Data Analyst jobs at 20-20 Technologies

We are seeking an experienced Lead Manufacturing Engineer (Level 5) to join our Statistical Process Control (SPC) & Data Analytics team. The ideal candidate will be highly skilled in data analytics, Power BI dashboard development, and Power Apps creation to support manufacturing optimization and automation. This role requires strong expertise in data mining, linking datasets in Power BI, and designing analytical tools that enhance decision-making and operational efficiency. Key Responsibilities Lead the creation, development, and deployment of advanced Power BI dashboards to deliver actionable insights. Design, develop, and implement Power Applications to streamline and automate manufacturing workflows. Execute data mining and establish automated data relationships in Power BI to support reporting and process optimization. Utilize Statistical Process Control (SPC) methods for monitoring and improving manufacturing processes. Partner with cross-functional teams to identify data analytics needs and deliver effective solutions. Maintain detailed documentation of analytics tools, processes, and best practices. Mentor junior engineers in data analytics, Power BI, and Power Apps development. Present technical findings to both technical and non-technical stakeholders clearly and effectively. Lead complex projects with minimal supervision. Required Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related field. Minimum 9 years of experience in Manufacturing Engineering or a related technical area. Proven experience in data analytics and Power BI dashboard development. Expertise in Power Applications design and deployment. Strong skills in data mining and building automated data relationships in Power BI. Extensive experience with SPC methodologies. Excellent analytical, problem-solving, and communication skills. Proficiency with MS Office tools (Excel, PowerPoint, Word). Ability to work independently and lead large-scale, complex projects. Demonstrated experience in mentoring and guiding junior engineers. Desired Qualifications Master's degree in Engineering or Computer Science. Knowledge of Snowflake or other database management systems. Familiarity with Lean Manufacturing and Six Sigma methodologies. Experience with additional analytics tools such as Minitab, JMP, or Inductive Automation platforms.

VARITE is looking for a qualified Data Analyst - IV for one of its clients. WHAT THE CLIENT DOES? A U.S. based regional bank and financial services company that provides a wide range of banking products and services, including personal banking, business banking, mortgages, wealth management, and investment services. WHAT WE DO? Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services. **Note: We only work on W2, we do not work on C2C/1099, we do not provide Visa sponsorship, kindly refrain from applying if you do not meet this criteria, thank you for understanding!** HERE'S WHAT YOU'LL DO: Job Title: Data Analyst - IV (USC/GC Only) Duration: 12 Months Pay Rate: $90-106/hr. on W2 Work Mode: Remote role Job Description Essential Responsibilities: • This is a hands-on role. Applicants should not be managers or architects. • Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors. • Monitor application, production and/or implementation support, both technical and user, for new releases. • Consult on application testing strategies, document observations and coordinate responses. • Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely. • Document end-user interactions into the automated call logging tools for tracking and productivity purposes. • Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management. • Ability to perform involved, independent research and develop highly creative work products and proposals. • Demonstrate a high degree of creativity in addressing problems/issues and opportunities. • Demonstrated concentration on customer service orientation. • Ability to work effectively in a highly matrix or virtual organization. • Strong verbal and written communication skills with an ability to present/facilitate effective training sessions. • Strong experience in Agile delivery, requirements engineering, backlog development and refinement. • Strong experience in stakeholder engagement. • Experience working with distributed teams, and providers of software solutions. • Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions. • Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira. • Excellent analytical and design skills. • CBAP, Agile Analysis Certification or similar certifications preferred. • Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday. • Hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions on a data lake house hosted in a cloud environment utilizing technologies such as R, sparklyr, Databricks, Starburst, Collibra, Tableau, Python and/or Alteryx. Quals-- • Sr. Technical Analyst roles for one-year assignments to implement and manage data products, ensuring that our data pipelines are scalable, secure, and efficient. Requirements: Specific skill mixes we need from the tech stack: o Databricks AND (R or sparklyr) OR (Pyspark or Python) o Databricks AND (Starburst OR Tableau) o Databricks AND (Collibra OR Altreyx) HANDS-ON Experience for the following: • Databricks -Pyspark, Data Quality Framework, Building custom dashboards • R/SparklyR - as a data analyst • Pyspark/Python -with scripting and automation, performance tuning and debug capabilities • Starburst - as a data analyst or Starburst developer or support engineer • Collibra - as a Collibra developer or support engineer • Alteryx - as a developer or support engineer • Tableau - as a developer with performance tuning / debug capabilities • Immuta - As a security analyst. Must have good Role Based and Attribute Based Security knowledge.

