Data Analyst Vs Software Tester Jobs in Usa
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Role - Lead Data Analyst
Location : Denver, CO [Local Only] In-person client interview
Job Summary
This role is responsible for extracting meaningful information and providing the business with actionable recommendations to drive outcomes. Responsible for leveraging existing data sources and creating new analysis methods.
Major Duties And Responsibilities
- Actively and consistently supports all efforts to simplify and enhance the customer experience.
- Lead client teams to define clear business requirements for data analysis projects.
- Provide metrics definition, data visualizations, and ETL requirements.
- Extract, clean and engineer data to be ready for analysis.
- Interpret data, formulate hypotheses and develop an analytical approach to meet business requirements
- Create customer-readable reports using advanced visualization tools such as Tableau, PowerBI, Excel, etc.
- Work to obtain and ingest new reference data sources required to deliver on business need.
- Communicate results and make recommendations using data visualization and presentations.
- Create analyses and dashboards that are usable, elegant and industry leading.
Required Qualifications
- Ability to read, write, speak and understand English
- Demonstrated in-depth ability to analyze, interpret and present data
- Demonstrated in-depth ability to make decisions and solve problems while working under pressure
- Demonstrated in-depth ability to prioritize and organize effectively
- Demonstrated mastery of advanced analytics processes and reporting design principles
- Demonstrated mastery in SQL, Python, or R
- Demonstrated in-depth proficiency of design and implementation practices within data visualization tools
- Effective communication skills, verbal and written, for internal and external customers
- Ability to communicate complex technical concepts to all levels of an organization to aid in decision-making
Required Education
- Bachelor's degree in Computer Science, Engineering or related field; or equivalent experience
Required Related Work Experience and Number of Years
- 7+ years’ experience working within a data platform/data analysis environment
- 7+ years’ experience in a customer facing products/services environment
- Technical Lead, exp in more industries, more expert than Data Insight Analysts
Job Description:
Job Title: Data Analyst
Duration : 06+ months contract to hire
Location :Remote
Additional qualities to look for: Healthcare background is a plus
SQL, SSIS, SSRS, Active Batch, Control M, SQL Server
Strong Data Analysis, Data Validation, ETL
May include:
- Financial, pharmacy, claims, provider, and member data IRS, CMS, HHSC, HEDIS reporting
- Internal data cleansing and data reconciliation analysis
- Trend analysis in various functional areas of health care management
- Create and generate reports through MS-Excel, MS-Access, and SQL using Business Objects interface and direct links to core databases (ODS/EDW)
- Produce reports for and interface with senior management and internal and external stakeholders
- Gather and interpret business requirements and monitor data trends to proactively identify issues
- Execute data changes and update core systems as needed
- Handle multiple projects and timelines effectively and communicate risks and issues to manager regularly
- Assist with training lower level Data Analysts
- Performs other duties as assigned
- Complies with all policies and standards
Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status
Our client, Japanese Electronics manufacturing company, is seeking a Data Analyst in the Schaumburg area with 2+ years of experience.
Title: Data Analyst
Location: Schaumburg IL (Hybrid 3 days on site)
Type: Full Time Direct Hire
Salary: 55-60K
Key Responsibilities
- Develop and analyze eight-month sales forecasts; perform variance and gap analysis against actuals and plans.
- Monitor daily sales/order performance and deliver regular status and management reports.
- Identify data discrepancies and partner with sales to resolve issues and improve accuracy.
- Support short- and long-term sales planning through data-driven insights and risk analysis.
- Manage ERP (SAP/OASIS) master data and provide system support, enhancements, and user training.
- Support audit requirements and conduct market research and ad hoc analysis as needed.
Qualifications
- Strong verbal and written communication skills.
- Japanese language skill preferred.
- Professional collaborator with ability to support senior management.
- Detail-oriented and able to manage multiple deadlines with accuracy.
- Proficient in Excel, Power BI, Outlook, Word, PowerPoint, and SharePoint; skilled in database mining and large data analysis.
- Bachelor’s degree (or equivalent) with 2+ years of relevant experience.
**Please submit your application with a 1-2 page resume. Only qualified applicants will be contacted**
*U.S. citizenship and residency in the Atlanta area are required*
OneSparQ is looking for a Product Data Analyst to contribute to a growing wholesale distributor in Atlanta, GA.
