Data Science Internship jobs at The Walt Disney Company - 313 jobs

Apply Now Apply Later Job ID 10128634 Location Santa Monica, California, United States / New York, New York, United States Business Disney Direct to Consumer Date posted Nov. 20, 2025 The Subscriber & Commerce Data Science team at Disney Streaming builds Machine learning models to optimize payment processes, detect and prevent fraud, and forecast customer lifetime value across our streaming platforms, including Disney+, Hulu and ESPN+. We play a key role in growing the business by increasing payment success, reducing fraud, improving retention, and enabling value measurement through user-level lifetime value (LTV) modeling. We're hiring a Data Scientist to help design, build and deploy machine learning solutions that solve key business challenges. In this role, you'll work closely with Product, Engineering, Analytics and Finance to deliver models that enhance the customer experience and drive measurable business impact. Responsibilities Machine Learning & Modeling Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction. Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation. Experimentation & Deployment Collaborate with Product and Engineering to deploy models into production environments and monitor performance. Design and analyze A/B tests and other experiments to assess model impact. Implement batch and real-time inference pipelines for fraud detection and payment optimization use cases. Insights & Strategy Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights. Translate complex data into clear, data-driven recommendations to improve business outcomes. Cross-functional Collaboration Partner with stakeholders to translate business needs into machine learning problems. Collaborate with Engineering to improve data pipelines, experimentation frameworks, and model monitoring. Communicate insights effectively to technical and non-technical stakeholders. Basic Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience developing and deploying machine learning models in production. Proficiency in SQL, Python (e.g., Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark. Preferred Qualifications M.S. or Ph.D. in a quantitative discipline. Deep expertise in statistical modeling and machine learning, including Bayesian methods. Familiarity with tools like Databricks, Snowflake, Airflow, GitHub. Experience designing and analyzing A/B tests and other experiments. Experience with data visualization and exploration tools such as Tableau, Looker. Ability to choose and justify appropriate modeling and statistical techniques for varied problems. Comfortable working in fast-paced environments with evolving priorities. Excellent communication skills with both technical and non-technical audiences. #DINSEYANALYTICS #DISNEYTECH The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year and in New York City, NY is $120,300 to $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting‑edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Principal Data Scientist, Machine Learning (Growth) As a Principal Data Scientist focused on Machine Learning for Growth, you'll play a key role in improving our customer experience from onboarding to new product adoption. You'll work cross‑functionally with product, engineering, and operations to design and deploy models that improve customer onboarding and product adoption across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying growth signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Marketing, Exchange Growth, and Credit Card to profitably improve customer growth. This is a high‑impact, hands‑on individual contributor role with opportunities for technical leadership and mentorship. This role is required to be in person twice a week at our San Francisco or New York City. Responsibilities Analyze large, complex datasets to identify opportunities to proactively improve onboarding and product adoption opportunities and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify growth opportunities, including lifetime value, marketing channel optimization, and product cross‑sell models. Build and maintain end‑to‑end data and model pipelines for marketing and growth, including onboarding & adoption anomaly detection and behavioral profiling of growth drivers. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve adoption rates and improve customer acquisition cost. Partner with product managers, engineers, and customer service operations to translate model outputs into effective growth strategies and user‑facing features. Communicate findings and recommendations to technical and non‑technical audiences, influencing strategy and prioritization. Mentor and guide more junior and mid‑level data scientists & machine learning engineers: lead code reviews, design reviews, and best practice evangelism. Help recruit and onboard new talent, shaping the future of Gemini's machine learning discipline. Stay up to date on new tools, technologies, and machine learning approaches, bringing proposals and proof‑of‑concepts when appropriate. Minimum Qualifications 10+ years of experience (7+ years with PhD) applying data science and machine learning in financial, payments, or B2C platforms. 5+ years of experience developing, deploying, and maintaining production‑grade ML models, ideally for real‑time or large‑scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit‑learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Demonstrated ability to work cross‑functionally with product, engineering, and operations teams. Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications Master's degree or equivalent experience in a quantitative field. Domain expertise in crypto / blockchain / Web3 data (on‑chain data, DeFi protocols, transaction analytics). Experience with lifetime value, marketing mix, or product recommendation models in fintech, banking, or crypto. Understanding of model governance, interpretability, and fairness in regulated financial contexts. Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team. Proven experience in recruiting, mentoring, leading design discussions, and influencing data science and machine learning best practices across teams. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long‑term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $192,500 - $275,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in‑person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #J-18808-Ljbffr

