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data analyst

SmithRx

<div>Who We Are:

SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:
<ul>
<li>Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.</li>
<li>Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward&mdash;always.</li>
<li>Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.</li>
</ul>
Job Summary: 

You are the source of truth for member data on the MCSS (Member Communications Shared Services) team. While the Marketing Operations Manager owns the pipes that deliver communications, you own what flows through them &mdash; the accuracy, completeness, and integrity of every member list. You are responsible for sourcing, validating, and preparing member data drawn from many internal systems, ensuring that every letter, email, and text we send reaches the right member with the right information.

At SmithRx, data integrity is a legal requirement &mdash; not a best practice. Our member communications are heavily regulated and compliance-driven, and this role works directly with Protected Health Information (PHI). A single bad record isn't a minor error; it's a risk to our members and our business. You will report directly to the Member Comms Team Lead and maintain a dotted-line relationship with our centralized Data team &mdash; contributing to shared Snowflake data models, aligning with enterprise data standards, and coordinating on upstream changes that affect member communications. Over time, high performers in this role will have the opportunity to expand their scope beyond member communications into broader marketing analytics.

Responsibilities:
<ul>
<li>Data Sourcing &amp; List Building
<ul><li>Own the end-to-end process of extracting and compiling member lists from multiple internal data sources &mdash; eligibility systems, pharmacy data, client records, and more &mdash; for use across email, SMS, and print communications. Your primary workspace is Snowflake, querying across the data models maintained by our Data Engineering and Analytics teams.</li>
</ul></li></ul><ul><li>Data Quality &amp; Validation
<ul><li>Define and enforce data quality standards across all member lists before they enter the delivery pipeline. Build and maintain automated checks that surface anomalies &mdash; duplicate records, missing fields, invalid formats, eligibility mismatches &mdash; before a single message is triggered.</li>
</ul></li></ul><ul><li>PHI Stewardship &amp; Compliance
<ul><li>Handle Protected Health Information with the rigor and discipline it demands. Own suppression list logic, ensuring members who have opted out, are ineligible, or fall under regulatory exclusions are accurately reflected across all lists at all times. Treat opt-out, preference, and PHI data as the highest-priority data in the pipeline.</li>
</ul></li></ul><ul><li>Cross-Functional Partnership
<ul><li>Work hand-in-hand with the Marketing Operations Manager to ensure lists are formatted, mapped, and structured exactly to the schema required by communication platforms. Maintain an active working relationship with the centralized Data team &mdash; contributing to shared data models and quality standards, staying aligned on upstream changes, and advocating for member communications data needs at the infrastructure level.</li>
</ul>
</li></ul>What you will do:
<ul>
<li>Extract, transform, and validate member data from multiple internal systems using Snowflake, producing clean, audit-ready lists for every communication send</li>
<li>Build and maintain automated data validation workflows that catch quality issues &mdash; gaps, duplicates, mismatched fields, ineligible members &mdash; before lists are handed to Marketing Operations</li>
<li>Own suppression and exclusion logic, including regulatory opt-outs, eligibility exclusions, and client-specific rules, and ensure they are consistently applied across all channels and send types</li>
<li>Partner closely with the Marketing Operations Manager on list specifications, field mapping requirements, and pre-send data checks &mdash; you are the upstream dependency for every campaign they deploy</li>
<li>Maintain clear documentation of data sources, transformation logic, field definitions, and business rules to support auditability and regulatory compliance</li>
<li>Collaborate with the centralized Data team to stay aligned on Snowflake data model changes, contribute to shared data quality standards, and represent member communications requirements in data infrastructure decisions</li>
<li>Proactively identify, escalate, and root-cause data quality issues, partnering with the Member Comms Team Lead and internal data owners to drive resolution</li>
<li>Support ad-hoc data pulls for compliance reporting, campaign sizing, program performance analysis, and regulatory inquiries</li>
</ul>
What you will bring to SmithRx:
<ul>
<li>4+ years of hands-on experience in data analytics, data operations, or a closely related discipline</li>
<li>Experience working with Protected Health Information (PHI) and a working knowledge of HIPAA requirements as they apply to data handling &mdash; this is a requirement, not a nice-to-have</li>
<li>Strong SQL proficiency in Snowflake &mdash; comfortable writing complex queries, joining across multiple sources, and transforming raw data into clean, validated output</li>
<li>A quality-obsessed approach to data &mdash; you have experience building validation logic, reconciling data across systems, and treating data integrity as non-negotiable</li>
<li>Familiarity with member or customer data concepts including suppression lists, opt-out and preference management, eligibility logic, and regulated data handling</li>
<li>Experience working within a shared data infrastructure (e.g., contributing to or consuming dbt models, working alongside Data Engineering or Analytics teams) strongly preferred</li>
<li>Strong cross-functional communication skills &mdash; you can translate data findings and quality issues clearly to both technical and non-technical stakeholders</li>
<li>Healthcare or PBM industry experience is strongly preferred</li>
<li>A security-first mindset: You treat every member record as if it were your own medical history &mdash; because to someone, it is</li>
</ul>
What SmithRx Offers You:
<ul>
<li>Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&amp;D Insurance</li>
<li>Flexible Spending Benefits</li>
<li>401(k) Retirement Savings Program</li>
<li>Short-term and long-term disability</li>
<li>Discretionary Paid Time Off</li>
<li>Paid Company Holidays</li>
<li>Wellness Benefits</li>
<li>Commuter Benefits</li>
<li>Paid Parental Leave benefits</li>
<li>Employee Assistance Program (EAP)</li>
<li>Well-stocked kitchen in office locations</li>
<li>Professional development and training opportunities</li></ul></div>