Required Skills:
- Bachelors degree in information systems, Business Administration, Supply Chain or related field
- 3–5 years of experience working with product data, ideally within wholesale distribution, manufacturing, or consumer products environments
- Working knowledge and experience with enterprise-grade PIM Platforms (EnterWorks Preferred)
- Data governance, GS1 standards knowledge, and data analytics
- Proficiency in Microsoft Excel
- Working knowledge of SQL, data querying, and database extraction techniques
Additional Skills: (not required)
- ERP system knowledge (SAP, Oracle, Infor)
- Power BI Experience
Responsibilities:
- Manage and maintain product data within the Product Information Management (PIM) system, including product records, attributes, categories, and digital assets
- Oversee the full lifecycle of product data, from product onboarding and enrichment to discontinuation
- Collaborate with IT, Merchandising, Marketing, and Supply Chain teams to ensure product data is accurate, complete, and launch-ready
- Support PIM system workflows, integrations, and testing to ensure smooth data management across internal systems
- Maintain product data standards and conduct regular audits to ensure consistency, accuracy, and compliance
- Create and manage product content including titles, descriptions, specifications, and marketing details
- Coordinate the publication and distribution of product information to internal systems, eCommerce platforms, and external marketplaces
- Build and maintain reporting dashboards to track data quality, completeness, and vendor compliance
- Work with vendors and internal teams to resolve data issues and ensure proper product data submissions
- Provide training and support to internal teams on PIM tools, processes, and data standards
Job Title: Data Analyst/Scientist
Duration: 12 months | Temporary to Hire
Location: Elgin, IL 60196
Worksite: Remote | 8:00 AM - 05:00 PM
Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state (CST time zone).
Department Description
A world leader in the field of professional mobile communications systems with an impressive heritage of technological innovations and a global base of installed systems. The group's main business is the implementation of mission-critical digital mobile communication systems for Government & Public Safety Communications customers.
As a part of the Data Analytics team within the North America - Project Management Office (NA-PMO), you will be partnering with the Clients field organizations, finance, and Information Technology (IT) teams to initiate and support data-informed decision making in the underlying business.
Job Description
Responsibilities:
- Develop reports and dashboard to support various stakeholders such as finance, Procurement, IT and Sales
- Dashboard creation / visualization using Tableau, with Data extracted from Amazon Redshift and Snowflake.
- Perform predictive modeling and forecasting using Python, R and Tableau
- Design, extract and integrate data components from multiple sources, such as Amazon Redshift, Salesforce, Snowflake
- Design, develop, test, and maintain Google App Script projects for various applications within Google Workspace (Docs, Sheets, Forms, etc.)
- Driving and tracking the adoption of dashboards and reports to measure success; iterate as needed
- Detailed data validation to ensure directional accuracy
- Server license management and data access enablement as well as data visualization support
- Manage, update and document processes, websites, and training documentation.
- Drive the development of and deliver training on data sources/tools to enhance the end users' ability to analyze the business
- Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
- Perform rigorous testing and post-validation publishing of reports
Basic Requirements
- Bachelor's Degree (Computer Science, Math, or Statistics) or equivalent
- 3+ years of data analytics and reporting experience
Required Skills:
- Excellent data visualization skills
- Solid experience in creating dashboard reporting in Tableau is a must for this position
- Hand-on experience with Tableau, SQL, Salesforce, Python, R, Google App Script, HTML and Power BI are required for this role
- Proficient in Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports within these programs.
- Thorough understanding of data modeling and Extract, Transform, Load (ETL) processes.
Additional Preferred skills
- Experience with Smartsheet development.
- Excellent oral and written communication skills.
- Extremely detail-oriented and organized with a high level of commitment and follow-through.
- Ability to manage multiple priorities in a fast-paced, ever-changing environment.
- A motivated self-starter who can work both autonomously and collaboratively.
- Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
Duration: 6 months
Location: Berkeley, MO (Hybrid-2-3 days and or remote)
Successful completion of training is a contingency for this assignment - OJT or formal classroom training.
Regular and predictable attendance is required.
