About Upstart At Upstart, we&#x2019;re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that&#x2019;s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We&#x2019;re proudly digital&#x2011;first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital&#x2011;first doesn&#x2019;t mean distant. We&#x2019;re intentional about in&#x2011;person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in&#x2011;person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you&#x2019;ll have the support to work in the way that works best for you. If you&#x2019;re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we&#x2019;d love to hear from you. The Team Upstart&#x2019;s Servicing Analytics team plays a critical role of providing analytical capability for Upstart&#x2019;s servicing functions to enable data&#x2011;driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services. About The Role As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart&#x2019;s success. Partnering closely with our Servicing product management, operations, engineering, and ML teams, you&#x2019;ll work directly with key stakeholders, helping drive understanding, insights, decision&#x2011;making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. You&#x2019;ll contribute to key areas such as identifying areas of opportunity via business reviews with leaders and product experiments, and driving operational efficiency. This role involves conducting in&#x2011;depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross&#x2011;functional teams to drive impacts. You will lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements. Creating regular executive-level presentations to communicate findings and strategic recommendations will be a key part of your responsibilities. You will design experiments and conduct quantitative analysis to test hypotheses about our users and their interactions with our servicing initiatives, collaborating with partners to prioritize the right problems and opportunities. Additionally, you will work with analytics engineering and software engineering teams to continuously enhance our servicing data capabilities, making new data accessible as the business expands, and accelerating the time to insights. Developing and maintaining business intelligence tools to support reporting and decision-making, mentoring junior team members, and fostering a culture of excellence in data and analytics will also be central to your role. Qualifications <ul><li>8+ years of work experience in increasingly senior analytical roles within the technology and finance industries</li><li>Strong background in payments, product, or operations analytics, with proficiency in SQL, Python, and/or R</li><li>Exceptional ability to derive actionable insights from data and communicate analytical stories effectively</li><li>Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode</li><li>Degree in Economics, Statistics, Mathematics, Engineering, Data Science, or other quantitative fields </li></ul>Preferred Qualifications <ul><li>Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, especially in financial or operational contexts</li><li>Expertise in consumer lending and knowledge of post-origination servicing and operations</li><li>Ability to craft executive&#x2011;ready narratives around complex business topics and influence VP+ decision-making</li><li>Proven ability to collaborate deeply with cross&#x2011;functional teams</li><li>Experience balancing multiple workstreams and priorities to maximize organizational impact</li><li>Experience coaching and mentoring junior team members on technical subjects </li></ul>Position Location This role is available in a remote capacity, allowing flexibility to work from anywhere within the U.S. while encouraging participation in periodic in&#x2011;person meetings and team onsites. Travel Requirements As a digital-first company, most work can be accomplished remotely. However, team members are encouraged to attend in&#x2011;person sessions, which typically occur once or twice per quarter for 2-4 days, to foster collaboration and team bonding. Benefits <ul><li>Competitive compensation package including base salary, bonuses, and quarterly vesting stock options</li><li>Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 annually</li><li>Employee Stock Purchase Plan (ESPP) with discounted stock purchase options</li><li>Affordable medical, dental, and vision plans, with Upstart covering 90% to 100% of the costs</li><li>Health Savings Account contributions for eligible plans</li><li>Income protection benefits including company-paid Life, AD&amp;D. </li></ul>Equal Opportunity Upstart is an Equal Opportunity Employer and considers all applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, or any other protected characteristic under federal, state, or local law. We are committed to fostering an inclusive environment where all team members are valued and empowered. All new hires are required to pass a background check as part of the onboarding process.

