Data analyst jobs in Milpitas, CA

We are seeking an experienced Data Analytics Consultant with strong Microsoft Power BI expertise to join our team. In this role, you will help clients transform their data into actionable insights through effective dashboarding, reporting, and analytics solutions. Key Responsibilities: Consult with clients to understand their business requirements and data needs Design, develop, and deploy Power BI reports, dashboards, and visualizations Transform raw data into meaningful insights using DAX, Power Query, and other BI tools Create data models that effectively connect multiple data sources Implement data governance best practices and ensure data quality Provide training and support to client teams on Power BI usage Stay current with Power BI updates and industry best practices Document solutions and knowledge transfer to client teams Qualifications: Required Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field 3+ years of experience with Microsoft Power BI development Strong understanding of data modeling, ETL processes, and dimensional modeling Proficiency with DAX, M language, and Power Query Experience with SQL and database concepts Excellent analytical and problem-solving skills Strong communication and client-facing skills Work Location This position requires onsite presence at client locations and/or our San Francisco office up to 2 days per week. Candidates must reside within a commutable distance of the San Francisco Bay Area. This position is hybrid (partial remote/partial onsite) and is not eligible for full remote work. About Us Amplytico is a specialized consulting firm helping energy companies transform data into business value. We combine advanced analytics with deep energy sector knowledge to uncover insights that empower organizations to pioneer the future of energy services. Learn more at amplytico.com Compensation As required by California law, the base salary range for this position in San Francisco is $90,000 to $135,000. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors. Amplytics is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ***************************

HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity. Job Title: Advanced Data Analyst Position Type: Full Time Location: Onsite Role Overview Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers. Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement. Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau. * Develop deep understanding of analytical data models. *Simulation Tools experience is must. Anylogic experience is big plus. * Support project development life cycles through data modeling, reporting and analytics. Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. Create training materials to guide business users on how to use dashboards. Participate in the creation and support of development standards and best practices. Explore and recommend emerging technologies and techniques to support/enhance BI landscape components. * Automate solutions where appropriate. Skills * At least 4-6 years of business intelligence and data warehouse experience. * At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL. * At least 1 year of experience with Tableau. * Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.) * Prefer a candidate with experience building and maintaining pipelines * Knowledge of ETL processes and designs. Pay and Benefits Pay Range Minimum: $59,000 per year Pay Range Maximum: $109,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Senior GTM Data Analyst - Internal Data Products (Contract) Duration: 4-6 months (extendable) Onsite: 2 days/week in San Francisco Remote: PST time zone only Though the role says salesforce and other skills, main one is strong SQL and if they have tableau for data visualization, that is ideal SaaS/GTM exp needed Notes collected when speaking to the manager Someone that has experience building internal tooling using SQL - understand saas, business sales funnel and how that contributes to revenue etc. someone that can translate customer need to tech reqts and go back and explain it to the customer Strong SQL query experience needed. Tableau is a big plus for visualization The ideal candidate understands sales marketing, GTM, Saas and uses that knowledge to provide market insights. Senior GTM Data Analyst - Internal Data Products The Senior GTM Data Analyst will design, build, and scale internal data products that power GTM planning, resourcing, segmentation, and performance visibility. This role combines technical expertise with deep understanding of SaaS GTM operations to translate business needs into reliable, scalable data assets. Own end-to-end data product development - from business requirements and technical design to build, deployment, documentation, and maintenance. Partner with GTM Planning, Sales Ops, Marketing Ops, and Finance to translate ambiguous business questions into clear data requirements and analytical frameworks. Develop scalable pipelines and models in SQL/Snowflake to support territory design, capacity planning, coverage models, segmentation, and forecasting workflows. Build intuitive dashboards and self-serve assets in Tableau that increase operational visibility and reduce ad-hoc requests. Evaluate, contextualize, and translate business processes (e.g., lead routing, account whitespace) into accurate and maintainable data logic. Perform rigorous testing to ensure data accuracy and reliability Serve as the SME for internal GTM models Operate independently with minimal oversight Requirements 5+ years of experience in GTM Operations, Revenue Operations, Sales Operations, or similar data-intensive role within a large or high-growth SaaS company; Background creating datasets and tools supporting territory planning, segmentation, scoring models, capacity planning, or pipeline health. Expert-level proficiency in SQL (complex joins, window functions, CTEs), Snowflake, and Salesforce data model navigation. Advanced experience with Tableau (LOD expressions, parameters, complex calculations, performance optimization). Demonstrated ability to translate business processes into data structures, including operational edge cases and exception logic. Comfortable operating autonomously in ambiguous environments; able to prioritize and deliver high-quality work independently. Understanding of SaaS unit economics (ARR, ACV, retention, funnel metrics, productivity metrics). Experience building models in SQL or equivalent. Thanks Harpreet Email : *****************************

