Senior Data Analyst at Perchwell | New York

Senior Data Analyst Current is an innovative consumer fintech platform dedicated to reshaping financial access for everyday Americans, boasting over five million members. We deliver integrated financial solutions that cater to our members' needs, empowering all Americans to achieve better financial futures. Located in the heart of New York City, our results-oriented culture drives us to enhance our products, accelerate our growth, and empower every team member to make a substantial impact on our mission to improve financial outcomes. ABOUT THE ROLE We are on the lookout for a talented Senior Data Analyst with prior experience in the FinTech and B2C/DTC sectors. In this pivotal role, you will harness data to influence strategic decisions, enhance business performance, refine customer interactions, and ensure a seamless user experience. Your expertise in advanced analytics will help identify trends, evaluate performance, and provide crucial insights that bolster data-driven decision-making throughout the organization. RESPONSIBILITIES Analyze extensive datasets to uncover trends, insights, and opportunities that propel business growth. Create and sustain dashboards and reports to monitor key performance indicators (KPIs) across various business units. Collaborate with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Employ predictive analytics and machine learning models to enhance business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to refine decision-making and personalization strategies. Deliver actionable insights to leadership regarding business performance, customer behavior, and operational trends. Guarantee data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and foster a data-driven culture within the company.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

The City of New York is hiring a Senior Data Analyst to join the Division of Strategic Operations & Analytics. This role centers on using data to improve how city services operate and to inform important policy decisions. Key responsibilities Collaborate with teams across multiple departments to identify and analyze relevant data sources Extract actionable insights from complex datasets to support strategic planning efforts Build data models designed to measure and enhance operational efficiency Communicate findings and recommendations to stakeholders at different levels of the organization Location This position is based in New York City.

Join xai as a Senior Data Analyst specializing in Fraud and Anti-Money Laundering (AML). In this pivotal role, you will leverage data-driven insights to combat financial crimes, utilizing advanced analytical techniques to identify suspicious activities. Your expertise will contribute to the development of sophisticated models and systems that enhance our fraud detection capabilities.

We are seeking a Senior Data Analyst to join our dynamic team at mindlance2. In this role, you will leverage your analytical skills to extract insights from complex datasets, driving data-informed decisions that support our strategic initiatives. As a Senior Data Analyst, you will be responsible for designing and implementing data analyses, preparing reports, and presenting findings to stakeholders.

Join our dynamic team at Procom Services as a Senior Data Analyst in New York. In this pivotal role, you will leverage your analytical skills to extract meaningful insights from complex datasets, guiding strategic business decisions. You will work collaboratively with cross-functional teams to develop data-driven solutions, ensuring alignment with organizational goals.

Join The New York Times Company as a Senior Analyst in Data & Insights within our Enterprise Analytics team. In this pivotal role, you will leverage data-driven insights to inform strategic decision-making across the organization. Your analytical skills will empower teams to understand complex data landscapes, identify trends, and drive impactful changes.Key responsibilities include conducting rigorous data analysis, developing insightful reports, and collaborating with cross-functional teams to implement data solutions. You will play a critical role in enhancing the organization's data capabilities, ultimately helping us deliver quality journalism and innovative products to our audience.

About Us:At Camber, we are dedicated to revolutionizing healthcare through innovative software solutions that enhance both quality and accessibility. Our mission is to alleviate the burdens of manual processes, allowing clinicians to concentrate on delivering exceptional care. Explore our vision further with this insightful write-up: What is Camber?Backed by $50M in funding from leading investors, including a16z, Craft Ventures, and YCombinator, we are on a mission to transform access to care. For more details, check out our announcement: Announcing CamberOur Culture:At Camber, we believe that our approach to behavioral health reform starts with our internal operations. We aim to redefine not just healthcare but also the dynamics of startup culture. Here are a few tenets we live by:1) Our commitment to enhancing healthcare access and quality is at the forefront of everything we do. Every team member is passionate about supporting both clinicians and patients.2) We embrace humor. The challenges within healthcare can be daunting, and we believe that laughter is essential to navigating them together.Role Overview:As we expand our team, we are seeking a Senior Data Analyst who is passionate about driving positive change, engaged with users to tackle complex problems, and thrives in the dynamic environment of a startup. This role involves collaborating with both technical and non-technical colleagues to investigate intricate business challenges and propose data-driven solutions.Key Responsibilities:Collaborate closely with clinics and internal teams to identify needs and establish reporting requirements in areas like financial performance (billing, collections, revenue) and operational efficiency (authorization, workflow management).Develop and maintain high-quality dashboards and reports that provide actionable insights for clinics and internal stakeholders.Ensure data integrity by upholding accuracy, consistency, and quality across reporting pipelines.Translate business inquiries into clear analytical methodologies and present findings in an engaging manner to diverse audiences.Contribute to the evolution of reporting at Camber by identifying new metrics, enhancing workflows, and fostering scalable analytics practices.

