data engineer Jobs in New York United States

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data scientist Jobs in New York United States

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financial analyst Jobs in New York United States

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analyst – database and analytics Jobs in New York United States

analyst – database and analytics

analyst, audience measurement Jobs in New York United States

analyst, audience measurement

data analyst

FanDuel

<div>
 <strong>
  THE POSITION
  <br/>
  <br/>
 </strong>
 Our roster has an opening with your name on it
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  THE GAME PLAN
  <br/>
  <br/>
 </strong>
 Everyone on our team has a part to play
 <br/>
 <br/>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE STATS
  <br/>
  <br/>
 </strong>
 What we're looking for in our next teammate
 <br/>
 <br/>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Fanduel
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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).
 <br/>
 <br/>
 <strong>
  Player Benefits
  <br/>
  <br/>
 </strong>
 We treat our team right
 <br/>
 <br/>
 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:
 <strong>
  FanDuel Total Rewards
 </strong>
 . *Benefits differ across location, role, and level.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
</div>


Data Analyst

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><i>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.</i></div><br>
<div></div>
<p></p>
<p>Position Summary</p>
<p>
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.</p>
<p>
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</p>
<p>
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.</p>
<p></p>
<p>Responsibilities</p>
<p>
Project management &ndash; 15%</p>
<p>
Data analysis &ndash; 80%</p>
<p>
Other duties as assigned &ndash; 5%</p>
<p></p>
<p>Minimum Qualifications</p>
<ul>
<li><p>A Bachelor&rsquo;s degree.</p>
</li>
</ul><p></p><p>Preferred Qualifications</p>
<p>
A Master&rsquo;s degree.</p>
<p>
Work experience in nutrition and social epidemiology.</p>
<p>
Experience with quantitative data management and analysis.</p>
<p>
The ability to work with teams of investigators.</p>
<p>
Proficiency in, R SPSS and one of more common programming languages.</p>
<p>
Excellent written and oral communication skills and be detail oriented.</p>
<p>
High-level interpersonal and organizational skills.</p>
<p>
Near native Spanish fluency a plus</p>
<p></p>
<p>Equal Opportunity Employer / Disability / Veteran</p>
<p>
Columbia University is committed to the hiring of qualified local residents.</p></div>

Schonfeld

<div>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 What you need:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We&rsquo;d Love If You Had
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with DBT, Github Actions, or KDB.
  </li>
  <li>
   Experience developing and utilizing AI tools.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Our Culture
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
</div>