Data Analyst - Remote

Position: Business IntelligenceLocation: RemoteDuration: 6 &#x2013; 12+ month contract Note:<ul><li>USC/Green Card willing to work on W2 are advised to apply for this role</li><li>Candidate should have experience in Healthcare Claims Industry</li></ul> Job Description:<ul><li>Candidate should have 10+ Years of experience in Business Intelligence.</li><li>Candidate should have prior BI experience (Tableau and/or Power BI) with developing reporting solutions, dashboards, or automated reporting processes.</li><li>3+ years of Databricks development experience.</li><li>Candidate should have strong experience in Advanced SQL development skills.</li></ul>

Business Intelligence Consultant

Jobright is a personal AI job search agent that helps users navigate and accelerate their job search. The Mid-Level Data Analyst turns product, growth, and operational data into insights and recommendations through analytics, reporting, measurement, data quality, and cross-functional decision support. Why Join Us &#x2022; Build real, production AI agents used by real users&#x2022; High ownership and impact&#x2022; Work at the intersection of AI, agents, and product&#x2022; Shape how people experience AI-driven job search Responsibilities &#x2022; Analyse acquisition, activation, engagement, retention, and marketplace performance&#x2022; Build and maintain dashboards and recurring business reports&#x2022; Design metrics and validate data quality across multiple sources&#x2022; Perform cohort, funnel, experiment, and root-cause analyses&#x2022; Partner with stakeholders to define questions and measurement plans&#x2022; Translate findings into concise recommendations and next steps&#x2022; Improve reusable SQL queries, documentation, and analytics processesQualification Required &#x2022; 2 or more years of professional data analytics experience&#x2022; Strong SQL and spreadsheet skills&#x2022; Experience with dashboards and business intelligence tools&#x2022; Understanding of statistics, experimentation, funnels, and cohorts&#x2022; Strong analytical communication and problem-solving skills&#x2022; Ability to work effectively in a remote environment&#x2022; Authorised to work in the United States Preferred &#x2022; Experience with Python, Tableau, Looker, Power BI, or similar tools&#x2022; Familiarity with product analytics, marketplace data, or marketing attribution&#x2022; Experience working with cross-functional product teams

