data engineer

data analyst

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data engineer - data engineering Jobs in San Francisco

data engineer - data engineering

data scientist, product analytics Jobs in San Francisco

data scientist, product analytics

data analytics analyst

The Walt Disney Company

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The Data Organization within The Walt Disney Company Direct to Consumer (DTC) business is seeking a Data Analyst to join our Marketing Analytics team. This team plays a crucial role in supporting products across Disney+, Hulu, and ESPN. This initiative is key to the expansion of DTC's streaming services in the US. Our team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our business clients make informed, data-driven decisions.
 <br/>
 <br/>
 Our objective is to analyze subscriber growth, engagement, retention, and overall behavior across Disney+, Hulu, and ESPN to deliver actionable insights to our partners across Marketing, Product, Data Science, and Data Solutions. We are committed to generating high-quality, high-impact analyses and ongoing reports to inform the strategic planning of our business partners concerning subscriber acquisition, engagement, and retention. We aim to educate the broader organization on the impact of promotions, major content releases, product launches, and other significant initiatives on our overall family of streaming services. We seek a data analyst who is proficient in working with large, complex datasets and possesses a strong ability to discover patterns and dig deeper into their causes and implications.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with business leaders to define the most pressing business challenges on subscriber growth, engagement, and retention trends and drivers and build analytical frameworks to answer these questions
  </li>
  <li>
   Help to craft an ongoing insights pipeline, ensuring that all business partners have a continuous stream of product intel
  </li>
  <li>
   Perform comprehensive trend analyses, evaluating the contributions of drivers from all possible angles
  </li>
  <li>
   Define and analyze audience segments to continue driving subscriber growth
  </li>
  <li>
   Partner with other Analytics teams to understand and harness all available data from disparate sources, uniting insights into a cohesive, actionable story
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Analytics, Mathematics, Data Science, or related field of study
  </li>
  <li>
   3+ years of hands-on analytical work experience with SQL. Experience with Python/R or other statistical packages (PySpark) is a plus.
  </li>
  <li>
   Expertise manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools
  </li>
  <li>
   Experience with data visualization tools such as Tableau, Looker, etc.
  </li>
  <li>
   Solid analytical skills with the ability to apply business strategy to data analysis and recommendations
  </li>
  <li>
   Highly collaborative with exceptional communication and presentation skills, including the ability to tell a story with data and to synthesize findings into actionable recommendations
  </li>
  <li>
   Familiar with other data tools such as Airflow, Databricks, etc.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in the streaming media industry or other subscription-based service
  </li>
  <li>
   Experience working with Marketing teams or in the Marketing landscape
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 #DISNEYTECH
 <br/>
 <br/>
 #DisneyAnalytics
 <br/>
 <br/>
 The hiring range for this position in San Francisco, CA is $106,800 - $143,200 and in Glendale, CA is $97,500 - $130,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
</div>