Haymarket Media

<div><div><b>Data Analyst</b></div><div><br>
Haymarket Media, Inc. is seeking a <b>Data Analyst</b> to join the <b>Analytics</b> team. This position is located in our <b>New York, NY</b> office, with three days on-site (Tuesdays, Wednesdays, and a team flex day) and two days remote.</div><div><b><br>
Job Overview:</b></div><div>
Reporting to the Senior Director, Analytics, this position will play a key role in implementing data-driven solutions to optimize business strategies, identify trends, and enhance decision-making processes across the Medical Communications group.</div><div><b><br>
Responsibilities:</b></div><ul><li><div>
Collect and interpret data, analyze results, and provide insights to internal stakeholders</div></li><li><div>
Use data visualization tools to provide actionable data for the business</div></li><li><div>
Collaborate with Business Intelligence and Development teams to optimize current processes and assist in the development of automated dashboards to provide improved reporting</div></li><li><div>
Identify, analyze, and interpret trends or patterns in complex data sets</div></li><li><div>
Monitor data quality and proactively identify anomalies or discrepancies</div></li><li><div>
Present analyses clearly to both technical and non-technical audiences</div></li></ul><div><b><br>
Skills and Requirements:</b></div><div><br>
Required Qualifications include:</div><ul><li><div>
1-3 years related experience</div></li><li><div>
Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy</div></li><li><div>
Strong reporting and QA skills with the ability to collect and organize data with attention to detail and accuracy, such as the ability to identify extreme outliers and flag for review</div></li><li><div>
Familiarity with analytics/reporting platforms, including Adobe Analytics and/or Google Analytics</div></li><li><div>
Proficiency with using SQL (joins, aggregations, window functions) and data visualization tools (Looker, PowerBI, etc).</div></li><li><div>
Advanced Excel skills utilizing at least vlookups, sumifs, countifs, pivot tables</div></li><li><div>
Knowledge of Python and/or R</div></li><li><div>
Yearn to ask questions to gain a better understanding of a concept or the data</div></li><li><div>
Ability to think creatively about challenging problems</div></li><li><div>
BS/MS degree in related field (or equivalent training and experience)</div></li></ul><div><br>
Bonus Qualifications include (not required, but are a plus):</div><ul><li><div>
Knowledge of statistics and experience using statistical packages for analyzing datasets</div></li></ul><div><b><br>
What We Offer:</b></div><ul><li><div>
A competitive compensation package</div></li><li><div>
The salary range for this position is $65,000&ndash;$75,000. Compensation will be commensurate with experience, skill level, functional and/or industry knowledge, education level, certifications, as well as other qualifications.</div></li><li><div>
Paid annual vacation, holiday and sick time off</div></li><li><div>
Comprehensive health plans including medical, dental and vision</div></li><li><div>
Competitive 401(k) investment options and generous company matching program</div></li><li><div>
Life insurance</div></li><li><div>
Commuter benefits</div></li><li><div>
Employee referral awards</div></li><li><div>
Tuition reimbursement</div></li><li><div>
Training opportunities through industry-recognized programs</div></li><li><div>
A creative and passionate workplace and a fun, collaborative team environment</div></li><li><div>
Three Week &ldquo;Work from Anywhere&rdquo; benefit, to ensure work life balance</div></li></ul><div><b><br>
About Haymarket:</b></div><div>
Haymarket has its heart and soul in publishing and media. Since the company was founded half a century ago, Haymarket has always prided itself on being a highly creative business, with an unrelenting focus on the quality of the products and the people. The philosophy has always been quite simple: only by having the highest quality individuals can you produce the highest quality products, combining the best in content, design, production and customer services. Globalization is opening up the world further and provides many opportunities for growth. Haymarket has offices around the world and many of the titles are now truly global brands. Haymarket serves a broad spread of business markets, from marketing to medicine to technology along with exhibitions and live events. Predicting the shape of the business in 3, 5, or 10 years is almost impossible; and the unpredictability is part of the appeal. Haymarket aims to be the perfect company to work with or for &ndash; we have the processes and attitude that ensure quality and consistency, and an entrepreneurial spirit that makes every day rewarding. As a Certified B Corporation, we&rsquo;re proud to be part of a community of companies working together for change, and taking part in collective action to advocate for a shared goal of a global economy that benefits people and the planet.</div><div><br>
An equal opportunity employer, Haymarket Media does not discriminate in hiring or terms and conditions of employment because of an individual's race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status, or any other protected category recognized by state, federal, or local laws.</div><div><br>
Beware of fraudulent activity where individuals are contacting job seekers claiming to represent Haymarket Media. Please note that only emails from @<b>haymarketmedia.com</b> are legitimate.</div><div></div><div><br>
When applying for roles with Haymarket Media, you will receive an email directly from a member of the Talent Acquisition team or communication through LinkedIn.</div><div><br>
You can view our open positions on our website US careers section: www.Haymarket.com</div><div><br>
California Applicants may view Haymarket Media, Inc.'s Privacy Statement for California Residents here.</div></div>

SSi People

<div>
 <strong>
  Job Title: Data Analyst
  <br/>
  <br/>
 </strong>
 <strong>
  Location: New York, New York (Onsite)
  <br/>
  <br/>
 </strong>
 <strong>
  Job Summary:
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience/Minimum Requirements
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About SSI People:
 </strong>
 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.
 <br/>
 <br/>
 <em>
  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
 </em>
</div>


