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MaintainX

<div>
 MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.
 
 
 We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.
 
 
 As a
 
 Data Analyst - GTM
 
 , you will use your expertise in analysis &amp; BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data &amp; Analytics team - who are tasked with supporting MX as a whole.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner&mdash;anticipating needs &amp; prioritizing execution
 </li>
 <li>
 Accountable for marketing BI infrastructure: Build, maintain &amp; enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
 </li>
 <li>
 Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
 </li>
 <li>
 Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
 </li>
 <li>
 Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
 </li>
 <li>
 Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
 </li>
 <li>
 Budget setting: Support stakeholders with goal setting &amp; related reporting
 </li>
 <li>
 Information sharing: Present dashboards, results and recommendations
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field
 </li>
 <li>
 4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
 </li>
 <li>
 You're a builder, not just an analyst: You don't just answer questions&mdash;you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
 </li>
 <li>
 You're a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
 </li>
 <li>
 You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
 </li>
 <li>
 Strong proficiency in Tableau and Salesforce
 </li>
 <li>
 Excellent SQL skills and experience with database management systems &amp; pipelines
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Competitive salary and meaningful equity opportunities.
 </li>
 <li>
 Healthcare, dental, and vision coverage.
 </li>
 <li>
 401(k) / RRSP enrollment program.
 </li>
 <li>
 Take what you need PTO.
 </li>
 <li>
 A Work Culture where:
 </li>
 <ul>
 <li>
 You&rsquo;ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
 </li>
 <li>
 We believe in meritocracy, where ideas and effort are publicly celebrated.
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 Our mission is to deliver one platform for maintenance, repair &amp; operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That&rsquo;s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
 
 
 MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>

Data Analyst, GTM

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance &amp; Strategy (F&amp;S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world.

This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science &amp; Analytics, and Finance &amp; Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business&mdash;revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&amp;L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor of building durable data systems as our company goes through a phase of rapid growth.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul>
<li>Deliver high-impact analyses and deep dives that surface key insights about Anthropic's financial performance directly to finance and executive leadership
</li>
<li>Build and maintain canonical datasets, dashboards, and scaled reporting solutions that provide real-time financial visibility across the company
</li>
<li>Partner with Finance &amp; Strategy teams (Product, Compute, GTM, and Corporate) to answer their most important questions and streamline recurring analytical workflows
</li>
<li>Establish analytics engineering and BI best practices for F&amp;S, including data management, governance, and reporting standards
</li>
<li>Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines supporting finance and accounting analytics
</li>
<li>Champion data-informed decision making across the organization
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you:</h2>
<ul>
<li>Have 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance &amp; Strategy, Data Infrastructure and Analytics Engineering
</li>
<li>Are highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation
</li>
<li>Have a track record of producing analyses that have meaningfully influenced business or leadership decisions
</li>
<li>Have extensive experience with data visualization and using Claude / AI tools for data analysis and BI
</li>
<li>Have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)
</li>
<li>Have hands-on experience working with financial systems and building downstream data models from these systems
</li>
<li>Excel at translating complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives
</li>
<li>Are detail-oriented with a deep commitment to data accuracy
</li>
<li>Thrive in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables
</li>
<li>Operate with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact
</li>
</ul><h2 class="jobSectionHeader">Strong candidates may have:</h2>
<ul>
<li>Championed AI driven analytics and financial analysis within their organizations
</li>
<li>Prior experience in high-growth technology companies or startups
</li>
<li>Strong financial acumen with deep understanding of finance principles
</li>
<li>Knowledge of statistical analysis and advanced analytics techniques
</li>
<li>Familiarity with data governance best practices and experience implementing data quality frameworks
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div><div>
Annual Salary:</div><div>
$270,000 - $320,000 USD</div></div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process</div></div>

Analytics, Finance & StrategyNew

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by establishing robust analytics engineering and business intelligence capabilities for our Finance &amp; Accounting organization. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting our financial operations as we deploy safe, frontier AI at scale to the world.

As a founding Data Scientist on Anthropic's Finance Forecasting team, you'll own revenue forecasting models that drive capacity planning and board reporting, build the backtesting and accuracy discipline that makes those forecasts trustworthy, and lead causal measurement work that tells us how much a given launch or event actually moved revenue &mdash; turning what is currently a best-guess conversation into a designed, repeatable readout.