Data Analyst, Mid Level

Navitus About Us Navitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth. We welcome new ideas and share a passion for excellent service to our customers and each other._____________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities. ____________________________________________________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap. Pay Range USD $63,827.16 - USD $76,900.19 /Yr. STAR Bonus % (At Risk Maximum) 5.00 - Salaried Non-Management except pharmacists Work Schedule Description (e.g. M-F 8am To 5pm) M-F 8am to 5pm Remote Work Notification ATTENTION: Navitus is unable to offer remote work to residents of Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Rhode Island, South Carolina, South Dakota, West Virginia, and Wyoming. Overview Due to growth, we are adding an Analyst, Government Pricing to our team . The Analyst, Government Pricing is responsible for the development, maintenance, and administration of Medicaid FFS drug pricing methodologies and supporting analytical models. This role ensures accurate, compliant, and competitive reimbursement aligned with federal and state Medicaid requirements, including NADAC, CMS guidance, and HRSA 340B pricing constraints. The Analyst, Government Pricing supports Statements of Work (SOWs), pricing exhibits, and regulatory submissions through detailed financial modeling, data manipulation, and ongoing maintenance of pricing assumptions. This position works cross functionally with compliance, finance, legal, government programs, and client teams to ensure Medicaid pricing integrity, transparency, and audit readiness. Is this you? Find out more below! Responsibilities How do I make an impact on my team? <ul><li>Maintain and administer Medicaid fee for service drug pricing methodologies in accordance with federal and state Medicaid requirements. </li><li>Monitor and incorporate National Average Drug Acquisition Cost (NADAC) updates and related CMS guidance into pricing models and operational systems. </li><li>Evaluate and apply HRSA 340B ceiling price considerations and exclusions as applicable to Medicaid reimbursement models. </li><li>Ensure pricing methodologies align with state specific Medicaid reimbursement rules and contractual requirements. </li><li>Accountable to cross-walk FDB to Medispan or visa versa to ensure compliance with State Medicaid Prescription Drug List and ensure ongoing reconciliation and updates.</li><li>Support compliance with federal and state audit, reporting, and transparency expectations related to Medicaid drug pricing.</li><li>Maintain and manage industry pricing and reference sources, including but not limited to Medi Span multisource and product codes (e.g., MONY indicators), NADAC pricing files, and HRSA 340B ceiling price date.</li><li>Validate integrity, completeness, and timeliness of reference data used in pricing and modeling and resolve or escalate discrepancies.</li><li>Assess industry changes that may impact Medicaid pricing assumptions or reimbursement outcomes.</li><li>Maintain, and update financial models supporting Statements of Work (SOWs) for Medicaid fee for service pricing arrangements. </li><li>Perform detailed pricing impact analyses to support SOW development, amendments, and renewals. </li><li>Manipulate and analyze large data sets specific to SOW requirements, pricing guarantees, and reimbursement terms. </li><li>Partner with internal stakeholders to ensure SOW pricing assumptions are accurate, documented, and supportable.</li><li>Other duties as assigned. </li></ul>Qualifications What our team expects from you? <ul><li>Bachelor&#x2019;s degree in Finance, Economics, Healthcare Administration, Data Analytics, or related field, or equivalent work experience, required.</li><li>3+ years of experience in PBM, Medicaid pharmacy programs, managed care, healthcare analytics, or pricing analysis required.</li><li>Experience preparing documentation, reporting, and analysis to support internal reviews, regulatory inquiries, audits, and client requests required.</li><li>Experience supporting Medicaid fee&#x2011;for&#x2011;service drug pricing methodologies in alignment with federal and state Medicaid requirements preferred.</li><li>Experience working with industry pricing and reference sources, including Medi Span multisource and product codes (e.g., MONY indicators), NADAC pricing files, and HRSA 340B ceiling price data preferred.</li><li>Experience conducting pricing impact analyses and maintaining financial models to support Medicaid Statements of Work (SOWs), amendments, and renewals preferred.</li><li>Participate in, adhere to, and support compliance program objectives.</li><li>The ability to consistently interact cooperatively and respectfully with other employees. </li></ul>What can you expect from Navitus? <ul><li>Top of the industry benefits for Health, Dental, and Vision insurance</li><li>20 days paid time off</li><li>4 weeks paid parental leave</li><li>9 paid holidays</li><li>401K company match of up to 5% - No vesting requirement</li><li>Adoption Assistance Program</li><li>Flexible Spending Account</li><li> Educational Assistance Plan and Professional Membership assistance </li><li>Referral Bonus Program &#x2013; up to $750! </li></ul> Location : Address Remote Location : Country US

