Senior data analyst- jobs in Lewisville, TX

Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills. Responsibilities Investigate and Analyze data anomalies and data issues reported by Business Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations Assist in break fix and production validation as it relates to data derivations, replication and structures Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage Gather information from various Sources and interpret Patterns and Trends Ability to work in a team-oriented, fast-paced agile environment managing multiple priorities Qualifications 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases 4+ years of experience working with Exadata and SQL Server databases 4+ years in a Data Analyst role Strong attention to Detail 2+ years writing medium to complex stored procedures a plus Ability to collaborate effectively and work as part of a team Extensive background in writing complex queries Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking Good Communication skills Self-Motivated Works well in a team environment Denodo Experience a plus Master Data Management a plus Big Data Experience a plus (Hadoop, MongoDB) Postgres and Cloud Experience a plus

Ensures that the team translates business and technical requirements to high-value data visualization, and sustainable and reusable Power BI business-logic. NoSQL / MongoDB background May be engaged with client-facing self-service analytics governance workshop. Power BI expertise Data Acquisition (ADF, ADL, Azure SQL, Databricks, COSMOS, Kusto loading, Azure functions) Additional Job Details: Microsoft Azure Data Factory Microsoft Azure Data Lake Analytics

This role is not open for subcontracting. Open to W2 /Individual C2C or 1099 candidates only. We are willing to transfer H1B's and take care of their immigration, including GC sponsorships. About the Role You will be responsible for analyzing data that we feed into our machine learning models and analyzing data from production to gather critical and intuitive insights to improve our models and algorithms. You will also be visualizing these insights and help communicate results to the business effectively. Analysts have solid technical background but enjoy learning new languages, technologies, and frameworks. Data Analysts use Databricks as their primary tool to derive valuable insights and provide them back to the business. Responsibilities Research, prototype, and build analysis and visualizations for our Machine Learning pipeline. Stay up to date with emerging technology and learn new technologies/libraries/frameworks. Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design. Deliver on time with a high bar on quality of research, innovation and engineering. Qualifications Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Required Skills 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. Preferred Skills Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience working with Machine Learning models - evaluation, observability, and performance monitoring. Experience working closely with a business team to determine primary KPIs on an ambiguous problem. Pay range and compensation package On-site job, must be local to Texas only. This role is not open for subcontracting. Open to W2 /Individual C2C or 1099 candidates only. Equal Opportunity Statement We are committed to diversity and inclusivity.

Plano TX- Nearby candidates only W2 Candidates Must Have: 5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala) Experience working with relational database such as Teradata and handling both structured and unstructured datasets Data Modeling tools (Any of - Erwin, Power Designer, ER Studio) Preferred / Ideal to have - Proficiency in Python Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases) Experience with Snowflake and Databricks

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Data Architect Work Location Dallas, Texas Job Description: The ideal candidate will have a good understanding of big data technologies data engineering and cloud computing DWH Projects with a focus on Azure Databricks Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards Ensure best practices are followed by team in terms of code quality data security and scalability Stay updated with the latest developments in Databricks and associated technologies to drive innovation 12 years of experience along with 5 years of data Analytics project experience Experience with Azure Databricks notebook development and Delta Lake Good understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Fabric Experience with ETLELT processes data warehousing and building data lakes SQL skills and familiarity with NoSQL databases Experience with CICD pipelines and version control systems like Git Soft Skills Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders Strong problem-solving skills and a proactive approach to identifying and resolving issues Leadership skills with the ability to manage and mentor a team of data engineers Power BI for dashboarding and reporting Microsoft Fabric for analytics and integration tasks Spark Streaming for processing real time data streams Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using Databricks Synapse notebooks and Azure Data Factory Good understanding on different domain industries with respect to data Analytics project DWH projects Should be good in Excel and Power Point Good understanding and experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2 Experience in building and optimizing query layers using Databricks SQL Familiarity with modern CICD practices especially in the context of Databricks and cloud native solutions Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