A leading insurance services firm in New Jersey is seeking a Head of Data Science to oversee advanced analytics projects. The ideal candidate will have over 8 years of experience in data science with a strong focus on marketing. Responsibilities include leading a team, developing impactful models, and aligning analytics initiatives with business goals. Competitive compensation and comprehensive benefits are offered, including health insurance and retirement plans. #J-18808-Ljbffr

A leading media and entertainment company in New York City is seeking a Data Scientist II to develop and deploy machine learning solutions. The role involves collaborating with Product and Engineering teams to optimize payment processes and enhance customer relationships. Ideal candidates will have a Bachelor's degree and over 3 years of experience in machine learning model development. Competitive compensation is offered, including a salary range of $120,300 to $161,300 per year. #J-18808-Ljbffr

A leading entertainment company is seeking a Data Scientist II to work on machine learning models, data analysis, and visualization. The ideal candidate will have a Bachelor's degree in a related field, with at least 3 years of experience in data science. The role requires deep knowledge of statistical methods, strong communication skills, and the ability to collaborate effectively with business teams. Competitive salary and benefits are offered, with a focus on enhancing user experiences across popular streaming platforms. #J-18808-Ljbffr

A leading entertainment company is seeking a Data Scientist II to work on machine learning models, data analysis, and visualization. The ideal candidate will have a Bachelor's degree in a related field, with at least 3 years of experience in data science. The role requires deep knowledge of statistical methods, strong communication skills, and the ability to collaborate effectively with business teams. Competitive salary and benefits are offered, with a focus on enhancing user experiences across popular streaming platforms. #J-18808-Ljbffr

Business: Disney Direct to Consumer Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep Analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data Sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

A leading media and entertainment company in New York City is seeking a Data Scientist II to develop and deploy machine learning solutions. The role involves collaborating with Product and Engineering teams to optimize payment processes and enhance customer relationships. Ideal candidates will have a Bachelor's degree and over 3 years of experience in machine learning model development. Competitive compensation is offered, including a salary range of $120,300 to $161,300 per year. #J-18808-Ljbffr