Title: Data Analyst Full Time role Salary: $80K annually What You will Do: Data Analyst to update/edit/develop A320 Neo EBU Coverage Tracker. Develop teams automated tracker for part allocation prior to MSN delivery. Using Spreadsheets, PowerBI and creating new tools to track shortages from our supplier as well further data analytics for our operating. Improve and develop visuals in PowerBI. Create/Maintain A320 Neo EBU Coverage Report for both internal and external focals. Additionally, duties include data cleanup for error free data sources. Constant monitoring of reporting tools is required to ensure data is accurate. All sourced data must be reviewed prior to determined refresh cycle in PowerBI. Job function include continuous improvement tools, developing work instructions / standard work, and following all regulatory company procedures. Attend daily / weekly schedule / status meetings, or more frequently as deemed appropriate. Treat all documentation as customer proprietary & comply with applicable customer procedures. Revisions to the work scope may be made. Additional engineering support task may be added to the work scope according to business needs at the discretion and approval of the PO owner. Ability to work with others, train up-and-coming engineers, and review their work. Realize opportunities for continuous improvement and find ways to implement solutions. Other administrative and supportive duties as needed. What You Will Bring: This position requires an B.S. degree in the appropriate discipline and 3 years of relevant experience. In the absence of a degree, 5 years of relevant experience is required. Hands-on experience building and publishing customized and interactive dashboards within PowerBI. Microsoft Office 365 is a required skill. Majority of programs utilized include, Excel, Microsoft Teams, and PowerBI. Intermediate level of MS Excel skills, including advanced formulas and data tables. Power Query and SQL logic are required for PowerBI reports. Understanding of basic visuals in PowerBI are needed, as well as ability to create intermediate calculated columns/new measures. Basic understanding of Microsoft Teams is needed for communication efforts with team and to edit source data for all reporting tools. In depth understanding of data collection, data flow management, data manipulation, data archiving and data standards Passionate about solving problems with data and high level of intellectual curiosity. Highly motivated to work on multiple projects in parallel and team player with a startup spirit. Very strong written and oral communication skills, with proven ability to translate complex analysis into actionable insights to a non-technical audience.

Need strong Data Management resources that have hands-on data provisioning and ability to distribute the data. Moderate to Advanced SQL skills (writing complex queries is a plus) Commercial Lending (iHub, WICS, WICDR systems)/Commercial Banking Background Metadata/Data Governance Regulatory Reporting Data Management Framework SQL Data Quality

Title: Data Governance Analyst Duration: Full time Education: Bachelor's degree We are seeking an experienced Data Governance to establish and oversee data governance frameworks, ensuring data quality, compliance, and consistency across the organization. The ideal candidate will have strong technical expertise in SQL, Python, and data analysis, coupled with a solid understanding of data governance principles, metadata management, and regulatory compliance. Key Responsibilities Data Governance & Strategy Develop, implement, and maintain the organization's data governance framework, policies, and standards. Collaborate with business and technical stakeholders to define data ownership, stewardship, and accountability models. Establish and monitor data quality metrics, ensuring data integrity and accuracy across systems. Manage the data catalog, metadata, and lineage documentation to ensure transparency and accessibility. Ensure compliance with data privacy and regulatory requirements (e.g., GDPR, CCPA, HIPAA, etc.). Data Management & Analysis Use SQL and Python to perform complex data profiling, validation, and quality assessments. Identify data quality issues and drive remediation through root cause analysis and process improvement. Partner with data engineers and analysts to ensure consistent data definitions, governance, and lifecycle management. Develop dashboards and reports to track data governance KPIs and communicate progress to leadership. Stakeholder Collaboration Serve as a liaison between business units, IT, and data teams to align governance initiatives with organizational goals. Conduct training and awareness programs to promote a data-driven and governance-first culture. Provide guidance to data stewards and business owners on governance best practices and standards. Must-Have Qualifications Bachelor's in Data Science, Computer Science, Information Management, or related field. 3+ years of experience in data governance, data management, or data analytics roles. Strong proficiency in SQL for data extraction, transformation, and validation. Experience with Python for data analysis, automation, and scripting. Deep understanding of data governance frameworks, metadata management, data quality tools, and data catalog solutions. Proven ability to develop and enforce governance policies and data standards. Strong analytical, problem-solving, and communication skills. Familiarity with data management platforms (e.g., Collibra, Alation, Informatica, Talend, Azure Purview, etc.) is a plus.

