data analyst

SS&C Technologies

<div>
 As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.
 
 
 
 Job Description
 
 
 
 
 Job Title
 
 Data Analyst
 
 
 
 Locations
 
 : Jacksonville, FL, New York, NY, Chicago, IL, Boston, MA | Hybrid
 
 
 
 About The Role
 
 
 
 SS&amp;C Advent delivers financial technology solutions and services to financial services clients in the asset management, wealth management, and alternative investment space around the globe.
 
 
 This role owns end‑to‑end data science projects, applying advanced analytics, machine learning, and statistical modeling to solve complex business problems. The individual translates data into actionable insights, contributes to the analytics roadmap, and helps build scalable data science infrastructure while collaborating closely with stakeholders
 
 
 
 Why Join SS&amp;C
 
 
 
 SS&amp;C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.
 
 
 You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.
 
 
 
 How You Will Make An Impact
 
 
 
 <ul>
 <li>
 Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement)
 </li>
 <li>
 Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models
 </li>
 <li>
 Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems
 </li>
 <li>
 Translate analytic insights into actionable recommendations
 </li>
 <li>
 Contribute to the scientific roadmap
 </li>
 <li>
 Research, learn, and adapt new modeling techniques and procedures to solve complex business problems
 </li>
 <li>
 Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project
 </li>
 <li>
 Produce and maintain technical documents
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years
 </li>
 <li>
 Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.)
 </li>
 <li>
 Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models
 </li>
 <li>
 2+ years of experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.)
 </li>
 <li>
 Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling)
 </li>
 <li>
 Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories
 </li>
 <li>
 Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc.
 </li>
 <li>
 Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent
 
 
 </li>
 </ul>
 
 What Sets You Apart (preferred Qualifications)
 
 
 
 <ul>
 <li>
 Experience in building prescriptive analytics (optimization, randomized test, designing experiments, simulations, finding optimum price, etc.)
 </li>
 <li>
 Experience in building business intelligence automation using platforms such as Snowflake, Salesforce, QuickSight, Tableau, or similar
 </li>
 <li>
 Working knowledge of optimizers (i.e. Gurobi) or solvers (GLPK, LP_Solve)
 </li>
 <li>
 Previous experience integrating multiple applications and data APIs
 </li>
 <li>
 Knowledge of software development life cycle (coding standards, code reviews, source control, build processes, testing, and operations)
 </li>
 <li>
 Familiarity with front-end technologies such as HTML5 and JavaScript
 </li>
 <li>
 Leadership skills and ability to work well with others
 
 
 </li>
 </ul>
 Join SS&amp;C, where innovation meets global opportunities. Click here to apply.
 
 
 
 #CA-MG
 
 
 
 Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
 
 
 SS&amp;C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.
 
 
 Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.
 
 
 New York: The expected base salary for the position is between 90,000 USD to 110,000 USD. Other States expected base salary for the position is between 90,000 USD to 110,000 USD. Illinois: The expected base salary for the position is between 90,000 USD to 110,000 USD. Massachusetts: The expected base salary for the position is between 90,000 USD to 110,000 USD.
 
 
 In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company&rsquo;s discretion.
 
 
 Applications will be accepted on an ongoing basis until the position is filled.
 
 
 SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
 
 
</div>

Data Analyst

Payoneer

<div>
 
 About Payoneer
 
 
 
 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.
 
 
 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.
 
 
 
 Location: NYC
 
 
 Hybrid
 
 
 Full-time
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Data Analyst
 
 to join our
 
 Operations
 
 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.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <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
 
 
 </li>
 </ul>
 
 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.
 
 This position is also eligible for a discretionary year-end bonus.
 
 
 
 
 
 The annual base salary range for this position is: $85,000 - $100,000.
 
 
 
 
 The Payoneer Ways of Working
 
 
 
 
 Act as our customer&rsquo;s partner on the inside
 
 
 
 
 Learning what they need and creating what will help them go further.
 
 
 
 
 Do it. Own it.
 
 
 
 
 Being fearlessly accountable in everything we do.
 