Apply Now Apply Later Job ID 10128634 Location Santa Monica, California, United States / New York, New York, United States Business Disney Direct to Consumer Date posted Nov. 20, 2025 The Subscriber & Commerce Data Science team at Disney Streaming builds Machine learning models to optimize payment processes, detect and prevent fraud, and forecast customer lifetime value across our streaming platforms, including Disney+, Hulu and ESPN+. We play a key role in growing the business by increasing payment success, reducing fraud, improving retention, and enabling value measurement through user-level lifetime value (LTV) modeling. We're hiring a Data Scientist to help design, build and deploy machine learning solutions that solve key business challenges. In this role, you'll work closely with Product, Engineering, Analytics and Finance to deliver models that enhance the customer experience and drive measurable business impact. Responsibilities Machine Learning & Modeling Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction. Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation. Experimentation & Deployment Collaborate with Product and Engineering to deploy models into production environments and monitor performance. Design and analyze A/B tests and other experiments to assess model impact. Implement batch and real-time inference pipelines for fraud detection and payment optimization use cases. Insights & Strategy Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights. Translate complex data into clear, data-driven recommendations to improve business outcomes. Cross-functional Collaboration Partner with stakeholders to translate business needs into machine learning problems. Collaborate with Engineering to improve data pipelines, experimentation frameworks, and model monitoring. Communicate insights effectively to technical and non-technical stakeholders. Basic Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience developing and deploying machine learning models in production. Proficiency in SQL, Python (e.g., Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark. Preferred Qualifications M.S. or Ph.D. in a quantitative discipline. Deep expertise in statistical modeling and machine learning, including Bayesian methods. Familiarity with tools like Databricks, Snowflake, Airflow, GitHub. Experience designing and analyzing A/B tests and other experiments. Experience with data visualization and exploration tools such as Tableau, Looker. Ability to choose and justify appropriate modeling and statistical techniques for varied problems. Comfortable working in fast-paced environments with evolving priorities. Excellent communication skills with both technical and non-technical audiences. #DINSEYANALYTICS #DISNEYTECH The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year and in New York City, NY is $120,300 to $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues Design data structures and storage schemes for efficient handling Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting Conduct Return on investment and benefit analysis Document and present model process and model performance Qualifications Currently enrolled in a PhD degree program in CS, Physics, or a related field Return to school in Fall 2026 to complete degree Experience in analytics, data mining, or predictive modeling Experience with regression, Neural Network, or ensemble methods Proficient in Python, R, Java, C++, or C Experience with Generative AI and algorithms/applications of Quantum Computing Additional Information Benefits/Perks: Fully remote Volunteer Time Off Great compensation Flexible work schedule Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: + Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues + Design data structures and storage schemes for efficient handling + Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting + Conduct Return on investment and benefit analysis + Document and present model process and model performance + Currently enrolled in a PhD degree program in CS, Physics, or a related field + Return to school in Fall 2026 to complete degree + Experience in analytics, data mining, or predictive modeling + Experience with regression, Neural Network, or ensemble methods + Proficient in Python, R, Java, C++, or C + Experience with Generative AI and algorithms/applications of Quantum Computing Benefits/Perks: + Fully remote + Volunteer Time Off + Great compensation + Flexible work schedule + Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: * Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues * Design data structures and storage schemes for efficient handling * Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting * Conduct Return on investment and benefit analysis * Document and present model process and model performance Qualifications * Currently enrolled in a PhD degree program in CS, Physics, or a related field * Return to school in Fall 2026 to complete degree * Experience in analytics, data mining, or predictive modeling * Experience with regression, Neural Network, or ensemble methods * Proficient in Python, R, Java, C++, or C * Experience with Generative AI and algorithms/applications of Quantum Computing Additional Information Benefits/Perks: * Fully remote * Volunteer Time Off * Great compensation * Flexible work schedule * Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

The Data Analyst- Forecast Performance & Competitive Insights will play a key role in advancing AccuWeather's leadership in forecast accuracy as well as project management. This position will support the Forecasting Operations team by comparing AccuWeather forecasts against those of other sources, identifying trends and deviations, and delivering insights that drive operational improvement and business differentiation. They will collaborate with meteorologists, data scientists, and leadership to rigorously evaluate forecast outcomes and support strategic initiatives across the organization. In addition, there will be project management responsibilities at times working toward improving our products and forecasts. This is a Part-time or Internship position. Must be willing to work on Saturday and Sunday, sometimes in the evening, to ensure needed data is captured and properly verified and reported on in a timely manner. There will be times when the candidate is asked to help during the week for vacation or sickness coverage. There is also the possibility that the position grows into opportunities for additional routine hours during the week. KEY RESPONSIBILITIES Collect, normalize, and analyze forecast data from AccuWeather and other sources across various geographies and timeframes. Develop and maintain metrics dashboards and automated reporting that reflect forecast accuracy, bias, timeliness, and reliability. Work with team members and Manager, Forecasting Technology on firm process and tools to complete tasks and report Produce actionable insights that inform continuous improvement of AccuWeather's operational forecasts. Develop them into Proof of Performance documents that showcase AccuWeather's Superior Accuracy™ Assist in the design and refinement of forecast evaluation tools, including visualization interfaces and comparative analytics. Support internal and external communication of AccuWeather's forecast superiority using data-driven evidence. Working with the Sr. Director, Strategic Projects, assist with project management and specification writing on an as-needed basis. Work mainly on weekends but also asked at times to fill in during the week for vacation and sickness situations. QUALIFICATIONS Working towards or have a Bachelor's degree in Data Science, Meteorology, Statistics, Computer Science, or related field. 2+ years of experience in data analysis, preferably involving large-scale, time-series or geospatial data a plus. Proficiency in Python, R, or SQL; experience with tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Plotly, Tableau). Understanding weather data formats and forecast models is highly desirable. Strong analytical thinking and communication skills-able to translate complex data into actionable insights. Attention to detail and commitment to data integrity and accuracy. Ability to work independently and collaboratively in a fast-paced, mission-driven environment. Ability to multi-task while staying detail oriented Strong communication skills, verbally and in writing, and ability to maintain a style, format, and philosophy as set forth by AccuWeather. ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather's proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast's Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur's Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ******************************* and let us know the nature of your request and your contact information.