Role: Business Data Analyst Duration: Long term Rate: $Market All Inclusive 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected. Job Description Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system. Additional job details and special considerations The Business Data Analyst will primarily focus on analyzing existing business requirements to understand current functionalities, data flows, and pain points. The role will then leverage this understanding to elicit and write comprehensive business requirements for new systems or enhancements. A key responsibility will be translating complex business needs into clear, actionable requirements. The role must be well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams. The role will collaborate closely with business stakeholders, product owners, and technical teams to ensure alignment between business objectives and system capabilities. The ideal candidate will possess strong data analysis skills, an ability to document current state processes, and a proactive approach to identifying opportunities for process and system improvements. Excellent communication and interpersonal skills are essential for facilitating workshops, gathering information, and presenting findings to diverse audiences. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills. 8 Required Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions. 8 Required Experience designing and optimizing data workflows and data management processes using modeling or mapping tools. 8 Required Well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams 8 Required Experience creating and maintaining data-related documentation including data dictionaries, business requirement documents, and data mapping specifications. 8 Required Experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines. 8 Required Demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues. 4 Preferred Bachelor's degree in data science, Computer Science, Information Systems, Business Analytics, or a related field. Equivalent experience may be substituted. 4 Preferred Strong multi-tasking skills with the ability to manage multiple data projects or assignments concurrently. 3 Preferred Working knowledge of eligibility rules for SNAP, Medicaid, and TANF programs, with experience interpreting and applying state and federal guidelines. 3 Preferred Proven experience interpreting and applying policy within an integrated eligibility case management system. 3 Preferred Prior experience in leading and coordinating JAD sessions.

Client Delivery Specialist Associate This role offers the opportunity to contribute directly to our mission by ensuring the accuracy and integrity of our financial data. This person will be a part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting. Responsibilities Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems. Reconcile loaded data in source system against positions, tax lots, and performance. Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling. Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system. Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information. Qualifications 5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency, and solid accounting knowledge Subject matter expert in Orion and Black Diamond Familiarity with other portfolio management systems, such as Addepar, Advyzon, APX, Axys, Ridgeline, Tamarac Strong background working with financial custodial data and proficiency supporting alternative financial instruments Advanced proficiency in Excel and text file manipulation. Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance Understanding of Salesforce, Monday.com , Jira, and GitLab Comfort working with a geographically dispersed team Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed Achievement of, or working towards, an MS/MBA or CFA

Our client is currently seeking a Data Analyst Hybrid to the northern suburbs of Chicago W2 Only In this role, you'll evaluate usage, adoption, and performance of IIN systems, identify data mining opportunities, and integrate findings with key performance indicators. You'll collaborate with cross-functional teams to deliver dashboards, reports, and scorecards that inform strategy. What You'll Do Analyze usage, adoption, and efficacy of IIN systems. Identify and execute data mining opportunities. Integrate insights with traditional KPIs. Provide analytical support for projects and stakeholders. Develop and share dashboards, reports, and scorecards. Ensure data accuracy, format, and availability. What We're Looking For Bachelor's degree in Statistics, Data Science, Mathematics, or related field. Strong analytical skills and ability to interpret complex datasets. Advanced Excel skills (pivot tables, VLOOKUP, Power Query, visualization). Expertise in Tableau for dashboard design and optimization. Hands-on experience with Snowflake and SQL for data warehousing and analysis. Strong business acumen and ability to align data strategies with goals. Excellent communication and collaboration skills. Nice to Have Experience with KPI reporting and BI tools. Familiarity with advanced data visualization techniques. Rate: $65-90/HR