 
 
 
 Continuously improve
 
 
 
 
 Always striving for a higher standard than our last.
 
 
 
 
 Build Each Other Up
 
 
 
 
 Helping each other grow, as professionals and people.
 
 
 
 If this sounds like a business, a community, and a mission you want to be part of, apply today.
 
 
 
 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.
 
 
 
</div>

Ops Data Analyst

VillageCare

<div>Senior Financial Data Analyst - Healthcare
Salary: $87,647.11 - $98, 603.00
Must reside in NY, NJ or CT 
Join VillageCare as a Full-Time Senior Financial Data Analyst in the dynamic healthcare sector and play a pivotal role in shaping the financial strategies that impact our community. This position offers work-from-home flexibility, allowing you to balance your professional responsibilities with your personal life while contributing to meaningful healthcare solutions. Based in New York, NY, you will be part of a dedicated team that values excellence and customer-centricity in its mission to provide outstanding healthcare services. Your analytical expertise will drive decision-making in an energetic and forward-thinking environment.
With a competitive salary range of $87,647.11 to $98,603.00, this opportunity not only offers rewarding challenges but also financial recognition for your skills and contributions. Take the chance to apply and further your career in a company that embraces innovation and integrity.<h3 class="jobSectionHeader">
VILLAGECARE: OUR STORY</h3>
VillageCare is a community-based, not-for-profit organization serving people with chronic care needs, as well as seniors and individuals in need of continuing care and managed care services. Our mission is to promote healing, better health and well-being to the fullest extent possible. Our care is offered through a comprehensive array of community and residential programs, as well as managed care. VillageCare has delivered quality health care services to individuals residing within New York City for over 45 years.<h3 class="jobSectionHeader">
MAKE A DIFFERENCE AS A SENIOR FINANCIAL DATA ANALYST - HEALTHCARE</h3>
As a Senior Financial Data Analyst at VillageCare, you will play a crucial role in developing, documenting, and maintaining reports and analytics that empower leadership with key insights to drive financial success. You will ensure the accuracy and timeliness of routine and ad hoc reports, collaborating closely with both internal and external customers to guarantee successful report roll-ups and high customer satisfaction. Utilizing advanced tools such as SQL, Tableau, and RedShift, you will create customized dashboards for the Finance department, while working with the IT team to automate these reports for efficient metric monitoring. Your responsibilities will also include supporting the monthly close process, conducting claim reserve analysis, and creating member economics reports to aid strategic decision-making.
Additionally, you will lead medical claims reinsurance reporting, support the preparation of provider group financial statements, and ensure compliance with regulatory reporting requirements, all while demonstrating VillageCare's commitment to Service Excellence.<h3 class="jobSectionHeader">
DOES THIS SOUND LIKE YOU?</h3>
To excel as a Senior Financial Data Analyst at VillageCare, you will need a robust skill set and a solid professional background. A minimum of five years of relevant experience, particularly in an actuarial role focused on claims reserves, claims triangles, and IBNR estimation, is essential. Your ability to conduct complex data analyses and develop insightful reports and dashboards in a healthcare environment will be crucial. Proficiency in technical tools such as MS Excel, SQL, Tableau, Access, and Python is required, enabling you to manipulate and present data effectively. Additionally, the capacity to multi-task while maintaining a high level of attention to detail is vital for success in this role.
Strong communication skills, both verbal and written, along with robust presentation capabilities, will enhance collaboration with internal and external stakeholders. A Bachelor's degree in Healthcare, Finance, or a related field is required, or equivalent years of experience, to support your analytical and problem-solving abilities in a fast-paced setting.
Knowledge and skills required for the position are:<ul><li>
Minimum 5 years of relevant professional work experience</li><li>
Experience working in an actuarial function with a focus on building the claims reserve updating claims triangles and IBNR estimation</li><li>
Ability to perform complex data analysis and report/dashboard development in a health care setting</li><li>
Excellent technical skills (MS Excel, SQL, Tableau, Access, Python, etc.)</li><li>
Capacity to multi-task at high detail-oriented level</li><li>
Strong communication skills (verbal, written, presentation, interpersonal)</li><li>
Strong analytical and logical skills paired with strong attention to detail</li><li>
Bachelor's degree in Healthcare, Finance or relevant field or equivalent years of experience required.</li></ul><h3 class="jobSectionHeader">
MAKE YOUR MOVE</h3>
If you think this role will suit your needs, great! Applying is a piece of cake. Good luck - we're excited to meet you!</div>

