Data Jobs in US

The Data Analyst will be responsible for transforming raw data into meaningful insights using SQL and Python, developing dashboards and reports using Power BI and or Tableau, and supporting data-driven decision-making for stakeholders. What We Offer Opportunity to work on impactful, mission-driven initiatives Collaborative and inclusive team environment Exposure to enterprise-scale data analytics and reporting solutions Professional growth and skill development opportunities Mandatory Skills / Experience Minimum of 1 year of functional or data analyst experience Experience collecting, cleaning, manipulating, and analyzing large datasets Strong analytical skills including data cleaning, analysis, and visualization Experience creating and maintaining reports, dashboards, and ad-hoc analyses Proficiency with Microsoft Office Suite, including advanced spreadsheet usage Experience with data visualization and reporting tools such as Power BI and/or Tableau Familiarity with data warehouses, ETL tools, and/or other data storage solutions Understanding of business processes and translating end-user needs into actionable data Ability to conduct business analysis and research to identify key metrics and improvement opportunities Strong problem-solving skills with a logical, structured approach to analysis Excellent verbal and written communication skills, including the ability to present technical concepts to non-technical audiences Demonstrated time management and o...

Lensa partners with DirectEmployers to promote this job for Molina Healthcare. Job Qualifications Required Education Associate's Degree or equivalent combination of education and experience Required Experience 1-3 years Preferred Education Bachelor's Degree or equivalent combination of education and experience Preferred Experience 3-5 years To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

This role focuses on building robust data architectures while leading hands-on Data Governance initiatives to ensure data quality, consistency, and business alignment. Key Responsibilities Data Architecture & Design Design and implement scalable, secure data architectures supporting supply chain operations and analytics Develop and maintain conceptual, logical, and physical data models Ensure efficient schema design, performance optimization, and system integration Partner with business and technical teams to gather requirements and deliver data solutions Data Governance & Quality Lead the implementation of data governance standards, policies, and best practices Establish data quality frameworks, validation rules, and monitoring mechanisms Ensure data lineage, integrity, and compliance across data platforms Implement audit and issue management processes for data quality Manage centralized data assets including KPIs, metrics, definitions, and dashboards Define and track asset quality scoring and governance metrics Collaboration & Leadership Act as a key data advisor to business, analytics, and engineering teams Provide architectural guidance and promote enterprise data best practices Required Qualifications 10+ years of experience in Data Architecture, Data Modeling, and Data Governance Strong domain experience in Supply Chain, Manufacturing, or Logistics Proven, hands-on experience implementing Data Governance frameworks Strong proficiency in SQL and Python Experience building and managing ETL/ELT pipelines Experience with data warehouses, data lakes, and enterprise databases Solid understanding of data security, privacy, and compliance standards Strong communication and stakeholder management skills Preferred Qualifications Certifications in Data Architecture or Analytics Experience working in Agile environments Familiarity with DevOps and version control tools Exposure to advanced analytics, ML, or AI concepts Work Location Bay Area candidates with the ability to work onsite three days per week are preferred Lenora Systems is an Equal Employment Opportunity employer.

Position Overview The Lead Data Engineer – Finance & Accounting focus owns the design, development, and delivery of scalable, cloud-native data services supporting finance treasury and accounting functions, including financial reporting, reconciliation, billing, and operational accounting use cases. What You’ll Do Own end-to-end delivery of finance and accounting data service solutions, from requirements and architecture through implementation, testing, deployment, and support Design and implement Snowflake-based financial data architectures, including accounting-ready data models and DBT transformation pipelines Build and maintain high-reliability data pipelines supporting financial reporting, reconciliations, close processes, and downstream analytics Lead cloud data engineering initiatives across the data platform supporting general ledger, revenue, payments, claims, billing, and operational finance workflows Serve as technical lead on finance-focused projects, setting engineering standards, making architectural decisions, and ensuring deliver...

MUST HAVE: 5+ years of experience in data engineering within fast-paced, cloud-native environments Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto) Experience building and managing scalable ETL pipelines and data lake infrastructure Familiarity with distributed systems, Spark, and data quality best practices Strong cross-functional collaboration skills to support BI, analytics, and engineering teams EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations. YOUR ROLE Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. Basic Qualifications Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) 2+ years experience in computational linguistics or language data processing or AI data creation Experience with language data annotation systems and other forms of d...

Job Title: Oracle DBA Location: San Jose, CA RATE -- $48 PER HOUR ON C2C OR $40 PER HOUR ON W2 Client -- HCL TECH Job Description: We are looking for an Oracle DBA to manage and support Oracle databases. Responsibilities: Install, configure, and upgrade Oracle databases Monitor database performance and troubleshoot issues Perform backups, recovery, and routine maintenance Ensure database security and data integrity Requirements: Experience as an Oracle DBA Strong knowledge of Oracle database administration Basic troubleshooting and performance tuning skills Show less