Please review the below sections, especially the "how to apply" section, to complete your application and be considered for this position! Title: Air Quality Data Analyst Salary: $36/hr-$45/hour-salary commensurate with experience Job Type: Part-time, Temporary Benefits: Sick leave accrual Duration of Appointment: Est. 2 months from start date Location/Schedule: Hybrid, with potential for remote. For remote consideration, the individual must be California-based and able to be on site for their first day; Estimate 10 hours/week About the Position: This role is a part-time, temporary position (10 hours/week) that will help assist with our air quality data work in the areas identified below. Air Quality Data Work with the Program Manager to provide support in bridging the technical components of our air quality data work and helping to translate that information for the general public and community members, including into written materials, presentations, and reports Evolve Brightline's air quality program to the next generation and help prepare for us for the next level of grantmaking. Review and assess our current air quality data and network to identify opportunities for expansion or new directions, as well as any gaps, and communicate those findings to the team. This includes researching other air quality data programs and materials and providing written recommendations/report. Collaborate with Brightline staff, partners and volunteers who are working on analyzing our air quality data. Participate in meetings related to our air quality work, including with vendors and other key partners. Drafts, reviews and analyzes air quality data and other documents; conducts inquiries, compiles and researches information. Additional program support as needed-could include supporting site visits, off site community meetings, air quality sensor network maintenance, etc. General Support: Provide grant support including with any progress report deliverables, looking for documentation, helping to track deadlines, follow up with partners, etc. Assist Brightline team members with other projects as needed Required Qualifications, Skills, and Abilities: 3-5 years of related experience, including some direct work with environmental mapping Experience with utilizing ArcGIS Experience with R, modeling or other coding languages Familiarity utilizing Google Suite, Canva (or other design software) Strong interpersonal, written and oral communication skills Ability to work with data and identify trends and areas where further data points or analysis are needed Ability to translate and bridge the technical components of the data analysis and findings to those not in the field, including individuals in the community Ability to collaborate with multiple stakeholders and take and incorporate feedback/input Outstanding relationship-building skills, as well as ability to adapt communication style Must demonstrate strong organizational skills, ability to adapt and must be detail oriented. Desire to learn more about Brightline's work Passion for working in environmental justice Desire to work with diverse communities and neighborhoods in San Francisco Preferred Skills & Qualifications Masters or PhD in related field Experience with Tableau or other data visualization software Experience with website coding Spanish, Cantonese, or Arabic language skills Experience working with community-based organizations and or low-income communities How to Apply Please email a short cover letter, resume, and three references (preferably direct supervisors and include e-mail and a phone number for each) to ************************** with the subject line “Air Quality Data Analyst Application - [Your Name].” Applications will be reviewed on a rolling basis, with first round of interviews occurring the week of December 1, 2025, until the position is filled.

One out of every two small businesses fails within their first five years, most often due to running out of cash. This team is on a mission to make a dent in that statistic by providing small businesses access to the capital they need when they need it-leveraging internal financial and operational data for faster and better decisioning. This way, customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. This group is a nimble and high-priority start-up environment that is looking to reinvent small business borrowing. It is one of the fastest growing SMB lending businesses in the market. We are looking for top talent and team members who love new challenges, cracking tough problems, and working cross-functionally. If you are looking to join a fast-paced, innovative, and incredibly fun team, then we encourage you to apply. Duties We are an exciting, growing, and dynamic team that leverages industry-leading analytics tools, techniques, and best practices. We're looking for a hands-on Business Data Analyst (Contractor) who is a creative problem solver with a passion for delivering advanced, data-driven solutions. In this role, you will support the rapidly expanding Collections function by: Collaborating with the Collections Management team to develop new loss mitigation capabilities that enhance customer engagement and optimize solution rates Building new automation and reporting tools to monitor business processes and recommend improvements Designing solutions to improve data quality and usability Applying risk expertise to perform analyses at various aggregation levels and to inform data structure and feature generation decisions Skills 4+ years of experience with quantitative analysis Experience in any major dialect of SQL (we use MySQL and PostgreSQL) and Python Experience with data visualization (we use Tableau for many of our business-facing dashboards, but we won't say no to a ggplot or two) Solid communication skills with demonstrated ability to explain complex technical issues to both technical and non-technical audiences Experience with Hadoop, HDFS, Hive, HBase, and/or related MapReduce technologies Experience with large-scale MPP systems such as Vertica or Redshift Experience with Tableau or similar BI software Experience with Python or similar high-level languages; experience with R or similar statistical analysis software Education BS or MS in an appropriate quantitative field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Engineering)