Job Description
The Company is looking for a highly experienced and detail-oriented Senior SAP Functional Analyst/Lead focusing on SAP Production Planning (PP) to join the team in Seattle, WA; Dallas, TX; Long Beach, CA; Miami, FL; North Charleston, SC; Berkeley, MO; or Hazelwood, MO.
The Functional Analyst/Lead will have in-depth knowledge and hands-on experience with SAP Production Planning (PP) modules. This position will focus on implementation and support of SAP projects and Products. A successful candidate will understand the importance of collaboration as this position will focus on working directly with multiple stakeholders including business, solution architects and developers to implement SAP projects.
Position Responsibilities:
- Conducts Workshops and contributes towards process solutioning
- Collaborates with cross functional teams comprising of business Subject Matter Experts (SMEs), Architects, Developers and System Integrators (SIs) (vendor consultants) on current processes and proposing solutions to enhance current systems for projects and products
- Identifies, recommends, and implements complex configuration solutions and implements full cycle configuration to meet business needs
- Creates and updates associated documentation including BPDs, Process Flows, Key decision documents (KDDs), configuration design documents(CDD), Functional Design Specs (FDS), and WRICEF objects.
- Translates functional specifications into application design documents, coordinates with the development team, tests new functionality or Enhancements, prepares test plans and test scripts, and performs unit tests and integration tests
- Propose and recommend SAP standardized best practices and solutions as per clean core guidelines.
- Participates in the project delivery during testing cycles and leads the root cause analysis and correction of issues
- Works with the usage of the SAP Solution Manager, Signavio
- Handles and leads the development of objects independently in collaboration with the team
- Works with the SAP project systems
- Understands the SAP Activate methodology and Agile (SAFe) development methods
- Contributes to the overall project management plan using SAP activate methodology
- Works with SAP S/4 Hana and FIORI
Basic Qualifications (Required Skills/Experience):
- 12+ years of experience with SAP PP consulting
- 4+ years of experience in S/4HANA Production Planning
- Experience with SAP S/4 HANA PP, QM
- Experience with 2 E2E full life cycle implementation in SAP S/4 HANA
- Experience with SAP Production Planning in a large and complex business environment
- Experience working with Interfaces
- Experience with SAP module specifics including user exits, batch jobs and standard SAP reports
Preferred Qualifications (Desired Skills/Experience):
- Experience with SAP Production planning including material master, MRP Types and lot sizing procedures, back flush, range of coverage, scrap and FIORI applications, MRP areas, MRP views, forecasting, planning strategies, demand management, BOMS, item categories, center-control keys, capacity levelling and evaluations, routing and advanced routing, strategy groups, usage of stock requirements, S&OP, Flexible planning, and SAP PP configurations
- Experience in the Aerospace and Defense industry
- Experience with special planning procedures
- Experience with discrete and repetitive manufacturing
- Experience with central function activities ECM/OCM/Batch
- Experience in cross functional integration with sales(SAP SD), procurement(SAP MM),warehouse (SAP EWM), costing(SAP FICO), quality(SAP QM)
- Experience with WBS
- Experience with S4 Hana PPDS, DDMRP,
- Experience with SAP Quality Management
- Experience with IBP or other planning tool is a plus.
- SAP certifications in SAP S/4 PP, QM, MM is a plus
- Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required.
Education / Experience:
Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.).
About Us
Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals.
Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early-stage startup, and we prioritize experimentation, innovation, and collaboration.
The Role
We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows.
You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time.
Responsibilities
- Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement-related files) for internal Python models.
- Operate and support internal Python models reliably, including troubleshooting and root-cause debugging.
- Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient.
- Build and maintain efficient data pipelines for recurring and ad-hoc analytics projects.
- Automate data transformation and reporting workflows with clean, reusable code.
- Support the preparation of audit-ready workpapers and other client-ready documentation.
- Participate in internal and client meetings as needed to clarify goals and communicate findings.
- Improve documentation, internal tools, and project templates.
What Success Looks Like
- You can run internal model workflows end-to-end with minimal oversight.
- You can diagnose and resolve issues independently and improve reliability for the broader team.
- You deliver meaningful improvements to performance, automation, and repeatability.
- You are a strong team player who supports delivery execution and reduces friction.
Required Qualifications
- Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts).
- Strong experience working with large datasets and performance constraints.
- Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets).
