Senior Data Analyst- jobs at Kforce

Job Title: Data Governance Analyst Duration:12+ Months Must-Have skills for the role: Collibra , Snowflake , Tableau, Data modeling Data Governance and Program Management Nice-to-have skills: Analytic tools like SAS, Splunk reporting , Cloud is a plus SAFe Agile Job description: Resource should have 5+ years strong data warhouse, data lake and SAFE Agile Environments. Experience on with Collibra , Complex SQL , Snowflake/Redshift, Tableau , Data Modeling(Visio,Erwin) Driving Large Scale Migration project ,Data Migration and Integration in cloud Applications Work independently to develop analytic applications and hands on experience with analytic/reporting tools like sas , Splunk.. Well versed with SAFe Scrum process and Applying SAFe principles. Experience in handling teams building scalable ETL/ELT pipelines integrating into cloud applications/Snowflake Familiarity with data modeling, data warehousing concepts, and BI tools Proactively ensures that team tasks and related activities are completed on time and error-free Participate in the agile development process including backlog grooming, coding, code reviews, testing and deployment Experience in Handling DWH & Cloud Agile teams Below is a Plus/Good to have: Prior experience in a fast-paced Scaled Agile environment. Jira Align,Confluence Program management, Delivery Governance & Enterprise Data Quality Management. Experience with Data Analytics, SAS,Tableau ,Reporting Education needed for the role: Bachelors of Engineering or Equivalent

TITLE: Data Analyst ANTICIPATED DURATION: 6 months Responsibilities: Collaborate with internal teams and external partners to determine data requirements. Create templates for automated, seamless data collection into databases. Design and structure databases that capture all relevant information for reporting and analysis. Link internal and external data sources for meaningful insights. Create dashboards to highlight key metrics and overall business performance. Requirements: Prior experience designing data collection processes and structuring best practices. Strong analytical skillset; experience building recurring financial reports and visualizations. Required experience with Python, SQL, and Tableau. Understanding of consumer credit processes is a plus. Proven ability to influence and challenge outcomes to drive results. Excellent written and verbal communication skills. Big-picture thinker with curiosity and ownership of details. Strong collaborator with global business partners. The hourly pay rate range for this position is $65 to $75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to **********************. If you require assistance or an accommodation in the application or employment process, please contact us at **********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Title: AWS Data Analyst Duration: 6+ Months (with extension) Rate: $50-51/hour on W2 The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Required: Bachelor's degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles Proficiency in SQL, Python, or Scala for data transformation and processing. Working Knowledge of AWS services Proven experience in data analysis, business intelligence, or related roles. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills Ability to work independently and collaboratively in a fast-paced environment. Key Responsibilities Extract, clean, and analyze large datasets from multiple sources. Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. Develop and maintain dashboards and reports for business stakeholders. Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. Collaborate with cross-functional teams to understand data requirements and provide actionable insights. Ensure data integrity, consistency, and security across various databases. Identify trends, anomalies, and opportunities in data to drive business decisions.

We are looking for an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders through reports and dashboards to drive business decisions The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Responsibilities: Extract, clean, and analyze large datasets from multiple sources. Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. Develop and maintain dashboards and reports for business stakeholders. Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. Collaborate with cross-functional teams to understand data requirements and provide actionable insights. Ensure data integrity, consistency, and security across various databases. Identify trends, anomalies, and opportunities in data to drive business decisions.