Role Overview The City of New York is hiring a Senior Data Analyst to support data-driven decision-making across departments. This position plays a key part in interpreting complex datasets and delivering insights that inform city initiatives. What You Will Do Analyze large and varied datasets to identify trends and patterns Translate data findings into clear, actionable recommendations Work alongside teams from different city departments to improve data practices Support strategic planning by providing evidence-based insights Help ensure city operations run efficiently and effectively through data analysis Location This position is based in New York, NY.

Join us in leveraging technology to create a significant positive impact on the environment!Kraken spearheads innovative global advancements in energy solutions.As a forward-thinking technology company, we are dedicated to developing a smart and sustainable energy ecosystem. Our initiatives focus on optimizing renewable energy generation, enhancing grid intelligence, and empowering utilities to deliver outstanding customer experiences. Our integrated energy management platform is revolutionizing the industry worldwide for the benefit of all.This is an exciting era for the energy sector. Contribute to shaping a more sustainable and brighter future.About Kraken CustomerWe aim to construct the most innovative, AI-driven platform for energy management. From resource optimization to providing exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-enabled communications, Kraken is leading the next wave of energy industry innovation.Our Mission: The future of energy will differ vastly from what we know today. It's not just about envisioning our future; it's about actively building it now.Who We Seek: We are in search of a talented Data & Analytics Client Delivery Lead to empower clients to fully harness Kraken's data and enhance their data capabilities. Candidates should possess extensive analytics experience within a robust, modern data team (e.g., data analytics, business intelligence, or related fields—roles such as analytics manager, lead data analyst, or data consultant are highly regarded). A passion for client engagement and a commitment to driving the clean energy transition are essential—experience in the energy sector is a plus! The Role: In this role, you will collaborate directly with Kraken clients to foster the development of modern, transformative data and analytics capabilities as part of their overall Kraken transformation. You will train clients on utilizing Kraken data and assist them in constructing critical reporting and insightful analytics, occasionally engaging in hands-on query writing or demonstrating analytics. Your leadership experience in analytics teams will be invaluable in advising senior client data leaders on building a high-performing, business-focused data organization and employing data as a strategic asset to achieve ambitious business and clean energy objectives. We take pride in being a flat and agile organization and intend to maintain this structure...

Join The New York Times as a Senior Analyst in our News Product Analytics team, where your passion for data will help shape world-class journalism. Embedded within our Data and Insights Group, you will collaborate with Product, Engineering, and Design teams to deliver actionable insights that drive our mission of independent journalism. Your analytical skills will be crucial in developing data models, conducting A/B tests, and creating data visualizations that empower decision-making across the organization.

Join The New York Times as a Senior Analyst in Messaging Analytics, where your passion for data and journalism converge. As a key member of our Data and Insights Group (DIG), you'll collaborate with Product, Engineering, and Design teams to transform data into strategic insights that enhance our journalism and engage our readers. Your role will involve writing SQL, Python, and DBT code to analyze extensive datasets, developing robust data models and pipelines, and conducting A/B tests to assess platform improvements. You'll also create compelling data visualizations and dashboards that promote self-service insights, all while upholding our commitment to journalistic integrity and independence.

Role overview haus is seeking a Senior Data Analyst based in New York, San Francisco, or Seattle. This position focuses on using data analysis to guide business strategies and decisions. Collaboration is central, with the analyst partnering across teams to transform complex data into clear, practical recommendations. What you will do Examine data to identify trends that impact the direction of the business Pinpoint opportunities to improve processes using data-driven insights Deliver timely analysis to support decisions across several departments Collaborate with cross-functional teams to make data accessible and useful Locations New York, NY San Francisco, CA Seattle, WA

