Course Associate in Biodiversity Data Analytics (Online, Fall '26)

Columbia University's School of Professional Studies (SPS) is actively seeking qualified candidates for the role of part-time Adjunct Lecturer to join our esteemed faculty team for the graduate-level Capstone course titled Solving Real World Problems with Analytics. This course serves as the pivotal final experience for students pursuing a Master of Science degree in Applied Analytics, where they will leverage their academic knowledge to tackle real-world challenges through consulting engagements with leading corporate or institutional sponsors. Our Capstone sponsors encompass a diverse array of industries, including finance, healthcare, consumer retail, digital media, and non-profit organizations, ranging from large global corporations to innovative startups and esteemed nonprofits.As an Adjunct Lecturer, you will serve as a primary instructor and an integral part of our faculty community.Key Responsibilities:Attend all scheduled class sessions, held weekly on either Wednesday from 6:10 PM to 8 PM ET, Thursday from 6:10 PM to 8 PM ET, or Thursday from 8:10 PM to 10 PM ET.Act as a mentor and coach to students, facilitating communication between students and corporate project sponsors, and participating in meetings with sponsor companies and student project teams.Address student inquiries and concerns effectively.Hold regular office hours to provide additional support to students.Evaluate and grade student submissions and assessments.

Join our dynamic team at Sonsoft Inc. as a Data Science Analytics Associate! In this exciting role, you will leverage data to derive actionable insights that drive strategic decisions. You will work with cutting-edge analytics tools and collaborate with cross-functional teams to enhance our data-driven initiatives.

Columbia University is seeking experienced analytics professionals to join our faculty as part-time Adjunct Associate Faculty for a graduate-level course titled Analytics for Cybersecurity Management. This role offers a unique opportunity to contribute your subject matter expertise and support the instructional process for aspiring cybersecurity leaders. Engaging in this capacity will provide valuable exposure to the academic environment at Columbia University.This course serves as a comprehensive introduction to foundational cybersecurity principles, including network security, threat detection, and vulnerability management. It emphasizes the transformative impact of emerging technologies such as AI and machine learning on modern defense strategies. Participants will engage with key frameworks and advanced tools through real-world case studies, gaining insights into the role of analytics in effective threat intelligence, incident response, and regulatory compliance.Students will enhance their practical skills through hands-on exercises and interactive assignments, culminating in a project focused on automating vulnerability analysis. They will learn critical tasks such as log parsing, vulnerability classification, dashboard visualization, and AI-driven anomaly detection, while also addressing ethical, legal, and regulatory issues in cybersecurity. By the conclusion of the course, participants will be equipped to design proactive defense measures and adeptly navigate diverse threat landscapes, leveraging AI and analytics to bolster digital security against evolving cyber threats.Key ResponsibilitiesAttend all class sessions, assist with instruction, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Monitor student progress and address any concerns or inquiries in a timely manner.

On-site attendance required 3-4 days a week in our New York, NY office.LG Ad Solutions stands at the forefront of the connected TV (CTV) and cross-screen advertising industry. Our commitment to innovation has established us as a global leader, providing cutting-edge advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:We are in the process of creating a robust Data Analytics and Operations team within our Research department to enhance the ownership of our analytics outputs and ensure the preparedness of our core data assets. This pivotal role is dedicated to validating that our data is accurate, actionable, and transformed into insights that are ready for business and client use.You will thrive in ambiguous environments, establish standards in the absence of guidelines, and be accountable for converting intricate data into dependable, consumable formats. Comfort with exploring unknown territories, tracing problems across systems, and adapting strategies as you progress will be crucial.Key Responsibilities:Engage with extensive and complex datasets to analyze data behavior, quality, and downstream effects.Interpret and document analytics outputs, ensuring adherence to acceptance criteria for effective consumption.Articulate findings, risks, and recommendations clearly to both technical and non-technical stakeholders.Assist in maintaining workflows that bolster analytics delivery, incorporating automation and AI-enhanced tools when applicable.Collaborate closely with engineering, research, and product teams to identify issues and communicate resolutions.Spot gaps in data reliability or usability and take proactive measures to address them.Contribute to establishing an analytics culture that emphasizes ownership, clarity, and impactful results over bureaucratic processes.Automate procedures on a large scale – transitioning manual, repetitive data tasks into efficient, transparent workflows.Prioritize accuracy, clarity, and dependability in outputs.Conduct well-defined analyses and investigations under guidance.Qualifications:Exceptional analytical and problem-solving abilities, with a proficiency in navigating uncertain situations.Minimum of 2 years of experience with SQL or Python, comfortable working with both raw and intermediate datasets.Strong communication skills, capable of conveying complex information to diverse audiences.Experience in data analytics, operations, or a related field is preferred.