Key Responsibilities Design and productionize models for opportunity scanning, anomaly detection, and significant change detection across CRM, streaming, ecommerce, and social data. Define and tune alerting logic (thresholds, SLOs, precision/recall) to minimize noise while surfacing high-value marketing actions. Partner with marketing, product, and data engineering to operationalize insights into campaigns, playbooks, and automated workflows, with clear monitoring and experimentation. Required Qualifications Strong proficiency in Python (pandas, NumPy, scikit-learn; plus experience with PySpark or similar for large-scale data) and SQL on modern warehouses (e.g., BigQuery, Snowflake, Redshift). Hands-on experience with time-series modeling and anomaly / changepoint / significant-movement detection(e.g., STL decomposition, EWMA/CUSUM, Bayesian/prophet-style models, isolation forests, robust statistics). Experience building and deploying production ML pipelines (batch and/or streaming), including feature engineering, model training, CI/CD, and monitoring for performance and data drift. Solid background in statistics and experimentation: hypothesis testing, power analysis, A/B testing frameworks, uplift/propensity modeling, and basic causal inference techniques. Familiarity with cloud platforms (GCP/AWS/Azure), orchestration tools (e.g., Airflow/Prefect), and dashboarding/visualization tools to expose alerts and model outputs to business users.

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

Lead Data Scientist - Computer Vision/Image Processing About the Role We are seeking a Lead Data Scientist to drive the strategy and execution of data science initiatives, with a particular focus on computer vision systems & image processing techniques. The ideal candidate has deep expertise in image processing techniques including Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection. Responsibilities Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch. Familiarity with version control (Git) and collaborative development practices

Duration :: 5 Months Contract Top 3 Skills Needed or Required Master's degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years' experience in analytics, risk, marketplace operations, or payments. Advanced SQL(Big Query), Tableau, Excel, and data analysis capabilities. What project or initiative will they be working on? Lead high-complexity investigations into seller payout eligibility. Own day-to-day data operations, including building SQL queries, audits, reconciliations, and deep-dive payment risk analysis. Identify risk patterns, anomalies, and operational gaps; recommend and implement solutions. Work with Business, Ops, Product, and Seller Risk to define and enhance payout policy and operational workflows. Provide guidance to support and support prioritization of case queues. Create reporting, dashboards, and insights that influence payout strategy and decision frameworks. Present findings and recommendations to leadership. Job Description This role is a key member of the Marketplace Partner Payments team to help on Payout strategies. This role requires a strong analytical and operational background, the ability to investigate complex seller cases, interpret large datasets, and make informed payout recommendations. The senior contractor will also help shape operational frameworks, partner with cross-functional teams, and drive improvements in the seller settlement experience. What are the day-to-day responsibilities? Perform data pulls, validations, and reconciliation tasks for payout workflows. Investigate seller accounts for payout eligibility and apply policy criteria. Review documentation and evaluate compliance with payout guidelines. Support senior team members in deep-dive analysis for risk or settlement anomalies. Deliver insights and structured summaries to support payout decisions. Work with Business and Ops teams to support smooth seller settlement processes. Ensure SLA adherence and high-quality execution on daily tasks. Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics. Excellent communication skills with the ability to translate complex data into actionable insights. 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, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Recruiter name: Ajeet Kumar Recruiter's email id : ***************************** JobDiva ID :: JobDiva # # 25-54361