Senior Data Analyst (NYC)About Rent the RunwayRent the Runway (RTR) is revolutionizing the fashion industry by introducing the world’s first Closet in the Cloud. Established in 2009, RTR has transformed the $2.4 trillion fashion market by providing women with a more joyful, sustainable, and budget-friendly way to express their style. As the leading platform for circular fashion, we offer limitless access to a shared wardrobe through customizable subscriptions, one-time rentals, or ownership options. Our curated collection includes designer clothing and accessories from numerous brand partners, supported by proprietary technology and an unmatched reverse logistics system. Under the visionary leadership of CEO and Co-Founder Jennifer Hyman, RTR has been recognized as a CNBC “Disruptor 50” five times in a decade, featured multiple times on Fast Company’s Most Innovative Companies list, and Hyman has been honored as one of TIME’s 100 most influential people and one of People magazine’s “Women Changing the World.”About the TeamData is at the heart of our expanding business model and is woven into the fabric of our operations since inception. As a member of the Data Analytics team, you will empower stakeholders with data to evaluate performance, derive insights, and foster ongoing enhancements across the organization. The team is tasked with developing and maintaining RTR’s essential data models, defining and analyzing key performance indicators, crafting reports, and facilitating self-service reporting solutions. The Business Intelligence unit plays a crucial role within the RTR Customer organization.About the RoleWe are seeking a Senior Data Analyst to spearhead impactful analytics projects and oversee critical data models that encapsulate our customers and business operations. In this position, you will collaborate cross-functionally with business leaders throughout the organization. You will be responsible for creating insightful reports and data visualizations that allow functional leaders to swiftly interpret information and make informed, data-driven decisions. Together, you will establish key performance indicators (KPIs) and set realistic yet ambitious goals to promote continuous improvement. You will play an integral role in shaping the team's culture, with ample opportunities for professional growth and leadership as we evolve. This senior-level position requires strong analytical judgment, accountability, and the capacity to work autonomously in a dynamic, fast-paced environment.

Join NBCUniversal as a Senior Analyst in Media Analytics & Attribution. In this role, you will play a critical part in analyzing media performance, attribution models, and driving analytical insights that influence strategic decision-making. Your expertise will help optimize media investments and improve overall business outcomes. You will work closely with cross-functional teams to deliver actionable insights and recommendations.

About UsBaton Corporation is an innovative development firm that constructs and manages the comprehensive technology ecosystem behind pump.fun, the foremost memecoin launchpad currently operational. Our systems are built for low latency and high throughput, functioning under continuous load, and require precision to avoid failure.Your RoleIn the capacity of a Senior Data Analyst, you will play a pivotal role in shaping data-driven decision-making across the organization. This position offers significant impact and ownership, emphasizing the enhancement of product and business results through meticulous analysis, robust data architecture, and effective communication.Lead the establishment, monitoring, and communication of key performance indicators (KPIs) across the company to ensure alignment between product and leadership.Collaborate closely with product, engineering, and growth teams to pinpoint opportunities and provide actionable, data-driven insights.Execute in-depth analyses of user behavior, operational metrics, and product performance to reveal trends and guide strategic initiatives.Develop and maintain scalable data models and self-service dashboards that empower teams to confidently answer their questions.Enhance tracking and instrumentation standards by proactively identifying data gaps and promoting best practices in event tracking and measurement.Convert complex analyses into straightforward narratives that affect decision-making at every level of the organization.Support experimentation initiatives by defining metrics, assessing results, and ensuring analytical rigor.Elevate analytical standards, documentation, and reproducibility throughout the organization.

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

About Us Nourish is dedicated to transforming health through improved nutrition. Chronic diseases linked to poor nutrition represent a significant health crisis that often goes unnoticed. Collaborating with Registered Dietitians can provide effective solutions, yet fewer than 1% of eligible Americans actually utilize these benefits. At Nourish, we are developing an AI-driven healthcare system focused on nutrition. Our aim is to enhance health outcomes, reduce expenses, and promote longer, healthier lives. Founded three years ago, we have successfully launched our services across all 50 states, currently supporting thousands of dietitians and hundreds of thousands of patients. We are rapidly expanding, collaborating with national health insurance companies and provider groups, and have secured $115 million in funding from prestigious investors including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, and others. Our angel investors include renowned healthcare entrepreneurs and notable figures such as soccer star Alex Morgan. To learn more about us, click here and read about our recent Series B funding here. About the Role As we scale, data plays a pivotal role in driving growth and enhancing patient outcomes. In the position of Data Analytics Lead, you will oversee all analytics for a key business function, developing our data strategy, tackling complex challenges, and facilitating informed, rapid decision-making across the organization. This position merges analytics engineering with strategic insights: you will create efficient, scalable data models and pipelines while delivering clear, actionable insights that amplify our effectiveness. As a key member of our data team in New York City, you will help shape our long-term data vision and collaborate closely with our Operations, Engineering, Product, and Design teams. Our team operates in a hybrid model, with in-office days 2-3 times a week, welcoming individuals who are eager to engage in our vibrant office culture.