Research Data Analyst 3 Oakland, CA, Job ID 81754
Data analyst job in Oakland, CA
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
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BI Data Analyst
Data analyst job in Sunnyvale, CA
BI Data Analyst (BI Tableau, SQL, Python)
**Prefer candidates who can work on W2** (No for C2C arrangements)
Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks)
Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri)
Long term contract
Direct client opportunity
No mid layer / No Implementation partners are Involved
Job Description:
Clients focus more on Business Intelligence skills, less complex analysis.
Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
Excellent communication is essential
Requires working knowledge of probability theory and statistical analysis.
This role will:
Use Tableau to create visualizations to be used in interactive dashboards and presentations.
Use SQL to manipulate and prepare data
Use Python to manipulate and prepare data; create visualizations; analyze data.
Require a working knowledge of formal statistical analysis and causal modeling.
Require excellent communication skills
Skill Sets - Experience - Preference
Tableau - 5-10 years - Is Required
SQL - 5-10 years - Is Required
Python - 5-10 years - Is Required
Statistical analysis - 5-10 years - Is Required
Verbal Communication - 5-10 years - Is Required
Written Communication - 5-10 years - Is Required
Attention to Detail - 5-10 years - Is Required
Pay Range: $65/hr - $70/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************
Data Analyst
Data analyst job in San Francisco, CA
Job Title: Data Analyst - CRM / Salesforce
🏢 Company: Aaratech Inc
🛑 Eligibility: Only U.S. Citizens and Green Card holders are eligible.
Please note that we do not offer visa sponsorship.
Aaratech Inc. is seeking a highly analytical and detail-driven Data Analyst - CRM / Salesforce to join our growing team. The ideal candidate will analyze customer and sales data to improve business performance and customer engagement.
Key Responsibilities:
🔹 Data Collection & Management
Gather, clean, and manage CRM and Salesforce datasets.
Ensure data accuracy and consistency across systems.
🔹 Data Analysis
Analyze sales pipelines, customer engagement, and performance metrics.
Support forecasting and business planning.
🔹 Reporting & Visualization
Develop dashboards and reports using Salesforce, Tableau, or Power BI.
Present insights to sales and marketing stakeholders.
🔹 Team Collaboration
Collaborate with sales, marketing, and business teams to deliver analytics solutions.
🔹 Tool Utilization
Use SQL, Excel, Salesforce reports, and BI tools for analysis.
🔹 Data Governance
Maintain CRM data quality and governance standards.
Qualifications:
✅ Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
✅ Minimum of 2 years of experience in data analysis
✅ Proficiency in SQL and Microsoft Excel
✅ Experience with Tableau, Power BI, or Salesforce reporting
✅ Strong analytical and communication skills
Data Analyst
Data analyst job in Fremont, 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 ***************************
Data Analyst
Data analyst job in Sunnyvale, CA
Role : Senior analyst/Anayystics
Analyal risk payment fianane SQL anylytiss data science communication
SQL-- 80%
Python-- 20%
Data Analyst PySpark A B Testing
Data analyst job in Sunnyvale, CA
In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Unable to provide immigration sponsorship for this role at this time.
At least 4 years of experience in Information Technology
Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models
Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data
Strong experience using Python, Advanced SQL and PySpark
Preferred Qualifications:
Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field
Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns)
Knowledge of Machine Learning techniques
Along with competitive pay, as a full-time employee you are also eligible for the following benefits :-
Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off
Staff Data Scientist - Sales Analytics
Data analyst job in Fremont, CA
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.
About the Role
As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.
Key Responsibilities
Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.
About You
Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.
Junior Data Analyst
Data analyst job in Santa Clara, CA
🚀 Hiring: Entry-Level Data Analyst
💼 Experience: 0-2 Years
🕒 Employment Type: Full-Time
**Visa - F1 OPT, CPT, H4EAD, TN, GC
We are looking for a motivated and detail-oriented Entry-Level Data Analyst to join our growing analytics team. This role is ideal for recent graduates or early-career professionals who are passionate about data, analytics, and business insights.