Marketing Data Analyst

CareerSwift

<div><h2 class="jobSectionHeader">Job Description</h2>
Join our team as a Business Analyst, gathering and documenting business requirements, analyzing processes, and translating stakeholder needs into actionable specifications. You will work closely with product and engineering teams to support data-driven decision making, prepare reports and dashboards, and assist in process improvement initiatives. 1-3 years of experience in business analysis or related field, strong analytical and communication skills required.<h2 class="jobSectionHeader">
Job Overview</h2>
Seniority Level: Middle</div>

Business Analyst Junior/Mid

Cooley LLP

<div>Cooley is seeking a BIC Data Integrity Assistant to join the Business Intake and Conflicts team.
Position Summary: The BIC Data Integrity Assistant is critical to supporting the firm&rsquo;s expanding data and reporting initiatives by ensuring the accuracy, integrity, and timely maintenance of client and matter information across BIC systems. The BIC Data Integrity Assistant will play a key role in supporting the firm&rsquo;s integrated data strategy, including the preparation, and loading of client engagement letters into the Terms database for structured coding and downstream reporting. In addition, support the ongoing management of engagement letters, waivers, and related client documentation, as well as assist with party linking, client and matter maintenance, and inclusionary ethical wall support. The position will work closely with Compliance Analysts and other BIC team members to ensure engagement terms are captured consistently and accurately, enabling BIC, Information Governance, Billing, and other stakeholders to identify and report on key provisions such as AI use restrictions, work product ownership, and fee arrangements. Specific duties and responsibilities include, but are not limited to, the following:
Position responsibilities:<ul><li>
Maintain the firm&rsquo;s client administrative files by processing and filing all engagement, disengagement and waiver letters received by the department</li><li>
Link parties in Open to approved and finalized matters</li><li>
Prepare, process, and review client and matter closure requests for completion or assignment to a Compliance Analyst when necessary</li><li>
Prepare and process client and matter name change requests</li><li>
Maintain inclusionary ethical walls in the Firm&rsquo;s ethical walls database</li><li>
Clean-up outstanding Open requests from departing or departed timekeepers and secretaries</li><li>
Implement and maintain database warnings and alerts</li><li>
Continually process reports associated with various database clean-up projects</li><li>
Assist with department projects as necessary</li><li>
Participate in proof-of-concept testing of new technologies or solutions</li><li>
Communicate with all users regarding intake issues and risk management procedures pertaining to the opening of new client/matters as well as status of requests via email and by phone</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Available to work overtime, as required</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s Degree</li><li>
Prior experience in a law firm, legal environment or conflicts department</li><li>
Prior experience with Security Database technology for Ethical Walls</li><li>
Prior experience with Workflow tools and systems</li></ul>
Competencies:<ul><li>
Ability to solve problems and work in a fast-paced environment that requires balancing high‑volume, process‑driven work with a strong focus on accuracy and customer service</li><li>
Ability to interact with attorneys, all levels of management, business professionals and outside third parties in highly effective and professional manner</li><li>
Excellent communication and interpersonal skills</li><li>
Strong database skills</li><li>
Detailed orientated and strong organization skills</li><li>
Strong ability to prioritize and juggle multiple tasks</li><li>
Strong customer service skills</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE.
The expected hourly pay range for this position with a work schedule of XX hours per week is $24.50 - $36.00 ($50,960 - $74,880 annually). Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 20 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</div>