The Data Analyst- Forecast Performance & Competitive Insights will play a key role in advancing AccuWeather's leadership in forecast accuracy as well as project management. This position will support the Forecasting Operations team by comparing AccuWeather forecasts against those of other sources, identifying trends and deviations, and delivering insights that drive operational improvement and business differentiation. They will collaborate with meteorologists, data scientists, and leadership to rigorously evaluate forecast outcomes and support strategic initiatives across the organization. In addition, there will be project management responsibilities at times working toward improving our products and forecasts. This is a Part-time or Internship position. Must be willing to work on Saturday and Sunday, sometimes in the evening, to ensure needed data is captured and properly verified and reported on in a timely manner. There will be times when the candidate is asked to help during the week for vacation or sickness coverage. There is also the possibility that the position grows into opportunities for additional routine hours during the week. KEY RESPONSIBILITIES * Collect, normalize, and analyze forecast data from AccuWeather and other sources across various geographies and timeframes. * Develop and maintain metrics dashboards and automated reporting that reflect forecast accuracy, bias, timeliness, and reliability. * Work with team members and Manager, Forecasting Technology on firm process and tools to complete tasks and report * Produce actionable insights that inform continuous improvement of AccuWeather's operational forecasts. Develop them into Proof of Performance documents that showcase AccuWeather's Superior Accuracy * Assist in the design and refinement of forecast evaluation tools, including visualization interfaces and comparative analytics. * Support internal and external communication of AccuWeather's forecast superiority using data-driven evidence. * Working with the Sr. Director, Strategic Projects, assist with project management and specification writing on an as-needed basis. * Work mainly on weekends but also asked at times to fill in during the week for vacation and sickness situations. QUALIFICATIONS * Working towards or have a Bachelor's degree in Data Science, Meteorology, Statistics, Computer Science, or related field. * 2+ years of experience in data analysis, preferably involving large-scale, time-series or geospatial data a plus. * Proficiency in Python, R, or SQL; experience with tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Plotly, Tableau). * Understanding weather data formats and forecast models is highly desirable. * Strong analytical thinking and communication skills-able to translate complex data into actionable insights. * Attention to detail and commitment to data integrity and accuracy. * Ability to work independently and collaboratively in a fast-paced, mission-driven environment. Ability to multi-task while staying detail oriented * Strong communication skills, verbally and in writing, and ability to maintain a style, format, and philosophy as set forth by AccuWeather. ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather's proven Superior Accuracy across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast's Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the "father of modern commercial meteorology." Myers, a leading creative thinker and visionary, has been called "the most accurate man in weather" by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur's Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ******************************* and let us know the nature of your request and your contact information.

