Data analyst jobs in Orcutt, CA - 5,665 jobs

A data intelligence firm in San Francisco is looking for a Data Analyst to unlock the potential of unique data assets. This role involves collaborating with engineers to solve complex problems, conducting analyses, and generating visualizations. Candidates should have a Bachelor's degree and 2-4 years of relevant experience, with proficiency in SQL. The position offers a competitive salary range of $90,000 - $120,000, along with a comprehensive benefits package. #J-18808-Ljbffr

HockeyStack is an Applied AI company on a mission to automate sales, marketing, and customer success for B2B companies. We build the most complete and accurate picture of the B2B buyer by integrating with every tool your team uses, partnering with third-party data providers, and deploying custom AI research agents. We use this data to power applications that automate high-value, high-complexity workflows across the go-to-market and revenue teams. Our core products include: Marketing Intelligence - instantly answers questions like “What led to that sudden drop in pipeline?” Account Intelligence - surfaces next-best actions to help reps move target accounts toward conversion Since launching in January 2023, we've come through Y Combinator, raised a $26M Series A led by Bessemer. We're growing 3× year-over-year, have hit multimillion ARR, and process over 60 TB of GTM data monthly. Based at our San Francisco HQ, we operate fully in-person, move fast and hire people who are ready to win. 🚀 Your Mission We are seeking a customer-focused Data Analyst to help our clients answer their most important business questions around GTM revenue performance and marketing spend optimization. This is not a heavy data-engineering role; instead, you'll use HockeyStack's platform and available data to guide customers toward impactful insights and recommendations. 🔧 What You'll Do Partner with customers to solve their revenue goals, challenges, and questions. Use HockeyStack's platform to uncover insights and deliver clear, actionable recommendations. Translate complex metrics into straightforward explanations for non-technical audiences. Be the Data Partner to support Customer Success Managers in delivering strategic guidance to clients. Identify patterns and trends in marketing and sales data to advise customers on where to focus efforts. Collaborate with internal teams to continuously enhance the customer experience. 🧩 Core Strengths Business Insight: Ability to connect data to revenue outcomes and business strategy. Customer Orientation: Skilled at understanding client goals and delivering value through insights. Analytical Thinking: Comfortable framing and answering complex questions with data-driven logic. Clear Communication: Able to translate analytics into simple, impactful recommendations. 🧬 What We're Looking For Ownership-first mindset - you take initiative, move fast, and figure things out Thrive in early-stage, high-urgency environments where speed and impact matter Curious, self-aware, and feedback-driven - you bring energy, not ego See this role as a defining chapter - not a stepping stone or side quest Bachelor's degree in Mathematics, Statistics, Data Science, Applied Economics, or a related field. 1-3 years of experience in Data Analytics or Consulting with Analytical focus. Strong preference for candidates with Marketing Analytics or GTM/Sales Analytics Experience. Strong problem-solving skills with the ability to structure and answer key business questions. Excellent communication skills to convey data-driven insights to senior stakeholders. Familiarity with SaaS, B2B marketing, or revenue analytics is a strong plus. Ability to think strategically and recommend actions based on data, without needing to deep-dive into raw datasets. ✨ Why Join Now? We're at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You'll be joining a company with real traction, rapid growth, and meaningful backing-where every person still shapes the outcome. This isn't just a job. It's a chance to build something category-defining with people who care deeply about doing it right. We're building a high-performing, culture at our San Francisco HQ, where the team collaborates shoulder-to-shoulder. While that's our standard for most roles, this position is uniquely flexible-offering remote options for exceptional candidates based in the U.S. or internationally, as long as you're fully available during U.S. business hours. The base salary range for this role is $40,000 to $120,000 USD, adjusted for location, experience, and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees. #J-18808-Ljbffr