Payoneer

<div>
 <strong>
  About Payoneer
  <br/>
  <br/>
 </strong>
 Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world&rsquo;s underserved businesses to a rising global economy. We&rsquo;re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
 <br/>
 <br/>
 By taking the complexity out of the financial workflows&ndash;including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence&ndash;we give businesses the tools they need to work efficiently worldwide and grow with confidence.
 <br/>
 <br/>
 <strong>
  Location: NYC
  <br/>
  <br/>
  Hybrid
  <br/>
  <br/>
  Full-time
  <br/>
  <br/>
 </strong>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 We are seeking a
 <strong>
  Data Analyst
 </strong>
 to join our
 <strong>
  Operations
 </strong>
 team in the Americas region. The ideal candidate will have a background in analytics, proven experience in SQL, and is an expert at building dashboard solutions that provide our business leaders with the data and insights they need to help service our customers with excellence.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide accurate and user-friendly data models, insight, reports, and dashboards
  </li>
  <li>
   Analyze data, track operational performance, alert and analyze abnormal trends
  </li>
  <li>
   Work with different stakeholders in the company, such as Operations, BizDev, Product, Tech and Program Managers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of working experience as a Data Analyst in tech/fintech companies
  </li>
  <li>
   3+ years of experience building dashboards with visualization platforms - Power BI, Tableau, Looker, etc.
  </li>
  <li>
   Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics or another quantitative field
  </li>
  <li>
   Highly experienced with SQL
  </li>
  <li>
   Experience working with Python, with focus on Pandas - advantage!
  </li>
  <li>
   Experience with data modelling, BI/ETL development. - advantage!
  </li>
  <li>
   Experience working in cloud environments (Google Cloud Platform, BigQuery) preferred
  </li>
  <li>
   Experience working with operational KPI Metrics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Discounted medical, dental, and vision insurance (coverage starts on day one) HSA and FSA
  </li>
  <li>
   401K with employer match
  </li>
  <li>
   Employee Stock Purchase Plan (ESPP)
  </li>
  <li>
   Fitness/Wellness reimbursement
  </li>
  <li>
   Generous PTO, paid holidays, and parental leave
  </li>
  <li>
   Learning and development opportunities
  </li>
  <li>
   Flexible work from home schedule
  </li>
  <li>
   Volunteer activities
  </li>
  <li>
   Fun office culture with supportive leadership
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  In accordance with New York City Law, below is the annual base salary range for this position. Actual annual base salary is based on, but not limited to: experience, education, professional licenses, location and business needs. The position is eligible for health insurance, disability insurance, life insurance, 401k plan, paid-time off, and sick (and where applicable safe) leave.
  <strong>
   This position is also eligible for a discretionary year-end bonus.
   <br/>
   <br/>
  </strong>
 </em>
 <em>
  The annual base salary range for this position is: $85,000 - $100,000.
  <br/>
  <br/>
 </em>
 <strong>
  The Payoneer Ways of Working
  <br/>
  <br/>
 </strong>
 <strong>
  Act as our customer&rsquo;s partner on the inside
  <br/>
  <br/>
 </strong>
 <em>
  Learning what they need and creating what will help them go further.
  <br/>
  <br/>
 </em>
 <strong>
  Do it. Own it.
  <br/>
  <br/>
 </strong>
 <em>
  Being fearlessly accountable in everything we do.
  <br/>
  <br/>
 </em>
 <strong>
  Continuously improve
  <br/>
  <br/>
 </strong>
 <em>
  Always striving for a higher standard than our last.
  <br/>
  <br/>
 </em>
 <strong>
  Build Each Other Up
  <br/>
  <br/>
 </strong>
 <em>
  Helping each other grow, as professionals and people.
  <br/>
  <br/>
 </em>
 If this sounds like a business, a community, and a mission you want to be part of, apply today.
 <br/>
 <br/>
 <em>
  We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
  <br/>
  <br/>
 </em>
</div>