BIC Data Integrity Assistant

Brex

<div>
 
 Why join us
 
 
 
 Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex&rsquo;s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
 
 
 Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We&rsquo;re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
 
 
 
 Data at Brex
 
 
 
 Our Scientists and Engineers work together to make data &mdash; and insights derived from data &mdash; a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
 
 
 
 Where you&rsquo;ll work
 
 
 
 This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
 </li>
 <li>
 Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
 </li>
 <li>
 Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
 </li>
 <li>
 Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
 </li>
 <li>
 Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
 </li>
 <li>
 Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
 </li>
 <li>
 Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
 </li>
 <li>
 Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
 </li>
 <li>
 Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
 </li>
 <li>
 Experience integrating and orchestrating data workflows with various modern data tools and systems.
 </li>
 <li>
 Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
 </li>
 <li>
 Experience working with a data warehouse such as Snowflake.
 </li>
 <li>
 Experience with a data workflow orchestrator tool such as Airflow.
 </li>
 <li>
 Experience with a programming language such as Python.
 </li>
 <li>
 Experience with agentic AI.
 </li>
 <li>
 Exceptional quantitative and analytical skills.
 </li>
 <li>
 Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Familiarity with BI tools such as Looker, Tableau, or similar platforms.
 </li>
 <li>
 Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
 </li>
 <li>
 AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.
 </li>
 <li>
 Experience with Salesforce data integration.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate&rsquo;s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
 
 
 Brex LLC is a wholly owned subsidiary of Capital One, N.A.
 
 
 
 Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
 
</div>

Data Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s
 
 Financial Engineering (FinEng)
 
 team powers how revenue flows through our products&mdash;pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.
 
 
 
 About The Role
 
 
 
 As a Data Scientist on FinEng, you&rsquo;ll own the analytics and experimentation that improve our
 
 checkout and payments
 
 ,
 
 subscriptions
 
 , and
 
 pricing &amp; monetization
 
 systems. You&rsquo;ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.
 
 
 This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Own checkout &amp; payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.
 </li>
 <li>
 Build and run the experimentation program for in-house checkout&mdash;define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren&rsquo;t feasible.
 </li>
 <li>
 Create operational visibility and source-of-truth data with FinEng Data Engineering&mdash;land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.
 </li>
 <li>
 Lead subscription, retention, and monetization analytics&mdash;ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you have
 
 
 
 <ul>
 <li>
 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
 </li>
 <li>
 Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
 </li>
 <li>
 Experience building product metrics from scratch and operationalizing them for decision-making
 </li>
 <li>
 Excellent communication skills with PMs, engineers, risk/finance partners, and executives
 </li>
 <li>
 Strategic instincts beyond significance tests&mdash;clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)
 
 
 </li>
 </ul>
 
 You could be an especially great fit if you have
 
 
 
 <ul>
 <li>
 Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce)
 </li>
 <li>
 Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation
 </li>
 <li>
 Experience with internationalization/local payments, FX, and pricing &amp; packaging strategy
 </li>
 <li>
 Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Data Scientist, Financial Engineering

<div>The Opportunity 
 
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn&rsquo;t clear, using these moments as opportunities to grow. 
 
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving. 
 
