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Schonfeld

<div>
 
 The Role
 
 
 
 We are seeking a highly qualified Data Analyst to join our Business Analytics team. The Business Analytics team at Schonfeld focuses on the discovery, interpretation, and communication of meaningful patterns in data to drive better decision making and problem solving. As a Data Analyst, you will play a key role in maintaining the infrastructure needed to drive this decision making by improving data quality, streamlining manual processes, building reports, proposing analytics, and supporting our reporting infrastructure.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Assist in developing the infrastructure and processes to support daily, weekly, and monthly reporting to stakeholders across the fund.
 </li>
 <li>
 Collaborate with teams across the firm to further enhance data used for reporting by the team.
 </li>
 <li>
 Perform ad-hoc deep-dive analyses to explain data anomalies, reconcile upstream feeds, and suggest durable fixes.
 </li>
 <li>
 Create data-quality monitoring and alerting (anomaly detection, row/column-level tests) and document lineage/runbooks for the team.
 </li>
 <li>
 Produce and validate systematic daily, weekly, and monthly reports used by stakeholders across the fund for vital decision making.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 What you need:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, Mathematics, or related quantitative field.
 </li>
 <li>
 1-3 years of relevant work experience.
 </li>
 <li>
 Strong programming skills in Python and SQL.
 </li>
 <li>
 Proven track-record designing, scheduling, and monitoring ETL pipelines
 </li>
 <li>
 Interest or experience in capital markets or finance.
 </li>
 <li>
 Strong analytical thinking, attention to detail, and clear communication skills.
 </li>
 <li>
 Interest or experience designing data visualizations and reports through code or dashboarding software.
 </li>
 <li>
 Experience with Linux operating systems, Git, and cloud computing platforms.
 
 
 </li>
 </ul>
 
 We&rsquo;d Love If You Had
 
 
 
 <ul>
 <li>
 Familiarity with DBT, Github Actions, or KDB.
 </li>
 <li>
 Experience developing and utilizing AI tools.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro &amp; Fixed Income.
 
 
 
 Our Culture
 
 
 
 At Schonfeld, we&rsquo;ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas&mdash;at all levels&mdash;to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm&rsquo;s walls.
 
 
 The base pay for this role is expected to be between 135,000 and 165,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
 
 
</div>

Data Analyst

Vevo

<div>
 Vevo is the world's leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.
 
 
 Vevo has consistently evolved over the past decade to lead within today's ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 25B views across television, desktop and mobile devices each month, Vevo brings music videos to the world &ndash; when, where, and how fans want them.
 
 
 Vevo is seeking a Data Analyst to join our Data Department, supporting multiple internal departments by transforming revenue data into actionable insights that drive informed business decisions. This Data Analyst will sit within the Data Analytics team at Vevo, responsible for analytics projects with stakeholders across the company, including content &amp; programming, ad sales, and business development.
 
 
 The ideal candidate will have the ability to automate reporting, build scalable dashboards in Looker, and deliver clear analyses that translate complex data into insights for both technical and non-technical stakeholders . In this role, the analyst will integrate various sources of data together and identify key findings to better the business. This is a great opportunity for motivated individuals with a strong analytical mindset and interest in working with large-scale distribution data that drives performance across platforms.
 
 
 
 As a member of the team, you will
 
 
 
 <ul>
 <li>
 Develop deep analyses answering complex business questions using SQL, Looker, Python, and other tools
 </li>
 <li>
 Develop and maintain Looker dashboards and recurring reports for our partners.
 </li>
 <li>
 Create concise data points, trends and measurement strategies to a broad audience of both technical and non-technical teams.
 </li>
 <li>
 Collaborate with business teams to develop reporting and assist in ad hoc requests
 </li>
 <li>
 Build robust data visualizations and interactive dashboards that are capable of delivering information in an intelligent and digestible manner
 </li>
 <li>
 Bring forward insights, results, and suggest optimizations to improve said results
 </li>
 <li>
 Assist in developing workflows for data aggregation, and harmonization from multiple endpoints into one single system.
 </li>
 <li>
 Establish QA protocols to ensure accuracy, completeness, or inconsistencies within various data sources.
 