Eataly USA, LLC is looking for a Data Analytics Associate to join its corporate team in New York. This role works closely with the Product and Logistics departments, applying data analysis to both daily operations and long-term planning. Key responsibilities Collaborate with teams across the company to collect and analyze data Turn analysis into clear, actionable insights that inform business operations Provide data-backed recommendations to guide decision-making Spot trends and highlight opportunities for growth Work environment The New York corporate office offers a collaborative atmosphere. Team members use analytics to shape decisions and contribute to Eataly’s focus on food, hospitality, and community.

Join Wilshire Advisors as an Analytics Data Associate, where you will play a pivotal role in maintaining and enhancing our analytics systems. This dynamic position will involve uploading data, generating and reviewing detailed reports, and addressing client inquiries with analytical insights. Candidates should possess a foundational understanding of investment, finance, economics, and industry-related topics. We seek self-driven individuals with strong academic credentials and a commitment to professional excellence.Key Responsibilities:Accurately upload data into analytics systems and ensure output consistency.Generate comprehensive reports and validate results for precision.Assist with client inquiries, providing thorough analytical explanations.Maintain risk dashboards to monitor and report risk exposure.Investigate data discrepancies, identifying root causes, and implement corrective measures.Provide support across various aspects of risk management.Effectively communicate findings to both internal teams and external clients.

Columbia University invites accomplished analytics professionals to join as part-time Adjunct Associate Faculty for the graduate-level course on Managing Data. This position offers a unique opportunity to gain firsthand experience in graduate-level teaching while providing critical subject matter expertise. As an Adjunct Associate Faculty member, you will support the instructional process and engage with students in a dynamic learning environment.The Managing Data course equips students with essential skills for effective data management, enabling them to leverage data confidently in collaboration with technology teams. The curriculum addresses the challenges posed by diverse data languages and techniques, offering a comprehensive overview of data technologies, database engines, foundational principles, governance processes, and organizational requirements to ensure data quality.Key ResponsibilitiesAttend all class sessions, assist in instructional activities, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Address student inquiries and concerns promptly and effectively.

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

Columbia University School of Professional Studies is on the lookout for distinguished industry professionals to join our team as adjunct Lecturers. This role involves developing and delivering a variety of impactful courses within the M.S. in Political Analytics program, which uniquely integrates the realms of politics and advanced quantitative methodologies to enhance data-driven decision-making and effective communication in political contexts.For a detailed overview of the program's curriculum, please visit here. Interested candidates are encouraged to indicate their specific areas of expertise in their cover letters, as well as the types of courses they are qualified to teach. Current courses include:Big Data & Political StrategyCampaign Finance & Fundraising AnalyticsData Science for Political AnalyticsElectoral Data & Predictive ModelingThis position may involve course development, leading syllabus approval processes, and direct teaching responsibilities.Key ResponsibilitiesConduct in-person lectures, instructional sessions, and facilitate classroom discussionsAssess student submissions and assign gradesAddress student inquiries and serve as the primary point of contact for questionsMaintain weekly office hours for student supportPrepare, manage, and enhance course materials via Canvas, Columbia University’s learning management systemNew part-time Lecturers at SPS must complete Canvas trainingParticipate in Political Analytics faculty meetingsFor those tasked with designing courses, additional responsibilities include:Establishing course objectives that align with program-wide learning outcomesCreating activity maps that connect course activities to objectives, ensuring relevance to the industryDrafting comprehensive syllabi for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI)Collaborating with Instructional Design to create course materials through a consultative approach, which includes developing dynamic instructional media, maintaining established courses, and providing timely assistance for specific needsThis adjunct Lecturer position offers a unique opportunity to educate and mentor students in the dynamic field of political analytics while fostering valuable professional relationships.