Responsibilities 
 
<ul><li>Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis</li><li>Developing and maintaining data pipelines, integration, and transformation solutions to support client needs</li><li>Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities</li><li>Applying data architecture development and database management skills to optimize data solutions</li><li>Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management</li><li>Building and managing data lakes and warehouses to support large-scale data storage and retrieval</li><li>Confirming data quality and validation through rigorous testing and performance tuning</li><li>Collaborating with clients to understand their data requirements and deliver actionable insights</li><li>Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization</li><li>Implementing data security best practices to protect sensitive information and maintain compliance</li><li>Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing</li><li>Supporting the development of data strategies to drive business growth and informed decision-making</li></ul> 
What You Must Have 
 
<ul><li>At least a Bachelor's degree</li><li>At least 2 years of experience</li></ul> 
What Sets You Apart 
 
<ul><li>Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics</li><li>Demonstrating proficiency in data engineering platforms like Databricks</li><li>Utilizing cloud platforms such as AWS and Microsoft Azure</li><li>Excelling in data architecture development and data modeling</li><li>Implementing data pipeline and data integration strategies</li><li>Navigating complex data environments with Apache Hadoop and Airflow</li><li>Applying critical thinking to solve data-related challenges</li></ul> 
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines 
 
#LI-Hybrid</div>

Data Engineer - Senior Associate

City and County of San Francisco

<div>Company Description 
<ul><li>
Application Opening: 06/11/2026</li><li>
Application Filing Deadline: 06/26/2026</li><li>
Annual Salary: $137,098 - $166,530
</li><li>Recruitment ID: TEX-1244-162120 / RTF0162119-01148212
</li></ul>APPOINTMENT TYPE: Temporary Exempt: This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer.
The duration of the appointment shall not exceed 36 months.
WHO ARE WE? 
San Francisco Public Utilities Commission (SFPUC) 
Headquartered in San Francisco, we have 2,300 employees operating across eight counties serving more than 2.7 million customers in the San Francisco Bay Area &ndash; 24 hours per day, 365 days per year.
Our Mission: To provide our customers with high quality, efficient, and reliable water, power, and wastewater services in a manner that values environmental and community interests and sustains the resources entrusted to our care.
Our Vision: We are an innovative utility leader, recognized for excellent results in service, safety, stewardship, and inclusiveness.
We are an award-winning and industry-leading utilities organization committed to our customers, community interests, and the environment. To learn more about our organization, please visit our website at https://www.sfpuc.org/.
We are proud of our infrastructure and programs, but most importantly, we value our highly qualified and dedicated workforce which ensures that this vision becomes a reality.
To learn more about working at the SFPUC, visit our career site at https://www.sfpuc.org/about-us/careers-sfpuc
About the People Science Team
People Science team within Human Resource Services at the SFPUC strives to create a workplace with thriving, diverse, and engaged employees using innovative, behavioral science-based research and consulting to the SFPUC. 
Job Description 
Under direction, the Senior People Science Analyst performs professional work in analyzing, researching, and consulting functions related to competency modeling, employee engagement, people analytics, talent management consulting, workforce planning, and racial equity.
Essential Functions:
The essential duties include, but are not limited to the following:<ul><li>
Provide strategic research and best practice-based consultation to business leaders related to talent management strategies, organizational effectiveness initiatives, and human resources policies and practices.</li><li>
Lead complex projects, including project scoping, developing project plans, and communication plans, and managing external partnerships.</li><li>
Independently compile and analyze data using standard software programs such as Excel; create compelling data visualizations and actionable insights to support workforce, talent and organizational decision-making.</li><li>
Manage a portfolio of internal clients and lead the development of competency models (i.e., critical technical, behavioral, and leadership competencies required for successful performance) serving as team lead for competency-based talent management projects and related processes.</li><li>
Develop and improve talent management processes (e.g., recruitment and selection, performance management, career pathing, leadership development) to align with our competency framework and workforce needs.</li><li>
Conduct research and advanced data analysis to identify strategic actions and recommendations to support SFPUC&rsquo;s Racial Equity Action Plan, and other organizational priorities.</li><li>
Facilitate workshops and strategic discussion with business leaders and employees to support workforce planning, leadership development, organizational development, and team effectiveness initiatives.</li><li>
Design and develop survey instruments and interview protocols, assessments, and other data collection tools to gather data and information.</li><li>
Plan and create strategic content, resources, and communications (e.g., site pages, training guides, presentations, newsletters) tailored to diverse groups.</li><li>