A dynamic analytics company in San Francisco is seeking a Data Analyst to join their team. The role involves collecting and analyzing data, generating reports, and collaborating with stakeholders to drive business decisions. Ideal candidates will possess strong analytical skills and proficiency in data analysis tools. This position offers a chance to significantly impact operational efficiency for clients. #J-18808-Ljbffr

The Role As a Data Analyst at Zencastr, you will partner with different departments and teams to make data-driven decisions that ship better products by delivering product insights and strategic recommendations based upon quantitative analysis. You will be involved in driving data-based decisions and lead initiatives to improve operational efficiency. You will be an active thought partner and subject matter expert in your data, deeply involved in new projects and all aspects of your stakeholders deliverables. We are searching for the right candidate who has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns. What You'll Do.. Partner across departments to build a rapport and be a trusted advisor to team members; Use an analytical perspective to inform decision making and help drive a focus on the most impactful ideas Navigate ambiguity of stakeholder requests and formulate hypotheses while building consensus Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis Identify trends and opportunities to drive product growth and nurture a healthy ecosystem Use BI tooling, construct core dashboards, visualizations, and analyses to help stakeholders monitor product health and make better decisions Communicate insights to stakeholders distilling complex analysis into accessible learnings; Deliver effective presentations to influence multiple levels of stakeholders Continuously improve your business acumen and understanding of Zencastr products and business, as well as the podcast/creator industry at large Understand underlying data sources and their limitations and communicate complex data insights through exploratory analysis and research to suggest improvement Conduct research on various business processes to uncover bottlenecks and provide recommendations to improve and align with the business goal Analyze various business-related effects, e.g. product optimization and improvement, market activity analysis, operation analysis, etc Collaborate with the operation team, analyze business operation efficiency, identify business problems, and provide optimization suggestions to improve operating efficiency If This Describes You.. 3+ years of data analytics experience, preferably for SaaS companies Strong SQL - experience navigating and working with data sets and developing data pipelines using SQL Has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns Undergraduate degree in quantitative major (Finance, Economics, Math, Computer Science) or equivalent experience Experience working with Product, Engineering, Sales & Operation teams Foundational understanding of data modeling best practices Experience using BI visualization tools like Metabase, Looker, Power BI or Tableau Experience using Analytics tools like Google Analytics, FullStory, Heap, Amplitude, Mixpanel Able to summarize, explain and simplify complex data analyses and concepts Ability to manage multiple deliverables simultaneously and proactively communicate changes and roadblocks Comfortable working collaboratively with various stakeholders across departments, including senior management Motivated to find a faster way to do your least favorite tasks #J-18808-Ljbffr

A cutting-edge technology company located in San Francisco is seeking a Data Analyst to power its new revenue operating system. The successful candidate will be responsible for building metrics and dashboards, providing strategic insights to leadership, and ensuring high-quality data foundations. This role is ideal for someone with strong SQL and Python skills, experience in fast-paced environments, and the ability to communicate complex data in simple terms. Competitive pay and benefits are offered. #J-18808-Ljbffr

A leading data solutions company is seeking a Data Partnerships Analyst in San Francisco. The role focuses on researching and evaluating data partnerships, ensuring access to high-quality data sources. Applicants should have strong analytical skills and experience in consulting or business development, preferably within the automotive sector. This position provides exposure to founders and investors, contributing to the success of an AI-native enterprise platform. #J-18808-Ljbffr

A rapidly growing tech startup is seeking a Data Analyst to transform data into actionable insights that influence Product and Marketing decisions. The ideal candidate will have 3+ years of experience in SaaS data analysis, strong SQL skills, and familiarity with tools like Tableau and Power BI. Responsibilities include executing analyses, building dashboards, and collaborating with various departments. The role offers considerable growth opportunities in a values-driven, fast-paced environment. #J-18808-Ljbffr