KPI Partners is a 5 times Gartner-recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients. We are looking for skilled data engineers who want to work with the best team in data engineering. Title: Senior Data Architect Location: Plano, TX (Hybrid) Job Type: Contract - 6 Months Key Skills: SQL, PySpark, Databricks, and Azure Cloud Key Note: Looking for a Data Architect who is Hands-on with SQL, PySpark, Databricks, and Azure Cloud. About the Role: We are seeking a highly skilled and experienced Senior Data Architect to join our dynamic team at KPI, working on challenging and multi-year data transformation projects. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you. Key Responsibilities: Data Engineering: Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies. Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions. Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability. Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform. Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development. Must-Have Skills & Qualifications: Minimum 12+ years of overall experience in IT Industry. 4+ years of experience in data engineering, with a strong background in building large-scale data solutions. 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions) Proven expertise in SQL for querying, manipulating, and analyzing large datasets. Strong knowledge of ETL processes and data warehousing fundamentals. Self-motivated and independent, with a “let's get this done” mindset and the ability to thrive in a fast-paced and dynamic environment. Good-to-Have Skills: Databricks Certification is a plus. Data Modeling, Azure Architect Certification.

*HAVE TO BE IN THE DFW AREA* Salesforce CX Business Analyst Duration: 6 month contract to hire Hourly rate: $50-60hr Desired Skills and Experience: 4+ years of experience as a Business Analyst with Salesforce Service Cloud CRM in a customer service or contact center environment. 4+ years in customer experience in a contact center environment. Strong understanding of contact center processes, KPIs, and omnichannel tools. Excellent communication, facilitation, and documentation skills. Experience working in Agile, Jira, Confluence. Day to Day: Insight Global is seeking a collaborative and detail-oriented Salesforce CX Business Analyst to join our growing team. This role will support the Technology Program, partnering closely with cross-functional teams to optimize our Salesforce platform and drive improvements across our customer engagement channels. The Salesforce Business Analyst will play a critical role in advancing our program by identifying, designing, and supporting Salesforce-driven solutions that enhance customer experience and operational efficiency. This individual will serve as a key liaison between Product Owners, CxO business stakeholders, Vendors, and strategic business partners, ensuring Salesforce capabilities are fully aligned with contact center objectives.

