Data Analyst jobs at ZP Group

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.

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

Responsibilities: Provide project planning and coordination for Privacy Impact Assessments Design and implement privacy requirements into key processes and tools across the enterprise Define, Implement, and operate Data Ethics Governance Process Develop, monitor, and report privacy metrics Requirements: 1.Banking or financial services experience 2. Five years of experience or an equivalent combination of education and work experience involving the following: -- Enforcing TCPA, CPRA, GLBA, and CAN-SPAM requirements. --Designing and executing risk assessments. Nice to have: 1.Experience managing project scope and timelines 2. Experience creating dashboards using Qlik or Tableau 3. Exeperience creating workflow and digital forms using Nintex

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.

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.

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.

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

For more details, please connect with Gautmi Jain at ************ or email at ********************* This project is to modernize aging Data Warehouse and Data Analytic systems utilizing new on-premises cloud- and container-based technologies Required Skills: 84 months experience with a Government Taxation organization, which includes system design, development, maintenance and end user support of Tax & Revenue Accounting Systems and Tax Identification Systems. 84 months experience in design and administration for DB2 LUW on AIX including the use of PureXML and Database Partitioning Feature, traditional DBA tasks of design, tuning, storage management, memory/buffering, backup/recovery and object maintenance. The experience must be on both high-volume transactional systems and analytical systems and involve data purging and roll off, data movement and the shredding natively stored XML data to flattened structures. 84 months of database design and programming experience using Computer Associates IDMS database, programming for an IDMS database using its DMLO language as well as logical design, database navigation, analysis, writing application specifications, testing, documentation. 84 Months experience in administration and support of IBM's InfoSphere Data Replication software to replicate data between databases on DB2 for z/OS and DB2 LUW on AIX (ver 9.5 or higher) including the setup, configuration and maintenance of IBM InfoSphere Data Replication Change Data Capture (CDC), in usage for 24/7 high volume transactional processing databases. 84 months experience with Application performance analysis and tuning 84 months experience with troubleshooting applications on an IBM Mainframe running DB2 z/OS and CICS/MQ

Do you like working with data and analytics to evaluate AI models and their performance? Do you love collaborating with teams to assess and improve generative AI solutions? About our Team Elsevier is singularly focused on helping healthcare professionals improve clinical outcomes through evidence-based care. Our generative AI team works on evaluating and implementing cutting-edge AI technologies to enhance our healthcare solutions while ensuring their safety, reliability, and compliance with healthcare standards. About the Role We are seeking a motivated individual to join our dynamic generative AI evaluation team. We focus on assessing and validating AI models that support healthcare decision-making tools. Our team ensures that our AI solutions meet rigorous standards for accuracy, fairness, and clinical relevance. The successful candidate will help evaluate model performance, analyze output quality, and ensure our AI solutions align with healthcare best practices. The successful candidate has relevant experience with AI model evaluation, including performance metrics analysis, output validation, and data visualization. They enjoy collaborating with cross-functional teams including AI researchers, product managers, clinicians, and engineers to evaluate AI models, analyze their outputs, and improve their performance in healthcare contexts. Responsibilities Leading requirements gathering and development of analytics frameworks for evaluating generative AI models in healthcare applications Leading and defining the strategic direction for AI evaluation methodologies in their product area Managing the analytics roadmap for model evaluation. Collaborating with internal and external stakeholders to manage evaluation timelines and deliverables Defining, developing, and deploying queries and metrics to assess AI model performance and output quality Leading data model creation and maintenance for AI evaluation frameworks and monitoring systems Conducting comprehensive QA of AI outputs and participating in risk analysis and mitigation Understanding how security and privacy laws such as HIPAA affect AI deployment in healthcare. Understanding how to handle sensitive data including PHI and PII in AI contexts Requirements Extensive and relevant experience in data analytics including a depth and breadth of SQL Data Engineering Demonstrated thought leadership in analytics strategy and enterprise-wide project implementation Have current experience in a data analytics role Have expertise in using and querying relational database management systems such as Microsoft SQL Server, Snowflake. Have expertise in using BI tools such as Tableau or PowerBI

