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analyst, data integrity

analyst, data science

senior data analyst

NYU Langone Health

<div><p>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
<br>
<br>
<i>For more information, go to</i> <i>med.nyu.edu</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b></p><p><br>
We have an exciting opportunity to join our team as a Senior Data Analyst.
<br>
<br>
The laboratory of Aravinda Chakravarti is seeking an experienced bioinformatics programmer to join our genetic analysis team. This position will play a key role in leading analysis of ongoing studies of complex genetic disorders including autism, Hirschsprung disease and cardiovascular disease. Responsibilities will include WGS, WES analysis of a large scale (60k+) autism associated cohort, specialized analysis of WGS from individuals with Hirschsprung disease and down syndrome as well as analysis of functional genomics assays associated with hypertension. This role is well-suited for an individual with a PhD or higher. The ideal candidate will excel at combining independence, leadership and project management with teamwork and professionalism. An interest in contributing to manuscript and grant writing is a plus.</p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>Initiates, interprets, organizes, executes, and coordinates research assignments critical to the project's mission.</li>
<li>Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.</li>
<li>Ensures timely and accurate completion of research projects.</li>
<li>May develop protocols for the collection and quality of research data.</li>
<li>Develops research techniques, software and methodologies.</li>
<li>Identify and resolve technical problems.</li>
<li>Perform other duties as assigned.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications:</b><br>
To qualify you must have a Bachelor's Degree and 3-5 years of experience required.</p>
<p><b>
Preferred Qualifications:</b><br>
PhD</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i>
<br>
<br>
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
<br>
<br>
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
<br>
<br>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.61 - $106,180.2 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Senior Data Analyst

Ventas, Inc.

<div><h1 class="jobSectionHeader"><b>Job Description:
</b></h1><p>Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
</p><p></p><div>The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
</div><p></p><p><b>About the Role
</b></p><p>The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
</p><ul><li>Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
</li><li>Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
</li><li>Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
</li><li>Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
</li><li>Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
</li><li>Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
</li><li>Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
</li><li>Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
</li><li>Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
</li></ul><p></p><p><b>Qualifications
</b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
</li><li>2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
</li><li>Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
</li><li>Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
</li><li><div>Proficiency in SQL and Python required.
</div></li><li>Experience translating ambiguous business questions to analytical problems
</li><li>Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
</li><li>Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
</li></ul><p></p><p><i>The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
</i></p><p></p><p><i>In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
</i></p><p></p><p><i>#LI-MB1
</i></p><p><i>#LI-Hybrid
</i></p><p></p><p>Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
</p><p></p><p>Ventas, Inc. is an Equal Opportunity Employer.
</p><p></p><p>Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.</p></div>

Analyst, Data Science

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

Criteo

<div><h3 class="jobSectionHeader"><b>What You'll Do:</b></h3><p>
As part of the Retail Media Brand Analytics team the analyst will provide support to internal and external stakeholders. For internal stakeholders, this includes campaign troubleshooting, sales collateral development and client support. For external stakeholders, it includes custom insights and reporting, incrementality A/B testing, and troubleshooting. The ideal candidate is someone who can structure and formulate data to answer business questions.</p><p>
You will:</p><ul><li>
Support internal and external stakeholders with advanced analytics, insights, reporting and assist with client meetings, campaign troubleshooting, where required.</li><li>
Develop self-service Tableau reports to help internal and external stakeholders improve their campaign and keyword bidding strategies.</li><li>
Work with an agentic AI system to auto-generate queries to increase efficiency in developing queries to pull custom data.</li><li>
Develop seasonal holiday insights to support sales efforts for key events</li></ul><h3 class="jobSectionHeader"><b>
Who You Are:</b></h3><ul><li>
3-4+ years experience required</li><li>
Ideal educational background and/or certificates needed Math, economics, econometrics, analytics, engineering, computer science, any data and analytics-related background</li><li>
Hands-on experience developing reporting, insights and other analytics to internal or external clients.</li><li>
Strong technical background, but also some business acumen; Experience with AdTech is a plus.</li><li>
Stack SQL, Python, Tableau</li><li>
Knowledge of Tools / Systems Ad tech or marketing analytics experience preferred, but not required</li></ul><p>
We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we&rsquo;d love to see your application!
</p><h3 class="jobSectionHeader"><b>Who We Are:</b></h3><p>
We&rsquo;re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.<br>
<br>
At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.<br>
<br>
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs&mdash;never on non-job-related factors or legally protected characteristics.
</p><h3 class="jobSectionHeader"><b>What We Offer:</b></h3><div><p>
 Ways of working &ndash; Our hybrid model blends home with in-office experiences, making space for both.
 Grow with us &ndash; Learning, mentorship &amp; career development programs.
 Your wellbeing matters &ndash; Health benefits, wellness perks &amp; mental health support.
 A team that cares &ndash; Diverse, inclusive, and globally connected.
 Fair pay &amp; perks &ndash; Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
</p></div><div></div><div><p>Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.</p></div><p>
For employees based in the US, certain roles at Criteo are eligible for additional rewards, including quarterly or annual bonus and restricted stock units. US-based employees receive access to healthcare, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, family forming and wellness benefits, Flexible Work financial support, learning opportunities, and a robust annual leave plan including volunteer time off and summer vacation days.</p><p>
The US base salary pay range for this position per year is:</p>
$115,000 - $140,000</div>