12 Month Contract-to-Hire Columbus, OH $28/hr Our healthcare services client is seeking a driven entry-level Data Analyst to join their Financial Planning and Analysis team. In this role, you will support key financial analytics initiatives that guide decision-making for internal business partners. This is an excellent opportunity to gain exposure to senior leadership, strengthen your technical toolkit, and accelerate your career through our Elevate Program, which offers structured training and development. Qualifications: Bachelor's degree in Data Analytics, MIS, CIS, or a related field Hands-on SQL experience Hands-on Python experience Experience with data querying and analysis Proficiency with Tableau or other data visualization tools Strong written and verbal communication skills Job Responsibilities: Support financial planning and analysis activities alongside the analytics team Attend and contribute to project intake and requirements meetings Analyze data to identify trends and deliver actionable insights to partners Communicate findings with business stakeholders, senior leadership, and analytics teams Collaborate closely with senior Data Analysts on high-impact projects Why Should You Apply? Receive mentorship and support from experienced team members Access tailored technical training and professional growth through our Elevate Program Build your career with a Fortune 15 organization known for investing in early-career talent Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Key Responsibilities: Identifying and documenting Key Data Elements utilized in high profile dashboards, key business process and other ultimate use of data. Work closely with stakeholders to understand business processes, IT architecture, data flows (particularly downstream effects) and document system of records (or authoritative data sources), Data Owners, Key Data Elements attributes, Data Lineage. Together with Data Owners participate in the design and testing of data quality rules to be applied to each Key Data Element. Maintain the Business Glossary and report inventory (regulatory reports and non-regulatory reports). Capture data quality issues reported by stakeholders and input detailed information in the Data Quality Incident Management system for tracking purposes. Produce and monitor Data Quality KPIs. Support Root Cause analysis when a data quality issue is identified and / or process didn't work as expected. Document business requirement for future system and/or workflow enhancements and relate such requirements to the Data Governance framework. Work with data consumers to understand the source, creation process and purpose of data. Qualifications And Skills: Demonstrated experience in requirement gathering, documenting functional specification, designing testing scripts, conducting data analysis and gap analysis in tandem with Data Owners and other stakeholders Ability to present facts, project plans, milestones, achievements and recommended solutions in a concise and intuitive manner. Highly organized individual with exceptional attention to details, strong sense of accountability and collaboration skills. Work Experience: Relevant experience within the Data Governance field for a Financial Institution with focus on: documenting data requirements and data quality rules criteria; data quality issue logging and tracking. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Financial Data Analyst at Alpharetta , GA . Role : Financial Data Analyst Location : Alpharetta , GA 30005 / 3 days from Office Hiring Type: Fulltime with Genpact + Benefits Responsibilities Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment. Translate business needs and product strategy into detailed requirements and user stories. Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets. Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models. Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data. Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms. Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments. Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization. Minimum qualifications Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. 5+ years of experience in a similar role Strong understanding of fundamental and financial datasets, including company financials, market data, and research data. Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases. Familiarity with AI/ML data pipelines, model lifecycle, and related tooling. Experience working with cross-functional teams in an Agile environment. Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights. Prior experience in financial services, investment banking, or research domains. Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products. Preferred qualifications Deep understanding of Python, SQL, or similar scripting languages Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming) Familiarity with AI/ML platforms Understanding of data governance, metadata management, and data security best practices in financial environments. Experience with API standards (REST, GraphQL) and data integration frameworks. Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives. Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything webuild • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Addison Group is working with a logistics company in search for a Business Data Analyst to join their team! This is a contract to hire role and 5 days onsite in Tampa FL. Please apply to be considered. The Business Data Analyst will play a crucial role in supporting our logistics operations, reporting to the Director of IT. We are seeking a candidate that can build and maintain reporting tools (such as dashboards) to track data, define KPIs, generate reports, and build predictive models. This analyst is critical in assessing information technology systems, collaborating with stakeholders and implementing innovative solutions through the analysis of IT systems. The successful candidate will be strategic, analytical, and demonstrate the ability to perform routine business analysis using various techniques, e.g. statistical analysis, explanatory/predictive modeling, and data mining. Responsibilities: Support Operations with analytics and data reporting to deeply understand our customers and improve operational efficiency. Evaluate and recommend IT solutions, including applications such as e-courier and Transportation Management Systems (TMS) Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals. Support implementation of and work within a PowerBI environment to build, deploy and automate various analyses and dashboard reports. Organize large data sets and be able to summarize key findings to manager and team in daily/weekly operational reports; database characteristics (tables, fields, valid values) for broader team understanding and decision making. Provides recommendations for decisions affecting business operations and strategic initiatives. Conduct analysis from existing databases. Gather and analyze data for potential business expansion; Identify specific business opportunities and ways to capitalize on them. Influence stakeholders to support business projects Test business processes and recommend improvements Convert roadmap features into smaller user stories Write clear and well-structured business requirements and documentation Identify automation opportunities Create reports, dashboards and visualizations to help others understand business performance Analyze process issues and bottlenecks to make improvements Develop and maintain reporting tools Perform data discovery, analysis and modeling Collaborate with product managers on roadmap planning and workforce optimization Requirements: Experience with data analysis and modeling using Excel (2 years) and SQL (1 year); proficiency in SQL required. Excellent communication (written and oral) and interpersonal skills Bachelor's degree in computer science, Information Systems, Business Administration, or related field. Experience in logistics last mile delivery and transportation. Minimum of 5-7 years of experience as a Business Analyst in the IT industry. Entrepreneurial spirit and comfort navigating fast-changing, fast-paced environments. Excellent organizational, analytical and influencing skills. Benefits: Medical, Dental, Vision, 401(k)