Immediate need for a talented Senior Data Systems Analyst. This is a 12 months contract opportunity with long-term potential and is located in Westlake, TX(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93280 Pay Range: $57 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required 6-8 years of working experience You have working in investment banking, finance, venture Client, asset management, or wealth management (Required) You have experience analyzing existing system functionality, leveraging data models and SQL queries and reflects the findings in clear functional documentation. You have significant expertise in data related projects in the areas of requirements gathering, analysis, interpretation and translating them to data solutions. You have dimensional data modelling design and implementation experience. You understand and communicate sophisticated concepts effectively to a variety of audiences, both technical and non-technical. You make the complicated simple. Strong SQL experience (ANSI SQL, Oracle, Client) You have a passion for continuous learning, mastering of new skills, and staying on top of the latest innovations across data analytics. You are fluent in agile work methodologies such as scrum and its application. You are known as a go-getter, with the ability to unravel a mystery; data, business process or organizational. Strong results-orientated contributor with an ability to clearly articulate and deliver business value. Expert level SQL for data analysis and querying Understanding of AWS cloud data models using Snowflake Experience analyzing data, performing data readiness, identifying data sources and remediating issues for given requirements-all so the data engineers can execute. Systems Analyst mindset to understand how the systems are coming together, how they interact and how they connect, and then write concise business requirements tying the technical and business case together. Understand distributed systems to connect multiple systems Should have financial domain/asset management domain to understand complex security nuances. Our client is a leading Financial Services Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Title: Senior Global Data Warehouse Architect Duration: Full-Time/Permanent We are seeking a Senior Global Data Warehouse Architect to design and deliver modern, scalable, and high-performing data platforms that enable advanced financial and operational analytics. The role focuses on defining enterprise data architecture strategy, optimizing data flows, and ensuring data structures are reliable, efficient, and built for analytical depth and scalability. The architect will develop data platforms that deliver reconciled financial and operational metrics, reduce time-to-insight, and establish standards for data governance, lineage, and model reusability to elevate data quality across the enterprise. **LAW FIRM EXPERIENCE REQUIRED. Responsibilities Design and implement enterprise-grade data architectures on Databricks, Snowflake, or similar platforms for real-time and batch analytical workloads. Build efficient ELT/ETL workflows using Spark, Python, and SQL to ingest, transform, and curate large volumes of structured and unstructured financial and operational data. Create and maintain dimensional, normalized, and semantic data models to support financial reporting, performance analytics, and forecasting. Lead integration design for financial and HRIS systems, ensuring accurate reconciliation and alignment with enterprise data warehouse schemas. Enforce data governance policies, lineage tracking, and metadata standards to ensure data accuracy, consistency, and regulatory compliance. Tune query performance, optimize compute and storage costs, and implement data caching and partitioning strategies to improve processing speed and efficiency. Collaborate with data engineers, BI developers, finance analysts, and technology teams to translate business requirements into scalable data solutions. Evaluate new tools, frameworks, and architectures to enhance data platform performance and scalability. Qualifications 8+ years of experience in data architecture, data engineering, or BI engineering roles. Hands-on experience architecting solutions on Databricks and/or Snowflake. Strong proficiency in SQL, Python, and Spark. Deep understanding of data modeling principles (3NF, star/snowflake schemas, data vault). Proven experience designing data lakes and lakehouse architectures. Familiarity with financial data structures, accounting schemas, and practice management systems such as Elite 3E or Aderant. Experience supporting financial planning, billing, profitability, and time & expense analytics. Experience with cloud platforms (AWS, Azure, or GCP), data platform tools (Databricks, Snowflake, S3, Delta Lake), and BI/visualization tools (Power BI, Tableau, or equivalent). Strong analytical, problem-solving, and communication skills. Ability to influence and align technical direction across teams. Relevant certifications preferred: Databricks Certified Data Engineer/Architect, Snowflake SnowPro Advanced: Architect, TOGAF or other enterprise data architecture credentials.

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

Job Title: Security Data Analyst - Junior Level Duration: Long-term (24+ Months) Scope: Provide an entry-level Safety & Security Data Analyst to support the OIA's data collection and reporting needs. Responsibilities Include: Gathering and organizing safety and security data from multiple sources. Maintaining accurate records and ensuring data integrity. Performing basic data analysis using Microsoft Excel (pivot tables, charts, formulas). Creating simple reports, charts, and summaries to support decision-making. Collaborating with internal teams to collect and validate data. Minimum Qualifications: Strong proficiency in Microsoft Excel. Experience with data collection and basic reporting. Attention to detail and ability to maintain accurate records. Good communication skills and ability to work in a team environment. Ability to maintain confidentiality and protect the integrity of sensitive and proprietary data. Preferred Qualifications: Familiarity with basic data visualization techniques. Familiarity with Python and SQL is a plus. Familiarity with Microsoft PowerBI and DAX queries is a plus. Exposure to safety, security, or transportation-related data is a plus.

Strong knowledge of statistical techniques and advanced mathematics. 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred). 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing. 4+ years of experience in manipulating big data using Python, PySpark, or SQL. Expert Experience with data visualization tools in Python, PowerBI, etc.

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

We are seeking a Senior SQL & Power BI Developer to lead and execute complex application development, database engineering, ETL pipelines, and enterprise data reporting. This role functions as a technical lead, contributing to systems architecture, data modelling, and large-scale reporting solutions while mentoring junior developers. You will work across Oracle, SQL Server, Azure SQL, MySQL, and modern BI/ETL ecosystems to design, optimize, and deliver mission-critical applications and insights. Location: Downey, CA Candidate should live within 20 miles) Job Type: Contract (12-24 months) What You'll Do: Develop & optimize advanced SQL, PL/SQL, and database architectures Build Power BI dashboards & advanced data models Lead data-driven projects, mentor junior developers Design/maintain ETL pipelines and integrate multi-source data Ensure high performance, security, and documentation standards What We're Looking For: 7+ years in programming, systems analysis, or database development Strong SQL, PL/SQL, Power BI, data modeling & ETL experience Experience with Oracle, SQL Server, Azure SQL, or MySQL Ability to communicate with both technical and non-technical teams Interested or know someone who is a great fit? Send your resume to discuss this opportunity: ************************** Direct applicants only - no third-party vendors. c2c candidates at this time.

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