We're looking for a data-driven professional to join our team as a Data Analyst - Statistician, responsible for turning complex data into actionable insights that drive business decisions. In this role, you'll evaluate usage, adoption, and efficacy systems, uncover data mining opportunities, and integrate findings with traditional KPIs. You'll also support analytical projects, guide data formatting and availability, and deliver impactful reports, scorecards, and dashboards. What You'll Do: Analyze and interpret large datasets to identify trends and opportunities. Evaluate system performance and effectiveness, integrating insights with KPIs. Provide analytical support for cross-functional projects. Design and share reports, dashboards, and scorecards to inform stakeholders. Collaborate with teams to ensure data accessibility and quality. Perform additional duties as assigned by your manager. Core Competencies: Data Analysis & Interpretation: Ability to transform complex data into actionable insights. Excel Expertise: Advanced skills in pivot tables, VLOOKUP, Power Query, and data visualization. Tableau: Skilled in creating interactive dashboards and optimizing performance. Snowflake: Hands-on experience with data warehousing and efficient SQL queries. SQL Proficiency: Strong ability to write and optimize queries for data extraction and analysis. Business Acumen: Align data strategies with organizational goals. Collaboration & Communication: Work effectively with product owners, engineers, and stakeholders.

NO 3rd parties. Only LOCAL Minnesota candidates will be considered. This role is contract-to-hire and is located in Minneapolis's southwest metro. Digital Analyst (Mobile Analytics) The Client is seeking a Digital Analyst (Mobile Analytics) who will play a key role in understanding and optimizing the mobile product experience. This position is all about transforming complex data into clear, actionable insights that enhance user engagement, improve product performance, and inform digital strategy. As part of a collaborative analytics team, this role partners with product management, marketing, and engineering groups to measure success, uncover opportunities, and support data-driven decision-making. It's an exciting opportunity for someone who thrives on problem-solving, enjoys exploring data, and wants to contribute to a culture built on insights and innovation. What You'll Do Collect, analyze, and interpret data from mobile app usage, user behavior, and feature performance. Create and maintain interactive dashboards and meaningful reports using BI tools such as Domo and Adobe Analytics. Monitor key performance indicators (KPIs) to identify patterns, opportunities, and areas for product improvement. Collaborate closely with cross-functional partners to define analytics requirements aligned with business goals. Participate in Agile ceremonies, including sprint planning, retrospectives, and analytics reviews. Ensure accuracy and data integrity through validation and quality checks. Document KPI definitions, dashboard logic, and data sources for clarity and long-term usability. Recommend process enhancements and identify ways to automate or streamline reporting. Partner with senior analysts to advance the organization's data maturity and analytical capabilities. Qualifications Bachelor's degree in Business, Analytics, Marketing, Economics, Statistics, Computer Science, or a related discipline. 1-4 years of experience in analytics, BI, or data visualization (experience with mobile data preferred). Strong understanding of BI platforms such as Tableau, PowerBI, Adobe Analytics, Snowflake, or similar tools. Proficiency in SQL for data exploration and analysis. Excellent problem-solving, communication, and collaborative skills. Strong attention to detail and comfort working in a dynamic, fast-paced environment. Preferred Experience Background in mobile analytics with a focus on engagement or retention metrics. Familiarity with Agile or Scrum frameworks and tools like Jira and Confluence. Ability to visualize data in a way that clearly communicates insights to stakeholders. Curiosity and enthusiasm for learning new tools, technologies, and business processes. Experience working on analytics initiatives within large or matrixed organizations.