🔍 Key Responsibilities:
Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
Perform exploratory data analysis to identify trends, patterns, and insights.
Create and maintain dashboards and reports using tools such as Excel, SQL, Power BI, or Tableau.
Assist in developing KPIs and metrics aligned with business objectives.
Support data-driven decision-making by preparing ad-hoc analysis and presentations.
Work closely with business stakeholders to understand reporting and analytics requirements.
Document data processes, definitions, and reporting logic for future reference.
Ensure data quality and follow best practices for data governance and security.
🧠 Required Skills & Qualifications:
Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related field.
Strong understanding of SQL and Excel (Pivot Tables, VLOOKUP/XLOOKUP).
Basic experience with data visualization tools (Power BI, Tableau, or similar).
Familiarity with Python or R is a plus.
Good analytical, problem-solving, and communication skills.
Ability to work independently and in a team-oriented environment.
⭐ Nice to Have:
Internship or academic project experience in data analytics.
Exposure to cloud platforms (AWS, Azure, or GCP).
Understanding of databases and data warehousing concepts.
🎯 Why Join Us?
Opportunity to work on real-world data projects.
Career growth and learning opportunities.
Collaborative and supportive team environment.
Staff Data Scientist
Data analyst job in San Jose, CA
Staff Data Scientist | San Francisco | $250K-$300K + Equity
We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI.
In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance.
What you'll do:
Drive deep-dive analyses on user behavior, product performance, and growth drivers
Design and interpret A/B tests to measure product impact at scale
Build scalable data models, pipelines, and dashboards for company-wide use
Partner with Product and Engineering to embed experimentation best practices
Evaluate ML models, ensuring business relevance, performance, and trade-off clarity
What we're looking for:
5+ years in data science or product analytics at scale (consumer or marketplace preferred)
Advanced SQL and Python skills, with strong foundations in statistics and experimental design
Proven record of designing, running, and analyzing large-scale experiments
Ability to analyze and reason about ML models (classification, recommendation, LLMs)
Strong communicator with a track record of influencing cross-functional teams
If you're excited by the sound of this challenge- apply today and we'll be in touch.
Business Data Analyst
Data analyst job in Mountain View, CA
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)
Business Analyst
Data analyst job in San Francisco, CA
Our client is seeking a Business Analyst to join their team! This position is located in San Francisco, CA or Seattle, WA.
Vet and prioritize CMO meeting requests from field and customers
Manage intake from our CRM system, email, and Slack channels
Support FY27 CMO customer engagement strategy, helping to create process and structure, as well as Office of CMO initiatives
Manage the full operational lifecycle for customer engagements: vetting and coordinating customer engagements; obtaining meeting approvals; preparing briefing documents; as well as run the debriefing and follow-up process
Coordinate with internal stakeholders to align on invite lists, meeting agendas, logistical details, and seating charts
Manage shared systems: maintain prep doc folders, event templates, media archives, CMO customer engagement calendar
Draft customer-facing follow-up communications and action items post-meeting or event
Track sales and marketing metrics to determine strategy for meetings and events
Maintain and manage Tableau dashboards and internal reports
Desired Skills/Experience:
Highly creative and comfortable working in ambiguous, fast-moving environments with tight deadlines
Demonstrates a strong growth mindset with curiosity, adaptability, and a collaborative, team-oriented approach
Proven program management experience with the ability to drive initiatives end-to-end
A natural self-starter who can balance big-picture thinking with meticulous attention to detail
Experience in sales strategy and programs is a strong plus
Strategic thinker capable of connecting ideas, teams, and stakeholders to move initiatives forward
Exceptional verbal and written communication skills, including the ability to craft and deliver executive-level communications
Experience supporting executive engagement and communications
Benefits:
Medical, Dental, & Vision Insurance Plans
Employee-Owned Profit Sharing (ESOP)
401K offered
The approximate pay range for this position is between $36.60 and $52.29. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
Data Scientist with Gen Ai and Python experience
Data analyst job in Palo Alto, CA
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.
Senior Data Analyst
Data analyst job in Menlo Park, CA
Job Title: Data Analyst IV
Duration: 6 Months
We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards. Additionally, our client is someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation.