Tremendous opportunity for a GIS Analyst to join a stable company making big strides in their industry. This is focused on the engineering side of the business! You will be able to gain experience in this critical technical role in the creation and support of critical feature data. You will answer ongoing questions and inquiries, generate new geospatial data, and provide flexible GIS service. Regular inventory analysis showing counts, mileage, and measurements of the system is anticipated. You will also directly perform geospatial data preparation and assemblage tasks.This technical role requires that you have a broad geographic understanding, the ability to correctly interpret geometrics and feature placement information received from the field, and a general understanding of the installation and maintenance activities undertaken by the Engineering Department sub-groups. Responsibilities: Perform and be responsible for the creation, modification, and quality control of essential geospatial infrastructure data for company wide use for a variety of critical applications, including the analysis and assembly of geospatial data utilized to assist PTC compliance. Utilize their practical knowledge to ensure field generated spatial data from various sources is properly converted into a functioning theoretical digital network compliant with the database and data model standards established for systems. Authorized to perform quality control checks, accept, and promote geospatial data change sets that are produced by the Geospatial Data Group's CADD technicians. Utilize a variety of GIS software tools to perform topology corrections and make geometric modification as part of the data quality review and acceptance process. Called upon to work with other involved groups and departments in a collaborative manner to fully utilize the technical skill sets of the Geospatial Data Group toward the Enterprise GIS goals. Assist the Sr. Geospatial Data Analyst with assorted GIS responsibilities as required per business needs. Leverage the company's investment in geospatial technology to generate value and identify cost savings using GIS technology. This is a 12 month contract position working out of our office in Midtown Atlanta 4 Days a week with 1 day remote. Our new office is state of the art with many amenities (gym, coffee shop, cafeteria, etc.) and paid parking. This is an excellent opportunity to work within an enterprise environment and an outstanding work-life balance. REQUIRED: 3+ years experience working with Data in a GIS environment Strong Communication skills, presenting and working across org. departments Experience with ESRI Suite (ArcGIS) Experience with data editing and spatial analysis Bachelor degree in GIS or similar (computer science, SW engineering, IT, etc.) PREFERRED: TFS Esri JavaScript API ArcGIS online and ArcGIS pro Experience with relational databases Experience with database queries (basic queries) SQL Must be authorized to work in the U.S./ Sponsorships are not available

Our client is seeking a Data Analyst to join their team! This position is located in St. Louis, Missouri. Assist in gathering and documenting business requirements from stakeholders Analyze data and provide insights to support decision-making processes Help in the development and testing of IT solutions and applications Collaborate with team members to troubleshoot and resolve technical issues Desired Skills/Experience: Completed Bachelor's degree from 2024 or 2025 Strong SQL skills Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $85,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