 
 </li>
 </ul>
 
 This Describes You
 
 
 
 <ul>
 <li>
 An analytical mindset with the ability to communicate findings to others.
 </li>
 <li>
 A strong team player, willing to roll up your sleeves and collaborate with others.
 </li>
 <li>
 An independent worker with strong time management and organization skills.
 </li>
 <li>
 A problem solver with the ability to develop creative solutions.
 </li>
 <li>
 Nimble and flexible with ability to succeed in a fast-paced environment.
 </li>
 <li>
 Detail oriented with a commitment to follow through.
 
 
 </li>
 </ul>
 
 Preferred Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong analytical skills are required, including the ability to analyze raw data, identify trend drivers, draw conclusions, and summarize actionable recommendations and their forecasted outcomes/implications
 </li>
 <li>
 Experience with Looker or other data visualization/dashboarding tools is a plus
 </li>
 <li>
 Expertise in Microsoft Excel and Google Slides or PowerPoint
 </li>
 <li>
 Knowledge of data structuring. SQL and Python preferred as well as an understanding and past experience with Redshift or other data warehousings solutions
 </li>
 <li>
 Strong organizational skills, with the ability to aggregate information and data from multiple sources
 </li>
 <li>
 Excellent verbal and written communication skills, with ability to convey and package technical findings in layman&rsquo;s terms
 </li>
 <li>
 2-3 years relevant experience preferred
 
 
 </li>
 </ul>
 
 Interested? Great! You might like to know:
 
 
 
 <ul>
 <li>
 We're a fun, energetic, and tight knit team
 </li>
 <li>
 We really enjoy music and technology
 </li>
 <li>
 We have excellent compensation and benefits packages
 </li>
 <li>
 We have premier access to music content and new releases of original media content
 </li>
 <li>
 We love to give away concert tickets to live music - not to mention live Vevo-produced musical performances
 </li>
 <li>
 We offer a 401k match
 
 
 </li>
 </ul>
 $70,000 - $80,000 a year
 
 
 The pay range for this position is: $70,000 - $80,000 per year. Please note that the
 
 
 foregoing compensation information is a good-faith assessment associated with this
 
 
 position only and is provided pursuant to the New York City Salary Transparency Law.
 
 
 This is a full-time position based on-site/in our New York office. Vevo currently operates
 
 
 in a hybrid work model and requires all employees, who have not been designated as
 
 
 remote to be in the office/studio a minimum of 3 days a week.
 
 
 Vevo considers applicants for all positions without regard to race, color, creed, religion,
 
 
 national origin or ancestry, sex, age, disability, genetic information, veteran status, or
 
 
 any other legally protected status under local, state, or federal law.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

SSi People

<div>
 
 Job Title: Data Analyst
 
 
 
 
 Location: New York, New York (Onsite)
 
 
 
 
 Job Summary:
 
 We are seeking a skilled professional to support our team in transforming data into meaningful insights using advanced visualization and analysis tools. Our team values a data-driven approach, leveraging expertise in Tableau and Excel to deliver impactful results to the organization.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage Tableau for advanced data visualization and reporting to support business objectives.
 </li>
 <li>
 Conduct complex data analysis and interpret large volumes of data to identify trends and actionable insights.
 </li>
 <li>
 Utilize Microsoft Excel at an advanced level to manipulate, manage, and present quantitative data sets.
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements and deliver findings in a clear and effective manner.
 
 
 </li>
 </ul>
 
 Experience/Minimum Requirements
 
 
 
 <ul>
 <li>
 Demonstrated advanced experience with Tableau (6&ndash;9 years).
 </li>
 <li>
 Proficiency in advanced data analysis, working independently and as part of a team.
 </li>
 <li>
 Strong command of Microsoft Excel, including advanced formulas and data functions (6&ndash;9 years).
 </li>
 <li>
 Ability to communicate complex data findings to diverse audiences effectively.
 