Analyst, Government Pricing

## About the Company Hack The Box is a cybersecurity platform focused on helping cybersecurity professionals and organizations strengthen their cyber-attack readiness. The company provides hands-on cybersecurity training and solutions designed to help organizations better understand and reduce human-related security risks. Hack The Box promotes a supportive, flexible, and autonomous working environment focused on continuous learning, problem-solving, and professional growth. ## About the Role Hack The Box is seeking a Data Analyst to serve as an analytical partner for important client relationships within its Federal Sales team. In this role, you will use data to demonstrate the return on investment of Hack The Box&apos;s cybersecurity training platform. You will analyze complex datasets, evaluate how training impacts human risk, identify behavioral patterns, and translate analytical findings into clear recommendations for executive-level stakeholders. You will collaborate with Federal agency stakeholders, Account Executives, BDRs, Solutions Engineers, Customer Success, Product, and Data Engineering teams to develop data-driven solutions and communicate measurable business outcomes. ### Key Responsibilities * Partner with Federal agency stakeholders to translate compliance and cybersecurity requirements into data-driven success plans.* Transform business requirements from government stakeholders into practical technical data solutions.* Use SQL and Python to analyze large datasets and identify relationships between training engagement and security outcomes.* Develop ROI models that demonstrate the impact of cybersecurity training.* Build interactive dashboards and reports using Looker and Tableau.* Create executive presentations that clearly communicate data insights, ROI, risk, and recommended actions.* Analyze user behavior and simulation logs to identify high-risk cohorts and behavioral trends.* Evaluate engagement signals such as completion velocity, adoption, and drop-off.* Provide clients with tailored recommendations for optimizing training programs and curricula.* Audit training telemetry and reporting data to maintain data quality and integrity.* Use Python and SQL for rapid prototyping of risk models and ad-hoc analysis.* Conduct what-if analysis to support client presentations and strategic decisions.* Participate in Executive Business Reviews and communicate client progress, insights, and recommendations.* Collaborate with Product and Data Engineering to ensure platform telemetry supports evolving reporting requirements. ### Required Qualifications #### Technical Skills * Expert-level SQL skills, including querying complex relational datasets.* Experience with Snowflake is beneficial, particularly in legacy environments.* Strong Python skills for data cleaning, automation, statistical analysis, and analytical prototyping.* Advanced proficiency in Looker or comparable data visualization platforms.* Experience with Tableau.* High proficiency in Excel, including PivotTables, VLOOKUPs, and data modeling.* Experience translating raw data into actionable insights for executive audiences.* Comfort using AI-assisted tools and LLM copilots to accelerate analysis and prototyping. #### Communication and Business Skills * Excellent communication skills with the ability to explain technical data clearly to senior leaders.* Strong presentation and data storytelling abilities.* Ability to create cohesive presentations that communicate not only what the data shows, but what it means for business objectives and risk.* Strong stakeholder management and expectation-setting skills.* Ability to collaborate effectively across multiple departments. ### Preferred Qualifications * Experience with customer success metrics such as churn, adoption, engagement funnels, and learning outcomes.* Experience in EdTech.* Experience in cybersecurity.* Experience supporting government or Federal clients. ### Technology Stack * Looker* Tableau* SQL* BigQuery* Snowflake* Python* Excel* AI-assisted analytical tools and LLM copilots ### Compensation The gross annual compensation range for this position is $95,000&#x2013;$120,000 USD. ### Benefits and Perks * Medical, dental, and vision coverage, with employee coverage fully paid by Hack The Box.* 401(k) with employer match.* Employer-paid life and AD&amp;D insurance.* Supplemental life insurance.* Short-term and long-term disability coverage.* Healthcare and dependent care FSA.* Paid paternity and maternity leave.* 25 annual leave days.* Home office allowance.* Dedicated budget for training and professional development.* Conference participation opportunities.* State-of-the-art equipment. ### Work Arrangement This is a fully remote position available to candidates in the United States, with a preference for candidates located on the East Coast. ## Equal Opportunity Hack The Box is committed to providing equal employment opportunities and fostering an inclusive, supportive, and respectful workplace. Employment decisions are made without regard to race, color, religion, national origin, sex, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by applicable law. Hack The Box supports sex and gender equality and is committed to providing equitable opportunities for qualified individuals to contribute, develop, and succeed.