Senior Financial Data Analyst - Healthcare

Intelliswift - An LTTS Company

<div>
 
 
 Job Title:
 
 Data Analyst &ndash; UX Research Operations
 
 
 
 Location:
 
 New York, NY (Hybrid Role 3 days per week)
 
 
 
 Duration:
 
 12 Months W2 Contract (potential extensions)
 
 
 
 
 
 Years of experience: 5 years
 
 
 
 
 
 We are seeking an experienced Data Analyst to support a large, globally distributed User Experience (UX) Research organization. In this role, you will work closely with UX Researchers, Research Program Managers, and business leaders to turn complex data into actionable insights that improve research operations, efficiency, and decision‑making.
 
 
 
 
 
 The ideal candidate is analytical, consultative, and comfortable operating in ambiguous environments&mdash;someone who enjoys building, storytelling with data, and influencing stakeholders through insights.
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 Analyze and interpret business and operational data to uncover insights that drive process improvement and decision‑making
 </li>
 <li>
 Design, build, and maintain interactive dashboards and reports to support research programs and leadership teams
 </li>
 <li>
 Partner with cross‑functional stakeholders to translate business goals into measurable KPIs and reliable metrics
 </li>
 <li>
 Act as an internal consultant by scoping data requests, synthesizing insights, and recommending solutions
 </li>
 <li>
 Investigate data trends, identify risks or gaps, and propose mitigation strategies
 </li>
 <li>
 Manage multiple concurrent projects, balancing urgency, impact, and stakeholder needs
 </li>
 <li>
 Present analytical findings clearly to both technical and non‑technical audiences
 </li>
 <li>
 Enable self‑service analytics through well‑designed reporting and documentation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 5+ years of experience (or master&rsquo;s degree with 4+ years) in data analytics, consulting, finance, sales operations, HR analytics, or a related field
 </li>
 <li>
 Strong experience writing advanced SQL queries or working with similar programming/query languages
 </li>
 <li>
 Hands‑on experience building dashboards using Tableau and applying data visualization best practices
 </li>
 <li>
 Proven ability to manage projects involving multiple stakeholders and competing priorities
 </li>
 <li>
 Strong communication and data‑storytelling skills
 </li>
 <li>
 Experience working in fast‑paced, ambiguous environments.
 </li>
 </ul>
 
 
 
 
 
 Preferred / Nice‑to‑Have Skills
 
 
 <ul>
 <li>
 Experience with Python, R, or similar scripting languages for data analysis or modeling
 </li>
 <li>
 Familiarity with ETL processes, data pipelines, APIs, and data integration from multiple sources
 </li>
 <li>
 Experience using CRM or business intelligence platforms
 </li>
 <li>
 Knowledge of statistical concepts such as descriptive statistics and statistical significance
 </li>
 <li>
 Experience automating workflows and improving efficiency using modern analytics or AI tools
 </li>
 <li>
 Strong business acumen and ability to influence stakeholders using data.
 </li>
 </ul>
 
 
</div>

Data Analyst – UX Research Operations

YipitData

<div>
 
 About Us:
 
 
 
 YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
 
 
 Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers&mdash;ranging from the world's top investment funds to Fortune 500 companies&mdash;depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
 
 
 We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture&mdash;recognized by
 
 Inc.
 
 as a Best Workplace for three consecutive years&mdash;emphasizes transparency, ownership, and continuous mastery.
 
 
 
 What It's Like to Work at YipitData:
 
 
 
 YipitData isn't a place for coasting&mdash;it's a launchpad for ambitious, impact-driven professionals.
 
