GDPR, CCPA, and HIPAA. Implement secure data handling and encryption protocols: Secure data handling and encryption protocols must be implemented to protect the data during the migration process. This includes encrypting the data in transit and at rest, as well as implementing access controls to prevent unauthorized access. Required Skills/Experience: Minimum of 3+ years of experience in a QA role, with at least 2 years specifically focused on data migration and integration projects. Experience working with different data migration methodologies and tools. Experience in developing and executing test plans and test cases for data migration and integration scenarios. A solid grasp of the entire data migration process, from planning and extraction to transformation, loading, and validation. This includes understanding different migration strategies Knowledge of various data integration methods, such as ETL (Extract, Transform, Load), ELT (Extract, Load, Transform), data virtualization, and API-based integration. Expert level knowledge of SQL Server and preferred Snowflake. Knowledge of Database modeling, design, ETL, and performance tuning Experience in AWS RDS and EC2 database hosting. Experience with the following: 3+ years of experience with SQL Server and ETL tools. 2+ years of experience using JAMS/PowerShell scripting. 2+ years of experience working with Git, Azure DevOps, Octopus and/or similar tools for version control and build management. 2+ years of experience working with AWS RDS instances 2+ years of experience working with REST API based integration, Bachelor's degree or equivalent work experience Ability to work in a team environment Capable of designing and developing solutions for customers Ability to communicate software designs to team members and monitor its progress Strong attention to detail and a positive attitude. Self-motivated individual with excellent written and verbal communication skills. Excellent problem-solving skills. A willingness to work independently or in a team-oriented environment both efficiently and courteously. Location: Remote Status: Full time position with full company benefits NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at **************. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.

TekWissen's, Staffing division is a recruitment-centric organization focused on providing talent acquisition services (both IT and non-IT) in the Technology, Engineering, Clinical, Legal, Scientific, Finance, Marketing, Professional and Payroll Management arenas to clients across the US, and India. Founded in 2009, TekWissen is one of the fastest growing Staffing firm in United States. We have been recognized by Inc. 5000 fastest growing companies in USA with ranking # 192, #15 Top IT Service Company in 2014 by Inc.com, #6 Top Michigan Companies in 2014 again by Inc.com, Michigan 50 Companies to Watch in 2014, FastTrack Award for 2014. Position :Informatica Architect with MDM experience Location: Herndon, VA Duration :Contract-long-term & Full time Required Skills: • Strong hands on Informatica 9.x/9.5/9.6 experience in architecting, engineering, performance/capacity engg, deployment standards in production, product integration, product support, overall fitment(product usage), sizing and setting up Informatica Environments. • Experience with integrating metadata, etl processes and testing environments. • Hands-on experience in platform configuration, code development, best practices, design patterns and use cases of MDM, Data Virtualization, Data Services, Proactive Monitoring, Data Exchange, Data transformation, Persistent data masking, Test data management, Power exchange and Power Center. • Hands-on experience in configuration, design and development of large scale ETL and Enterprise Data Warehouse applications. • Hands-on Informatica process Automation experience using Perl and unix shell scripting. • Experience with XML, Web service development • Strong understanding of Oracle database, SQL optimization, SOA concepts, design patterns, tools, techniques and best practices. • Strong ability to understand, document and communicate technical architectures, best practices, toolsets and solutions. • Candidates should have experience with production support. • ESB's such as MQ/JMS or Tibco EMS are nice to have skills. • Familiarity with Informatica Connectors, Core DW infrastructure and experience with appliance such as Teradata, Netezza and Exadata would be a big plus. Additional Information If you are comfortable with the above job description & the Qualifications... Share you updated resume with your basic contact information... So that we can discuss about the position more... Thanks & Regards, Venkat TEkWISSEN LLC *************************** ************