Ops Data Analyst

Legora AB

<div><h1 class="jobSectionHeader"><b>About Us</b></h1><p><br>
Legora is on a mission: to redefine how legal work gets done. From the very start we have been very clear about the fact that we are not building a solution for lawyers, we are building it with them, because it is the only way to make sure it gets done the right way; working side-by-side every step of the way.</p><p></p><p>
Our AI-native workspace empowers legal professionals not just to work faster - but to ask better questions, unlock new insights. Every day, we push the boundaries of legal tech to make complex processes smarter, faster, and more human. From thousands of documents analysed in minutes to intelligent workflows designed in collaboration with leading practices, we&rsquo;re turning possibility into reality.</p><p></p><p>
Today we are trusted by global firms like Cleary Gottlieb, Goodwin, Bird &amp; Bird and Linklaters in over 40 countries, but we have no plans on stopping here. We ship fast, we iterate effectively, and we scale rapidly - not by accident, but by design.</p><p></p><p>
When you join Legora, you become part of a team that believes &quot;good enough&quot; isn&rsquo;t good enough and that the way to win is together, by empowering lawyers to do their best work with technology that truly understands them. If you&rsquo;re excited by building from first principles, working with exceptional people, and accelerating change in a high-stakes, high-impact domain&mdash;then this is the moment and the place.</p><p></p><h2 class="jobSectionHeader"><b>
We&rsquo;re not just shaping the future of legal tech &mdash; we&rsquo;re defining it. Ready to join us in building the intelligent future of law?</b></h2><p><b><br>
The role:</b><br>
As a Data Analyst for GTM &amp; Customer Success (CS) you will be the data backbone of our go-to-market, customer success, and legal engineering teams. Your work will help these teams move faster, make smarter decisions, and deliver measurable value to our customers.</p><p>
This is primarily an insights-driven role. You will turn complex usage and commercial data into clear, actionable recommendations, helping our teams drive adoption within customer organisations, identify expansion opportunities, flag churn risk early, and demonstrate the value Legora delivers to the lawyers who use it every day. You will sit within the Data &amp; Analytics team but be deeply embedded in our revenue organisation, working shoulder-to-shoulder with the people closest to customers.</p><p><b><br>
What you will be doing:</b></p><ul><li><p>
Drive adoption and retention: analyse usage patterns across customer accounts to identify where adoption is strong, where it's stalling, and what actions move the needle. Give CS and GTM teams the intelligence they need to intervene at the right moment.</p></li><li><p>
Deliver insights to customers: build customer-facing usage reports and dashboards that help law firms understand the value they're getting from Legora, and support CSMs with ad hoc analyses for strategic customer conversations.</p></li><li><p>
Enable self-service analytics: build and maintain dashboards and reporting systems so that GTM, CS, and legal engineering can answer their own questions without waiting for a data request.</p></li><li><p>
Support commercial decisions: analyse pipeline, expansion, and churn data to help the revenue organisation understand what's working and where to focus.</p></li><li><p>
Partner on experiments and initiatives: work with CS and GTM leads to defining success metrics, measuring the impact of onboarding programmes, campaigns, and product rollouts.</p></li><li><p>
Build reliable data foundations: design and maintain the data models and pipelines that underpin your work, keeping infrastructure lean but scalable.</p></li></ul><p><b><br>
Who you are</b></p><ul><li><p>
Solid experience in a commercial analytics, customer analytics, or data analyst role, ideally in a SaaS or product-led growth environment.</p></li><li><p>
Strong analytical instincts with the ability to take an ambiguous business question and turn it into a crisp, actionable answer.</p></li><li><p>
Proficient in SQL and experienced with modern BI tools; familiarity with Python, dbt, and cloud data warehouses like Snowflake is a plus.</p></li><li><p>
Comfortable working with product usage data, CRM data, and customer health metrics, and knowing how to connect them into a coherent picture.</p></li><li><p>
A natural communicator who can present findings clearly to non-technical audiences, including customers.</p></li><li><p>
Collaborative by default, you enjoy being embedded in commercial teams and understand that your value comes from the decisions your work influences, not just the analyses you produce.</p></li><li><p>
Someone who enjoys being in the office 5 days a week. A key component of Legora&rsquo;s success has been in-person collaboration and we want you to be part of that.</p></li><li><p>
But most importantly, you are someone who</p><ul><li><p>
&ldquo;Gets stuff done&rdquo; and understands building a $10bn company isn&rsquo;t always glamorous and takes hard work and long hours</p></li><li><p>
Strives in a fast-paced environment where the answers aren&rsquo;t always clear and processes are few</p></li></ul></li></ul><p><b><br>
What&rsquo;s in it for you:</b></p><ul><li><p>
Career development opportunities in a rapidly evolving entrepreneurial environment.</p></li><li><p>
Direct collaboration with senior leadership and the opportunity to directly impact company growth and strategy.</p></li><li><p>
A collaborative, high-energy team environment where your ideas and contributions are valued and implemented.</p></li><li><p>
Competitive salary complemented with a transparent and highly competitive options program.</p></li><li><p>
Centrally located office on Broadway, designed as a space for you to do your life's work.</p></li></ul><p><b><br>
Benefits &amp; Perks: </b>We invest in our people with a comprehensive, thoughtfully designed benefits package:<br>
Medical, Dental &amp; Vision</p><ul><li><p>
Multiple medical plan options through Aetna and Kaiser Permanente</p></li><li><p>
HSA or Healthcare FSA (based on plan selection)</p></li><li><p>
Dental plans via MetLife</p></li><li><p>
Vision coverage through VSP Vision Care</p></li></ul><p>
Family Support</p><ul><li><p>
Generous parental leave</p></li><li><p>
Free access to Maven Clinic</p></li><li><p>
Dependent Care FSA</p></li><li><p>
Free One Medical membership for employees and dependents</p></li></ul><p>
Additional Perks</p><ul><li><p>
Pre-tax commuter benefits</p></li><li><p>
Life Insurance + STD/LTD</p></li><li><p>
401(K) with generous company match</p></li><li><p>
Unlimited PTO</p></li><li><p>
Robust voluntary benefits, including identity protection (via Aura), legal coverage through MetLife, pet savings programs, and more</p></li></ul><p><b>
Legora is an Equal Opportunity Employer</b></p><p>
At Legora, we believe great teams are built on diversity of thought and experience. We&rsquo;re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don&rsquo;t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.</p><p>
Compensation Range: $170K - $220K</p></div>

Data Analyst – GTM & Customer Success

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Data Analyst – GTM & Customer Success