Join Oscar Health as an Associate in Operations Data Analytics, where you'll be at the forefront of transforming data into actionable insights. In this dynamic role, you will collaborate with cross-functional teams to analyze operational metrics and drive continuous improvement initiatives. Your analytical acumen will play a pivotal role in enhancing our business processes, ensuring that we deliver exceptional healthcare services.

3-4 days minimum on-site attendance required in our New York, NY office.At LG Ad Solutions, we are at the forefront of connected TV (CTV) and cross-screen advertising, providing innovative advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:Join our new Data Analytics and Operations team within the Research department as we enhance ownership of analytics outputs and ensure our core data assets are primed for use. This role is pivotal in guaranteeing the reliability and usability of our data, transforming it into impactful insights for our business and clients.In this role, you will tackle complex problem spaces, set standards where they are lacking, and take ownership of converting intricate data into actionable outputs. Your ability to navigate uncertainties, trace issues across systems, and adapt strategies as you gain insights will be essential.Key Responsibilities:Engage with expansive and intricate datasets to analyze data behavior, quality, and downstream effectsUnderstand and adhere to analytics outputs, including acceptance criteria and documentation for consumptionCommunicate findings, risks, and recommendations effectively to technical and non-technical stakeholdersAssist in maintaining workflows that facilitate analytics delivery, leveraging automation and AI tools where applicableCollaborate closely with engineering, research, and product teams to identify issues and communicate resolutionsSpot gaps in data reliability or usability and take proactive steps to address themContribute to building an analytics discipline that prioritizes ownership, clarity, and impact over unnecessary processAutomate processes at scale – Transition manual, repetitive data tasks into efficient, reliable workflowsEnsure the accuracy, clarity, and reliability of all outputsConduct well-defined analyses and investigations under guidanceQualifications:Exceptional analytical and problem-solving capabilities with the aptitude to manage ambiguity2+ years of relevant experience with SQL or Python, comfortable working with raw and intermediate datasetsStrong communication skills, capable of translating complex information to diverse audiences

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.

Join our team at Columbia University as a part-time Adjunct Associate Faculty for an advanced course on AI User Interfaces for Analytics. This role offers analytics professionals an exceptional opportunity to contribute their expertise while gaining valuable experience in graduate-level education at one of the leading institutions in the world.Key ResponsibilitiesParticipate in all class sessions, assist with instructional delivery, lead breakout discussions, and engage students in meaningful dialogue.Conduct class lectures and oversee instructional activities, ensuring a conducive learning environment.Assess and grade student assignments and assessments as required.

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our team as part-time Lecturers for the graduate-level course in Analytics for Cybersecurity Management. This course provides a thorough introduction to essential cybersecurity concepts, including network security, threat detection, and vulnerability management. It emphasizes the transformative potential of emerging AI and machine learning techniques in contemporary defense strategies. Students will engage with critical frameworks, sophisticated tools, and real-world case studies that illustrate how analytics supports strategic threat intelligence, incident response, and compliance with regulations.Key Responsibilities:Facilitate engaging class lectures, instructional activities, and discussions while attending all class sessions.Address student concerns and inquiries promptly and effectively.Assess and grade student assignments and performance.Hold regular office hours for student support.

