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ai transformation specialist Jobs in San Francisco

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analyst, solutions management

analytics & automation lead, user safety & risk operations Jobs in San Francisco

analytics finance strategynew

Figure

<div>About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we've originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance.

About the Role

At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, serving as the analytical engine that powers the entire business. From architecting the data models that drive risk and capital allocation to delivering the reporting and insights that guide growth strategy and operational excellence, we ensure every department has the intelligence needed to win.

As a Senior/Staff Data Analyst, you will be a vital driver of our growth and product evolution, partnering closely with Marketing, Product Management, and Engineering to optimize the borrower journey. Your work will directly influence how we acquire customers, the efficiency of our loan application funnel, and the long-term value of our customer base.

You will bridge the gap between user behavior and business strategy, combining analytical rigor with product intuition to help leaders understand the &quot;how&quot; and &quot;why&quot; behind the customer experience. While your primary focus is on the front-end growth engine, you are a generalist at heart - capable of architecting data models that serve the entire organization's need for clear, actionable intelligence from top-of-funnel to capital allocation.

What You'll Do
<ul>
<li>Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, &quot;gold-standard&quot; datasets. You will ensure our product and acquisition data is clean, organized, and optimized for cross-functional use.</li>
<li>Build and maintain scalable frameworks to monitor the loan application funnel identifying friction points, drop-off behaviors, and opportunities to improve conversion from lead to funded loan.</li>
<li>Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to track KPIs like CAC (Customer Acquisition Cost), Approval Rates, and Origination Volume in real-time.</li>
<li>Partner with Product and Marketing to design, execute, and analyze A/B tests, ensuring we make evidence-based decisions on everything from landing page optimization to credit offer presentation.</li>
<li>Act as the analytical backbone for the business, translating complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.</li>
</ul>
What We Look For
<ul>
<li>3&ndash;5+ years of experience using data to drive measurable business impact, specifically within Growth, Product Analytics, or Marketing Science.</li>
<li>Deep proficiency in SQL (preferably BigQuery); you are an expert at handling complex joins and window functions to reconstruct user journeys across marketing touchpoints and loan applications.</li>
<li>Proven ability to design and maintain structured datasets (star schemas, dbt models) that turn messy clickstream and CRM data into reliable tables for the entire business.</li>
<li>You don't just report data; you build intuitive dashboards that help managers visualize cohort performance, attribution models, and funnel velocity.</li>
<li>Strong grasp of statistical concepts like survival analysis (to model time-to-repayment or time-to-next-loan), causal inference, and significance testing.</li>
<li>Understanding of the lending lifecycle from initial acquisition through underwriting to funding and how product changes impact portfolio quality.</li>
<li>Clear, confident ability to translate complex data trends into actionable stories for both technical teams and executive leadership.</li>
<li>A generalist mindset you are comfortable navigating the ambiguity of a fast-moving environment and can apply your analytical toolkit to solve problems across different business domains.</li>
</ul>
Bonus Points
<ul>
<li>Experience building or working with multi-touch attribution (MTA) to understand the ROI of various marketing channels.</li>
<li>Familiarity with the mechanics of credit products and how user experience influences borrower selection and risk.</li>
<li>You can't resist digging into a data anomaly to find the &quot;why&quot; behind a sudden shift in application volume or a drop in funnel conversion.</li>
<li>You embrace learning from mistakes and are energized by the challenge of optimizing digital lending experiences through technical solutions.</li>
</ul>
Salary
<ul>
<li>Base Compensation Range: $110,000-$150,000/yr</li>
<li>25% annual bonus target, paid quarterly</li>
<li>Company equity in the form of RSUs</li>
</ul>
This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate's experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits
<ul>
<li>Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans 
Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits 
Employer-paid life and disability insurance 
11 observed holidays and PTO plan 
Up to 12 weeks of paid family leave 
Continuing education reimbursement</li>
</ul>
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-MM1 #LI-Remote</div>