Key Responsibilities Design and develop marketing-focused machine learning models, including: Customer segmentation Propensity, churn, and lifetime value (LTV) models Campaign response and uplift models Attribution and marketing mix models (MMM) Build and deploy NLP solutions for: Customer sentiment analysis Text classification and topic modeling Social media, reviews, chat, and voice-of-customer analytics Apply advanced statistical and ML techniques to solve real-world business problems. Work with structured and unstructured data from multiple marketing channels (digital, CRM, social, email, web). Translate business objectives into analytical frameworks and actionable insights. Partner with stakeholders to define KPIs, success metrics, and experimentation strategies (A/B testing). Optimize and productionize models using MLOps best practices. Mentor junior data scientists and provide technical leadership. Communicate complex findings clearly to technical and non-technical audiences. Required Skills & Qualifications 7+ years of experience in Data Science, with a strong focus on marketing analytics. Strong expertise in Machine Learning (supervised & unsupervised techniques). Hands-on experience with NLP techniques, including: Text preprocessing and feature extraction Word embeddings (Word2Vec, GloVe, Transformers) Large Language Models (LLMs) is a plus Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). Experience with SQL and large-scale data processing. Strong understanding of statistics, probability, and experimental design. Experience working with cloud platforms (AWS, Azure, or GCP). Ability to translate data insights into business impact. Nice to Have Experience with marketing automation or CRM platforms. Knowledge of MLOps, model monitoring, and deployment pipelines. Familiarity with GenAI/LLM-based NLP use cases for marketing. Prior experience in consumer, e-commerce, or digital marketing domains. EEO Centraprise is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Data Scientist with Gen Ai and Python experience Palo Alto CA- 5 days Onsite Interview Mode:-Phone & F2F Job Overview: Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models DS skills with GenAI and LLM Knowledge, Expertise in Python/Spark and their related libraries and frameworks. Experience in building training ML pipelines and efforts involved in ML Model deployment. Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model. Familiar with DS/ML Production implementation. Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks. Azure cloud and Databricks prior knowledge will be a big plus. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Required Qualifications: Epic Cupid certification Radiant certification Involves the design, building, testing, and implementation of clinical application systems. Provides support to clinical users through knowledge of clinical processes, documentation needs, workflows, and clinical practice standards, when adapting software to meet their needs. Works with clinicians to create or adapt written protocols. Prepares detailed specs encompassing clinical processes, information flow, risk, and impact analysis. May provide customer service, troubleshooting, and maintenance. Generic Scope: Experienced professional who knows how to apply theory and put it into practice with in-depth understanding of the professional field; independently performs the full range of responsibilities within the function; possesses broad job knowledge; analyzes problems / issues of diverse scope and determines solutions. Custom Scope: Applies skills as a seasoned clinical applications professional to projects of medium size at all levels of complexity, or portions of large projects. The Clinical Applications Professional III functions as the primary support contact and expert for technology solutions used within the cardiology service lines. They work under the direction of the Team Lead and/or Manager to configure, build & install applications. They coordinate all issues that arise during the project for their application area. Key operational activities include primary responsibility to analyze work flows and understand policies, procedures and constraints of the clinical or business operations supported by the applications. In depth and precise investigation and documentation of operational specifications and application functionality is required. Key technical activities include the analysis of new releases to determine how workflow should be modified, building and populating databases and tables during initial system configuration, conducting system testing and conversion data validation. The application analyst develops and documents internal procedures and establishes change control processes for the application. The Clinical Application Analyst also develops user training aids and trains end users in workflow and use of applications. They function as the primary contact to troubleshoot problems and questions from end-users during training, go-live, stabilization and on-going support (7x24). Successful candidates are skilled communicators who make decisions independently and in collaboration with others up and down the project structure. Attention to detail is a critical skill for this position. Successful candidates enjoy helping other users learn and adopt to use of the technology solutions. Compensation: $65-70/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Gathers, analyzes, and interprets a wide variety of programmatic data. Designs and conducts data analysis. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. Manages operations of several information systems and provides technical assistance to academic and administrative users statewide. This position is a career appointment that is 100% fixed. The home department is the Program Planning & Evaluation Department. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: $88,900.00/year to $126,400.00/year Job Posting Close Date: This job is open until filled. The first application review date will be 10/24/2025. Key Responsibilities: 35% Gathers, analyzes, prepares, and summarizes the collection of information and data. Recommends approaches, trends, sources, and uses. Writes complex queries to gather programmatic data from multiple systems, using SQL in Microsoft SQL Server Management Studio and Microsoft Access, for annual reporting and ad hoc requests. Analyzes and prepares data to inform administrative and program decision making. Provides leadership to compile data for the Program Planning and Evaluation team and contributes to the analysis to meet annual federal program reporting requirements, strategic communications, and advocacy efforts. 20% Manages day-to-day operations for several information systems, including the following federal systems: The National Institute of Food Agriculture's (NIFA) Reporting System; the Research, Extension, and Education Project Online Reporting Tool; and the National Information Management and Support System, with over 500 UC ANR academic users. Provides training and technical assistance to users and to campus partners. Is a core member of the multicampus Program Reporting Group with administrative staff from the Deans' Offices. Liaises with Deans' Offices across multiple campuses and with USDA NIFA on policy and technical questions. Is a core member of the Product Owner Group for Project Board, the UC Cooperative Extension information system developed in-house, working closely with IT that is responsible for programming the system. Conducts testing when enhancements are deployed. Provides technical assistance to users statewide. Be a core team member, working with IT, to replace the publications data collection system Bibliography Project to improve administrative efficiencies. 20% Develops systems for organizing data to analyze, identify, and report trends. Structures and categorizes raw data to make it easily accessible, usable, and analyzable. Completes tasks such as data cleaning, standardization, classification, and potentially data warehousing. For example, retrieves, analyzes, and compiles UCPath data, the UC systemwide personnel system, for all UC ANR academics across multiple campuses and locations, to provide a quarterly report to leadership to illustrate trends and inform their academic staffing decisions. Manages an annual statewide survey of community educators to collect on data programmatic scope. Organizes and updates this academic and programmatic staff data in large, complex tables. 15% Prepares data for presentation in clear and compelling ways for a variety of audiences including administrators across the UC system and academics across disciplines, from senior leadership to researchers in the field, as well as UC ANR clientele/members of the public. For example, manages the programmatic and non-sensitive personnel data tasks for presentation in the online ArcGIS UC ANR Programmatic Footprint Maps. Tests maps to ensure the data is represented properly. Acts as a member of the project team that works on continued process improvements and map data enhancements. 5% Analyzes the interrelationships of data and defines logical aspects of data sets. Contributes to researching, assessing, and selecting new data reporting products. 5% Implements related business processes. Adapts processes to retrieve and analyze programmatic data when organization makes related changes. Manages proposal submission and provides process oversight for academic position planning and funding opportunities. Requirements: Bachelor's degree in related area and / or equivalent experience / training. Thorough skills in analysis and consultation. Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in project management. Skills at a level to evaluate alternate solutions and develop recommendation. Ability to create and edit tables in Structured Query Language (SQL). Ability to work independently and with a team. Interpersonal and verbal skills to effectively communicate with diplomacy and to interact with a wide range of academics and staff. Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: https://apptrkr.com/get_redirect.php?id=6751108&target URL= Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=81754&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-b9a81a9e9cf59842a913c67f9291ce56