Data Analyst

Air Apps

<div>
 <strong>
  About Air Apps
  <br/>
  <br/>
 </strong>
 At Air Apps, we believe in thinking bigger&mdash;and moving faster. We&rsquo;re a family-founded company on a mission to create the world&rsquo;s first AI-powered Personal &amp; Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018&mdash;and now with offices in both Lisbon and San Francisco&mdash;we&rsquo;ve remained self-funded while reaching over 100 million downloads worldwide.
 <br/>
 <br/>
 Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you&rsquo;ll be a creative force, shaping products that empower people across the globe.
 <br/>
 <br/>
 Join us on this journey to redefine resource management&mdash;and change lives along the way.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Data Analyst
 </strong>
 at Air Apps, you will be responsible for
 <strong>
  analyzing and interpreting data
 </strong>
 to drive business insights and optimize product performance. You will create
 <strong>
  reports, dashboards, and performance metrics
 </strong>
 to help teams make informed decisions and improve user experience.
 <br/>
 <br/>
 This role requires a
 <strong>
  data-driven mindset, strong analytical skills, and experience with visualization tools
 </strong>
 to turn complex data into actionable insights.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze user behavior, product performance, and key business metrics to identify trends and opportunities.
  </li>
  <li>
   Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio.
  </li>
  <li>
   Collect, clean, and structure large datasets to ensure accuracy and usability.
  </li>
  <li>
   Define and track KPIs for marketing, product, and business performance.
  </li>
  <li>
   Work with SQL, Python, or R to extract, analyze, and manipulate data.
  </li>
  <li>
   Collaborate with product managers, engineers, and marketing teams to provide data-driven insights.
  </li>
  <li>
   Conduct A/B testing and experiment analysis to improve product features and user engagement.
  </li>
  <li>
   Identify bottlenecks and opportunities in user journeys and customer funnels.
  </li>
  <li>
   Present findings in a clear and compelling way to stakeholders and leadership teams.
  </li>
  <li>
   Stay up to date with industry trends, analytics best practices, and emerging data tools.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Around 3+ years of experience in data analysis, business intelligence, or a related field.
  </li>
  <li>
   Proficiency in SQL for data querying and manipulation.
  </li>
  <li>
   Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio).
  </li>
  <li>
   Strong analytical skills with experience in Python or R for data analysis.
  </li>
  <li>
   Knowledge of A/B testing methodologies and statistical analysis.
  </li>
  <li>
   Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools.
  </li>
  <li>
   Strong problem-solving skills and ability to communicate insights to non-technical stakeholders.
  </li>
  <li>
   Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake).
  </li>
  <li>
   Familiarity with ETL processes and data pipeline optimization is a plus.
  </li>
  <li>
   Ability to work in a fast-paced, data-driven environment and manage multiple projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What benefits are we offering?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Apple hardware ecosystem for work.
  </li>
  <li>
   Annual Bonus.
  </li>
  <li>
   Medical Insurance (including vision &amp; dental).
  </li>
  <li>
   Disability insurance - short and long-term.
  </li>
  <li>
   401k up to 4% contribution.
  </li>
  <li>
   Air Conference &ndash; an opportunity to meet the team, collaborate, and grow together.
  </li>
  <li>
   Transportation budget
  </li>
  <li>
   Free meals at the hub
  </li>
  <li>
   Gym membership
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Diversity &amp; Inclusion
  <br/>
  <br/>
 </strong>
 At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
 <br/>
 <br/>
 <strong>
  Application Disclaimer
  <br/>
  <br/>
 </strong>
 At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.
</div>


Uber

<div><b>About the Role</b>
<br>
<br>
We are looking for a data scientist who combines strong quantitative rigor with a deep interest in human behavior. This role sits at the intersection of business analytics consulting and employee listening, shaping company-wide decisions through advanced analytics, survey insights, and behavioral data.
<br>
<br>
<b>Role and Responsibilities
</b><br>
<br>
<b>Drive company-level workforce strategy</b>
<br>
<ul><li>Lead high-impact analytics that inform strategic decisions on engagement, retention, performance, and organizational health
</li><li>Translate ambiguous business questions into structured analytical frameworks and measurable outcomes
</li></ul><br>
<b>Apply advanced quantitative methods to people data</b>
<br>
<ul><li>Use statistical modeling, causal inference, experimentation, and/or machine learning to understand employee behavior and outcomes
</li><li>Work with messy, real-world people data and integrate multiple data sources (survey, HRIS, behavioral data)
</li></ul><br>
<b>Evolve employee listening analytics</b>
<br>
<ul><li>Analyze Uber-wide survey data and behavioral signals (e.g., organizational network analytics)
</li><li>Improve measurement approaches (survey design) and uncover actionable insights on employee experience
</li></ul><br>
<b>Influence stakeholders at all levels</b>
<br>
<ul><li>Communicate complex findings clearly to both technical and non-technical audiences
</li>Act as a thought partner to senior leaders, shaping decisions with data-backed recommendations<br>
<li>
</li></ul><br>
<br>
<b>What the Candidate Will Need / Bonus Points</b>
<b>- Basic Qualifications -</b><br>
<br>
<br>
<ul><li>Master's or PhD in a quantitative field (e.g., I/O Psychology, Organizational Behavior, Behavioral Economics, Statistics, Data Science, or related)
</li><li>Proficiency in SQL
</li>2+ years of industry experience using Python or R to analyze large-scale datasets<br>
<li>
</li></ul><b>- Preferred Qualifications -</b><br>
<br>
<br>
<ul><li>PhD with 1+ years, or MS with 3+ years of experience in applied research or data science (ideally in a fast-paced, tech environment)
</li><li>Strong foundation in statistical modeling, causal inference, experimentation, and/or machine learning
</li><li>Background in people analytics, HR data, or behavioral science applications
</li><li>Experience with survey design and measurement, and/or organizational network analysis (ONA)
</li>Demonstrated ability to leverage GenAI tools to automate, augment, or scale data analysis, insight generation, or research workflows<br>
<li>
</li></ul><br>
<br>
<br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Data Scientist, People Analytics