We're seeking a Data Analyst for our Transportation department to support our dynamic and growing transportation ecosystem. This role focuses on managing backend platforms, ensuring data integrity, supporting compliance, and enhancing the commuting experience for employees. Responsibilities: Provide operational support across transportation and mobility systems, ensuring day-to-day functionality, accuracy, and alignment with program policies. Generate recurring ridership, parking, and usage reports (e.g., PPPM, occupancy dashboards) Monitor and triage inquiries submitted through internal support channels (email, Slack, JIRA, etc.), escalating as needed to appropriate teams. Generate recurring utilization, ridership, parking, and usage reports Support documentation of operational workflows and partner playbooks Collaborate with field leads and workplace teams to ensure systems are functioning correctly Required Skills: 2+ years of experience in an Analyst or Analytical role Familiarity with enterprise platforms Excellent analytical & data skills Intermediate Excel skills (Pivot Tables, VLOOKUP, simple modeling) Excellent organizational and documentation skills Quick learner with high discretion, able to handle sensitive operational issues (e.g., parking equity, ride disputes, billing escalations) with professionalism and limited supervision. Preferred Qualifications: Experience with budgeting or contract tracking tools Background in workplace operations, facilities management, or mobility-related programs, with an understanding of cross-functional coordination. Familiarity with transportation-related compliance frameworks, such as commuter benefit policies, fringe benefit taxation, or regional mobility regulations. Pay Rate: $28-$32.50 ** Onsite expectations are 5 days a week in our San Francisco office

Job Title: Marketing & Merchandise Analyst - C-Shopper **This position is a 9 month contract opportunity that cannot support C2C or any form of sponsorship** The Marketing & Merchandise Analyst will work across various C-Shopper development initiatives, partnering with the C-Shopper team, internal data teams, and Circana/IRI personnel. This role focuses on driving adoption and impact of the C-Shopper Customer Insights platform among internal and external users, delivering actionable insights to improve decision-making and business performance. Key Responsibilities: Platform Development & Adoption Assist in C-Shopper platform enhancements to maximize value for internal and external stakeholders. Act as a subject matter expert (SME) and Customer Success resource for the C-Shopper team. Drive internal adoption of Customer Insights tools across Marketing, Merchandising, Loyalty, Operations, and Finance teams. User Engagement & Training Coordinate and conduct onsite and virtual meetings with internal teams. Deliver training sessions and provide Help Desk support for assigned user groups. Initiate ongoing interactions with user groups to share insights and best practices. Analytics & Insights Delivery Produce analytics projects and presentations to support internal and external business needs. Provide guidance and case studies demonstrating high-value insights for user groups. Partner with user teams to act as the voice of the customer, influencing customer-centric strategies. Customer Success & Support Manage onboarding and ongoing support strategies for internal users. Support external supplier projects with ad hoc analytics and presentations. Define and track metrics for program impact, customer satisfaction, and platform usage. Continuous Improvement Anticipate and remove barriers to project success. Conduct evaluations and gather feedback from user groups to improve adoption. Monitor market and customer trends to enhance user experience and operational excellence. Qualifications: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to manage multiple projects and collaborate across teams. Familiarity with customer insights platforms and retail analytics preferred.

Hours/Schedule: Schedule: 8:30am to 5pm with a 30-minute lunch or 8 to 5 with an hour lunch - Potential OT. Hybrid - Onsite 3x per week. Day to day: There is a development and recurring or operational focus for the analyst. The development work is consultative, customer-facing, and requires understanding I/S business processes. Work involves facilitating meetings, gathering and documenting requirements, interacting with management and multiple teams to complete work, designing and developing a solution, and presenting outcomes to customers. This work requires a technical focus as well as a business perspective and consultative mindset. The recurring or operational work is recurring, repeatable tasks and includes one-time ad-hoc requests. Recurring reports and data entry are well defined and are as automated as possible. Recurring work is reviewed annually at a minimum to ensure it continues to meet business needs. This work requires knowledge of reporting and data tools and communication with customers. The operations focuses on timeliness, accuracy, consistency, and providing the key customer insights and analysis to help with business needs and decisions. Responsibilities: Creates and analyzes reports to support operations. Ensures correctness of analysis, and reports findings in a concise manner to senior management. Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided. Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes. Revises existing reports and develops new reports based on changing methodologies. Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics. Communicates and trains employees and managers on the complex database programs used to generate analytical data. Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions. Experience: 4 Years Research and analysis experience. Skills: Strong organizational, customer service, communications, and analytical skills. Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts. Knowledge of relevant computer support systems. Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs. Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development. Strong understanding of relational database structures, theories, principles, and practices. Required Software and Other Tools: Advanced knowledge of Microsoft Office. Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases. Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes. Education: Bachelor's degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Shailesh Email: ********************************* Internal Id: 25-53080