We are seeking an experienced Data Analytics Consultant with strong Microsoft Power BI expertise to join our team. In this role, you will help clients transform their data into actionable insights through effective dashboarding, reporting, and analytics solutions. Key Responsibilities: Consult with clients to understand their business requirements and data needs Design, develop, and deploy Power BI reports, dashboards, and visualizations Transform raw data into meaningful insights using DAX, Power Query, and other BI tools Create data models that effectively connect multiple data sources Implement data governance best practices and ensure data quality Provide training and support to client teams on Power BI usage Stay current with Power BI updates and industry best practices Document solutions and knowledge transfer to client teams Qualifications: Required Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field 3+ years of experience with Microsoft Power BI development Strong understanding of data modeling, ETL processes, and dimensional modeling Proficiency with DAX, M language, and Power Query Experience with SQL and database concepts Excellent analytical and problem-solving skills Strong communication and client-facing skills Work Location This position requires onsite presence at client locations and/or our San Francisco office up to 2 days per week. Candidates must reside within a commutable distance of the San Francisco Bay Area. This position is hybrid (partial remote/partial onsite) and is not eligible for full remote work. About Us Amplytico is a specialized consulting firm helping energy companies transform data into business value. We combine advanced analytics with deep energy sector knowledge to uncover insights that empower organizations to pioneer the future of energy services. Learn more at amplytico.com Compensation As required by California law, the base salary range for this position in San Francisco is $90,000 to $135,000. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors. Amplytics is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ***************************