McJ is looking for a highly motivated and detail-oriented Data Analyst with experience in dashboarding and Alteryx. The successful candidate will have the opportunity to create, maintain, and optimize dashboards and automating data workflows to provide actionable insights across various departments. This role will also contribute to data-driven decision-making, ensuring that reports and analyses are both accurate and impactful. The position reports into the Principal Data Scientist and collaborates closely with business stakeholders to support organizational goals. Responsibilities: Data Reporting & Dashboarding Design, create, and maintain interactive dashboards using tools such as Tableau, Power BI, or similar platforms to visualize key metrics and business performance. Deliver accurate and timely reports, including visual data insights and ad hoc analysis as required by business units. Collaborate with stakeholders to understand their needs and customize reports and dashboards to meet these requirements. Automate data extraction and transformation processes using Alteryx to improve data workflows and reporting efficiency. Data Analysis & Insights Analyze complex data sets to identify trends, opportunities, and areas for improvement. Provide actionable insights to various departments to support business decisions and optimize operational performance. Assist in preparing financial, operational, and performance reports for leadership teams. Data Quality & Automation Ensure the integrity of data by performing quality checks and addressing discrepancies in datasets and dashboards. Leverage Alteryx for data transformation, automation of repetitive processes, and streamlining ETL workflows. Continuously improve data processes and workflows for greater efficiency and scalability. Collaboration & Communication Work closely with cross-functional teams including IT, marketing, finance, and operations to gather requirements and provide data-driven solutions. Assist teams in the use and understanding of data visualizations, ensuring they are equipped to leverage insights effectively. Forecasting & Reporting Assist in the creation of data-driven forecasts, tracking KPIs, and maintaining historical performance data. Prepare and present regular reports on data trends and forecasting accuracy to the management team. Ad Hoc Analysis Participate in ad-hoc data analysis projects to support business initiatives and strategic planning. Maintain flexibility to adapt to shifting priorities and evolving project requirements. Required Skills/Abilities: Strong proficiency in Alteryx Designer for data transformation, automation, and ETL processes. Proven experience in designing and maintaining dashboards using Tableau, Power BI, or similar tools. Proficiency in Excel and SQL for data analysis and reporting. Ability to analyze large datasets and provide actionable insights that influence business decisions. Strong attention to detail and accuracy, especially when handling large volumes of data. Excellent communication skills, both written and verbal, with the ability to present complex data to non-technical audiences. Ability to work in a fast-paced environment, manage multiple priorities, and meet deadlines. Strong problem-solving skills and ability to troubleshoot data issues and workflow inefficiencies. Self-motivated with a passion for continuous learning and improving data processes. Preferred Qualifications: Bachelor's degree in Statistics, Economics, Business, Computer Science, or a related field. Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, or Azure). Experience with Alteryx Server administration and orchestration. This is a remote position. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Do you have a passion for problem solving and a desire to drive meaningful change in the industry? If so, we invite you to join our dynamic Enterprise Data Warehouse Team. We are seeking to 2 (Associate) Data Analyst - Enterprise Solutions at Quartz, a provider-sponsored health plan dedicated to improving the health and well-being of our communities. The (Associate) Data Analyst - Enterprise Solutions will partner with business resources to evaluate data needs and translate into deliverables for internal users and analytics applications as well as external entities including third party data feeds, regulatory, and governmental data needs. The (Associate) Data Analyst - Enterprise Solutions will use the following skills: Source to target documentation Basic to Intermediate knowledge of SQL and analytical software Apply data warehousing principles to load or provision data to third parties Apply healthcare domain knowledge when partnering with business resources to determine data needs Benefits: Work in new cloud-based data architecture leveraging snowflake and Azure environment. Work directly with internal and third-party business users to develop data solutions for the organization's growing analytic needs. Starting salary range based upon skills and experience for Associate Data Analyst level: $60,100 - $75,200 plus total rewards package. Starting salary range based upon skills and experience Data Analyst level: $77,200 - $90,000 plus total rewards package. Responsibilities Collaborate with business users, external vendors and/or government entities to obtain data requirements for new analytics applications and data feeds or enhancement of existing products. Uncover appropriate sources of data for proposed application or data warehousing extension profiling data to ensure fitness for business purpose. Coordinate business requirements for the data and provide consultation to internal stakeholders to support their data needs. Understand source and target data structures, using standard data tools to review required data and fully profile the data to analyze its ability to meet the business needs. Complete impact assessments and ad hoc analyses to ensure that production issues and other reported deficiencies are adequately understood and resolved by updating requirements. Translate requirements into technical requirement specifications, appropriately documenting the solution via Report Specifications, Data Flow Diagrams, and Source to Target (STT) documents. Qualifications Bachelor's Degree with 2+ years of relevant work experience OR associate degree with 5+ years of relevant work experience OR high school equivalency with 8+ years of relevance work experience Associate-level Education Qualifications: Bachelor's degree with 0+ years of relevant work experience OR associate degree with 2+ years of relevant work experience OR high school equivalency with 5+ years of relevant work experience Strong communication skills with a passion for bridging the gap between business and technical users Data analysis experience with an emphasis on loading a data warehouse or provisioning the data to third parties Experience with source to target documentation Excellent documentation and written communication skills Domain knowledge (healthcare, EHS, managed care, Medicare, etc.) Basic to Intermediate knowledge of SQL, analytical software, query tools Basic to Intermediate knowledge of data warehousing principles including provenance, lineage, etc. and applies best practices Ability to manage multiple projects simultaneously, work independently, under pressure, and be adaptable to change Must be inquisitive and seek answers to complex questions without being prompted Create strong relationships and provide positive experiences for internal partners Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability. #LI-DNI We can recommend jobs specifically for you! Click here to get started.