Responsibilities:
Design and develop data dashboards and solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
Utilize AI tools to help automate routine analysis and scale solutions.
Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
Conduct in-depth investigations leveraging large and complex data sets.
Partner with Operations Project Managers, Data Science, Product teams to solve problems at scale.
Inform and execute new strategies and tactics using analysis and impact metrics.
Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
Minimum Qualifications:
Degree in a related field and 5+ years of work experience in an analyst role.
Database querying language (SQL) and programming language (Python) for data processing, data analysis and analytics
Experience building and maintaining dashboards for making business decisions
Well-versed in AI prompt engineering and utilizing AI to analyze data
Advanced Excel / Google Sheet experience
Strong communication skills and ability to build relationships and influence stakeholders across functional groups and levels
Ability to make judgments under tight deadlines and competing priorities
Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others
Preferred Qualifications:
Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership
Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models
Served as a thought leader for data-informed initiatives and contributed to the team's direction overall.
Application Analyst
Data analyst job in San Francisco, CA
What specific experience, background, and/or qualifications are you looking for in candidates for this position?
Cupid certification and a strong Cupid background (implementation as well as support); Also required to be certified in Radiant and will help support the on-call rotation for both applications.
Please verify any certificates and/or licenses required for the position, if applicable:
Epic Cupid and Radiant certifications.
Job Function Summary:
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 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.
Research Data Analyst 3 or 4 Oakland, CA, Job ID 80657
Data analyst job in Oakland, CA
The University of California Agriculture and Natural Resources (UC ANR) seeks a Financial Data Analyst (classified as Research Data Analyst 4) to develop, maintain, and optimize financial software solutions that support the Division's financial operations. UC ANR is a complex organization with operations in 58 county offices, three campuses, and nine research and extension centers. As the land-grant arm of the UC system, ANR manages over $300 million in funding and employs over 1,600 academic and staff personnel.
The incumbent applies advanced data analytics, programming, and data integration skills to extract, clean, and analyze large and complex financial datasets from multiple enterprise sources.
This role will collaborate with Resource Planning and Management, Financial Services, IT, and administrative teams to customize and implement applications that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution.
This position is a contract appointment that is 100% fixed, and ends three years from date of hire with the possibility of extension if funding permits.
This position is posted as a Research Data Analyst 4 but a Research Data Analyst 3 may be considered depending on the level of experience of the hired applicant.
The home department is Resource, Planning & Management. 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:
Research Data Analyst 3: $88,900.00/year to $126,400.00/year
Research Data Analyst 4: $109,200.00/year to $158,500.00/year
Job Posting Close Date: This job is open until filled. The first application review date will be 9/8/2025.
Key Responsibilities:
25%
Financial Data Integration & Reporting
Create and maintain scripts, queries, and reports that integrate data from multiple systems to support cross-functional financial analysis.
Build automated tools to extract, clean, and analyze large financial datasets from Oracle, Cognos, and other university financial systems.
Translate complex reporting and analysis needs into scalable, user-friendly dashboards and visualizations using tools such as Tableau, Cognos, or Power BI.
20%
Financial Application Design & Enhancement
Design and enhance financial applications that support budgeting, forecasting, and reporting within a university financial ecosystem.
Implement financial models and process automation solutions to improve operational efficiency across departments.
15%
Process Improvement & Operational Efficiency
Improve speed, accuracy, and efficiency of financial calculations and reporting systems.
Contribute to continuous improvement initiatives with university finance and IT stakeholders.
15%
Compliance & Risk Management
Ensure the use of all financial applications complies with university policies, state and federal regulations (GAAP, IFRS, OMB Uniform Guidance), and cybersecurity standards
15%
Technical Support & Issue Resolution
Diagnose and resolve system issues, provide technical support to finance teams, and ensure seamless financial operations across all campuses
10%
Stakeholder Collaboration & Documentation
Work with university finance and IT stakeholders, maintain clear documentation of system workflows, and support cross-campus coordination.