ABOUT BASETEN Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we're scaling our team to meet accelerating customer demand. THE ROLE We're hiring a Data Analyst to help build and scale our internal analytics capabilities. This is a foundational role where you'll create dashboards and data models to power business and product teams alike. You'll collect requirements, define key metrics, and deliver insights directly to stakeholders. You'll also lead your own projects to enable low-friction, self-service access to data across Baseten. RESPONSIBILITIES Build, enhance, and maintain dashboards across multiple functions with a focus on accuracy, simplicity and user experience Ingest and transform raw data into dashboard-ready views using tools like dbt, Airbyte, and BigQuery Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions Define and instrument core metrics around ROI, product adoption, customer lifecycle and financial performance Ensure data reliability and consistency through testing, version control and documentation across the analytics stack REQUIREMENTS 3+ years of experience in analytics, BI, or data engineering roles Strong SQL skills with the ability to write complex queries for data transformation and analysis Familiarity with modern BI platforms like Sigma or Hex Prior experience supporting B2B GTM organizations across the customer journey, with hands on experience in a CRM/CDP system Excellent communication skills and a collaborative approach to working with cross-functional teams An ownership mindset: you're excited to be the first hire in this role and to shape how data works at Baseten BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. #J-18808-Ljbffr

HQ Numeral is building the automation backbone for internet commerce - starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams. We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies - and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention. Numeral is small but mighty. Growth is already border-line unmanageable - which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you. Mission Running an online business today means wearing a thousand hats - most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love. We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof. About the role: As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations-playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences. This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes. Responsibilities: Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues Support our customer-facing teams with ad hoc data questions, investigations, and insights Build internal tooling and processes to streamline reconciliation and improve onboarding throughput Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture Qualifications: Proficient in SQL and Excel / Google Sheets Strong analytical and pattern recognition skills across large, messy, or multi-source datasets Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment) Strong problem-solving skills and ability to operate with autonomy in fast-moving environments Clear communicator with high attention to detail and a collaborative mindset Bonus Points For: Experience with DBT or similar ETL frameworks Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages) Prior exposure to tax, compliance, or accounting-related data A background in operations, finance, or technical customer success Why Join Us? Be a core builder in an ambitious, globally minded startup. Learn hands-on how to scale international compliance systems. Work across functions and with leadership early in your career. Make a visible impact immediately through enablement and operational design. Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities. #J-18808-Ljbffr

A financial technology company is looking for a Data Analyst in San Francisco to transform data into actionable insights. The role involves writing SQL queries, building visualizations, and identifying trends to inform product decisions. With experience in SQL and data visualization tools like Tableau, candidates should possess strong analytical and communication skills. An ability to analyze financial data accurately is essential, as the role directly influences company strategy and product roadmaps. Competitive salary range is offered. #J-18808-Ljbffr

A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare. #J-18808-Ljbffr

One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analyst, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. Play a key role in creating both product and client-facing analytics. Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations. About you At least 2 years of professional experience as a data analyst or a data scientist. Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly. Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.) Fast learner; curiosity about and passion for data. Compensation The US total compensation range for this full-time position is $110,000 - $150,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. Doximity is proud to offer industry-leading benefits. Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more! More info on Doximity For the past decade, it's been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people's lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We're growing fast, and there's plenty of opportunity for you to make an impact-join us! For more information, visit Doximity.com. EEOC Statement: Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #J-18808-Ljbffr