The School of Professional Studies at Columbia University is on the lookout for a dedicated data analytics professional to join us as a part-time Adjunct Associate Faculty in our graduate course, Applied Analytics Frameworks & Methods I.In today's data-driven world, vast amounts of information are generated at unprecedented speeds through business transactions, online interactions, social media, and various sensors. This influx provides unique opportunities for predicting outcomes and understanding phenomena across diverse fields, including medicine, business, and space exploration. Our course emphasizes supervised learning techniques that facilitate effective predictions and insights. Students will navigate the data-wrangling process, starting with data exploration and foundational methodologies, before diving into supervised learning techniques such as linear regression, decision trees, and support vector machines. Additionally, students will engage in a predictive analytics competition to apply and integrate their learning.As an Adjunct Associate Faculty member, you will play a pivotal role in supporting the instructional process and providing subject matter expertise. This position is an excellent opportunity to gain experience in graduate-level teaching at Columbia University.Key ResponsibilitiesAttend all scheduled class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.Evaluate and grade student work and assessments as directed by the course Lecturer.Address and respond to student concerns and inquiries.

DIRECTOR OF DATA ANALYTICS Current is a pioneering consumer fintech platform redefining financial access for everyday Americans, boasting a community of over five million members. Our mission is to provide innovative financial solutions that integrate seamlessly to meet the diverse needs of our members, empowering all Americans to cultivate better financial futures. Based in the heart of New York City, our results-driven culture motivates us to create superior products, accelerate growth, and inspire every team member to make a meaningful impact on our mission to enhance financial outcomes. ABOUT THE ROLE We are on the lookout for an exceptional, hands-on Director of Data Analytics to drive and expand our functional analytics organization. In this pivotal role, you will lead analytics teams embedded within various departments, ensuring that data-driven insights are central to every strategic decision at Current. As a functional leader, you will uphold the standards of analytical excellence, collaborating with department heads to align on overarching strategies while ensuring that your analytics leaders adhere to established frameworks and robust data processes. A technically adept leader, you will delve into root-cause analyses, evaluate analysis designs, and interpret complex experimental results alongside your team. You must possess exceptional storytelling skills to translate intricate data into engaging narratives that foster adoption and stimulate organizational change. RESPONSIBILITIES Steer the analytics function organization-wide, ensuring methodological consistency, toolset uniformity, and quality standards across all embedded teams. Collaborate closely with Department Leads to synchronize analytics roadmaps with broader business objectives and P&L goals. Establish and oversee standardized processes for experimentation, data modeling, and reporting, ensuring adherence to Current’s best practices for data integrity. Serve as a subject matter expert in structuring and guiding in-depth exploratory analyses and business case development. Engage directly with data to tackle the company's most complex challenges. Participate actively in formal reviews for RFCs, experimental designs, and learning briefs, providing critical oversight on success metrics and the interpretation of complex test results. Manage the performance and career development of Analytics Managers and Leads, mentoring to elevate the technical and storytelling capabilities of the organization. Effectively manage team bandwidth and prioritize high-impact initiatives.

LifeMD is hiring a Vice President of Data & Analytics in New York, NY. This executive role shapes how the company approaches data and analytics, setting the direction for data strategy and ensuring the team delivers insights that guide business decisions. Key responsibilities Develop and execute data and analytics initiatives across the organization Manage and mentor a team of data professionals focused on generating actionable insights Implement advanced analytics solutions to support LifeMD’s healthcare mission Promote data-driven decision making to help drive business growth Team and impact This position leads a skilled group of data experts, working together to turn complex information into clear guidance for the company. The work directly supports LifeMD’s commitment to quality and innovation in healthcare.

Join monks as an Associate Director of Media Analytics and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee analytics projects, collaborating with cross-functional teams to optimize media performance and drive strategic decision-making.