Responsibilities Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters. Responsibilities: The Senior Statistician/Mathematician - Quality Assurance Framework (QAF) Oversight & Monitoring specializes in collecting, analyzing, and interpreting data to solve and predict/ mitigate complex intelligence problems by applying statistical methods to provide insights that inform decision making. This position will focus on QAF Oversight & Monitoring. Responsibilities are, but are not limited to: Statistician/Mathematician specifically: Develop and apply mathematical theories and statistical methods to solve intelligence problems. Collect, organize, interpret and summarize data to inform decision making to solve a broad range of problems. Develop mathematical or statistical models of phenomena for analysis or computational simulation. Design complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data. Plan and perform data collection for projects, determining types/sizes of sample groups and parameters. Prepares data for processing by organizing information and checking for inaccuracies. Process large amounts of data for statistical modeling and graphic analysis/ metrics. Develop software or work with developers to automate the collecting and processing of data. Produce the results of analyses in graphs, charts, tables, and metrics. Prepare products to describe and document findings and activities; provide briefings to decision makers. QAF specific: Conduct audits to ensure compliant use of AI systems for approved use-cases in all source analysis. Evaluate advanced analytics performance and compliance with tradecraft standards. Develop and maintain a repository of audit findings and recommendations to identify areas of improvement. Facilitate knowledge sharing and best practices across the organization. Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols. Evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts. Develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement. Develop and implement corrective actions to address TEVV findings. Develop and track performance metrics to evaluate the effectiveness of AI systems in all source analysis. Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement. Collaborate with stakeholders to develop and implement data-driven decision-making processes to inform AI system development and improvement. Publish and present research findings on AI assurance methodologies and best practices. Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories. Qualifications Required Qualifications: Bachelor's degree in a relevant field, such as Statistics/ Mathematics or Computer Science, with a minimum of 17 years of experience or master's degree with a minimum of 12 years of work experience. Strong in Statistics/ Mathematics application and QAF Oversight & Monitoring. Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions. Experienced in utilization of the Quality Assurance Framework and standards. Experienced in advanced analytics, machine learning, and data integration methodologies. Experienced with intelligence databases, software, and analytical tools. Ability to work collaboratively with users and stakeholders. Capacity to adapt to changing situations to prioritize tasks effectively. Excellent communication, analytical, and problem-solving skills. Preferred Qualifications: Master's degree in a relevant field, such as Statistics/ Mathematics or Computer Science. Experience working in the customer environment is preferred. Security Clearance: This Position requires an Active TS/SCI and the ability to obtain a CI Poly, US Citizenship is required to hold this clearance. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Career CategoryClinical DevelopmentJob Description HOW MIGHT YOU DEFY IMAGINATION? You've earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you've worked hard to acquire and the passion you already have. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role. Modeling & Simulation Senior Statistician Live What you will do Let's do this. Let's change the world. In this vital role you will work with the DSI and the Principal Statistician in the development and execution of the simulation plan based on design options and simulation specifications provided by DSI, SDD and study teams; and deliver simulation reports under the guidance from DSI . Participates in discussion sessions of EGP development and study design to ensure understanding of the clinical trial design options and collect design inputs from DSI, SDD and study team Works with the DSI and the Principal Statistician to develop and finalize simulation plan with detailed specifications and operating characteristics that enable the evaluation and selection of the optimal design options Executes simulation plan and summarizes results in outputs in presentation ready visualization Works with the DSI and the Principal Statistician to evaluate design options and form design recommendations and finalize simulation report Participates in sessions to present simulation results and recommendations to the product/study team Contributes to the development of simulation and modeling tools for the design center Supports the promotion of innovative designs and analysis methods by contributing to internal training sessions Win What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is proficient with these qualifications. Basic Qualifications Doctorate degree Or Master's degree and 3 years of statistical experience in the pharmaceutical industry or medical research experience Or Bachelor's degree and 5 years statistical experience in the pharmaceutical industry or medical research experience Or Associate's degree and 10 years of statistical experience in the pharmaceutical industry or medical research experience Or High school diploma / GED and 12 years of statistical experience in the pharmaceutical industry or medical research experience Preferred Qualifications Doctorate in Statistics/Biostatistics with 1 year of post-graduate statistical experience