Job Title: Data Scientist - All Levels (Manager, Principal, Staff) Bentonville, AR (relocation package available only for Bentonville) Duration: Full Time IV Process: Pre-screening Three virtual client rounds (plus an additional round for Manager level) Multiple interviews can be scheduled in one day Positions Available (Exclusive): 1 Manager of Data Science 1 Principal Engineer of Data Science 3 Staff Engineers of Data Science Core Must-Have Skills Across All Levels Generative AI (Gen AI) Large Language Models (LLM, GPT, BERT, RAG) Time Series Modeling / Forecasting Prompting & Fine-Tuning Managerial/leadership experience per level (Manager → mid-size team, Principal → top of team, Staff → lead-level experience) Role-Specific Job Description Manager of Data Science Responsibilities: Lead a team of data scientists and ML engineers Build and deploy Gen AI and traditional ML applications for Walmart Finance Drive cross-functional projects in NLP, LLM, timeseries forecasting, and recommendation systems Maintain technical and business knowledge, mentor team members Requirements: Experience managing mid-size internal team of DS/MLEs Experience in NLP, LLMs, timeseries, traditional ML for retail/e-commerce Strong organizational, interpersonal, and cross-functional collaboration skills Principal Data Scientist Responsibilities: Develop LLM-powered intelligent systems (Q&A, recommendations, autonomous agents) Collaborate cross-functionally with DS, MLEs, UX, and product teams Deploy scalable AI/ML solutions, mentor junior DS Contribute to internal/external AI/ML research Requirements: Proven deployment of high-risk NLP applications in production Strong ML foundations (statistics, optimization, DL) Advanced proficiency in Python, ML/DS libraries, deep learning frameworks Familiarity with ML infra (Kubeflow, MLflow, Airflow) Bonus Skills: Text-to-SQL/Text-to-Cypher, recommender systems, fine-tuning LLMs, publications in top-tier ML/NLP venues Staff Engineer of Data Science Responsibilities: Lead data-driven projects for Finance using LLMs/Gen AI Build, deploy, and productionize AI/ML solutions for large-scale applications Collaborate cross-functionally with stakeholders and business owners Requirements: Master's/PhD in Statistics, Analytics, CS, or related field with 5+ years experience Hands-on experience with LLMs, Gen AI ecosystems (GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet) RAG, AI agent development, LangChain, LangGraph Strong solution architecture mindset and problem-solving skills Nice-to-Have: Big Data/Spark experience, Cloud ML (GCP, Azure), GPU DL training Behavioral Qualifications: Adaptable, problem-solver, technically strong, collaborative, able to manage multiple priorities

A data management company is looking for recent graduates with a chemistry or material science background to help structure customer datasets. The role involves preparing data for a web platform used by scientists and engineers. Applicants should be interested in software engineering, have proficiency in Microsoft Excel, and coding experience in Visual Basic or Python is preferred. This position offers competitive salary, health insurance, and 401K benefits. Position located in San Francisco, California. #J-18808-Ljbffr

Job Title: SAP Data Migration (BODS) Duration: 07 months+ Contract Notes: Details of the request include: Must-have skill requirements of the role: SAP BODS hands-on experience Must have completed data migration into SAP S/4 for at least 2-3 projects (Note: SAP BODS experience for BI/BW migration is different; we require S/4 migration experience. Santa Clara, CA; onsite once every 6 weeks. Contract Description: Experience - 8 years of end to end SAP data migration experience. Strong hands-on experience in SAP Business Objects Data Services (BODS) as technical developer. Good analytical skills to analyze the ETL issues and fix them independently. Should have experience in Data Migration project with an end to end SAP implementation. Should have good understanding of the BODS landscape and architecture. Should be able to connect to customers and gather requirements and work independently on those requirements. Qualifications: Thorough knowledge of developing conversion objects using SAP BODS, LTMC etc. Should have strong experience of end-to-end E-T-L process in SAP projects. Should be well aware of SAP master and transactional data objects in various areas such as SnP, OTC, Manufacturing etc. Should be able to run Mock data load tasks, analyze issues, coordinate with other teams, fix defects etc. Sound Knowledge of SQL.