We're hiring for two seats on this team, and we expect candidates to lead with depth in either production time-series forecasting or causal inference. Both shapes are first-class; tell us in your application which one feels more like you.

This is a build role on a small team. The forecast is visible inside the company, and when it's wrong, people notice. We're looking for someone who would rather have their models scored than stay vague, and who is excited to set the bar for how forecasting is done here.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul>
<li>Own a core piece of the team's modeling work &mdash; either the production revenue forecasts themselves (scoping, development, backtesting, deployment, monitoring) or the causal measurement program for launches and events
</li>
<li>Build and run backtesting and accuracy tracking for your models, and use the results to improve quality cycle over cycle
</li>
<li>Contribute to the team's broader research direction, including event-aware forecast architectures, hierarchical reconciliation, and causal designs that hold up under launch-driven step-changes
</li>
<li>Translate model output and accuracy results into clear recommendations for Finance and executive leadership
</li>
<li>Partner with the team's Analytics Engineer on feature pipelines, model deployment, and the forecast store
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you:</h2>
<ul>
<li>Have substantial experience in data science, forecasting, or quantitative finance, including time owning models in production rather than only in notebooks
</li>
<li>Are deeply fluent in Python and SQL and comfortable productionizing what you build
</li>
<li>Have a strong applied statistics foundation, with depth in either production time-series methods (Prophet, ETS, ARIMA, gradient-boosted approaches, neural forecasting, hierarchical reconciliation) or causal inference (difference-in-differences, synthetic control, Bayesian structural time series, event studies)
</li>
<li>Have built backtesting and accuracy-tracking discipline before and are comfortable having your models scored publicly
</li>
<li>Have presented and defended a forecast or causal estimate to executives
</li>
<li>Have a bias for action and do your best work in ambiguous, early-stage environments
</li>
</ul><h2 class="jobSectionHeader">Strong candidates may also have:</h2>
<ul>
<li>Experience with exogenous-regressor or event-aware forecasting approaches
</li>
<li>Familiarity with hybrid or foundation-model forecasting (TimeGPT-class systems)
</li>
<li>Background in pricing and elasticity modeling or marketing-mix modeling
</li>
<li>Experience forecasting a consumption-based or usage-billed business (cloud, API, marketplace)
</li>
</ul><h2 class="jobSectionHeader">What success looks like in your first year:</h2>
<ul>
<li>A cross-methodology accuracy baseline is published as a standing Finance metric
</li>
<li>The base revenue forecast is measurably more accurate than today's consensus on the same out-of-sample window
</li>
<li>Launch incrementality is a standing readout with a designed, backtested method behind it
</li>
<li>Forecasts are queryable from the forecast store and feeding capacity planning and board reporting
</li>
</ul><h2 class="jobSectionHeader">Things to know</h2>

Anthropic's business is growing quickly, with launch-driven step-changes that mean what worked last quarter may not generalize. Methodology direction is a research program, not a settled architecture. You'll be building practices and systems while also delivering a monthly number, alongside an Analytics Engineer who is building the platform underneath you.</div><div><div><div><div>
The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div><div>
Annual Salary:</div><div>
$270,000 - $320,000 USD</div></div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process</div></div>

Data Scientist, Finance ForecastingNew

Signify Technology

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain business reporting solutions &amp; reports, providing clear, actionable insights to stakeholders across the company.
 </li>
 <li>
 Conduct data analysis and present insights that drive decisions for product features and business strategy.
 </li>
 <li>
 Design and execute A/B tests to evaluate product changes and optimize program performance.
 </li>
 <li>
 Use SQL and Python (including libraries like Pandas and NumPy) to manipulate and analyze large datasets.
 </li>
 <li>
 Collaborate with product managers, engineers, and other stakeholders to define data needs and deliver insights that improve business outcomes.
 </li>
 <li>
 Identify trends, patterns, and opportunities through data and communicate findings in clear, accessible reports and presentations.
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Economics, or a related field.
 </li>
 <li>
 Proven experience in business reporting and data analysis, ideally in a fast-paced environment.
 </li>
 <li>
 Strong knowledge of SQL for data manipulation and reporting and Python for data analysis and automation
 </li>
 <li>
 Hands-on experience building dashboards and visualizations with Tableau
 </li>
 <li>
 Strong understanding of A/B testing and experimentation
 </li>
 <li>
 Strong understanding of statistics and statistical analysis
 </li>
 <li>
 Solid problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Excellent communication skills, with the ability to present complex insights to both technical and non-technical audiences.
 </li>
 <li>
 Business acumen with a focus on driving strategic decision-making through data insights.
 