About the Company Step into a high-impact Assistant Data Analyst role supporting a fast-growing consumer products business. You will work with data from more than 30 international markets and multiple business models, transforming complex datasets into strategic insights that leaders rely on. If you enjoy solving challenging problems, building powerful reports, and influencing decisions with data, this role gives you a chance to make your work visible at a global level. About the Role You will sit at the intersection of data, operations, and strategy-partnering with regional teams and senior stakeholders to ensure data is accurate, timely, and meaningful. This opportunity is ideal for someone who enjoys both the technical and business sides of analytics and expand experience working within international environment. Responsibilities Support and help oversee the collection and processing of data from 30+ countries, ensuring accuracy, consistency, and on-time delivery across all international channels. Conduct comprehensive analysis on global sales and inventory data to develop recommendations for inventory optimization and improved business performance. Collaborate with data analytics teams and regional stakeholders to ensure required data is captured within agreed timelines and defined standards. Facilitate seamless data flow between systems and business users, enhancing accessibility, usability, and reliability of datasets. Act as a liaison between the central data organization and various regional and business partners, clearly communicating data requirements, expectations, and deliverables. Leverage advanced Excel functionality, including Power Pivot and data models, to build reports, dashboards, and analytical tools. Independently manage projects of moderate complexity and provide business-focused support on larger, cross-functional data initiatives. Prepare and deliver regular reports, insights, and strategic recommendations to senior leadership and other key stakeholders. Ensure data quality controls are followed and contribute to continuous improvement of international data management processes. Qualifications Bachelor's degree in Business Analytics, International Business, Data Analytics, or a closely related field. MBA or a Master's degree in Analytics or a related discipline preferred. 4-6 years of experience in data analysis and data management within a global or multi-region business environment. Prior experience working with international data sources and stakeholders across varied business models. Demonstrated track record of using data to support strategic business decision-making. Required Skills Advanced experience working with data models and complex data structures, particularly in large, multi-country environments. Programming experience with Python for data processing, automation, and analysis tasks. Comfortable working with large, complex datasets drawn from multiple business models and international sources. Strong analytical capabilities with advanced proficiency in Power BI, Power Pivot, and Microsoft Excel. Solid understanding of data management concepts and how they support broader business objectives. Proven ability to interpret data and convert findings into clear, actionable business recommendations. Effective project management skills, including planning, prioritizing, and executing moderately complex data projects. Knowledge of international business structures (joint ventures, subsidiaries, distributors) and their differing data requirements. Excellent written and verbal communication skills, including the ability to present complex analytical insights to non-technical stakeholders. Ability to thrive in a dynamic, global environment and manage competing priorities. Willingness to accommodate meetings and calls across multiple time zones as needed. Preferred Skills Advanced Microsoft Excel, including Power Pivot, data models, pivot tables, advanced formulas, and complex spreadsheet design. Power BI (or similar BI tools) for building dashboards, visualizations, KPIs, and self-service reporting solutions. Python for data manipulation, automation scripts, and analytical workflows. Experience working with large data extracts from ERP, CRM, or data warehouse systems. Strong proficiency with standard office productivity tools (Outlook, PowerPoint, Word) to support communication and presentation of analytics. Pay range and compensation package Pay Rate: $35-$40 per hour Note: Must be ok to work onsite Monday through Friday 40hrs/ a week. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