- Comfort in Jupyter notebooks and reproducible workflows (pandas required).
- Proven debugging ability and strong analytical judgment.
- Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred.
- Clear communication and a collaborative working style.
Nice to Have
- Experience with healthcare data or hospital finance/reimbursement workflows
- Familiarity with EPIC healthcare data
- Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases)
- SQL proficiency
Location, Logistics, and Process
- Nashville Hybrid or Fully Remote.
- Background check required.
- This role involves HIPAA-protected data and requires strict data security practices.
- Interview process includes a Python technical assessment.
Compensation & Benefits
This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance-based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match.
Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.
Responsibilities:
- Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
- Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
- Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
- Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
- Dynamically support boutiques with complex client reporting needs and initiatives
- Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
- Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
- Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
- Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications
Qualifications:
- 7+ years experience in data analytics or strategy/business intelligence role
- Experience with Salesforce
- Experience with Looker Studio
- Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
- Familiarity with IT functions, including system architect and landscape
- Expertise in Excel and PowerPoint
- Ability to communicate ideas effectively to a range of audiences (written & verbal)
- Luxury retail and/or brand experience preferred
Please submit your resume for consideration.
You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.
We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as
the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.
The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.
Key Responsibilities:
Client & Stakeholder Engagement
- Serve as the primary analytics point of contact for clients
- Present performance reports, dashboards, and model insights
- Translate complex statistical results into clear business recommendations
- Participate in strategy calls
Data Analysis & Reporting
- Analyze large datasets to identify trends, risks, and opportunities
- Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
- Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
- Segment performance by channel, risk tier, geography, or campaign
- Perform root cause analysis on performance shifts
Modeling & Optimization Support
- Work alongside data scientists to interpret model outputs
- Conduct A/B testing and performance experiments
- Identify segments with low performance and recommend optimization strategies
- Validate model deployment performance in production environments
Cross-Functional Collaboration
- Coordinate with underwriting, marketing, risk, and engineering teams
- Assist in translating business requirements into analytical frameworks
- Support compliance and reporting needs where applicable
Required Qualifications
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
- field
- 2–5+ years of experience in data analytics, preferably in fintech or lending
- Strong proficiency in SQL
- Experience with R or Python
- Experience with BI tools (Tableau, Looker, etc.)
- Excellent communication and presentation skills
- Ability to explain technical concepts to non-technical audiences
Preferred Qualifications
- Experience with underwriting analytics or credit risk modeling
- Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
- Knowledge of fraud detection metrics
- Experience working in a client-facing or consulting environment
Core Competencies
- Strong analytical thinking
- Business acumen
- Executive-level communication
- Detail-oriented but able to see big picture
- Proactive problem-solving mindset
The Operations Data Analyst will play a crucial role in applying data analysis and reporting to support operational performance, production scheduling, and process improvements. This position will work closely with operations teams to assist in scheduling tasks as needed, while also owning analytics processes, reporting, and data-driven insights that improve productivity, quality, and throughput.
***This is 100% on-site, full-time position in Madison, IN. Hybrid or remote work is NOT available.
Qualifications
Technical Skills
- Strong SQL skills: ability to write complex queries, join large datasets, optimize performance, and produce reliable analytical outputs.
- Advanced Excel expertise: pivot tables, VLOOKUP/XLOOKUP, Power Query, macros/VBA a strong plus.
- Experience with data visualization tools (Power BI, Tableau, or similar) preferred.
- Comfortable working with large datasets and generating meaningful insights.
Production Experience
- Understanding of production planning, operations workflows, and scheduling concepts — ideally in a manufacturing/industrial environment.
- Prior work in supporting production operations with analytical tools or capacity planning.
Education
- Bachelor’s Degree preferred — Analytics, Industrial Engineering, Supply Chain, Data Science, Business Analytics, Mathematics, or related field.
- Equivalent experience with strong technical skills considered.
Preferred Qualifications
- Experience with manufacturing ERP/MRP systems.
- SQL Server, MySQL, PostgreSQL, or similar database experience.
- Familiarity with scheduling tools or production modules within ERP systems.
- Knowledge of Lean Manufacturing or Continuous Improvement methodologies.
***FOR IMMEDIATE CONSIDERATION, PLEASE SEND A COPY OF YOUR UPDATED RESUME.