 
 
 </li>
 </ul>
 
 Bonus Qualifications
 
 
 
 <ul>
 <li>
 Experience working with cloud data platforms such as Snowflake or AWS.
 </li>
 <li>
 Experience with experimentation or web analytics platforms (e.g.,Split.io, Heap).
 </li>
 <li>
 Familiarity with data science concepts such as machine learning or predictive analytics.
 </li>
 </ul>
</div>

Data Analyst

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 We are looking for an experienced Data Scientist to support our central analytics and finance disciplines at Twitch. Bringing to bear a mixture of data analysis, dashboarding, and SQL query skills, you will use data-driven methods to answer business questions, and deliver insights that deepen understanding of our viewer behavior and monetization performance. Reporting to the VP of Finance, Analytics, and Business Operations, your team will be located in San Francisco.
 
 
 Our team is based in San Francisco, CA.
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Create actionable insights from data related to Twitch viewers, creators, advertising revenue, commerce revenue, and content deals.
 </li>
 <li>
 Develop dashboards and visualizations to communicate points of view that inform business decision-making.
 </li>
 <li>
 Create and maintain complex queries and data pipelines for ad-hoc analyses.
 </li>
 <li>
 Author narratives and documentation that support conclusions.
 </li>
 <li>
 Collaborate effectively with business partners, product managers, and data team members to align data science efforts with strategic goals.
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 3+ years of data science experience with a Bachelor's degree in a quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science).
 </li>
 <li>
 Expertise in using SQL for data analysis, reporting, and dashboarding.
 </li>
 <li>
 Expertise with visualization tools like Tableau or Quicksight.
 </li>
 <li>
 Experience with a scripting language such as Python or R.
 </li>
 <li>
 Comfort with data warehouses and big data technologies at consumer scale such as Redshift, Snowflake, Big Query, etc.
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Doctorate degree in a quantitative field (e.g. Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science)
 </li>
 <li>
 Experience in gaming or digital media
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW9095
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 US, CA, San Francisco
 
 
 $157,300&mdash;$212,800 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Data Scientist

Forge Global

<div><div>At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge&rsquo;s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.</div><div>

The Role:

As a Business Systems Analyst / Administrator on the Business Systems and Insights team, you&rsquo;ll serve as the bridge between business operations and technology. You&rsquo;ll analyze, configure, and maintain our core systems to drive efficiency, support financial workflows, and deliver strategic solutions.

Location: This role requires 2-3 days a week in office in San Francisco, CA.
<div>
Responsibilities: 
<ul><li>Gather, analyze, and document business requirements from stakeholders across finance, operations, and product teams.</li><li>Translate business needs into functional specifications, system workflows, and configuration design.</li><li>Configure, administer, and maintain enterprise systems (e.g., ERP, accounting, CRM, back-office tools).</li><li>Lead system upgrades, new implementations, and integration projects; manage vendor relationships.</li><li>Develop and execute test plans, including user acceptance testing (UAT), to validate system changes.</li><li>Train end users, create documentation (user guides, SOPs), and provide post-implementation support.</li><li>Monitor system performance, perform root cause analysis for issues, and proactively recommend process improvements.</li><li>Ensure compliance with regulatory and internal controls relating to financial systems.</li></ul> 

Qualifications: 
<ul><li>Bachelor&rsquo;s degree in Business, Information Systems, Finance, or a related field.</li><li>3&ndash;6 years of experience in a business systems analyst or systems administrator role within financial services, fintech, or accounting systems.</li><li>Strong understanding of financial operations, accounting principles, and regulatory requirements.</li><li>Proficiency with system configuration, user management, and role-based permissions.</li><li>Hands-on experience with system testing, UAT, and issue resolution.</li><li>Excellent communication skills &mdash; able to translate technical concepts to non-technical stakeholders and vice versa.</li><li>Analytical mindset with strong problem-solving and process-improvement skills.</li></ul></div>
<div>
Preferred Skills (Nice-to-Have) 
<ul><li>Experience administering SaaS platforms (e.g., Zendesk, Hubspot)</li><li>Experience working in a high-growth or startup environment.</li><li>Prior exposure to financial reporting, accounting automations, or transactional systems.</li></ul></div>

For residents of San Francisco, CA the annual salary range for this role is $122,000 - $150,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors</div><div>

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches.