Data Analyst

Come Join Our Team At Anteriad and innovate the way B2B marketers make data-driven business decisions.About AnteriadWe are not just another B2B solution provider. We&apos;re problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it&apos;s through innovative technology or deep analysis, we&apos;re committed to finding the best path to growth for every one of our customers.Why Join Our Intelligence &amp; Analytics Team?Anteriad is seeking a Marketing Insights Lead (MIL) to join our Intelligence and Analytics team. This is a client-facing seat with real ownership. You&apos;ll be the person turning their hardest marketing questions into clear, defensible recommendations. We are trusted by enterprise clients such as IBM, Microsoft, Lenovo, SHRM and Forbes, and have been recognized on Inc. 5000&#x2019;s Fastest Growing Companies in the US four years running.This is a remote position with required travel to our New York City office and client meetings as needed. Candidates must reside in the East Coast or Midwest regions and will be expected to work Eastern Standard Time (EST) hours. This position is not eligible for employer-visa sponsorship, including OPT. As our Marketing Insights Lead, you&apos;ll run your own analytical work streams end-to-end, sit at the table with senior marketing stakeholders, and have the backing of an experienced team of statisticians and strategists. Your work will encompass the following: <ul><li>Frame the problem. Translate ambiguous business questions (&quot;why is performance down YoY?&quot;) into structured analyses with a clear hypothesis and a clear answer.</li><li>Run the analysis. Pull and shape the data in SQL, build the models or tests, and pressure-test your own work before anyone else sees it.</li><li>Tell the story. Turn statistical output into a narrative that our clients can act on.</li><li>Be a trusted partner. Build relationships with client stakeholders so that when something complex comes up, you&apos;re the first call..</li><li>Curiosity, accountability, and intellectual rigor are essential. You should naturally ask &#x201C;why?&#x201D; and &#x201C;what does this mean for the business?&#x201D;.</li></ul> What You&apos;ll do:<ul><li>Begin your day by scanning what came in overnight: client requests, open questions, flagged deliverables and building your priority list before the first meeting hits. If something urgent surfaced, you&apos;re already on it.</li><li>Spend a midday block building a A/B test read-out, manipulating data in SQL, translating raw outputs into a clean, story-driven deck that a CMO can act on by end of week.</li><li>Jump on a client call in the afternoon where you&apos;re not just presenting findings, you&apos;re fielding follow-up questions in real time, pushing back on assumptions, and shaping what comes next.</li><li>Close out the day triaging two or three active workstreams across different accounts, prioritizing what moves the needle and flagging anything that needs team input before it becomes a fire.</li><li>Some weeks you&apos;re deep in creation of reports and data visualizations (PBI, Domo, Excel); others you&apos;re presenting at an executive meeting for a key client. </li></ul> What You&#x2019;ll Bring: <ul><li>A quantitative degree (statistics, finance, economics, math, engineering, analytics, or similar)</li><li>3&#x2013;5 years of hands-on experience in marketing analytics, growth analytics, or B2B data consulting.</li><li>SQL fluency (complex joins, CTEs, aggregations)</li><li>BI tool proficiency in Power BI, Tableau, Looker, or equivalent</li><li>Client presence. You&apos;re comfortable presenting to senior stakeholders, pushing back diplomatically, and managing competing priorities across multiple accounts.</li><li>Solid grasp of statistical concepts including A/B testing and predictive modeling concepts</li></ul> Anteriad means &#x201C;always moving forward&#x201D; and we apply that to our company culture by tirelessly promoting an environment that allows our employees to thrive:<ul><li>Flexible PTO</li><li>Training &amp; development with unlimited access Percipio LMS</li><li>Community outreach via Anteriad Cares - Encouraging staff to take time to volunteer</li><li>Professional mentoring program - Career guidance from leadership</li><li>Employee Resource Groups - Collaborate with others that share your passions!</li><li>Great benefits for you and your family</li><li>Certified Great Place to Work for the 4 consecutive years.</li></ul> Benefits We Bring To You:<ul><li>Comprehensive medical (choice of 3 plans), dental and vision coverage</li><li>Company paid short-term disability, long term disability and life insurance</li><li>Optional supplemental life, accident and critical illness insurance plans</li><li>401K with company match</li><li>Flexible PTO and generous paid holiday schedule</li><li>Fully paid primary caregiver leave (12 weeks) &amp; parental bonding leave (2 weeks)</li></ul> Our Values:<ul><li>Lead &amp; Learn We lead with unrivaled vision, innovation and execution, always learning and embracing new ways of doing things to stay out in front</li><li>Collaborate &amp; Celebrate We build great things when we work together as one Anteriad team, celebrating our achievements &#x2013; both great and small &#x2013; along the way</li><li>Innovate &amp; Inspire We are always looking for bold new ways to exceed the expectations of our customers and to inspire each other to even greater success</li><li>Do More &amp; Do Good We go above and beyond in the service of our clients and colleagues, and the communities where we live</li></ul> Notice to California Applicants: We collect and process personal information as described in our California Applicant Privacy Notice, in compliance with the California Consumer Privacy Act (CCPA/CPRA). Please review the notice here: Anteriad Privacy Policy