 
 </li>
 </ul>
 
 About SSI People:
 
 With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
 
 
 
 By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy
 
</div>

FanDuel

<div>
 
 THE POSITION
 
 
 
 Our roster has an opening with your name on it
 
 
 FanDuel is looking for a Data Analyst to support Sportsbook Product &amp; Personalization. In this role you will work closely with Sportsbook Product leaders and Data Science teams to deliver insights, reporting and analysis focused on our Sportsbook product and UX. This role sits within a team focused on Feature Engineering and leveraging data and customer insights to power segmentations and predictive models, and this role will support those aims.
 
 
 This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.
 
 
 In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
 
 
 
 THE GAME PLAN
 
 
 
 Everyone on our team has a part to play
 
 
 <ul>
 <li>
 Deliver clear, high-quality analysis and reporting to support personalization objectives of Sportsbook Product teams
 </li>
 <li>
 Analyze customer behaviors and preferences to surface opportunities to drive positive revenue or CX impacting opportunities
 </li>
 <li>
 Develop and maintain domain expertise on our Sportsbook product and competitive landscape to inform decision-making and identify new opportunities
 </li>
 <li>
 Build and maintain strong working relationships with key stakeholders across Sportsbook Product, Data Science and Analyst teams
 </li>
 <li>
 Build and maintain dashboards with key insights required by stakeholders
 </li>
 <li>
 Through idea generation and exploratory analysis, develop new and innovative ways to turn customer behaviors and preferences into features for use in analysis, segmentation and predictive modeling
 </li>
 <li>
 Support analytics engineering goals to design, build, maintain, and improve data models, datasets, customer metrics, analytics and data visualizations
 </li>
 <li>
 Take responsibility to learn the necessary skills and techniques, in order to work with independence, integrity and accuracy
 
 
 
 </li>
 </ul>
 
 THE STATS
 
 
 
 What we're looking for in our next teammate
 
 
 <ul>
 <li>
 Minimum 3 years of experience in a similar role
 </li>
 <li>
 Advanced SQL coding and experience of manipulating large datasets
 </li>
 <li>
 Strong verbal and written communication skills, and the ability to simplify and summarize complex data &amp; analysis to senior stakeholders
 </li>
 <li>
 Proficient in at least one programming language (e.g. Python, R, C# etc.)
 </li>
 <li>
 Strong problem solving ability and attention to detail are important
 </li>
 <li>
 Experience using Python and Databricks an advantage
 </li>
 <li>
 Experience working with data visualization tools like Tableau an advantage
 </li>
 <li>
 Undergraduate degree in a coding heavy or technical discipline
 </li>
 <li>
 Interest in Sports an advantage
 
 
 
 </li>
 </ul>
 
 About Fanduel
 
 
 
 FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 
 
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
 
 
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 
 
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 
 
 
 Player Benefits
 
 
 
 We treat our team right
 
 
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here:
 
 FanDuel Total Rewards
 
 . *Benefits differ across location, role, and level.
 
 
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 
 
 FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
 
 
 
 
 The applicable salary range for this position is $94,000 - $117,500USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
 
 
 
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 
 
</div>

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Regular</li>
<li>End Date if Temporary:</li>
<li>Hours Per Week: 35</li>
<li>Standard Work Schedule:</li>
<li>Building: ARB</li>
<li>Salary Range: 66,300.00-66,300.00</li>
</ul><div>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</div> 
<div></div>

Position Summary

The Department of Epidemiology in the Mailman School of Public Health seeks an experienced quantitative Data Analyst to provide data management and conduct analysis of several ongoing projects, including social determinants, cognitive and mental health outcomes, nutrition epidemiology, and population genetic and epigenetic epidemiologic research. Ongoing projects include environmental contributors to youth mental health, as well as pediatric malignancy.

The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the candidate has experience working with SQL and MS Access that is ideal. Familiarity with GIS is also a plus. The candidate must be comfortable working in Spanish. The candidate will be involved in processing and curating nutrient and diet output data from NDSR, as well as data from the NIH toolkit, and from several mental health outcome indicators, as well as SNP data and

Experience with working with nutrient level data and social determinant (food security), mental health and cognitive outcomes is essential. S/he will provide assistance with preparation of reports and papers for publication; assistance with developing related grant proposals and research protocols to extend the scope of the project; and other support as required.