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.</div></div>

Business Systems Analyst / Administrator

Samba TV

<div>
 
 
 Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.
 
 
 
 
 
 
 Samba is looking for a Director of Content Marketing to lead and elevate our content strategy end-to-end. In this role, you will build a high-performing content engine, our own editorial newsroom, powered by Samba&rsquo;s unmatched media intelligence across TV, web, and emerging platforms. You&rsquo;ll shape the stories that define our brand, showcasing our industry-leading TV and digital viewership data, AI/ML innovations, agentic workflow solutions, and next-generation ad tech products.&nbsp;
 
 
 
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 As a senior leader operating at the intersection of advanced AI technology and programmatic advertising, you will translate complex data science concepts into clear, compelling content that engages advertisers, agencies, publishers, and technology partners. You will own the full content lifecycle from ideation to distribution, while partnering closely with Product Marketing, PR, Sales, Technical teams, and executive leadership to ensure alignment and impact across the organization. You will manage a small scale high performing team. Deliverables will depend on your storytelling skills and ability to project manage creation of snackable quick visual bites of insights (charts, infographics, etc), as well as shorter reports.
 
 
 
 
 
 
 What You'll Do
 
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 Content Strategy &amp; Execution
 
 
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 Build and lead a high-performing content engine, our editorial newsroom, leveraging Samba&rsquo;s cross-screen media intelligence.
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 Drive a focused content strategy aligned with launches, GTM priorities, and audience needs.
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 Produce high-impact, multi-format content (reports, visuals, articles, social, case studies, videos, enablement).
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 Translate complex data and AI/ML concepts into clear, snackable narratives.
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 Create repeatable storytelling frameworks around cross-screen insights, measurement, AI audiences, and ad effectiveness.
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 Own the content calendar end-to-end for timely, high-quality output.
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 Collaborate with data science, product, and engineering for accuracy and clarity.
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 Thought Leadership &amp; Brand Storytelling
 
 
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 Position Samba as the leader in AI-driven advertising, cross-screen measurement, and the future of streaming.
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 Partner with PR/Comms on executive thought leadership, media narratives, and analyst/conference content.
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 Identify content opportunities from trends, competition, customer insights, and internal innovation.
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 Ensure narrative consistency across touchpoints and develop strong customer stories that demonstrate ROI.
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 Social &amp; Distribution
 
 
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 Manage and optimize distribution across LinkedIn, X, and other channels.
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 Lead social strategy to amplify thought leadership and product news.
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 Monitor engagement and performance to refine content decisions
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 Collaborate with Digital Marketing to support GEO, SEO, SEM, and paid promotion.
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 Who You Are
 
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 7-10+ years in content marketing; bonus if in ad tech, martech, data platforms, or SaaS.
 
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 Comfortable and excited about creating content topics around AI/ML, data science, predictive analytics, and AI-driven marketing.
 
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 Hands-on use of AI tools (e.g., GPT, Claude, autonomous agents, orchestration frameworks).
 
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 Can work independently driving projects end-to-end, while also managing a team of high - performers.
 
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 Exceptional writer/storyteller able to simplify technical concepts for varied audiences.
 
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 Full-stack creator for visual form content, long-form reports, and social posts
 
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 Curious, collaborative, and effective across Product, Sales, Marketing, and Exec teams.
 
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 Learns quickly and thrives in fast-changing environments.
 
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 Bias for action&amp;mdash;ships, learns, iterates.
 
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 Writes in a clear, human, on-brand voice.
 
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 Comfortable speaking at conferences.
 
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 BA in Marketing, Communications, Journalism; advanced degree a plus.
 
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 Samba expects to offer a base salary between $170,000 - $180,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba&rsquo;s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
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 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
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 For residents of the EU , Samba Inc. is the data controller.
 
 
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Director of Content Marketing

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