Lead Marketing Data Analyst

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers&#x2014;ranging from the world&#x2019;s top investment funds to Fortune 500 companies&#x2014;depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture&#x2014;recognized by Inc. as a Best Workplace for three consecutive years&#x2014;emphasizes transparency, ownership, and continuous mastery. What It&#x2019;s Like to Work at YipitData: YipitData isn&#x2019;t a place for coasting&#x2014;it&#x2019;s a launchpad for ambitious, impact-driven professionals. From day one, you&#x2019;ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. What It&apos;s Like To Work Here <ul><li>Ownership is real, not aspirational. An analyst here can own a data product end-to-end &#x2014; from methodology to client delivery &#x2014; and present directly to the investors who depend on it. You won&apos;t spend months waiting for &quot;meaningful work.&quot;</li><li>Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you&apos;re ready. We promote based on what you&apos;ve done, not how long you&apos;ve been here. </li><li>AI is a core working tool, not a side project. We&apos;re actively rebuilding how analytical work gets done &#x2014; using AI agents, automation, and new tooling to fundamentally change what&apos;s possible. If you&apos;re excited about that, you&apos;ll thrive here. </li></ul>If your ambition is matched by your work ethic&#x2014;and you&apos;re hungry for a place where growth, impact, and ownership are the norm&#x2014;YipitData might be the opportunity you&#x2019;ve been waiting for. About The Role: You&apos;ll be joining the data feeds part of our organization, focusing on Kepler, a tractions feed that tracks over $45 billion in US consumer transactions across 600+ merchants and 200+ tickers. Our data feeds help the world&apos;s top investors understand company performance, market trends, and competitive dynamics. Kepler serves both fundamental investors, who use our data to inform research and investment theses, and systematic funds, who integrate our feeds directly into quantitative models and trading strategies. This dual audience, along with daily feed delivery on a very short lag, means the bar for accuracy, consistency, and reliability is exceptionally high. As a Data Analyst for Kepler, you&apos;ll ramp quickly and build deep expertise in our third-party and proprietary datasets and methodologies. Working closely with customers, Product, Data Science, and Engineering, you&apos;ll take full ownership of the Kepler data &#x2014; ensuring accuracy, improving methodologies, implementing QA frameworks, and prototyping enhancements that engineering will turn into robust, reliable data pipelines. This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You&apos;ll work cross-functionally with teams across the organization to deliver best-in-class outputs. You&apos;ll also be expected to bring ideas, not just execute on others&#x2019;. This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As a Feeds Data Analyst, you will: <ul><li>Own Kepler data content end-to-end &#x2014; driving product success by delivering best-in-class outputs with a focus on accuracy, and continuously increasing client value. </li><li>Work with massive amounts of data and develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights. </li><li>Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking &#x2014; even when information is incomplete or ambiguous. </li><li>Use AI and tooling to drive meaningful leverage &#x2014; increasing speed, reducing manual work, and automating portions of workflows. You&apos;ll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs. </li><li>Use AI to drive client-value &#x2014; you will write prompts and run automated evaluation processes to ensure our client-facing Kepler Insight Agent is accurate and able to answer the questions our customers are asking. </li><li>Collaborate cross-functionally with Research, Engineering, and other teams &#x2014; coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes. </li></ul>Help our customers understand the data by handling high-complexity questions about anomalies and trends in the data that our first line of support can&#x2019;t handle. You Are Likely To Succeed If: <ul><li>You have 4-6+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology &#x2014; or another environment where you worked with complex data to drive high-stakes decisions</li><li>You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows</li><li>You have a proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works</li><li>You have led complex, ambiguous projects with multiple stakeholders &#x2014; scoping the approach, driving alignment, and delivering outcomes &#x2014; with a strong bias toward action and ownership</li><li>You can clearly communicate complex concepts &#x2014; including methodology, risks, and tradeoffs &#x2014; and influence cross-functional partners to move decisions forward</li><li>You actively use AI tools and are excited about using AI to drive leverage &#x2014; not just productivity, but fundamentally better and faster ways of working </li></ul>What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: <ul><li>We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!</li><li>Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!</li><li>The annual base compensation for this position is anticipated to be $165K-$185K. The final offer may be determined by a number of factors, including, but not limited to, the applicant&apos;s experience, knowledge, skills, abilities, as well as internal team benchmarks. </li><li>The total compensation package includes a mix of base, bonus, equity, and benefits </li></ul>This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice

Data Analyst II

Hi Tittle: Digital Analytics (Adobe Analytics)Location: RemoteVisa: USC Level: ManagerIndustry Experience: Insurance (P&amp;C preferred)Role SummaryWe are seeking a hands-on Manager-level Digital Analytics professional with experience in Adobe Analytics (or similar platforms such as GA4, Amplitude, or Contentsquare) and strong SQL/Python capabilities to support clickstream and customer journey analytics initiatives. This individual will analyze digital customer behavior, integrate clickstream data with policy, customer, claims, and demographic datasets, and generate actionable insights that improve customer experience and business outcomes.Key Responsibilities&#x2022; Perform hands-on analysis of web and mobile clickstream data using Adobe Analytics.&#x2022; Build and maintain dashboards, reports, and visualizations in Adobe Analysis Workspace.&#x2022; Conduct funnel, fallout, flow, attribution, and customer journey analyses to identify conversion opportunities and customer friction points.&#x2022; Develop segments, calculated metrics, and behavioral KPIs to support business decision-making.&#x2022; Use SQL and Python to extract, transform, analyze, and validate large-scale digital behavioral datasets.&#x2022; Combine clickstream data with policy, claims, customer, demographic, and other enterprise data domains to generate richer customer insights.&#x2022; Analyze customer behavior across digital journeys including quote, purchase, servicing, claims, and account management experiences.&#x2022; Partner with business stakeholders, product teams, UX teams, and data engineers to define measurement frameworks and answer key business questions.&#x2022; Identify trends, patterns, and opportunities to improve customer experience, engagement, conversion, and digital adoption.&#x2022; Translate analytical findings into actionable recommendations and present insights to business and leadership stakeholders.Required Qualifications&#x2022; 5+ years of experience in Digital Analytics, Web Analytics, Clickstream Analytics, or Customer Journey Analytics.&#x2022; Strong hands-on experience with Adobe Analytics and Analysis Workspace.&#x2022; Strong SQL skills for querying, transforming, and analyzing large datasets.&#x2022; Python experience for data analysis, forecasting, statistical modeling, or advanced analytics.&#x2022; Deep understanding of:&#x2022; Clickstream data structures&#x2022; Dimensions, metrics, and calculated metrics&#x2022; Segmentation and audience analysis&#x2022; Visitor, visit, and hit-level analysis&#x2022; Funnel and journey analytics&#x2022; Attribution methodologies&#x2022; Experience integrating digital analytics data with enterprise data sources such as policy, claims, customer, marketing, and demographic datasets.&#x2022; Experience working with large-scale behavioral and transactional data.&#x2022; Strong analytical, problem-solving, and communication skills.Preferred Qualifications&#x2022; Insurance industry experience, preferably P&amp;C.&#x2022; Experience with Snowflake or other cloud data platforms.&#x2022; Experience with digital marketing, personalization, customer experience, or conversion optimization analytics.&#x2022; Familiarity with forecasting, propensity modeling, or advanced statistical analysis.&#x2022; Adobe Analytics certification is a plus.Ideal CandidateA hands-on digital analytics professional who combines deep Adobe Analytics expertise with strong SQL/Python skills and can connect clickstream behavior to policy, claims, customer, and demographic data to deliver actionable insights, optimize customer journeys, and support data-driven decision making.

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