ASI is the largest global provider of technology B2B services for the $26.1 billion promotional products industry (branding and marketing). With 25,000 clients in 53 countries, our mission is to inspire, inform, and empower our clients' success every step of the way. ASI currently has a hybrid work model. This position requires in person attendance at our office on Tuesdays and Wednesdays. As a Data Intelligence Intern, you will get exposure to a professional business environment and learn a structured approach on how to organize and manage company requests and data. You will also gain insight on how to conduct/provide analysis that is meaningful to business. The Data Intelligence Intern will report directly to the Manager, Data Intelligence and support several teams within the Data Intelligence group. This is a paid internship with an hourly pay-rate of $18.00 per hour. Working hours are Monday-Friday 8:30 am - 5:00 pm. Responsibilities: Compiling and evaluating data on our print and digital products and their associated delivery results. Coordinating and logging incoming department requests for data Assisting in department documentation. Coordinating data for monthly reporting and adhoc analysis. Assisting with imports, field creation, and eNewsletter email deployments. Qualifications: Majoring in statistics, mathematics, economics, data analytics, data science or related field. Proficient in MS Excel and comfortable with new software tools. Exceptional statistical and analytical skills. Excellent oral/written communication skills. Highly organized and provides quality work in a timely manner. Ability to work independently either onsite or remotely in a team environment. MS Access, PowerBi, Tableau, and/or SQL experience is a plus. Why intern at ASI this summer? ASI's internship program offers valuable experience in a fun and rewarding environment. Interns will participate in a fast-track education program designed to provide a full industry overview as well as courses on soft skills, networking, and more, designed to help enhance your professional development. ASI interns are immersed in their field with real work, culminating in an end-of-summer group presentation to ASI's senior staff members. Interns have weekly opportunities to connect with other interns, employees, senior leaders, and top-level executives. You'll also participate in fun activities on social media throughout the summer. We offer our interns awesome perks like gym membership reimbursement (we'll cover up to $40/mo. for any gym), paid summer holidays, employee discounts at our onsite café/Starbucks, and more. ASI offers full-time employees a comprehensive benefits package including: Medical, Dental, and Vision coverage, available on day one of employment. Paid maternity and paternity/bonding leave (12 weeks paid for birthing/primary parent and 4 weeks paid for secondary parent) and a parent support group. 12 weeks of paid daycare for new parents (14 weeks at our onsite daycare center, Lots of Love). Free Health and Wellness programs. Free 24/7 access to Magellan Employee Assistance Program and Teladoc. Day one 401(k) with company match. Paid holidays, floating days, and paid time off (PTO). Office amenities with onsite café, Starbucks, 24/7 free gym access and classes, onsite daycare, EV charging stations, creative spaces such as our community garden club, music room, art room, and relaxation space. Take this opportunity to join our successful team! Apply today! EOE m/f/d/v. ASI is an equal opportunity employer, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Diversity makes us better. Check out ASI's Diversity and Inclusion Blog Posts. Visit our company career web site at *******************