Senior Data Analyst, Lending

Data Scientist, Product Analytics

Sia Experience

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
About Sia Experience-Marketing Advisory
Sia Experience is the end-to-end marketing and customer experience arm of Sia. Agile and collaborative, our Marketing Advisory Business Line is recognized for delivering high-impact, growth-focused solutions by blending marketing, CX, creative, AI, and deep industry expertise.
As strategic partners, The Marketing Advisory team empowers clients across technology, luxury, consumer goods, finance, energy, and more to scale operational excellence and drive brand-led growth through AI- and data-driven strategies. Our teams lead full-funnel marketing transformations&mdash;from strategy and go-to-market execution to experience design, performance measurement, and sustainable impact.
It&rsquo;s an exciting time to join us. SiaX has long been the agency behind some of the world&rsquo;s biggest brands&mdash;now we&rsquo;re expanding, becoming one of the most recognizable names for companies that demand bold, business-driving creative. We&rsquo;re shaping SiaX into the go-to agency of the future. This is your chance to be part of that growth, working alongside top-tier creatives, consultants and agency leaders to continuously evolve what a modern, full-service agency can be. Opportunities like this don&rsquo;t come around often&mdash;if you want in on the next level, this is it. 
Job Description 
Remote: (9-6pm PST hours)
Rate: $80-$90 an hour
Contract Length: 06/2026-12/2026
We are seeking an experienced Technical Project Manager with a strong marketing analytics foundation to lead execution of large-scale, high-impact marketing and projects. This role operates at the intersection of Marketing, Engineering, and Data Science, owning end-to-end campaign and project execution with a strong emphasis on operational rigor, technical excellence, and data-driven decision making.
Supporting multiple cross-functional development teams operating under a scrum methodology, this role is responsible for driving campaign launches, delivering centralized marketing performance reporting, maintaining roadmaps, and ensuring projects are delivered on time and aligned to business outcomes. The ideal candidate brings a marketing analytics background that enables them to not only manage projects but also meaningfully interpret performance data, partner with Decision Scientists, and translate insights into action, while communicating flawlessly with stakeholders at every level.
Key Responsibilities
Project Management<ul><li>
Own end-to-end execution of technical marketing launches and road maps from intake and planning through launch, QA, and performance analysis.</li><li>
Manage day-to-day project planning activities through team standups, project management tooling, and regular project meetings &mdash; proactively eliminating and mitigating risks and blockers.</li><li>
Translate campaign and product objectives into detailed technical implementation plans, aligning stakeholders on requirements, dependencies, and execution approach.</li><li>
Build and maintain detailed project plans and roadmaps outlining scope, timelines, and dependencies to ensure high-quality, on-time delivery.</li><li>
Initiate, schedule, and conduct project meetings with engineers, decision scientists, business analysts, and product managers; capture notes and follow up on action items.</li><li>
Collaborate with teams to create and drive roadmap and tactical activities against key project objectives, ensuring projects are added, prioritized, and removed as appropriate.</li><li>
Maintain visual executive-level roadmaps reviewed on at least a monthly cadence.</li></ul>
Campaign Setup &amp; Technical Execution<ul><li>
Own campaigns end-to-end, including hands-on configuration within internal tools (targeting, pacing, surface selection, asset uploads, etc.).</li><li>
Support end-to-end delivery of marketing workflow application development initiatives, partnering with Software Engineering, Product Management, and Data Engineering teams to define requirements, track progress, and ensure technical builds align to marketing operational needs.</li><li>
Drive campaigns through approval workflows and coordinate launches with Engineering and Marketing Data Science teams.</li><li>
Ensure accurate implementation and validation of campaign tracking, telemetry, and measurement systems prior to launch.</li><li>
Document campaign configurations, technical specs, and testing plans.</li><li>
Identify and drive tooling enhancements and process improvements to increase speed to market and reduce operational friction.</li></ul>
Sprint Management &amp; Agile Delivery<ul><li>
Create and update sprints with backlog; work with the team to groom the backlog and hold sprint reviews.</li><li>
Facilitate retrospectives and ensure agendas are submitted for all team meetings.</li><li>
Ensure all project tracking documents are created, kept up to date, and that work status is updated weekly with tasks broken out and dependencies tracked.</li><li>