in the pharmaceutical industry or medical research Excellent computing, modeling and simulation skills using R, SAS, WinBugs, FACTS, etc. Experience in designing, analyzing and reporting of clinical trials within Pharmaceutical/Biotechnology/Public Health setting in Industry, Government or Academia Proactive and efficient in learning emerging adaptive designs and building simulation tools for wide use and applications Knowledge of Bayesian statistics Extensive knowledge of simulation and modeling techniques Work well with both statistical colleagues and cross functional teams Good communication skills (written and oral) Thrive Some of the vast rewards of working here As we work to develop treatments that take care of others, so we work to care for our teammates' professional and personal growth and well-being. Full support and career-development resources to expand your skills, enhance your expertise, and maximize your potential along your career journey A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act Generous Total Rewards Plan-comprising health, finance and wealth, work/life balance, and career benefits-with compensation and benefits rated above 4 stars (out of 5) on Glassdoor Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. careers.amgen.com Equal Opportunity Statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. . Salary Range 139,595.00 USD - 170,664.00 USD

M&J Engineering, D.P.C. is a quality provider of multi-disciplined consulting services with over 300 employees. Since its inception in 2004, M&J has grown into diversified provider of engineering, construction management, construction inspection, technology, and environmental services to a broad range of clients, including federal, state and city/local agencies, private owners, architects, engineers and contractors. M&J Engineering is a leader in construction management and inspection, ITS, mechanical, electrical, wastewater, water supply, tunnel airport, port, marine/coastal, environmental engineering, and design-build services for both new infrastructure projects and renovations. M&J bases its employment and personnel decisions on the principles of Equal Employment Opportunity, with the intent to further the Company's Affirmative Action commitment. M&J does not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, pregnancy, gender identity or expression, age, disability, genetic information, marital status, citizenship status, employment status, veteran or military status, or any other category protected by law. Our Company vigorously pursues opportunities to recruit and develop job candidates who have the desire and potential for becoming qualified employees through our Affirmative Action Plan. M&J is seeking a Data/Business Analyst to provide analytical, data-driven insights to improve operational performance, financial efficiency, and strategic decision-making across key business areas. Responsibilities Collect, analyze, and interpret complex data sets to identify trends, patterns, and insights that inform WMATA's operational and business objectives. Develop and maintain dashboards, reports, and performance metrics using Power BI, or other visualization tools. Collaborate with WMATA departments to gather business requirements and translate them into functional specifications. Conduct data validation, quality assurance, and integrity checks across multiple data sources. Support the creation of data models, predictive analyses, and forecasting tools to enhance planning and resource allocation. Document business processes, workflows, and system interfaces for continuous process improvement. Assist project managers and technical teams with business case development, impact assessments, and performance reporting. Support ad-hoc data requests, KPIs, and performance monitoring as required by WMATA leadership. Ensure compliance with WMATA's data governance, security, and reporting standards. Attend required meetings and perform other duties as assigned. Qualifications A minimum of a bachelor's degree in business, Data Analytics, Information Systems, Economics, Statistics, or a related field. 5+ years of professional experience as a Data Analyst, Business Analyst, or related role. Proficiency in SQL, Excel (advanced), and data manipulation/cleansing techniques. Effective communication skills and ability to work collaboratively with technical teams. Experience supporting transportation, government, or public sector clients (WMATA experience is highly desirable). Knowledge of WMATA's systems, KPIs, and operational data frameworks. Familiarity with project management methodologies (Agile, PMBOK, etc.). Experience with Python, R, or other statistical tools a plus. Benefits M&J is a leader in providing quality engineering consulting services to a diverse and exciting client base. We attract experienced professionals who understand proactive client service, safety, risk management and loss prevention practices, quality control, teamwork, and the development of younger staff. We seek employees who enjoy their work, desire continuous improvement, and want to contribute to the vision and growth of a quality, employee-owned, professional firm. To all full-time employees we provide a comprehensive package of benefits, including medical, dental and eye insurance, 401(k) retirement plan, life insurance, etc. Salary will depend on experience and credentials.