Our client is seeking a Senior Data Scientist to join their team! This position is located in Greenwood Village, Colorado. Analyze, model, and interpret complex datasets to extract actionable insights Design and implement advanced statistical and machine learning models based on organizational needs Collaborate closely with cross-functional IT and data engineering teams to support data-driven decision-making Develop innovative methods for integrating large-scale data, with a focus on information technology use cases Ensure research findings and analytical outputs are digestible and effectively communicated to stakeholders Translate data insights into strategic plans that deliver measurable business value Follow and apply strict company and industry guidelines related to data governance, compliance, and privacy Build and maintain strong working networks with internal teams and external subject matter experts Utilize advanced data mining techniques such as clustering, regression, decision trees, SVMs, and more Employ collaborative filtering, k-nearest neighbors, market basket analysis, and matrix factorization approaches as part of solution development Work with cutting-edge technologies, high-performance computing environments, and proprietary software Desired Skills/Experience: 10+ years of professional experience in data science, analytics, machine learning, or a related field Advanced proficiency in data mining techniques including clustering, regression, decision trees, and support vector machines Strong background in statistical analysis, predictive modeling, and algorithm development Experience working with complex data systems and IT-focused analytical environments Excellent written and verbal communication skills, with the ability to simplify and present complex findings Demonstrated experience adhering to strict data privacy, governance, and security standards Proven ability to work collaboratively as part of multi-disciplinary teams Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $58.00 and $84.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Hi We have an urgent opening for our client, Please let me know If you are interested in it. Job Title : Database Analyst Duration : 12 months 1) Analyze Medicaid claims, eligibility, provider, and encounter data to identify trends, anomalies, and opportunities for improvement. 2) Support program evaluation, policy analysis, and operational decision-making through data insights. 3) Design and maintain dashboards and reports using tools like Power BI or Tableau. Present findings to stakeholders in a clear, actionable format. 4) Work with internal teams, external partners, and leadership to define data needs and deliver solutions. Present findings to stakeholders in a clear, actionable format. 5) Ensure all work aligns with Agency's regulations, including HIPAA and state data governance standards. Document methodologies, data sources, and assumptions for transparency and reproducibility. 6) Support special projects, audits, and federal reporting initiatives as needed. 7) Assist in the development of technical documentation for recurring reports, data pipelines, and reporting logic to ensure consistency and knowledge transfer. 8) Develop and validate data extracts for federal and state reporting requirements, including CMS submissions and performance metrics. 9) Apply machine learning methods where appropriate to improve forecasting and risk stratification models. 10) Perform other duties as required. b. Required Knowledge, Skills & Abilities 1) Minimum Qualifications: a) Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. b) Five (5) or more years of experience in data analysis, preferably in healthcare or Medicaid. c) Strong proficiency in SQL/SAS, with working knowledge of Python for data manipulation, analysis, and automation tasks. d) Three (3) years of experience with data visualization tools such as Power BI, Tableau, or similar platforms for building dashboards and reports. e) Strong understanding of healthcare data, especially Medicaid or claims-based data f) Excellent communication skills and ability to present complex data to non[1]technical audiences. 2) Preferred Qualifications: a) Experience working with state or federal healthcare programs. b) Knowledge of Medicaid managed care, long-term services and supports (LTSS), or waiver programs. c) Familiarity with cloud-based data platforms (e.g., Azure, AWS). d) Experience with machine learning or advanced statistical modeling.

Job Title: Senior Marketing Data Analyst Company: Pond Lehocky About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers' compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement. Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance. Key Responsibilities: Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports. Analyze complex datasets to identify trends and develop actionable insights that align with business objectives. Develop, own, and manage recurring analytical and reporting processes. Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders. Proactively convey complex analytical findings, ensuring clarity and understanding across teams. Qualifications: Personal Attributes: Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly. Eager to learn and embrace new technologies and solutions. Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies. A collaborative team player with a positive outlook, eager to uplift and energize those around you. Key Competencies: Marketing Analytics: Familiarity with various marketing channels and their impact on business performance. Knowledge of industry trends and best practices in marketing analytics. Experience with experiment design, including A/B testing and multi-touch attribution modeling. Expertise in analyzing marketing performance metrics and calculating ROI. Statistical Modeling and Analysis: Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling Experience with statistical software such as SQL, R, Python, and Power BI. Nice to Haves: Experience in data visualization and familiarity with Salesforce. Knowledge of marketing research methodologies and tools. Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing Experience in developing and implementing machine learning algorithms for predictive insights. Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making. Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.