Partner closely with Marketing, Creative, Engineering, Product, and Data Science teams to drive execution alignment and launch readiness.</li></ul>
Quality Assurance &amp; Optimization<ul><li>
Conduct QA to validate campaign setup, targeting accuracy, and delivery performance.</li><li>
Monitor live campaigns and partner with data science teams to deploy optimization strategies.</li><li>
Own bug intake and triage during testing and launch, working closely with Engineering to drive timely resolution.</li></ul>
Reporting &amp; Continuous Improvement<ul><li>
Leverage campaign adoption metrics, survey data, and performance analysis to evaluate project impact; apply marketing analytics knowledge to identify meaningful patterns and opportunities.</li><li>
Partner with Decision Scientists and Data Engineers to deliver standard, centralized marketing performance reporting across brand sentiment and performance marketing projects.</li><li>
Develop performance summaries and internal updates that highlight key insights, outcomes, and actionable recommendations &mdash; translating data into clear narratives for both technical and non-technical audiences.</li><li>
Drive continuous improvement by connecting analytics findings to campaign strategy, targeting, and execution adjustments.</li><li>
Ensure the team is working on the correct priorities; support resolution and mitigation of roadblocks and delivery risks.</li><li>
Ensure expected timelines are maintained and transparently communicated across stakeholders.</li><li>
Contribute to best practices, documentation, and process improvements across campaign and project operations.</li></ul>
How Success is Measured<ul><li>
Project tracking tools are kept current: all active projects created, statuses updated weekly, tasks broken out, and dependencies tracked and managed.</li><li>
Roadmaps are maintained at least monthly, with accurate prioritization and executive-ready views.</li><li>
Weekly team meetings are well-run: agendas submitted, notes captured, action items logged and followed up.</li><li>
Marketing performance reporting is delivered in a standardized, centralized, and timely manner &mdash; with insights that are actionable for both marketing teams and Decision Scientists.</li><li>
Projects are delivered on time with risks surfaced and resolved proactively.</li><li>
Cross-functional stakeholders are aligned and consistently informed throughout the project lifecycle.</li></ul> 
Qualifications<ul><li> 
8+ years in technical project management, marketing project management, or marketing operations; background in marketing analytics strongly preferred.</li><li>
Familiarity with marketing measurement concepts &mdash; including campaign attribution, A/B testing interpretation, brand sentiment analysis, and conversion analytics &mdash; with the ability to fluently read and QA performance data, partner effectively with data practitioners, and translate findings into campaign and project decisions; experience with SQL or BI tools (e.g., Tableau, Looker) a plus.</li><li>
Demonstrated ability to work with and interpret marketing performance data &mdash; including campaign metrics, brand sentiment indicators, and conversion analytics &mdash; to inform project decisions.</li><li>
Proven ability to manage multiple concurrent projects while proactively communicating status, progress, and blockers.</li><li>
Hands-on experience with marketing technology platforms, campaign management tools, or project management tooling (e.g., Jira, Asana, or equivalent).</li><li>
Strong experience partnering with Engineering, Data Science, Decision Science, and Analytics teams.</li><li>
Experience working in agile/scrum environments; familiarity with sprint planning, backlog grooming, and retrospectives.</li><li>
Excellent communication skills, with the ability to translate complex technical and analytical concepts for non-technical audiences and maintain executive-level visibility.</li><li>
Strong organizational skills, including planning, prioritization, and risk management.</li><li>
High attention to detail and a proactive, problem-solving mindset.</li><li>
Quick learner with strong technical aptitude; comfortable operating in fast-paced, cross-functional environments.</li></ul> 
Additional Information 
Compensation &amp; Benefits
We believe in supporting our team professionally and personally. Here&rsquo;s a snapshot of the comprehensive benefits you&rsquo;ll enjoy as part of Sia.
Competitive Compensation<ul><li>
$80-$90 an hour commensurate with experience and qualifications</li></ul>
Diversity, Equity, Inclusion &amp; Belonging
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
Office Workplace Guidelines
Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations&mdash;New York City, Charlotte, Seattle, and San Francisco&mdash;are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location.
Work Authorization &amp; Sponsorship
At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc).</div>