Responsibilities

Project management &ndash; 15%

Data analysis &ndash; 80%

Other duties as assigned &ndash; 5%

Minimum Qualifications
<ul>
<li>A Bachelor&rsquo;s degree.
</li>
</ul>Preferred Qualifications

A Master&rsquo;s degree.

Work experience in nutrition and social epidemiology.

Experience with quantitative data management and analysis.

The ability to work with teams of investigators.

Proficiency in, R SPSS and one of more common programming languages.

Excellent written and oral communication skills and be detail oriented.

High-level interpersonal and organizational skills.

Near native Spanish fluency a plus

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.</div>

Odiin.

<div>
 
 You will work with blockchain data, dashboards, and analytics tools to inform strategy and product development.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Collect, process, and analyse on-chain data and transaction history.
 </li>
 <li>
 Build dashboards and visualisations to track blockchain activity and KPIs.
 </li>
 <li>
 Identify trends, anomalies, and patterns in decentralized networks.
 </li>
 <li>
 Collaborate with product, engineering, and research teams to inform decisions.
 </li>
 <li>
 Prepare reports and presentations for stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Experience with blockchain data analytics tools (The Graph, Dune Analytics, Nansen).
 </li>
 <li>
 Strong SQL, Python, or data analysis skills.
 </li>
 <li>
 Knowledge of blockchain concepts, protocols, and tokenomics.
 </li>
 <li>
 Ability to interpret and visualise complex datasets.
 </li>
 <li>
 Strong problem-solving and communication skills.
 </li>
 </ul>
 