Senior Healthcare Business Intelligence Analyst Company: Leap Metrics We are accepting applications for the Senior Healthcare Business Intelligence Analyst position to work on a product that helps improve the health of our population. Do you enjoy working with leading-edge technologies? Be part of a fast-moving, fast-growing, innovative technology team. Directly improve the daily lives of tens of thousands of our neighbors? If so, please contact us! Who We Are Leap Metrics is headquartered in Richardson, TX. We are a healthcare analytics and care management software company founded to improve health outcomes, lower the cost of care, and improve regulatory compliance. Our software platform is called Sevida, which stands for “In the service of human lives”. We are on a mission to leverage technology to serve populations with chronic healthcare needs. We are a company of experienced technologists; a passionate, dedicated group of developers, designers, client advocates, and entrepreneurs. Our team has some of the best enterprise software minds in the technology industry. To learn more about us, please visit our website at ********************* Why Work for Leap Metrics? MEANINGFUL MISSION - Empowering health providers to focus on care FULFILLMENT - Make an impact by building a meaningful product LEADING EDGE TECHNOLOGY - Advance your technical skills by working with the latest and most innovative technology. COMPANY CULTURE: - team-oriented, collaborative, supportive, innovative We are accepting applications for a Senior Healthcare Business Intelligence Analyst position to manage the processes of a product that helps improve healthcare. Do you enjoy working with leading-edge technologies? Do you want to join a fast-moving, fast-growing, innovative technology team? Do you have a passion for products that directly and positively impact human lives? What You Will Do: Conduct in-depth analysis of BI requirements for our healthcare product. Tackle complex business problems by converting raw data into meaningful and actionable business insights. Design and implement data models to support business intelligence. Design, develop, and maintain scalable and efficient BI solutions that enable customers and internal stakeholders to make informed decisions. Collaborate with cross-functional teams, including customers, business analysts, data scientists, and engineers. Work closely with the engineering team to integrate data from various sources and ensure data quality and consistency. Apply advanced SQL skills to build data models that power BI Dashboards Utilize Sigma BI Tool to create dashboards, reports, and data visualizations that provide healthcare insights into population health and care management. Ability to assist in analytics projects across departments as needed. Requirements: Bachelor's degree in Computer Science, Information Technology, a related field, or equivalent qualification. Proven Healthcare Experience 5 Years of experience as a BI Developer or similar role. Strong experience with Data Modeling and advanced SQL. Proven experience with BI tools such as Sigma BI, Power BI, and Tableau. Expertise in creating aesthetically pleasing Dashboards. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Knowledge of modern data warehousing concepts and best practices. Demonstrated experience and proficiency with: Strong analytical and problem-solving skills. Proficient with advanced Excel skills Ability to work independently but function as part of a team Strong organizational and time management skills Detail-oriented and Accountable Excellent verbal and written communication skills, with the ability to interact effectively with all levels in and out of the organization. Nice to Have Skills / Experience: Healthcare industry experience Experience with Sigma BI Python programming language experience Experience with ETL tools Additional certifications in related BI tools or data technologies. Deep understanding of data warehousing concepts, including experience with tools like Snowflake, Redshift, or BigQuery and familiarity with dbt, airflow, or other similar data platforms. Location: US only - Dallas/Ft. Worth Metroplex Benefits: Competitive salary (commensurate with experience) Comprehensive benefits package. Paid time off

Akkodis is seeking a Senior Data Architect for a Contract with a client located in Dallas, TX (Hybrid). Pay Range: $80/hr - $90/hr, The rate may be negotiable based on experience, education, geographic location, and other factors Must have Oracle Exadata, ETL, Informatica, Golden Gate, and MDM. Job Description: Primary responsibilities of the Senior Data Architect include designing and managing Data Architectural solutions for multiple environments, including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in an expert role and will work closely with Business, DBA, ETL, and Data Management teams, providing solutions for complex data-related initiatives. This individual will also be responsible for developing and managing Data Governance and Master Data Management solutions. This candidate must have good technical and communication skills coupled with the ability to mentor effectively. Responsibilities Establishing policies, procedures, and guidelines regarding all aspects of Data Governance Ensure data decisions are consistent and best practices are adhered to Ensure Data Standardization definitions, Data Dictionary, and Data Lineage are kept up to date and accessible Work with ETL, Replication, and DBA teams to determine best practices as it relates to data transformations, data movement, and derivations Work with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movements and data transformations Work with and mentor Data Architects and Data Analysts to ensure best practices are adhered to for database design and data management Assist in overall Architectural solutions, including, but not limited to, Data Warehouse, ODS, Data Replication/ETL Data Management initiatives Work with the business teams and Enterprise Architecture team to ensure the best architectural solutions from a Data perspective Create a strategic roadmap for MDM implementation Responsible for implementing a Master Data Management tool Establishing policies, procedures, and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented, and best practices are adhered to Qualifications 5+ years of Data Architecture experience, including OLTP, Data Warehouse, and Big Data 5+ years of Solution Architecture experience 5+ years of MDM experience 5+ years of Data Governance experience, working knowledge of best practices Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP, and best practices for data tracking Good Communication skills Self-Motivated Capable of presenting to all levels of audiences Works well in a team environment If you are interested in this role, then please click APPLY NOW . For other opportunities available at Akkodis , or any questions, please contact Anirudh Srivastava at ************ or ***********************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. 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 ******************************************