La Placa Group is a privately held, entrepreneurial real estate investment company based in Southern California. With roots in custom home building and residential redevelopment, we have evolved into a diversified investment platform focused on distressed residential acquisitions and the strategic growth of our rental portfolio, with a long-term objective of scaling into small to mid-sized multifamily assets. We operate as a lean, fast-moving team where accountability is high, decision-making is direct, and execution matters. The Role We are looking for a dynamic, driven professional who wants to grow with our company and make a meaningful impact within a small but scaling team. This is a role for someone with grit, attention to detail, and an ownership mindset-someone who isn't afraid to jump in, take responsibility, and move quickly. As a Financial Analyst - Acquisitions & Asset Management, you will work directly with one of the firm's partners and play a critical role in identifying, underwriting, and prioritizing investment opportunities that align with our investment goals. Your job is to sift through a large volume of opportunities from multiple deal sources, elevate the highest-priority opportunities, and help drive them toward execution. Speed, judgment, follow-up, and consistency are essential. This is not a corporate or siloed analyst role. You will interface directly with ownership, internal team members, and external professionals, and your work will have a visible impact on the business. What You'll Be Doing Acquisitions & Underwriting Underwrite and screen a high volume of incoming deals across multiple sources Identify which opportunities fit our buy box and warrant offer submission Underwrite fix & flip, buy & hold, and small to mid-sized multifamily opportunities Perform scenario analysis to evaluate risk, returns, and execution strategy Audit, maintain, and continuously improve the company's proforma and underwriting models Support due diligence and acquisition execution with escrow, title, lenders, agents, and partners Deal Flow & Relationship Management Proactively follow up with wholesalers, brokers, and agents who provide deal flow Build rapport and maintain strong relationships with key deal sources Consistently promote the La Placa Group brand to keep deal flow active and top-of-funnel Take a hunter mentality toward keeping the pipeline full and relevant Asset Management & Reporting Maintain a real-time pulse on all active fix & flip, buy & hold, and rental assets Track project timelines, budgets, and execution milestones Provide weekly reporting to senior management on project status, priorities, and risks Ensure momentum and accountability across the lifecycle of each investment Any ad-hoc reporting / analysis requested from senior management What We're Looking For Bachelor's degree in Finance, Real Estate, Business, or related field 1-2+ years of real estate financial analysis or underwriting experience Multifamily underwriting experience is a plus Strong Excel & financial modeling skills Ability to move quickly while maintaining accuracy Highly organized with strong follow-through Get-it-done mentality with a strong sense of responsibility Ownership mindset-you treat the work like it's your own capital Coachable, team-oriented, and adaptable in a fast-paced environment What We Offer Competitive pay: $60,000-$72,000/year (DOE) Health insurance 401(k) Paid time off Opportunities for career growth and leadership within a rapidly expanding real estate group Collaborative, supportive environment where your work has a direct and visible impact Schedule & Location Full-Time, Monday-Friday 8-hour in-person schedule Newport Beach office