Prepare and deliver executive-level, visually appealing reports and engaging presentations to communicate findings and recommendations, policies, and strategic insights to diverse, non-technical audiences.</li><li>
Identify and implement opportunities to improve team processes, operational efficiency, and service delivery.</li><li>
Direct the work and assist in the professional development of interns, junior team members, and cross-functional project contributors; providing coaching, guidance, and training.</li><li>
Demonstrated advanced experience utilizing and administering technology platforms, software applications, and digital tools such as Visier (people analytics), Quantum Workplace (engagement suite), Microsoft Office Suite, SharePoint (including site development), Survey Monkey, Adobe Illustrator or similar tools or technologies.</li></ul>
The 1244 Senior People Science Analyst will perform other related duties as assigned. 
Qualifications 
Minimum Qualifications:
Education:
Possession of a baccalaureate degree from an accredited college or university.
Experience:
Three (3) years of verifiable professional human resources experience, similar to 1241 Human Resources Analyst, in one or more of the following areas of activity: recruitment and selection; classification and compensation; employee and/or labor relations; benefits administration; human resources operations; diversity, equity, and inclusion; and personnel training.
Substitution:
Education Substitution - Additional qualifying work experience as a professional human resources analyst may be substituted for up to two years of the required education on a year-for-year basis (30 semester/ 45 quarter units equals one year).
Experience Substitution - Completion of a 12-month human resources trainee program equivalent to the City and County of San Francisco's 1249 Human Resources Training Program may substitute for one (1) year of required professional experience.
Experience Substitution - Possession of a Juris Doctorate (J.D.) or Master's degree in Personnel Administration, Human Resources Management, Business Administration, Public Administration or Clinical/School/Industrial-Organizational Psychology may substitute for one (1) year of the required professional experience. MQs must reflect the class specification for those classes with set MQs.
One year of full-time employment is equivalent to 2000 hours. (2000 hours of qualifying work experience is based on a 40-hour work week.) Any overtime hours that you work above forty (40) hours per week are not included in the calculation to determine full-time employment.
Applicants must meet the minimum qualification requirement by the final filing date unless otherwise noted.
Desirable Qualifications: The stated desirable qualifications may be considered at the end of the selection process when candidates are referred for hiring.<ul><li>
Graduate degree in Industrial-Organizational Psychology, or other closely related field (e.g., Industrial Psychology, Organizational Behavior, Applied Social Psychology, Behavioral Psychology), Data Science, Data Analytics, Public Administration, or Business Administration.</li><li>
Experience and/or professional certifications in the areas of competency modeling, strategic workforce planning, employee experience/engagement, surveys and analytics, diversity, equity &amp; inclusion, and/or talent management consulting.</li><li>
Demonstrated experience in designing, evaluating, and improving human resources programs through the application of organizational research, employee and workforce data analysis, project management, and change management principles.</li><li>
Experience using technologies such as Visier, Quantum Workplace, SharePoint, Survey Monkey, and Adobe Illustrator or similar data visualization and survey platform tools.</li></ul>
Verification of Education and Experience:
Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. Education verification information on verifying foreign education credits or degree equivalency, can be found at How to Verify Education Requirements | Department of Human Resources (sfdhr.org).
Note: Falsifying one&rsquo;s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.
All work experience, education, training, and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications. Resumes will not be accepted in lieu of a completed City and County of San Francisco application. Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores. 
Additional Information 
Additional Information Regarding Employment with the City and County of San Francisco:<ul><li>
Information About The Hiring Process</li><li>
Conviction History</li><li>
Employee Benefits Overview</li><li>
Equal Employment Opportunity</li><li>
Disaster Service Worker</li><li>
ADA Accommodation</li><li>
Veterans Preference</li><li>
Right to Work</li><li>
Copies of Application Documents</li><li>
Diversity Statement</li></ul>
HOW TO APPLY
Applications for City and County of San Francisco jobs are only accepted through an online process. Visit https://careers.smartrecruiters.com/CityAndCountyOfSanFrancisco1/ and begin the application process.<ul><li>
Select the &ldquo;Apply Now&rdquo; button and follow instructions on the screen</li></ul>
Applicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and updated. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com).
Applicants will receive a confirmation email from notification@smartrecruiters.com that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received.
Job Analyst Information: If you have any questions regarding this recruitment or application process, please contact the job analyst, Sari Mix at SMix@sfwater.org.<div></div>
The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.</div>

Senior People Science Analyst – Human Resource Services – San Francisco Public Utilities Commission (1244)

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