We are seeking a highly experienced Lead GCP Data Engineer to design, build, and optimize scalable data engineering solutions on Google Cloud Platform. The ideal candidate will take ownership of building robust data pipelines, ensuring best practices, and leading engineering teams to deliver high-quality data solutions for analytics, reporting, and business operations. Key Responsibilities Lead the design, development, and deployment of data pipelines and data integration workflows on GCP. Build and optimize data ingestion, transformation, and storage using tools such as Dataflow, Dataproc, Pub/Sub, Composer, BigQuery, Cloud Storage, and Cloud Functions. Collaborate with data architects, analysts, and business teams to translate requirements into technical solutions. Develop and maintain ETL/ELT frameworks, ensuring scalability, performance, and reliability. Implement and enforce best practices around data quality, data validation, metadata management, and documentation. Conduct performance tuning for BigQuery, Dataflow, Spark jobs, and data pipelines. Drive cost optimization strategies for GCP data workloads. Ensure compliance with data security, governance, and access control policies. Provide technical leadership, mentoring, and code reviews for the data engineering team. Contribute to architecture discussions and technology strategy for cloud data platforms.

About the Company As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering it's about enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP. You'll be the extension business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI-driven transformation. About the Role As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. Responsibilities Build, develop, and implement modern AI-ready data architectures, integrations, and application solutions that span multiple platforms and technologies. Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics. Integrate Agentic AI frameworks to automate multi-step workflows and decision-making. Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and support integrations between enterprise systems including data lakes, warehouses, and third-party APIs ensuring performance, reliability, and data consistency. Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics. Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions. Collaborate with other developers, data analysts/engineers, and vendors to deliver multi-functional solutions. Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories. Ensure data governance, security, and compliance across all solutions. Remain up to date in new and emerging technologies. Qualifications Bachelor's or Master's degree in computer science, Data Engineering, or related field. 10+ years of experience with at least 3 years' experience in data architecture, data products. Required Skills Proven expertise in building Data platforms & Data products. Solid understanding of NLP, LLMs, and advanced analytics workflows. Hands-on experience with Agentic AI systems and frameworks. Substantial experience with data modeling, integration patterns & semantic technologies. Exposure to Ontology & Knowledge Graph is a plus. An understanding of Master Data Management and Data Governance frameworks. Experience with BI/reporting tools. Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse). Experience with data modeling, metadata management, and orchestration tools. Excellent communication and collaborator leadership skills. Experience working in agile environments and leading multi-functional teams. Preferred Skills Exposure to Ontology & Knowledge Graph is a plus. Pay range and compensation package Full time Opportunity Equal Opportunity Statement Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Our client, a growing 170-person insurance group based in Dallas, is looking for a Senior Business Analyst. This is an excellent opportunity to help develop this firm's BA function including implementing various AI tools as well as creating various dashboards, reporting, and implementing other projects across the organization. This role will report to the President of the company and work with stakeholders across the firm. The firm is expected to continue adding staff into this function so it's a great opportunity to get in on the ground floor and help build out the function. Requirements: Bachelor's degree in Business, Computer Science, or related field. 3-6 years of experience as business, systems, AI analyst, or project/product manager. Ability to work in a fast-paced environment and manage multiple priorities. Excellent problem-solving, analytical, and communication skills. Insurance and/or consulting industry experience required. Strong SQL skills are a must. Experience with data visualization and reporting.