Senior GTM Data Analyst - Internal Data Products (Contract) Duration: 4-6 months (extendable) Onsite: 2 days/week in San Francisco Remote: PST time zone only Though the role says salesforce and other skills, main one is strong SQL and if they have tableau for data visualization, that is ideal SaaS/GTM exp needed Notes collected when speaking to the manager Someone that has experience building internal tooling using SQL - understand saas, business sales funnel and how that contributes to revenue etc. someone that can translate customer need to tech reqts and go back and explain it to the customer Strong SQL query experience needed. Tableau is a big plus for visualization The ideal candidate understands sales marketing, GTM, Saas and uses that knowledge to provide market insights. Senior GTM Data Analyst - Internal Data Products The Senior GTM Data Analyst will design, build, and scale internal data products that power GTM planning, resourcing, segmentation, and performance visibility. This role combines technical expertise with deep understanding of SaaS GTM operations to translate business needs into reliable, scalable data assets. Own end-to-end data product development - from business requirements and technical design to build, deployment, documentation, and maintenance. Partner with GTM Planning, Sales Ops, Marketing Ops, and Finance to translate ambiguous business questions into clear data requirements and analytical frameworks. Develop scalable pipelines and models in SQL/Snowflake to support territory design, capacity planning, coverage models, segmentation, and forecasting workflows. Build intuitive dashboards and self-serve assets in Tableau that increase operational visibility and reduce ad-hoc requests. Evaluate, contextualize, and translate business processes (e.g., lead routing, account whitespace) into accurate and maintainable data logic. Perform rigorous testing to ensure data accuracy and reliability Serve as the SME for internal GTM models Operate independently with minimal oversight Requirements 5+ years of experience in GTM Operations, Revenue Operations, Sales Operations, or similar data-intensive role within a large or high-growth SaaS company; Background creating datasets and tools supporting territory planning, segmentation, scoring models, capacity planning, or pipeline health. Expert-level proficiency in SQL (complex joins, window functions, CTEs), Snowflake, and Salesforce data model navigation. Advanced experience with Tableau (LOD expressions, parameters, complex calculations, performance optimization). Demonstrated ability to translate business processes into data structures, including operational edge cases and exception logic. Comfortable operating autonomously in ambiguous environments; able to prioritize and deliver high-quality work independently. Understanding of SaaS unit economics (ARR, ACV, retention, funnel metrics, productivity metrics). Experience building models in SQL or equivalent. Thanks Harpreet Email : *****************************

Analyzing current business processes, workflows and procedures to identify areas for improvement. Developing and implementing optimized processes and procedures to enhance efficiency, productivity and customer satisfaction. Collaborating with stakeholders to design and execute new Quote to Cash products aligned with organizational goals. Monitoring and evaluating the effectiveness of implemented features, measuring key performance indicators and making necessary adjustments for continuous improvement. Stay updated on industry trends, emerging technologies and process improvement methodologies. Responsibilities: Help drive the roadmap for business process automation related to subscription functions; Quote to Cash. Gain cross functional alignment across product, sales ops, finance, legal, operations, services etc. Plans, implements and monitors business process changes for projects Assists in making business decisions relating to system implementation, modification, maintenance, etc. Analyze complex business problems relating to end-to-end processes involving CPQ, Subscription Management, Entitlement Management, ERP. Collaborate closely with IT Architects and product management to define and implement effective and efficient solutions to help scale the business. Assume a hands-on role in testing solutions, identifying issues, validating solution meets specification and communicate to team members. Presents analyses, solutions and business cases to senior management Coordinates with cross-functional team to develop business process requirements Experience: 10+ years of experience in process analyst role, including substantial experience in Enterprise Applications (eg. eCommerce, Salesforce, ERP, Zuora etc.) Strong knowledge in enterprise CRM, CPQ, Order to Cash, SaaS / Cloud applications, with an enthusiasm to gain and apply new knowledge. Familiarity with process mapping and modeling techniques. Good understanding of business processes including CPQ, eCommerce, Contract, Subscription, ERP, Entitlement and Fulfillment systems. Strong analytical skills with the ability to collect, study and interpret complex data. Ability to manage and perform multiple complex tasks as part of the daily work assignment. Systems / Tools: Google Workplace (Gmail, Sheets, Docs, Slides, calendar) MSFT Office Application Suite SFDC CPQ, Contracts and CRM modules Strong communication and presentation skills to effectively communicate process changes and recommendations to stakeholders at all levels. Skills: EAbility to manage and perform multiple complex tasks as part of the daily work assignment. Systems / Tools: Google Workplace (Gmail, Sheets, Docs, Slides, calendar) MSFT Office Application Suite SFDC CPQ, Contracts and CRM modules Strong communication and presentation skills to effectively communicate process changes and recommendations to stakeholders at all levels. Education: Bachelor's degree in business administration, management or a 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's email id ******************************* ID: # 25-54457