Technical Project Manager, Marketing - Contract

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 4 years of experience in a management consulting, operations, business strategy, investment banking, venture capital or private equity role, or 2 years of experience with an advanced degree.
 </li>
 <li>
 2 years of experience developing business strategies or managing cross-functional initiatives.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 MBA or advanced degree.
 </li>
 <li>
 Experience in marketing and familiarity with how marketing capabilities come together to drive impact.
 </li>
 <li>
 Ability to drive the development of product area, function, or sub-function strategies, working with leadership to develop and prioritize initiatives.
 </li>
 <li>
 Ability to support executives in defining overall communications strategy across the function and regions, overseeing the planning of internal events and aligning internal communications.
 </li>
 <li>
 Excellent problem solving, quantitative analysis, business judgment, and written and verbal communication skills.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Strategy &amp; Operations (S&amp;O) professionals in Google&rsquo;s Marketing organization provide business critical insights and analytics, ensure cross-functional alignment of goals and execution, and help teams drive strategic partnerships and new initiatives forward. Whether you are embedded within a specific marketing team to use insights to enable better marketing decisions or the global S&amp;O function to equip the organization to succeed at scale, you will engage with Google leadership in order to establish Marketing&rsquo;s strategic direction. You will manage planning and operational processes and work cross-functionally with key partners across Marketing, Product, Finance and Engineering to solve our toughest challenges, advocate for high-priority projects, and drive greater operational excellence within Marketing.
 
 
 To be successful in this role, you have a hypothesis-driven approach to problem solving, effective quantitative and communication skills, and the ability to take on broad-reaching and ambiguous questions while working collaboratively and cross-functionally with Googlers of all levels.
 
 
 The Subscriptions and Customer Growth Marketing organization drives consumer apps and subscription growth. We partner with product engineering and insights to understand the user and bring helpful products to market while deepening the consumer relationship. We&rsquo;re passionate about showing consumers how to get more out of their favorite Google subscriptions and consumer apps.
 
 
 Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
 
 
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 US: $116000 - $167000 (USD) + 15% bonus target + bonus + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Partner with leadership to set Marketing&rsquo;s plan globally, managing Marketing&rsquo;s critical priorities, and corresponding investments.
 </li>
 <li>
 Manage the long term, annual and quarterly planning cycles. Establish Marketing&rsquo;s priorities and conduct data-motivated business analytics to support and make recommendations on strategy and investment.
 </li>
 <li>
 Improve Marketing efficiency and effectiveness by applying a diligent approach to Marketing operational processes. Streamline workflows to reduce friction and busy work.
 </li>
 <li>
 Ensure budget and talent are mapped to the highest-priority bets. Establish clear Key Performance Indicators (KPIs) and reporting processes to measure impact.
 </li>
 <li>
 Drive the adoption of AI tools to scale productivity and unlock smarter workflows.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Marketing Strategy and Operations Manager, Subscriptions and Customer Growth

MaintainX

<div>
 MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
 
 
 We're growing fast and hiring the talent to match.
 
 
 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

Swish Analytics

<div>
 
 Company Overview
 
 
 
 Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
 
 
 
 Job Description - This position is 100% Remote
 
 
 
 
 Duties:
 
 
 
 <ul>
 <li>
 Manage client risk, ensuring the highest margins on Swish products through +EV decisions
 </li>
 <li>
 Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch &amp; in-play settings
 </li>
 <li>
 Strategically research &amp; track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
 </li>
 <li>
 Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Minimum of 3 years of in-play experience at a sportsbook
 </li>
 <li>
 Deep understanding of sports betting and odds origination
 </li>
 <li>
 Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
 </li>
 <li>
 Strong mathematical, statistical, and/or analytical skills &ndash; ability to understand and calculate + convert odds on the fly
 </li>
 <li>
 Results driven work ethic &ndash; focused on improving process, results and profitability
 </li>
 <li>
 Availability to work flexible schedules, including nights, weekends and/or holidays
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in a STEM discipline
 </li>
 <li>
 An understanding of relational database systems (MySQL)
 </li>
 <li>
 Experience working with cross functional teams (Data Science teams a plus)
 
 
 </li>
 </ul>
 
 Salary:
 
 $80,000 - DOE
 
 
 
 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer&rsquo;s discretion, this position may require successful completion of background and reference checks.
 
</div>

Trading Analyst

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