Job Description Department: 340B Reports To: 340B Director FLSA Status: Non-Exempt Wage Range the Company Expects to Pay Under the direct supervision of the 340B Director, the 340B Data Analyst analyzes the 340B program and produces reports that guide decision-making and track the program's financial impact on the organization. In addition, the 340B Data Analyst performs chart reviews to locate chart notes, consultations, medications, and referral orders to support 340B claims. The employee will review invoices, pricing, and prepare and maintain accounting documents and records. The data analyst will work with team members, clinic staff, outside medical staff, physicians, wholesalers, and other players in 340B to ensure all requirements are met. It is the primary purpose of CHCCC to provide the highest quality of total care possible to the patient population it serves. Such a level of quality depends ultimately on the staff's desire and ability to work together, individually, and as a team. The employee is expected to be professional, punctual, maintain regular attendance, cooperative, organized, and enthusiastic at all times. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Additional duties may be assigned with or without prior notice. Utilizes 340B reports to identify patient charts that require review for chart notes, consultations, and medication documentation and referral orders. Performs chart review, identifies presence or absence of required elements. Works with Specialty offices or Referral Department to retrieve the missing consultation documentation. Contacts pharmacies to obtain a copies of prescriptions when consultation documentation does not include medications referenced in 340B claims report. Interacts with multiple 340B program affiliates, including wholesalers, vendors, insurance providers, internal and contracted pharmacies, internal departments, medical providers, and regulators. Works with office staff, medication case managers, and physicians to ensure medication reconciliation is completed to reflect medications from 340B claims report. Works with office staff and physicians to ensure referral order is in chart for patients seen by and receiving prescription drugs from consulting specialist. Faxes consultations and prescription slips to Athena for scanning into patient's EMR. Works with the 340B team to verify 340B claims reports. Reviews invoice pricing and 340B financial reports, prepares and maintains accounting documents and records. Demonstrates professionalism and provides quality customer service using AIDET Standards. Demonstrates strong organizational and time management skills with the proven ability to work independently and meet deadlines with precision, intention, and efficiency. Identifies problems, questions, and concerns; conducts analysis; and addresses issues promptly to enable timely action, prevent losses, maximize reimbursement, and meet deadlines-supporting the organization's growth and stability. Helps to develop reports, charts, and tables to guide 340B decision making. Assists in 340B oversight committee reports and other committee reports. Assists in 340B fiscal year end reports and reconciliation for finance Cross analyzes financials reports and invoices to verify accuracy Identifies trends in the 340B space and proposes solutions. Demonstrates adherence to and observes all safety policies and procedures, including infection control rules and regulations. Demonstrates the knowledge of domestic violence, child, and dependent abuse protocols. Demonstrates cultural sensitivity and competence. Maintains and adheres to HIPAA, employee confidentiality, and privileged communications (patient, employee, and corporation). SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Four-year degree or equivalent experience - accounting or finance background preferred. LANGUAGE SKILLS Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of the organization. Candidate should have effective professional communication and writing skills. MATHEMATICAL SKILLS Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs. REASONING ABILITY Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. COMPUTER SKILLS Experience with word processing, spreadsheets, email, and keyboarding required. Microsoft Office, particularly Microsoft Excel, and Google Suite skills required. CERTIFICATES, LICENSES, REGISTRATIONS Possession of current, valid, unrestricted California Driver's License (Class C) required. OTHER REQUIREMENTS Required to pass a criminal history background check and drug screen upon hire. Annual health examination; annual Tuberculosis skin test clearance or chest x-ray; proof of immunity to MMR, Varicella, and Hepatitis B; proof of Tdap vaccine; during current flu season, must provide proof of influenza vaccine or a signed declination form. If declined, a flu mask is mandatory during flu season. Health screening requirements are subject to change based on CDC recommendations and federal, state, and/or local public health ordinances. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee frequently is required to sit. The employee is occasionally required to stand and walk. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently exposed to moving mechanical parts. The employee is occasionally exposed to risk of electrical shock. The noise level in the work environment is moderate. Must be willing to have a flexible work schedule that may include evenings/weekends, and travel as needed. The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required o

Our commitment to equal opportunity means ensuring that every student and employee has access to the resources and support they need to thrive and succeed in a university environment and in their communities. Cal Poly complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209 (Art. I, Section 31 of the California Constitution), other applicable state and federal anti-discrimination laws, and CSU's Nondiscrimination Policy. We prohibit discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of discrimination, harassment, and retaliation in all university programs, policies, and practices. Cal Poly is a diverse community of individuals who represent many perspectives, beliefs and identities, committed to fostering an inclusive, respectful, and intellectually vibrant environment. We cultivate a culture of open dialogue, mutual respect, and belonging to support educational excellence and student success. Through academic programs, student organizations and activities, faculty initiatives, and community partnerships, we encourage meaningful engagement with diverse perspectives. As a higher education institution, we are dedicated to advancing knowledge and empowering individuals to reach their full potential by prioritizing inclusive curriculum development, faculty and staff training, student mentorship, and comprehensive support programs. At Cal Poly, excellence is built on merit, talent, diversity, accessibility, and equal opportunity for all. How to Apply Interested candidates must submit the following documents: * Cover Letter * Curriculum Vitae (CV) * Research Plan - The research plan provides an opportunity to outline your proposed research agenda and demonstrate your expertise and potential as a researcher in the field of statistics at Cal Poly. * Universal Student Success Statement - Cal Poly is a public, student-centered university that serves the diverse constituents of the state of California and has a strong emphasis on the teacher-scholar model. Please detail your approach to teaching and learning at the collegiate level, including any evidence of experience with inclusive, accessible, and intentional teaching, to a wide variety of students and a description of how you will continue to develop this expertise at Cal Poly. Service or scholarship related to skills developed in these areas might also be included here. In your discussion of your approach to teaching, please also give particular attention to your philosophy, goals, and specific pedagogical strategies for teaching statistics to service students, majors, and graduate students. * Unofficial graduate transcript(s) as one document. These documents are not accepted in hard copy format. When completing the online faculty application, please be prepared to provide three professional references with names and email addresses. Official transcripts are required prior to appointment. Review of applications will begin November 14, 2025. Complete applications received after that date may be considered. For questions, please contact ********************************. Advertised: Oct 13 2025 Pacific Daylight Time Applications close:

The Statistics Department in the Bailey College of Science and Mathematics at California Polytechnic State University, San Luis Obispo, is seeking applications to fill multiple full-time, academic year, tenure track positions with appointment beginning August 17, 2026. The successful candidate will join Cal Poly's Statistics Department and contribute to teaching, scholarship, and service while also engaging in cross-disciplinary collaborations. Successful candidates must be committed to high-quality undergraduate and graduate education, with the ability to teach a range of statistics courses, including service courses, upper-division electives, and graduate-level courses. As scholars, faculty are expected to engage in quality scholarship as evidenced by external validation. As colleagues, faculty are encouraged to contribute service at all levels of the University, including department, college, university, and professional service. Opportunities exist to engage with the new interdisciplinary B.S. in Data Science program, jointly offered with the Computer Science and Mathematics departments, which will launch in Fall 2027, as well as with initiatives across the Bailey College of Science & Mathematics and the Noyce School of Applied Computing. The preferred candidate will also contribute to the growth of the Statistics Department's M.S. program by mentoring graduate students and advising thesis research. The typical teaching assignment is seven 3-unit semester courses per year on a 4-3 load, with opportunities for adjustments based on research mentoring, supervision of M.S. theses, or external funding. Teaching responsibilities will include courses at various levels of statistics for both majors and non-majors, upper-division electives, and graduate-level courses, with the possibility of developing new courses in the candidate's area of specialty. Appointment at the Assistant Professor rank is anticipated; higher ranks will be considered. Rank and salary are commensurate with qualifications and experience of the individual selected. * If appointed at the Assistant Professor rank, the anticipated hiring range is $97,788 - $107,628. * If appointed at the Associate Professor rank, the anticipated hiring range is $112,500 - $118,524. Bailey College is committed to maintaining the excellence of the University and to offering our students a rich variety of expertise, perspectives, and ways of knowing and learning. The successful candidate will be mindful to promote student success. Successful candidates should consider the University's goals in their approach to teaching, research, and service. Cal Poly embraces a teacher-scholar model in which faculty are expected to be excellent teachers, produce scholarship in their field of interest, and provide service to the institution. The selected candidate will consider using creative teaching approaches that enhance student learning and participate in scholarly practices such as peer-reviewed research, conference presentations, and grant development that leads to publication. The selected candidate will pursue a systematic program of research and scholarship, curricular improvement, and participate in service activities including committee service, student advising, and building industry relationships. Required Qualifications * Ph.D. in Statistics or a closely related field. * Demonstrated experience and commitment to student-centered learning. * Demonstrated ability to collaboratively work in multidisciplinary settings. * Evidence of (or potential for) high quality teaching and research with students. * Evidence of (or potential for) scholarly productivity. * Must provide evidence of (or potential for) promoting the well-being and advancement of students, colleagues, and the department. * Ability to work with a diverse population fostering a respectful, collaborative, supportive, and inclusive environment.