Job Description ASI is the largest global provider of technology B2B services for the $26.1 billion promotional products industry (branding and marketing). With 25,000 clients in 53 countries, our mission is to inspire, inform, and empower our clients' success every step of the way. ASI currently has a hybrid work model. This position requires in person attendance at our office on Tuesdays and Wednesdays. As a Data Intelligence Intern, you will get exposure to a professional business environment and learn a structured approach on how to organize and manage company requests and data. You will also gain insight on how to conduct/provide analysis that is meaningful to business. The Data Intelligence Intern will report directly to the Manager, Data Intelligence and support several teams within the Data Intelligence group. This is a paid internship with an hourly pay-rate of $18.00 per hour. Working hours are Monday-Friday 8:30 am - 5:00 pm. Responsibilities: Compiling and evaluating data on our print and digital products and their associated delivery results. Coordinating and logging incoming department requests for data Assisting in department documentation. Coordinating data for monthly reporting and adhoc analysis. Assisting with imports, field creation, and eNewsletter email deployments. Qualifications: Majoring in statistics, mathematics, economics, data analytics, data science or related field. Proficient in MS Excel and comfortable with new software tools. Exceptional statistical and analytical skills. Excellent oral/written communication skills. Highly organized and provides quality work in a timely manner. Ability to work independently either onsite or remotely in a team environment. MS Access, PowerBi, Tableau, and/or SQL experience is a plus. Why intern at ASI this summer? ASI's internship program offers valuable experience in a fun and rewarding environment. Interns will participate in a fast-track education program designed to provide a full industry overview as well as courses on soft skills, networking, and more, designed to help enhance your professional development. ASI interns are immersed in their field with real work, culminating in an end-of-summer group presentation to ASI's senior staff members. Interns have weekly opportunities to connect with other interns, employees, senior leaders, and top-level executives. You'll also participate in fun activities on social media throughout the summer. We offer our interns awesome perks like gym membership reimbursement (we'll cover up to $40/mo. for any gym), paid summer holidays, employee discounts at our onsite café/Starbucks, and more. ASI offers full-time employees a comprehensive benefits package including: Medical, Dental, and Vision coverage, available on day one of employment. Paid maternity and paternity/bonding leave (12 weeks paid for birthing/primary parent and 4 weeks paid for secondary parent) and a parent support group. 12 weeks of paid daycare for new parents (14 weeks at our onsite daycare center, Lots of Love). Free Health and Wellness programs. Free 24/7 access to Magellan Employee Assistance Program and Teladoc. Day one 401(k) with company match. Paid holidays, floating days, and paid time off (PTO). Office amenities with onsite café, Starbucks, 24/7 free gym access and classes, onsite daycare, EV charging stations, creative spaces such as our community garden club, music room, art room, and relaxation space. Take this opportunity to join our successful team! Apply today! EOE m/f/d/v. ASI is an equal opportunity employer, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Diversity makes us better. Check out ASI's Diversity and Inclusion Blog Posts. Visit our company career web site at *******************

As the Data Analyst for the Security Analytics & Innovation team you will help in the development, deployment and administration of Analytical Products as well as Metrics & Reporting that supports the Security strategy, decision making and controls within the organization. To be successful you must be driven and well-organized, with strong learning abilities and be open to creative problem-solving activities. This is an entry level role requiring the individual to have the aptitude to learn and to participate in the activities related to cybersecurity incident response, support, and maintenance activities. If this sounds like you, please keep reading and apply! Primary Responsibilities Create and update policies/procedures and system documentation as it relates to existing and new Analytical products, Metrics & Reporting packages, and Security Controls Map process flows from end to end for research purposes Organize and maintain a Metrics & Reporting Inventory Manage successful Metrics & Reporting Delivery Perform ad-hoc Analysis that contributes to strategy and decision making Aid team supporting Automation maturity efforts Assist with researching Security platform systems and processes Maintain up-to-date knowledge on policies and procedures Work individually and with your team to meet and exceed established goals Schedule and facilitate meetings as needed Job Requirements a bachelors degree or equivalent transferable experience through coursework or work experience in lieu of participation in the Elevate Program Experience with programming languages such as Python, R Studio, SQL Familiarity in working with structured and unstructured data sources Excellent verbal and written communications; ability to explain project risks and issues, research analysis, and technical concepts clearly and concisely Highly motivated with strong organizational, analytical, decision making, and problem-solving skills Ability to build strong partnerships and to work collaboratively with all business and technical areas.