In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 4 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Senior Data Governance Consultant (Informatica) About Paradigm - Intelligence Amplified Paradigm is a strategic consulting firm that turns vision into tangible results. For over 30 years, we've helped Fortune 500 and high-growth organizations accelerate business outcomes across data, cloud, and AI. From strategy through execution, we empower clients to make smarter decisions, move faster, and maximize return on their technology investments. What sets us apart isn't just what we do, it's how we do it. Driven by a clear mission and values rooted in integrity, excellence, and collaboration, we deliver work that creates lasting impact. At Paradigm, your ideas are heard, your growth is prioritized, your contributions make a difference. Summary: We are seeking a Senior Data Governance Consultant to lead and enhance data governance capabilities across a financial services organization The Senior Data Governance Consultant will collaborate closely with business, risk, compliance, technology, and data management teams to define data standards, strengthen data controls, and drive a culture of data accountability and stewardship The ideal candidate will have deep experience in developing and implementing data governance frameworks, data policies, and control mechanisms that ensure compliance, consistency, and trust in enterprise data assets Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred This position is Remote, with occasional travel to Plano, TX Responsibilities: Data Governance Frameworks: Design, implement, and enhance data governance frameworks aligned with regulatory expectations (e.g., BCBS 239, GDPR, CCPA, DORA) and internal control standards Policy & Standards Development: Develop, maintain, and operationalize data policies, standards, and procedures that govern data quality, metadata management, data lineage, and data ownership Control Design & Implementation: Define and embed data control frameworks across data lifecycle processes to ensure data integrity, accuracy, completeness, and timeliness Risk & Compliance Alignment: Work with risk and compliance teams to identify data-related risks and ensure appropriate mitigation and monitoring controls are in place Stakeholder Engagement: Partner with data owners, stewards, and business leaders to promote governance practices and drive adoption of governance tools and processes Data Quality Management: Define and monitor data quality metrics and KPIs, establishing escalation and remediation procedures for data quality issues Metadata & Lineage: Support metadata and data lineage initiatives to increase transparency and enable traceability across systems and processes Reporting & Governance Committees: Prepare materials and reporting for data governance forums, risk committees, and senior management updates Change Management & Training: Develop communication and training materials to embed governance culture and ensure consistent understanding across the organization Required Qualifications: 7+ years of experience in data governance, data management, or data risk roles within financial services (banking, insurance, or asset management preferred) Strong knowledge of data policy development, data standards, and control frameworks Proven experience aligning data governance initiatives with regulatory and compliance requirements Familiarity with Informatica data governance and metadata tools Excellent communication skills with the ability to influence senior stakeholders and translate technical concepts into business language Deep understanding of data management principles (DAMA-DMBOK, DCAM, or equivalent frameworks) Bachelor's or Master's Degree in Information Management, Data Science, Computer Science, Business, or related field Preferred Qualifications: Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred Experience with data risk management or data control testing Knowledge of financial regulatory frameworks (e.g., Basel, MiFID II, Solvency II, BCBS 239) Certifications, such as Informatica, CDMP, or DCAM Background in consulting or large-scale data transformation programs Key Competencies: Strategic and analytical thinking Strong governance and control mindset Excellent stakeholder and relationship management Ability to drive organizational change and embed governance culture Attention to detail with a pragmatic approach Why Join Paradigm At Paradigm, integrity drives innovation. You'll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm. Learn more at ******************** Policy Disclosure: Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Role: Applied Data Scientist/ Data Science Engineer Yrs. of experience: 8+ Yrs. Job type : Fulltime Job Responsibilities: You will be part of a team that innovates and collaborates with internal stakeholders to deliver world-class solutions with a customer first mentality. This group is passionate about the data science field and is motivated to find opportunity in, and develop solutions for, evolving challenges. You will: Solve business and customer issues utilizing AI/ML - Mandatory Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Essential Requirements: Strong coding skills in Python and SQL - Mandatory Machine Learning knowledge (Deep learning, Information Retrieval (RAG), GenAI , Classification, Forecasting, Regression, etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders Ability to lead a team of data scientists is a plus Experience with Big Data technologies and/or software development is a plus

Job Title: Data Scientist Specialist Duration: 45 Minutes|120 Minutes Interview Type: MS Teams - Video Mandatory| 2nd round on-site Call notes: Flexibility in hands on experience Not required 10 years of experience ML and Gen AI 2 years of Gen AI experience Gen AI development This role comes between software engineer and Data Scientist Can see Data Engineer BS/MS in Ai or Data Science preferred PHD degree not needed