Key Responsibilities Design and productionize models for opportunity scanning, anomaly detection, and significant change detection across CRM, streaming, ecommerce, and social data. Define and tune alerting logic (thresholds, SLOs, precision/recall) to minimize noise while surfacing high-value marketing actions. Partner with marketing, product, and data engineering to operationalize insights into campaigns, playbooks, and automated workflows, with clear monitoring and experimentation. Required Qualifications Strong proficiency in Python (pandas, NumPy, scikit-learn; plus experience with PySpark or similar for large-scale data) and SQL on modern warehouses (e.g., BigQuery, Snowflake, Redshift). Hands-on experience with time-series modeling and anomaly / changepoint / significant-movement detection(e.g., STL decomposition, EWMA/CUSUM, Bayesian/prophet-style models, isolation forests, robust statistics). Experience building and deploying production ML pipelines (batch and/or streaming), including feature engineering, model training, CI/CD, and monitoring for performance and data drift. Solid background in statistics and experimentation: hypothesis testing, power analysis, A/B testing frameworks, uplift/propensity modeling, and basic causal inference techniques. Familiarity with cloud platforms (GCP/AWS/Azure), orchestration tools (e.g., Airflow/Prefect), and dashboarding/visualization tools to expose alerts and model outputs to business users.

HCLTech is looking for a highly talented and self- motivated Business Intelligence Analyst to join it in advancing the technological world through innovation and creativity. Job Title: Business Intelligence Analyst Position Type: Full Time Location: Onsite Role Overview Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers. • Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement. • Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau. * Support project development life cycles through data modeling, reporting and analytics. • Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. • Create training materials to guide business users on how to use dashboards. • Participate in the creation and support of development standards and best practices. • Explore and recommend emerging technologies and techniques to support/enhance BI landscape components. * Automate solutions where appropriate. Skills * At least 4-6 years of business intelligence and data warehouse experience. * At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL. * At least 1 year of experience with Tableau. * Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.) * Prefer a candidate with experience building and maintaining pipelines * Knowledge of ETL processes and designs. Pay and Benefits Pay Range Minimum: $59,000 per year Pay Range Maximum: $109,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Required Qualifications: Epic Cupid certification Radiant certification Involves the design, building, testing, and implementation of clinical application systems. Provides support to clinical users through knowledge of clinical processes, documentation needs, workflows, and clinical practice standards, when adapting software to meet their needs. Works with clinicians to create or adapt written protocols. Prepares detailed specs encompassing clinical processes, information flow, risk, and impact analysis. May provide customer service, troubleshooting, and maintenance. Generic Scope: Experienced professional who knows how to apply theory and put it into practice with in-depth understanding of the professional field; independently performs the full range of responsibilities within the function; possesses broad job knowledge; analyzes problems / issues of diverse scope and determines solutions. Custom Scope: Applies skills as a seasoned clinical applications professional to projects of medium size at all levels of complexity, or portions of large projects. The Clinical Applications Professional III functions as the primary support contact and expert for technology solutions used within the cardiology service lines. They work under the direction of the Team Lead and/or Manager to configure, build & install applications. They coordinate all issues that arise during the project for their application area. Key operational activities include primary responsibility to analyze work flows and understand policies, procedures and constraints of the clinical or business operations supported by the applications. In depth and precise investigation and documentation of operational specifications and application functionality is required. Key technical activities include the analysis of new releases to determine how workflow should be modified, building and populating databases and tables during initial system configuration, conducting system testing and conversion data validation. The application analyst develops and documents internal procedures and establishes change control processes for the application. The Clinical Application Analyst also develops user training aids and trains end users in workflow and use of applications. They function as the primary contact to troubleshoot problems and questions from end-users during training, go-live, stabilization and on-going support (7x24). Successful candidates are skilled communicators who make decisions independently and in collaboration with others up and down the project structure. Attention to detail is a critical skill for this position. Successful candidates enjoy helping other users learn and adopt to use of the technology solutions. Compensation: $65-70/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.