 
</div>

Ardoq

<div><h2 class="jobSectionHeader">Marketing Operations Analyst at Ardoq</h2>
Translate Go-To-Market data into actionable growth strategies<h3 class="jobSectionHeader">
The Ardoq Story</h3>
Ardoq is one of Norway&rsquo;s most exciting scale-ups&mdash;a truly global company built out of Oslo. We are a SaaS platform that helps organizations understand, manage, and evolve their complex digital landscape. By providing a dynamic, collaborative &quot;digital twin&quot; of their business, we connect systems, people, and processes to drive better decision-making and accelerate digital transformation.
Today, we help some of the world&rsquo;s most complex organizations (like ExxonMobil and British Telecom) gain clarity in a changing world. We are backed by leading global tech investors, including EQT and One Peak, giving us the stability of a mature company with the speed and soul of a startup.
About the Role
Ardoq is at a pivotal inflection point. As a five-time Gartner Magic Quadrant Leader, we have the data; now we need the insight. We are looking for a Business Analyst to join our Revenue Operations team to serve as the analytical engine behind our $50M to $100M+ growth trajectory.
This is not a &lsquo;reporting&rsquo; role, it is a decision-support role. You won&rsquo;t just build dashboards; you will interrogate our marketing and sales data to tell us why things are happening and where we should invest our next dollar. You will bridge the gap between raw database activity and executive-level strategy.
At Ardoq, we value autonomy and psychological safety. In this role, you won't just follow a script; you will have the influence to shape your domain and the ownership to see your ideas through to execution.<h3 class="jobSectionHeader">
What you&rsquo;ll do</h3>
Your core objectives will focus on the &lsquo;So What?&rsquo; of our performance data:<ul><li><div>
KPI Definition &amp; Stewardship: Standardize and own the logic for key metrics including Pipeline Velocity, CAC by channel, and LTV.</div></li><li><div> 
Variance Analysis: Conduct deep-dives into performance fluctuations; if MQL-to-SQL rates drop or cost-per-acquisition spikes, you identify the root cause.</div></li><li><div> 
Strategic Recommendations: Act as an internal consultant to Marketing leadership, using data to recommend shifts in budget, headcount, or regional focus.</div></li><li><div> 
Predictive Modeling: Build and maintain our marketing growth model to provide an always-on view of future pipeline health and revenue forecasts.</div></li><li> 
Cultural Contribution: Help foster a high-performance culture built on mentorship and collective success.</li></ul><h3 class="jobSectionHeader">
On a typical day, you will</h3><ul><li><div>
Partner with Leadership: Present monthly and quarterly performance reviews to the CRO and Marketing VPs, highlighting wins and areas for course correction.</div></li><li><div> 
Advanced Attribution: Analyze the multi-touch buyer journey to identify which &lsquo;plays&rsquo; and touchpoints are actually driving high-value opportunities.</div></li><li><div> 
Process Optimization: Identify bottlenecks in the lead-to-revenue funnel and design the logic for automated improvements.</div></li><li><div> 
Data Governance: Ensure the integrity of our GTM tech stack (Salesforce, HubSpot, Clari) so that our reporting remains a &lsquo;single source of truth&rsquo;.</div></li><li> 
Market &amp; Intent Analysis: Use signals from tools like 6sense/Demandbase to prioritize high-propensity accounts for the sales team.</li></ul><h3 class="jobSectionHeader">
Who you are</h3>
We are looking for a collaborator who balances deep domain expertise with a humble, &quot;team-first&quot; mindset.<ul><li><div>
The Investigative Analyst: You don&rsquo;t take data at face value; you enjoy digging into the &lsquo;messy middle&rsquo; to find the narrative hidden in the numbers.</div></li><li><div> 
Business-First Mentality: You understand that technical metrics are only valuable if they map to Net New ARR and business growth.</div></li><li><div> 
The Agnostic Architect: You understand the logic of relational databases and how data flows from a digital touchpoint to a closed-won deal, whether you've worked in Salesforce, HubSpot, ERPs, or custom BI tools.</div></li><li><div> 
The Experience: You have 3+ years in a Business Analyst, Revenue Operations, or Management Consulting role, ideally within a high-growth B2B SaaS environment.</div></li><li> 
The Communicator: You can translate complex ideas into clear, actionable plans for stakeholders at all levels.</li></ul><h3 class="jobSectionHeader">
The &quot;Ardoq Way&quot;</h3>
We live by three core values that define how we work and treat each other:<ul><li><div>
Bold: We are &quot;bold with heart.&quot; We take risks, but we do it with empathy.</div></li><li><div> 
Driven: We act like owners. If this company were yours, you&rsquo;d know exactly what to do.</div></li><li> 
Caring: We care enough to be candid. We deliver direct, kind, and constructive feedback to help each other grow.</li></ul><h3 class="jobSectionHeader">
Why Ardoq?</h3>
We believe that high performance is powered by wellbeing. While our goals are global, our culture is quintessentially Nordic. You&rsquo;ll have access to a competitive package that supports performance, wellbeing, and long-term success:<ul><li><div>
Compensation: Base Salary of $125,000 - $135,000 + Employee Stock Options to share in Ardoq&rsquo;s success.</div></li><li><div> 
Time Off: 25 days annual leave offered globally.</div></li><li><div> 
Family Support: Enhanced parental leave available globally to support you and your family.</div></li><li><div> 
Security: Retirement and insurance benefits, including travel, health, disability, and life insurance.</div></li><li><div> 
Growth: Annual learning budget to support your continued professional development.</div></li><li> 
A Hybrid Working Policy: 3 days per week from our New York office.</li></ul> 
How to Apply
Send us your CV - we&rsquo;d love to hear from you!
Our hiring process typically includes 3 - 4 interview stages: Intro screen chat with hiring manager case interview meet with the team. We&rsquo;ll be in touch within 1 week of each step and whether it&rsquo;s a yes or no, you&rsquo;ll get thoughtful feedback.
Final Note
At Ardoq, every teammate has a voice. Whether you love tackling enterprise-scale challenges or improving how companies run, you&rsquo;ll not only belong, you&rsquo;ll impact, grow, and make work meaningful.
#LI-Hybrid</div>

Marketing Operations Analyst

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Marketing Operations Analyst