Scouting America is seeking a detail-oriented and strategic Philanthropic Business Analyst to join our National Office of Development team. This role plays a key part in enhancing fundraising effectiveness through high-quality data analysis, reporting, and prospect identification that support strategic decision-making and deepen donor engagement. The Philanthropic Business Analyst will manage and interpret donor data to generate actionable insights and strengthen operational efficiency across the fundraising function. The ideal candidate combines analytical expertise with a commitment to advancing Scouting America's mission, working collaboratively and independently to drive data-informed strategies and optimize fundraising performance. This position reports to the Director of Development Services. Responsibilities Analyzes donor and fundraising data to uncover trends and opportunities. Delivers actionable, data-driven recommendations to enhance campaign performance and donor engagement. Develops predictive models to forecast giving trends and inform strategy. Champions data literacy and foster a culture of data-informed decision-making. Designs and maintains dashboards and reports using CRM and BI tools (e.g., Power BI, SQL, Excel). Ensures data accuracy, integrity, and usability across fundraising systems. Supports recurring reporting needs and implement business intelligence tools. Trains staff in interpreting data and utilizing reporting tools effectively. Collaborate with CRM, IT, and cross-functional teams to structure and clean data for analysis. Improves operational processes and policies to enhance efficiency and effectiveness. Manages donor-related data for events and communications, including segmentation and tracking. Maintains data hygiene through regular audits and updates (e.g., duplicates, deceased records, solicitation preferences). Stays current on best practices in analytics and nonprofit fundraising strategy. Performs other duties as assigned. Competencies Knowledge of: Fundraising strategy and donor lifecycle; CRM systems (e.g., Blackbaud CRM, Raiser's Edge, Salesforce, Microsoft Dynamics); BI and data visualization tools (e.g., Power BI); Data analytics tools (SQL, Excel, etc.) Skills in: Analyzing and interpreting complex data; communicating insights through clear storytelling; collaborating with technical and non-technical stakeholders; project planning and time management. Ability to: Present complex findings to diverse audiences; align analysis with strategic development goals; translate data into recommendations for action; work independently and manage multiple priorities. Qualifications 2+ years of data analysis experience, ideally in a nonprofit or fundraising setting. Must be proficient in CRM systems, especially Blackbaud CRM, and possess strong analytical and communication skills. Ability to transform complex data into clear, actionable insights and presenting findings to diverse stakeholders, regardless of their data fluency. Must pass a criminal history background check. Any work-related experience resulting in acceptable proficiency levels in the above Minimum Qualifications is an acceptable substitute for the above-specified education and experience requirements Preference Experience in a federated nonprofit model and familiarity with nonprofit fundraising strategy, including major gifts and annual giving.

Greetings from Photon!! Who are we? Photon has emerged as one of the world's largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. For a brief 1 minute video about us, you can check ***************************** We are seeking a Senior IT System Analyst with advanced Product analyst experience to play a critical role in building and enhancing a complex Investment Platform. This position is ideal for a client-focused, strategic thinker with deep analytical skills who thrives at the intersection of business operations, data, and product innovation. Your role will blend leadership and planning expertise with a passion for delivering results. This role requires a self-starter who can champion collaboration and cultivate close partnerships with business stakeholders and development teams to help craft and implement solutions across both client (front-end) and server-side (back-end) technologies. Key Expertise and Experience 10+ years of Systems Analysis experience. Demonstrated expertise in interviewing and extracting high-quality business requirements from stakeholders using the Agile/Scrum methodology. Ownership and execution of requirements analysis sessions to elicit business needs and translate them into clear, relevant system requirements. Anticipating, discovering through ongoing interaction with, and prioritizing client/partner needs to serve as their voice and guide Engineering Leaders and Technology teams. Excellent analytical, reporting, and problem-solving skills, including strong judgment, issue management, and root cause analysis techniques. Excellent interpersonal, relationship management, and facilitation skills. Demonstrated ability to effectively balance ** multiple tasks and priorities** in a fast-paced environment. Excellent verbal and written communication skills with keen attention to detail. Experience with Alternative Investments, Digital Assets, Private Market, or Liquid Alternatives is preferred. Required Skills and Background Bachelor's degree with 10+ years of experience as a product analyst, business analyst, or similar role in a digital or operational transformation environment, focused on customer or internal-facing solutions. Strong understanding of operations workflows and processes, preferably within financial services or another regulated industry. Ability to translate technical requirements and operational processes into intuitive, actionable product requirements. Demonstrated experience in informing product strategy and delivery, including opportunity identification, solution design, and collaborating with technology teams for implementation. Proficient with collaboration and planning tools such as JIRA, Confluence, Miro, or other analytics and product management platforms. Proficient with Agile development methodologies and working with cross-functional product teams, engineering teams, and business stakeholders. Strong communicator with proven stakeholder management and storytelling skills; effectively conveys technical and business concepts verbally and in writing, using data and visualizations. A resourceful problem-solver who can identify issues, explore potential solutions, and define the next course of action. Ability to facilitate challenging conversations with business stakeholders through strong presentation skills, using data and analysis to influence decision-making outcomes. Experience with and understanding of SQL, relational databases, and data models, and fluency with API contracts is preferred.