THIS IS A W2 (NOT C2C OR REFERRAL BASED) CONTRACT OPPORTUNITY REMOTE MOSTLY WITH 1 DAY/MO ONSITE IN CINCINNATI-LOCAL CANDIDATES TAKE PREFERENCE RATE: $75-85/HR WITH BENEFITS We are seeking a highly skilled Data Architect to function in a consulting capacity to analyze, redesign, and optimize a Medical Payments client's environment. The ideal candidate will have deep expertise in SQL, Azure cloud services, and modern data architecture principles. Responsibilities Design and maintain scalable, secure, and high-performing data architectures. Lead migration and modernization projects in heavy use production systems. Develop and optimize data models, schemas, and integration strategies. Implement data governance, security, and compliance standards. Collaborate with business stakeholders to translate requirements into technical solutions. Ensure data quality, consistency, and accessibility across systems. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. Proven experience as a Data Architect or similar role. Strong proficiency in SQL (query optimization, stored procedures, indexing). Hands-on experience with Azure cloud services for data management and analytics. Knowledge of data modeling, ETL processes, and data warehousing concepts. Familiarity with security best practices and compliance frameworks. Preferred Skills Understanding of Electronic Health Records systems. Understanding of Big Data technologies and modern data platforms outside the scope of this project.

Role: Senior Data Scientist · We are seeking a hands-on Senior Data Scientist to join our Insurance Analytics & AI Vertical. The ideal candidate will bring a blend of insurance domain expertise (preferably P&C), consulting mindset, and strong data science skills. This is a mid-senior level role focused on delivering value through analytics, stakeholder engagement, and logical problem solving, rather than people management. · The role involves working closely with EXL teams and clients on reporting, data engineering, transformation, and advanced analytics projects. While strong technical skills are important, we are looking for someone who can engage directly with clients, translate business needs into analytical solutions, and drive measurable impact. Key Responsibilities · Collaborate with EXL and client stakeholders to design and deliver data-driven solutions across reporting, analytics, and transformation initiatives. · Apply traditional statistical methods, machine learning, deep learning, and NLP techniques to solve business problems. · Support insurance-focused analytics use cases (with preference for P&C lines of business). · Work in a consulting setup: conduct requirement gathering, structure problem statements, and communicate insights effectively to senior stakeholders. · Ensure data quality, governance, and compliance with Data Privacy and Protection Guidelines. · Independently research, analyze, and present findings, ensuring client-ready deliverables. · Contribute to continuous improvement initiatives and support business development activities where required. Key Skillsets & Experience · 7-12 years of experience in analytics, reporting, dashboarding, ETL, Python/R, and associated data management. · Proficiency in machine learning, deep learning algorithms (e.g., neural networks), and text analytics techniques (NLTK, Gensim, LDA, word embeddings like Word2Vec, FastText, GloVe). · Strong consulting background with structured problem-solving and stakeholder management skills. · Excellent communication and presentation skills with the ability to influence and engage senior business leaders. · Hands-on role with ability to independently manage client deliverables and operate in cross-cultural, global environments. Data Management Skills · Strong familiarity with advanced analytics tools (Python, R), BI tools (Tableau, Power BI), and related software applications. · Good knowledge of SQL, Informatica, Hadoop/Spark, ETL tools. · Ability to translate business/functional requirements into technical specifications. · Exposure to cloud data management and AWS services (preferred). Candidate Profile · Bachelor's/Master's degree in Economics, Mathematics, Computer Science/Engineering, Operations Research, or related analytical fields. · Prior insurance industry experience (P&C preferred) strongly desired. · Superior analytical, logical, and problem-solving skills. · Outstanding written and verbal communication abilities with a consultative orientation. · Flexible to work in a fast-paced, evolving environment with occasional visits to the client's Chicago office.