IDR is seeking a Technical Research Analyst to join one of our top clients in Atlanta, GA. This role offers a unique opportunity to delve into the convergence of data and power within the electrical industry. If you are eager to be part of a dynamic organization and thrive in a collaborative, team-oriented environment, we encourage you to apply today! Position Overview & Responsibilities for the Technical Research Analyst: Collaborate with leading corporations, educational institutions, and research centers on R&D projects. Conduct in-depth analysis of emerging technological trends in the convergence of data and power. Develop comprehensive documentation for research findings, technology evaluations, and market studies. Present research outcomes and technology roadmaps to executive teams, ensuring alignment with strategic goals. Required Skills for Technical Research Analyst: 3-5+ years of experience in Power, Electrical, or Industrial Engineering, with a focus on the electrical industry. Bachelor's degree in Business, IT, or a related field; advanced degrees preferred. Strong analytical skills to interpret complex data and trends. Experience with AI and ML in power or utility systems. Excellent interpersonal skills for effective collaboration and presentation. What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization Close-knit and team-oriented culture

Our client is looking for a Data Analytics Consultant with strong SQL and Snowflake experience This is a long term contract that is hybrid in the Deerfield area. W2 only, No C2C Responsibilities: Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Qualifications: Bachelor's Degree in Analytics, Engineering, Statistics or related field 5+ years of Data Analytics experience Strong SQL background Snowflake experience Pay around 75-85/hr

Experience in writing user stories in the proper user story formats Seeking a Business Process Subject Matter Expert (SME) to lead process analysis, design, optimization, and governance efforts. The SME will partner with business stakeholders, IT, and project teams to translate strategic objectives into efficient and compliant end-to-end processes that improve effectiveness, reduce risk, and enable automation. Key responsibilities Act as the primary business authority on end-to-end processes within the assigned domain, providing deep operational knowledge and decision support. Analyze current-state processes to identify inefficiencies, bottlenecks, compliance gaps, and opportunities for automation or cost reduction. Design and document future-state processes, detailed process maps, policies, procedures, and standard operating procedures (SOPs). Define business requirements, acceptance criteria, and process KPIs to support solution delivery, automation, and continuous improvement. Collaborate with stakeholders to prioritize process changes, build business cases, and estimate benefits and risks. Work closely with IT, solution architects, and developers to ensure technical solutions align with business needs and process design. Support implementation of process changes, including testing, training, and adoption activities; validate that solutions meet business requirements. Establish and maintain process governance, controls, and compliance standards; monitor process performance and lead remediation where needed. Mentor and enable process owners and frontline teams to sustain improvements and incorporate best

This is a full-time advanced level position involving technical work with a highway materials testing application. This position maintains portions of the MAC (Materials Acceptance and Certification) system and performs advanced database functions. The position requires a highly motivated and organized employee to create customized entries while ensuring the system is consistent across materials and technical areas. Strong computer skills and experience in Microsoft programs such as Visual Studio, SQL Server Management Studio, Access, and Excel are required. Prior experience working with relational database management system (RDBMS), along with proficiency in visual basic, Structured Query Language (SQL), SQL Server Reporting Services (SSRS), and business Intelligence tools and concepts are preferred. This position will be working with the Materials Program Performance Section. It is an in-office position with no option for remote work. Role and Responsibilities Specific duties for the Database Information Section include the following: Develops and maintains MAC Specifications for the Geotechnical Materials Program Creates, revises and maintains Geotechnical Materials Program test definitions including targets and limits, and other sampling and testing requirements Data processing using appropriate software, storage, and analysis; and prepares detailed engineering reports on findings Works to ensure the test definitions, comparison definitions, evaluation checklists and inspection checklists are up to date while ensuring the system is consistent Assists the Quality Systems unit with database and reporting development and maintenance Assists the Database Information Team in data compilation and analysis. Troubleshoots issues with data, uploads, and application programming Assists with FDOT Service Desk tickets pertaining to MAC Assesses MAC access requests and ensures they are processed by the appropriate District Application Coordinator Assists with programming enhancements to MAC in compliance with the Office of Information Technology's application development standards Assists with State Materials Office SharePoint development and maintenance including Power Apps Qualifications and Education Requirements High school diploma, or equivalent. Strong computer skills and experience in Microsoft programs such as Visual Studio, SQL Server Management Studio, Access, and Excel are required. Prior experience working with relational database management system (RDBMS), along with proficiency in visual basic, Structured Query Language (SQL), SQL Server Reporting Services (SSRS), and business Intelligence tools and concepts are preferred. Preferred Skills Demonstrates strong communication, technical writing, and interpersonal skills Demonstrates experience in data entry and quality review Additional Notes Schedule: Monday-Friday, 8:00 AM- 5:00 PM