Sr. Data Analyst

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Data &amp; Analytics Federation
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10050103
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div>Bloomberg&rsquo;s Data &amp; Analytics Federation group enables content providers to expose a wide variety of data and analytics to any consumer application, ensuring the highest quality and reducing time to market. At the core of that mission is Calcrt, the single point of entry for the Bloomberg Terminal and Enterprise systems to retrieve any kind of data - serving over 400 billion requests a day.</div><div></div><div><br>
We own CalcrtX, a ground-up redesign that will redefine how data providers integrate with Calcrt. This moonshot project brings a modern, service-oriented architecture to one of Bloomberg&rsquo;s most critical systems, making it easier for data providers to deliver content at massive scale and higher reliability.</div><div></div><div><b><br>
Our team:</b></div>
<div>
We&rsquo;re the backbone of Bloomberg&rsquo;s data infrastructure, connecting applications to every type of content they need. Our work powers everything from market analytics to client dashboards. We design, build, and operate systems that must perform flawlessly at global scale.</div><div></div><div><br>
Our stack includes Modern C++, Python, BAS, Apache Arrow, and microservices-based async frameworks running on Linux.</div><div></div><div><b><br>
We'll trust you to:</b></div>
<ul><li>Shape the architecture and design of CalcrtX from the ground up.</li></ul>
<ul><li>Solve distributed systems problems at multi-billion-request-per-day scale.</li></ul>
<ul><li>Collaborate with dozens of teams across Engineering to redefine how data flows across Bloomberg.</li></ul>
<ul><li>Learn continuously through tech talks, study groups, and internal/external presentations.</li></ul>
<ul><li>Design and implement highly scalable, resilient microservices for CalcrtX.</li></ul>
<ul><li>Partner with data provider and client teams to streamline integration and performance.</li></ul>
<ul><li>Build tooling and frameworks that improve developer experience for hundreds of internal teams.</li></ul>
<ul><li>Ensure operational excellence, reliability, and observability across the new architecture.</li></ul>
<ul><li>Continuously optimize latency, throughput, and resource efficiency.</li></ul><div></div><div><b><br>
You'll need to have:</b></div>
<ul><li>4+ years of experience developing in Modern C++ or Python.</li></ul>
<ul><li>Strong system design and distributed systems fundamentals.</li></ul>
<ul><li>Familiarity with asynchronous frameworks and service-oriented architectures.</li></ul>
<ul><li>A collaborative mindset with excellent communication skills.</li></ul>
<ul><li>A degree in Computer Science, Engineering, Mathematics, or a related field &mdash; or equivalent work experience.</li></ul><div></div><div><b><br>
We'd love to see:</b></div>
<ul><li>Experience with Apache Arrow, BAS, or high-throughput data processing systems.</li></ul>
<ul><li>Knowledge of Linux system programming or performance engineering.</li></ul>
<ul><li>Contributions to large-scale infrastructure or open-source projects.</li></ul>
<ul><li>Passion for improving developer productivity and platform experience.</li></ul></div>
</div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Data & Analytics Federation