Requirements:
Bachelor's degree in Computer Science, Finance, Data Science, Business Analytics, or a related field or equivalent experience.
Proficiency in using programming or scripting languages (such as SQL, Python, or similar) to extract, analyze, and automate processes using data from financial systems.
Experience with ERP platforms (Oracle, UCPath), and business intelligence tools (Cognos, Tableau, Power BI).
Familiarity with data warehousing, cloud computing (AWS, Azure, GCP), and automation tools.
Ability to analyze large datasets and develop financial reports that align with UC's financial reporting standards.
Strong problem-solving, analytical thinking, and collaboration skills.
Preferred Skills:
Strong understanding of fund accounting, grant management, and UC financial policies.
Experience working in higher education finance, UC financial operations, or public sector budgeting.
Knowledge of UC policies related to finance, grants, and compliance.
Certifications such as CPA, CFA, or data analytics certifications.
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:
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=80657&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant
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Data Analyst
Data analyst job in Fremont, CA
Job Title: Data Analyst - CRM / Salesforce
🏢 Company: Aaratech Inc
🛑 Eligibility: Only U.S. Citizens and Green Card holders are eligible.
Please note that we do not offer visa sponsorship.
Aaratech Inc. is seeking a highly analytical and detail-driven Data Analyst - CRM / Salesforce to join our growing team. The ideal candidate will analyze customer and sales data to improve business performance and customer engagement.
Key Responsibilities:
🔹 Data Collection & Management
Gather, clean, and manage CRM and Salesforce datasets.
Ensure data accuracy and consistency across systems.
🔹 Data Analysis
Analyze sales pipelines, customer engagement, and performance metrics.
Support forecasting and business planning.
🔹 Reporting & Visualization
Develop dashboards and reports using Salesforce, Tableau, or Power BI.
Present insights to sales and marketing stakeholders.
🔹 Team Collaboration
Collaborate with sales, marketing, and business teams to deliver analytics solutions.
🔹 Tool Utilization
Use SQL, Excel, Salesforce reports, and BI tools for analysis.
🔹 Data Governance
Maintain CRM data quality and governance standards.
Qualifications:
✅ Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
✅ Minimum of 2 years of experience in data analysis
✅ Proficiency in SQL and Microsoft Excel
✅ Experience with Tableau, Power BI, or Salesforce reporting
✅ Strong analytical and communication skills
Data Analyst
Data analyst job in San Francisco, 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 ***************************
Staff Data Scientist - Sales Analytics
Data analyst job in San Francisco, CA
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.
About the Role
As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.
Key Responsibilities
Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.
About You
Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.
Data Analyst
Data analyst job in San Jose, CA
Job Title: Data Analyst - CRM / Salesforce
🏢 Company: Aaratech Inc
🛑 Eligibility: Only U.S. Citizens and Green Card holders are eligible.
Please note that we do not offer visa sponsorship.
Aaratech Inc. is seeking a highly analytical and detail-driven Data Analyst - CRM / Salesforce to join our growing team. The ideal candidate will analyze customer and sales data to improve business performance and customer engagement.
Key Responsibilities:
🔹 Data Collection & Management
Gather, clean, and manage CRM and Salesforce datasets.
Ensure data accuracy and consistency across systems.
🔹 Data Analysis
Analyze sales pipelines, customer engagement, and performance metrics.
Support forecasting and business planning.
🔹 Reporting & Visualization
Develop dashboards and reports using Salesforce, Tableau, or Power BI.
Present insights to sales and marketing stakeholders.
🔹 Team Collaboration
Collaborate with sales, marketing, and business teams to deliver analytics solutions.
🔹 Tool Utilization
Use SQL, Excel, Salesforce reports, and BI tools for analysis.
🔹 Data Governance
Maintain CRM data quality and governance standards.
Qualifications:
✅ Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
✅ Minimum of 2 years of experience in data analysis
✅ Proficiency in SQL and Microsoft Excel
✅ Experience with Tableau, Power BI, or Salesforce reporting
✅ Strong analytical and communication skills
Data Analyst
Data analyst job in San Jose, 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 ***************************