 
 From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
 
 
 Why Top Talent Chooses YipitData:
 
 
 <ul>
 <li>
 
 Ownership That Matters
 
 : You'll lead high-impact projects with real business outcomes
 </li>
 <li>
 
 Rapid Growth
 
 : We compress years of learning into months
 </li>
 <li>
 
 Merit Over Titles
 
 : Trust and responsibility are earned through execution, not tenure
 </li>
 <li>
 
 Velocity with Purpose:
 
 We move fast, support each other, and aim high&mdash;always with purpose and intention
 
 
 </li>
 </ul>
 If your ambition is matched by your work ethic&mdash;and you're hungry for a place where growth, impact, and ownership are the norm&mdash;YipitData might be the opportunity you've been waiting for.
 
 
 
 YipitData Signals:
 
 
 
 YipitData Signals is the platform we're building to help private investors see how any private company is performing, leveraging numerous proprietary spend datasets with more data on the way. We launched coverage late last year with data on 250k+ AI and Software vendors, and we're quickly scaling both the platform and the org.
 
 
 Signals is a small and scrappy team operating inside a billion-dollar company, which means you get the best of both worlds: startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can see the direct impact of your work, move from idea to execution in days (not quarters), and want to help shape a product's trajectory from the ground floor, this is the place for you.
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious 2026 goals. This is not a role where you'll be a cog in a machine. On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors to improve accuracy. You'll be expected to ramp up fast, take ownership immediately, and operate with a high degree of autonomy. We're looking for someone with 4&ndash;6 years of experience who is eager to deepen their data analysis skill set, get direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment.
 
 
 
 As a Data Product Analyst, you will:
 
 
 
 <ul>
 <li>
 Become a core owner of Signals data products &ndash; you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform
 </li>
 <li>
 Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems
 </li>
 <li>
 Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
 </li>
 <li>
 Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution
 </li>
 <li>
 Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations
 </li>
 <li>
 Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
 </li>
 <li>
 Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast&mdash;whether that's adding new data to the platform, improving accuracy, or reducing data lag times
 </li>
 <li>
 Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
 </li>
 <li>
 Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible
 
 
 </li>
 </ul>
 
 You Are Likely To Succeed If:
 
 
 
 <ul>
 <li>
 You have 4&ndash;6 years of experience in data analytics, data operations, consulting, or a related field
 </li>
 <li>
 You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you're familiar with GitHub and Databricks
 </li>
 <li>
 You have experience using sample or panel data to make precise estimates that guide decision-making
 </li>
 <li>
 You are scrappy and resourceful&mdash;you figure things out without waiting to be told what to do
 </li>
 <li>
 You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
 </li>
 <li>
 You have excellent attention to detail and a natural instinct for spotting data anomalies
 </li>
 <li>
 You communicate clearly and concisely&mdash;both in writing and verbally
 </li>
 <li>
 You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
 </li>
 <li>
 You take ownership of problems and drive them to completion without constant oversight&mdash;on a small team, self-direction is essential
 
 
 </li>
 </ul>
 
 What You'll Get:
 
 
 
 
 
 <ul>
 <li>
 An outsized role on a small, high-growth team where your contributions are immediately visible and directly tied to revenue outcomes
 </li>
 <li>
 The chance to help build a product from its early stages inside a well-funded, billion-dollar company
 </li>
 <li>
 Exposure to top-tier PE firms and hedge funds as clients
 </li>
 <li>
 Rapid professional development through breadth of responsibility
 </li>
 <li>
 A team culture that values moving fast and building something great together
 
 
 </li>
 </ul>
 
 Our compensation package includes comprehensive benefits, perks, and a competitive salary:
 
 
 
 <ul>
 <li>
 We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
 </li>
 <li>
 Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
 </li>
 <li>
 
 The annual on-target earnings for this position is anticipated to be up to $170K annually + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
 
 
 
 </li>
 </ul>
 
 This role may be performed fully remotely within the United States.
 
 Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View.
 
 If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
 
 
 
 
 Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
 
 
 
 
 We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
 
 
 
 Job Applicant Privacy Notice
</div>

Data Product Analyst, Signals

Digitas North America

<div>
 
 Company Description
 
 
 
 Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign&rsquo;s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world&rsquo;s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
 
 
 The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
 
 
 
 Overview
 
 
 
 
 Analyst, Data and Analysis
 
 
 
 The Data &amp; Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
 
 
 To help with this, we&rsquo;re looking for an outstanding Analyst &ndash; someone who has a knack for understanding data and telling the story of why it matters. You&rsquo;ll learn from the best in the business as you work with the team to bring actionable insights to our clients. Up for it? Read on.
 
 
 As an Analyst, you&rsquo;ll lay the groundwork and contribute to day-to-day reporting needs for client marketing efforts. You&rsquo;ll work on brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.
 
 
 
 Day-to-day, Your Role Includes
 
 
 
 <ul>
 <li>
 Keeping a pulse on day-to-day performance data, including display media, site, search, email, and/or social campaigns
 </li>
 <li>
 Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
 </li>
 <li>
 Identifying nuances in data to optimize our clients&rsquo; business
 </li>
 <li>
 Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
 </li>
 <li>
 Expanding industry knowledge and relevant skillsets through internal training
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 We&rsquo;re looking for strong, impactful work experience, which typically includes:
 
 
 
 <ul>
 <li>
 1-3 years of work experience in a relevant industry
 </li>
 <li>
 A four-year college degree
 </li>
 <li>
 Passion for digital marketing, eagerness to learn in a constantly-changing space, and a natural curiosity
 </li>
 <li>
 Familiarity with Excel and/or other data analysis tools such as SQL or Tableau a plus
 </li>
 <li>
 Comfortable in a fast-paced and deadline-driven environment
 </li>
 <li>
 Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL&middot;E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.
 
 
 </li>
 </ul>
 Got the sparkle? Apply if you believe your unique skills are a fit. We&rsquo;d love to hear from you!
 
 
 2026-146472
 
 
 
 Additional Information
 
 
 
 Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.
 
 
 If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
 
 
 Compensation Range: $55,765 - $85,878 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/1/2026.
</div>

Analyst, Data and Analysis

Pandora

<div>
 
 Senior Analyst, Business Intelligence, Pandora NAM
 
 
 
 As the largest jewellery brand in the world, we a give a voice to millions of people&rsquo;s loves every day. Our beautiful products empower people all around the world to express themselves. We are proud to be part of their stories and the most important moments in their lives.
 
 
 Where original thinking is welcomed, and can turn into positive impact in a heartbeat, we can dream big, dare to act, and deliver with care and passion. At Pandora where you can each craft far more than just an incredible career.
 
 
 
 About The Team
 
 
 
 As a Senior Analyst on the Business Intelligence team, you will serve as a technical expert and thought leader in analytics tools and applications. Working closely with cross-functional teams, your role is crucial in driving data-driven decision-making and strategic initiatives. You&rsquo;ll play an instrumental part in shaping and implementing innovative solutions, refining best practices, and developing models that are aligned with the ambitious goals of NAM IGNITE 3.0.
 
 
 In this role, you will lead complex data projects from start to finish, defining key business problems, gathering and analyzing data, and presenting actionable insights in a way that influences business strategy. As a key member of the team, you&rsquo;ll collaborate with stakeholders at all levels, ensuring the BI Analytics team delivers impactful, data-backed solutions that fuel the company&rsquo;s growth and success.
 