Harbor Group International

<div>
 <p>
  <strong>
   Investment Management Analyst
  </strong>
 </p>
 <p>
  <strong>
   Position:
  </strong>
  Investment Management Analyst
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB SUMMARY:
  </strong>
 </p>
 <p>
  HGI is seeking an Analyst to join our Investment Management team. The Analyst will play a pivotal role in analyzing, monitoring, and reporting on all aspects of an investment. The Analyst will perform investment management duties consisting of performance analysis, direct equity and credit investment valuation, investor reporting, investment model review, distributions, waterfall calculations, and other special projects. The team also focuses on communicating the company&rsquo;s products, platform, competitive advantages, business model, and financial results to internal and external audiences, including HGI executives, auditors, and investors. The Analyst will work closely with the firm&rsquo;s senior members and executives. The role is onsite, based in New York City.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Review investment and fund performance, including financial modeling, pro forma cash flow, and analysis of market landscapes.
  </li>
  <li>
   Work with transactions team to evaluate the risk/return and potential fit of new investments.
  </li>
  <li>
   Contribute to quarterly distribution processes by aggregating financial data, analyzing performance, reviewing projections, and performing waterfall calculations.
  </li>
  <li>
   Assist in the valuation processes of investments within the portfolio
  </li>
  <li>
   Assist with the evaluation of new opportunities across property sectors and capital structures.
  </li>
  <li>
   Prepare detailed quarterly asset and fund performance reports, as well as custom investor reporting.
  </li>
  <li>
   Compile portfolio data for marketing materials such as due diligence requests and pitchbooks.
  </li>
  <li>
   Complete special projects and other related responsibilities.
  </li>
  <li>
   Communicate with third parties directly including investors, lenders, and auditors.
  </li>
  <li>
   Coordinate with all verticals of a private equity real estate firm, including Transactions, Asset Management, Accounting and Finance, Legal and Compliance, and Investor Relations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in finance, real estate, or a similar field; or equivalent work experience.
  </li>
  <li>
   At least one year of relevant experience in commercial real estate private equity, private equity, accounting or financial services.
  </li>
  <li>
   Proficient understanding of underwriting, deal structure, waterfalls, and private equity real estate fundamentals.
  </li>
  <li>
   Ability to work independently and collaboratively in a multidisciplinary team.
  </li>
  <li>
   Strong knowledge of Microsoft Excel, Word, PowerPoint and other similar platforms.
  </li>
  <li>
   Excellent attention to detail, analytical skills, and ability to prioritize projects.
  </li>
  <li>
   Exceptional interpersonal &amp; communication skills, both verbal and written.
  </li>
 </ul>
 <p>
  #LI-TB1
 </p>
</div>


Investment Management Analyst

Curinos

<div><div><div><div><p><b>Company Description</b></p><p>
Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market.</p><p><b>
About the Role</b></p><p>
Join a high-visibility Revenue Operations team where your analytical work directly shapes the commercial decisions of senior leadership. As a Business Analyst, you'll own the reporting infrastructure and forecasting models that drive how the business understands its pipeline, performance, and trajectory &mdash; giving you meaningful impact from day one.</p><p>
This role is ideal for someone who thrives at the intersection of data, process, and storytelling: someone who can wrangle complex, large-scale datasets and turn them into clear, actionable insights for the people running the business.</p><p><b>
Key Responsibilities</b></p><ul><li>
Build and maintain weekly sales pipeline reports tracking created, pushed, and stage-distributed opportunities</li><li>
Develop YTD performance summaries by rep, team, and product using structured Excel models</li><li>
Maintain rolling weekly outlook models comparing actuals vs quota across region, segment, and rep</li><li>
Integrate closed/won data with pipeline coverage metrics to produce current-quarter and full-year forecasts</li><li>
Audit and clean raw CRM exports (3,000&ndash;4,000 row datasets) for reporting accuracy</li><li>
Apply and maintain classification flags across large, structured tables; resolve formula errors and data mismatches</li><li>
Produce meeting activity and coverage reports for senior leaders</li><li>
Support weekly pipeline review decks by maintaining the underlying Excel data models</li></ul><p><b>
Required Qualifications</b></p><ul><li>
3&ndash;5 years in a related analytical role</li><li>
Intermediate-to-advanced Excel proficiency (multi-sheet workbooks, VLOOKUP/INDEX-MATCH, IF statements, date functions, structured tables, charts)</li><li>
Familiarity with CRM platforms (Salesforce preferred) and CRM data exports</li><li>
Strong attention to detail and systematic approach to data quality and formula auditing</li><li>
Ability to manage multiple reporting cycles simultaneously (daily, weekly, monthly)</li><li>
Effective written communication for presenting data insights to non-technical stakeholders</li><li>
Bachelor's degree</li></ul><p><b>
Nice to Have</b></p><ul><li>
BI tools experience (Tableau, Power BI)</li><li>
SQL exposure</li><li>
Background in financial services, banking, or insurance</li><li>
Experience supporting C-suite or department-head reporting cadences</li></ul><p></p><p><b><br>
Compensation: </b>Annual base salary of $90,000-$100,000 + bonus</p></div></div></div></div><p></p>

Senior Associate - Business Analyst, Revenue Operations

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