Company - Our client is a national healthcare services leader, widely recognized for its extensive network of occupational health centers. Known for innovation and operational excellence, this organization is committed to improving workforce health outcomes and is supported by a collaborative, data-driven culture. Job Title - Senior Outcomes Analyst Location - Addison, TX (hybrid, 3-4 days/week in office; candidates must live within 40 miles) Role Type - Direct Hire Must Have Skills: Proficiency in SQL and Excel Experience working with large, complex data sets Strong analytical skills for identifying trends, patterns, and operational behaviours Demonstrated ability to implement and monitor programs post-deployment Excellent written and verbal communication skills Responsibilities and Job Details: Analyze performance metrics and outcomes across multiple locations to identify inefficiencies and bottlenecks Support and maintain data infrastructure and pipelines (approx. 40% of role) Interpret data and contribute to program development and solutioning initiatives (approx. 60% of role) Collaborate with a small, close-knit team to deliver actionable insights for operational improvements Work closely with center teams to support strategic initiatives Communicate findings and recommendations clearly to both technical and non-technical stakeholders Administer outcome-based programs and track ongoing effectiveness Contribute to the continuous improvement of data processes and tools Participate in onsite interviews and technical assessments as part of the hiring process No relocation assistance provided; candidates must be USC or GC holders

We are hiring for Senior Salesforce Business Analyst. Title : Senior Salesforce Business Analyst / Technical Business Systems Analyst (Technical BSA) Required Skills : Salesforce , modernize data flows, and lead data quality Work Mode: Hybrid Location : Dallas TX (3 days required to work onsite) Contract / Right-to-Hire Please email me your resume at ******************************* or call ************ Position Overview The Technical Business Systems Analyst will support the Commercial Real Estate Systems team, specifically the Debt side of the business focused on loan operations. This role will work across two major systems: Salesforce Sales Cloud (CRM for borrower relationship management) An internally developed loan origination and servicing system The BSA will support Salesforce integration initiatives, modernize data flows, and lead data quality improvement efforts across both systems. The role requires a blend of technical capability, strong analytical skills, and excellent communication with business and engineering partners. Key Responsibilities Salesforce Integrations (Approx. 50%) Support ongoing Salesforce modernization and integration projects. Analyze existing Salesforce data structures and work with stakeholders to enhance CRM data, screens, and data flows. Write clear, actionable requirements for data movement between Salesforce and internal loan systems. Collaborate with Salesforce Admin and engineering teams on solution design and testing. Data Quality & Data Governance (Approx. 50%) Perform data analysis and data validation using SQL (SELECT queries, joins). Support data quality initiatives across both Salesforce and loan origination systems. Assist in deduplication efforts and improvements in borrower/party data accuracy. Participate in defining data governance improvements and documenting data rules. Business Analysis & SDLC Partner closely with business users to gather, refine, and translate requirements into functional and technical specifications. Manage requirements through the full lifecycle: intake ? documentation ? development support ? testing ? user validation. Facilitate communication between technical teams and business stakeholders. Coordinate and perform testing (UAT, functional validation). Required Qualifications Bachelor's degree required. 3-5 years of experience in Business Analysis, Product Ownership, or related roles. Strong experience writing business and technical requirements. Proficiency in SQL (SELECT statements, joins) for data analysis. Experience with Salesforce or another enterprise CRM (functional, not admin level). Preferred Qualifications Experience with Salesforce Sales Cloud objects (Accounts, Contacts, Opportunities) and understanding of backend CRM data models. Salesforce certification(s) (nice to have, not required). Experience with real estate, financial services, banking, lending, mortgage, or loan lifecycle systems. Experience with data visualization or analytics tools (Power BI, Tableau). Experience working with system integrations and understanding data movement between platforms. Thanks and Regards, Ankit Grover Sr. Executive - TA Iris Software 200 Metroplex Drive, Suite #300, Edison, NJ 08817 Email : ******************************* Phone : ************ ********************