 
 
 Your Role as
 
 
 Senior Analyst, Business Intelligence
 
 
 
 <ul>
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 Identify opportunities for improving the data pipeline through strategic integration, efficient ELTs (Extract, Load, Transform), and robust data modeling based on evolving business needs in collaboration with Global D&amp;a
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 Perform deep-dive analyses using various statistical methods and analytical techniques to identify trends, patterns, and anomalies in large, complex datasets
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 Generate and consume large datasets and derive actionable insights from them in a weekly cadence
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 Establish and refine an onboarding program for new analytics team members, ensuring a smooth and effective transition into the team and our data ecosystem
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 Responsible for creating internal and external learning opportunities (e.g., workshops, leveraging global partners) to foster continuous development within the analytics team
 
 
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 Craft Your Career With Us If You Have
 
 
 
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 Bachelor&rsquo;s degree in data science, information systems, business analytics, or a related field
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 3-5 years&rsquo; experience in mid-to-senior analyst roles within analytics, business intelligence, data science or similar
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 Solid knowledge in SQL
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 Proficiency with data visualization tools particularly Power BI
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 Experience in a fast-paced environment where priorities change often
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 Track record in delivering insights from large amounts of data
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 Highly analytical, naturally factual and data-based. Capable of working with large amounts of data, without losing sight of the mission at hand
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 Collaborative and relationship builder, take pride in developing others and sharing knowledge
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 Process improvement advocate, obstinated to optimize, mistake-proof and/or automate routines
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 High sense of ownership and commitment to deadlines and agreed results, consistently delivering high-quality work
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 Organized and planful, able to manage multiple projects simultaneously and prioritize effectively in a fast-paced environment.
 
 
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 Technical Skills
 
 
 
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 Data Visualization Tools: Expert-level proficiency with at least one major data visualization tool (e.g., Tableau, Power BI, Looker, Qlik Sense) for building interactive dashboards and reports
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 SQL: Advanced proficiency in SQL for data extraction, manipulation, and analysis from large databases
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 Programming: Proficiency in Python or R preferred
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 Spreadsheets: Advanced Excel skills (e.g., pivot tables, VLOOKUPs, complex formulas)
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 Understanding of Data Warehousing/ELT Concepts: Solid grasp of data warehousing principles, ETL/ELT processes, and dimensional modeling.
 
 
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 Our Benefits
 
 
 
 
 
 
 
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 We Dare! We offer robust compensation package including base and bonus, a 401K plan to help you secure your financial future
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 We Care! Pandora offers extensive benefits including: Medical, Dental, Vision, Short/Long Term Disability, Basic Life and AD&amp;D, anniversary gift cards, recognition program and product discounts!
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 We Dream! Pandora is fostering growth and crafting opportunities to support the business needs which learning and development programs, continuous feedback, LinkedIn learning, tuition reimbursement and more
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 We Deliver! PTO Package including: Vacation, Personal, Sick, Celebration days and Paid Holidays
 
 
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 New York Salary
 
 : $120,000 &ndash; $140,000 commensurate on experience
 
 
 
 
 This position requires the employee to be based in the New York City metropolitan area with a 3 day a week cadence (Tuesday &ndash; Thursday). Relocation assistance is not provided for this role. Additionally, we do not offer employment sponsorship for this level of position
 
 
 
 
 
 About Pandora
 
 
 
 Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 6,800 points of sale, including more than 2,700 concept stores.
 
 
 Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide and crafts its jewellery using only recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 31.7 billion (EUR 4.2 billion) in 2024.
 
 
 Pandora&rsquo;s recruitment procedures are designed to be transparent and clear for all candidates. This helps us ensure that applicants are provided with a fair and equal opportunity to demonstrate their competencies and skills by removing blocking factors, possible biases, and risks of discrimination. We encourage everyone applying to our vacancies to refrain from adding identity-related elements such as a photo, marital status, and age.
 
 
 
 About Pandora NAM
 
 
 
 The Pandora North America team in the USA &amp; Canada consists of more than 115 employees working at our offices in New York &amp; Baltimore, more than 80 in our Logistics Center in Columbia, Maryland, an additional 100 in field positions, and more than 3,900 in our owned and operated stores.
 
 
 Today, the USA is Pandora&rsquo;s single largest market. The Pandora North American region as a whole encompasses over 1,400 points of sale, including over 420 concept stores, with more than 300 being owned and operated by Pandora.
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Senior Analyst, Business Intelligence - Insights

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