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 <br/>
 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
  </li>
  <li>
   Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
  </li>
  <li>
   Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
  </li>
  <li>
   Implement robust and fault-tolerant systems for data ingestion and processing.
  </li>
  <li>
   Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
  </li>
  <li>
   Ensure the security, integrity, and compliance of data according to industry and company standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
  </li>
  <li>
   Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  </li>
  <li>
   Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
  </li>
  <li>
   Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
  </li>
  <li>
   Solid understanding of Spark and ability to write, debug and optimize Spark code.
   <br/>
   <br/>
  </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 <br/>
 <br/>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $230K - $385K
</div>


Data Engineer, Analytics

GoodLeap

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
</div><div>
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h4 class="jobSectionHeader"><b><br>
Position Summary</b></h4>
<p>
We are seeking a Staff Analytics Engineer with skills in pipeline development, data modeling and reporting to support data enablement and operational reporting for our corporate teams, including product, sales, operations, risk and compliance. Our ideal candidate has a strong foundation in pipeline development, reporting, data architecture, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and scale data products used by corporate teams. You will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to stakeholders, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.</p>
<h3 class="jobSectionHeader"><b>
Essential Job Duties &amp; Responsibilities
</b></h3><div><div><ul><li><p>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions</p>
</li>
</ul></div><div><ul><li><p>Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs.</p>
</li>
</ul></div><div><ul><li><p>Build datasets, pipelines, and dashboards using &lsquo;Agile&rsquo; framework.</p>
</li>
</ul></div><div><ul><li><p>Design scalable data models and architecture patterns that support analytics use cases, ensuring alignment with organizational standards and data strategy.</p>
</li>
</ul></div><div><ul><li><p>Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations.</p>
</li>
</ul></div><div><ul><li><p>Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms.</p>
</li>
</ul></div><div><ul><li><p>Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Required Skills, Knowledge &amp; Abilities
</b></h3><div><ul><li><p>BS in Computer Science, DS, or related technical degree or equivalent work experience</p>
</li>
</ul></div><div><ul><li><p>6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst or similar role</p>
</li>
</ul></div><div><ul><li><p>5+ years' hands-on SQL experience in a work environment</p>
</li>
</ul></div><div><ul><li><p>Experience with data modeling, documenting process and data flows, and ensuring data quality</p>
</li>
</ul></div><div><ul><li><p>Experience with ETL processes, software development, and lifecycle awareness</p>
</li>
</ul></div><div><ul><li><p>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders</p>
</li>
</ul></div><div><ul><li><p>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses</p>
</li>
</ul></div><div><ul><li><p>Analytical mindset and willingness to identify and question assumptions</p>
</li>
</ul></div><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Staff Analytics Engineer, Business Solutions

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
</div><div>
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3>
<div>We are seeking a Staff Analytics Engineer with skills in pipeline development and data modeling to support data enablement and operational reporting for our Corporate teams, including legal, compliance, and accounting. Our ideal candidate has a strong foundation in pipeline development, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and expand on data reports used by Corporate teams. As Corporate teams use data generated in all parts of the business, you will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to Corporate teams, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions</li>
<li>Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs.</li>
<li>Develop datasets and dashboards within an agile framework.</li>
<li>Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.</li>
<li>Assist business users in identifying and deploying the right tool for each use case, including performing new tool and technology evaluations.</li>
<li>Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations.</li>
<li>Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul>
<li>BS in Computer Science, DS, or related technical degree or equivalent work experience</li>
<li>6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role</li>
<li>5+ years' hands-on SQL experience in a work environment</li>
<li>Experience with data management, documenting process and data flows, and ensuring data quality</li>
<li>Experience with ETL processes, software development, and lifecycle awareness</li>
<li>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders</li>
<li>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses</li>
<li>Analytical mindset and willingness to identify and question assumptions</li>
</ul><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Staff Analytics Engineer, Corporate

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