Direct Hire (No C2C or third-party submissions) Schedule: 2 days onsite weekly Interview Process: 1st round is onsite; 2nd round virtual Responsible for driving the development, implementation, communication, and maintenance of technology policies, standards, and procedures that align with industry standards and regulatory requirements. Ensures technology processes adhere to regulatory requirements, effectively manage risks, and establish strong governance practices. Develops and implements controls, monitors compliance, and supports risk management activities. Requirements: Bachelor's Degree in Information Security, Computer Science, Information Technology, or a related field preferred. Minimum of six (6)+ years' experience working in Cybersecurity GRC, policy development, risk management, or a similar field. Experience with GRC tools (e.g., Archer, ServiceNow, OneTrust). Proficiency in using data analysis and reporting tools (e.g., Excel, Power BI). Relevant certifications such as CISM and/or CISA are highly desirable. Other must haves: Experience managing policy governance function such as leading policy updates, installing new policy, aligning regulatory & best practices Technical Process - needs expertise around understanding of alignment & frameworks and will be working with Product Owner Regulatory Frameworks Preferred: Financial services or banking background ServiceNow IRM (Integrated Risk Management) experience Duties: Lead the development and implementation of comprehensive cybersecurity and IT policies, standards, and guidelines. Continuously evaluate and update cybersecurity and IT policies to ensure they remain current and effective. Ensure policies comply with relevant laws, regulations, and industry standards (e.g., NIST, FFIEC, GLBA, NYDFS, SOX, PCI-DSS). Collaborate with cross-functional teams-including IT, legal, compliance, and other departments-to ensure cybersecurity policies align with business objectives. Translate complex information and documentation into clear, user-friendly concepts. Provide specialized expertise and consultation to perform framework-oriented risk assessments, identify deficiencies, generate reports, and recommend prioritized, actionable solutions to mitigate risks and enhance overall security posture. Stay informed about the latest cybersecurity threats, trends, and best practices. Maintain accurate and up-to-date records of policy reviews, risk assessments, training activities, and incident responses. Benchmark organizational policies against industry standards and best practices. Develop and implement governance frameworks for cybersecurity policy management. Monitor key performance indicators, conduct gap analyses and risk assessments, and implement frameworks as needed. Test and monitor the effectiveness of controls. Establish feedback loops and analyze metrics to continuously improve cybersecurity policies based on audit findings, incident reviews, and emerging threats. Lead and support internal and external audits and assessments of cybersecurity policies and practices. Ensure identified audit and assessment findings are tracked to closure. Maintain comprehensive documentation of all cybersecurity policies, procedures, and related activities. Communicate policy requirements and updates to all relevant stakeholders. Identify opportunities for innovation and improvement in cybersecurity policy and practice. Propose suitable mitigation strategies and verify the effectiveness of remediation plans.

Application Analyst II REMOTE Application Analyst II-REMOTE -Experience with Clinical 3rd Party Applications Experience with cardiology, radiology, lab, PACS, Sleep Lab (Cadwell) and PFT (Breeze Suite) Monday-Friday

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.