Data Science Internship remote jobs

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAA's ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience Work with Strategies and Model Management teams to understand and plan model needs Drives continuous innovation in modeling efforts Collaborate with the broader analytics community to share standard methodologies and techniques We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel. What you'll do: Captures, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Consults with peers for mentorship, as needed. Translates business request(s) into specific analytical questions, completing the analysis and/or modeling, and presenting outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal partners to deploy analytical solutions that are aligned with the customer's vision and specifications and consistent with modeling best practices and model risk management standards. Seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field Experience in training and validating statistical, physical, machine learning, and other sophisticated analytics models. Experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Ability to write code that is easy to follow, well detailed, and commented where vital to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Familiarity with performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Ability to communicate analytical and modeling results to non-technical business partners. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Experience in fraud/financial crimes model development Compensation range: The salary range for this position is: $93,770 - $168,790. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. This role may be eligible for remote work in the United States depending on business needs and hiring manager approval **Meet the Team** At Cisco you will find a diverse group of people solving business issues. We work with multi-functional teams to facilitate new business models and process improvements. Cisco employs the best so you will be surrounded by others as bold and dedicated as yourself. **Your Impact** As a Business Analyst Intern for Cisco, you will develop creative solutions for real business challenges. You will collaborate on multi-functional projects to identify areas for improvement within Cisco. You will analyze internal processes, data, and problems, and identify benefits from enabling new capabilities. Ultimately, you will improve how Cisco operates and how we work together. **Minimum Qualifications** + Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College), or currently enrolled in an undergraduate degree program. Relevant fields include: Business, Supply Chain, Communications, Mathematics, Finance, Industrial Engineering, Statistics, or a related program or other academic certification. + Able to legally live and work in the country for which you're applying, without visa support or sponsorship. **Preferred Qualifications** + You have excellent analytical, problem-solving and decision-making skills. + You possess a high level of customer focus and service excellence as you seek practical solutions. + You have collaboration skills with internal and external customers and multi-functional teams. + You have superb interpersonal skills, a "can do" demeanor and are able to collaborate with others in a global environment. + You possess effective time-management skills and the ability to prioritize work assignments. + You are process-oriented with a strive to simplify and improve processes. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

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

Hiring Manager: COO - ADL Mentor: Data Science Team (Candidates must currently reside in the United States and be authorized to work here. We are unable to consider applicants located outside the U.S. or candidates who would require current or future sponsorship at this time.) Full Time up to 40 hours per week This is a twelve (12) week internship program starting in May 2026. You must be enrolled in college during the internship with a graduation date after August 2026. Company Overview Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain. To learn more, visit News.Ever.Ag. Summary This position is for a 12 week internship within the Data Science team at Ever.ag. The goal would be to assist the data science team in their continued development and deployment of leading data science applications in the food production supply chain space. What are some potential projects? The project(s) will vary depending on the research and customer projects that current when the intern joins the team. Likely projects / work streams will include: Cleaning and analyzing large complex data sets for commodity food processor to provide insights to customers regarding potential production improvements Working with services and ADL data scientists to understand and document customer problems and translate this into application development and data science requirements Assess cutting edge machine learning techniques in the analysis of large complex data sets for food production companies Develop data science forecasting techniques to improve commodity forecasting accuracy Other duties as assigned What competencies can you expect to receive/improve? Improve technical skills regarding the parsing and analysis of large complex data sets. In particular develop a good understanding of the use of modern data analysis techniques including PYTHON, SQL, R and others Improve presentation skills by summarizing complex data analysis for the understanding of senior executives Appreciate the development of robust production software applications from design to testing and release Hone skills in the general data science field About You (Qualifications): Candidates must be pursuing a bachelors degree or higher in applied science or mathematics or similar from an accredited college or university with a graduation date after August 2026. Should have a real interest in the application of modern math techniques in the advancement of data science research An interest in continuous production and food processing is useful Comfort in taking disparate and complex data sets and refining them into useful, practical insights is helpful About the team: Ever.Ag Data Science lead the industry in applying modern data science and leading research techniques to the world of food processing and production. The team is intellectually curious, and passionate about solving complex real-world problems with practical solutions and applications. We foster a collegiate team culture - recognizing that no one person has all of the answers and that the collective design and solutioning process helps develop a better solution for the customer What you will experience Work on increasingly challenging and engaging real-world projects Gain hands-on experience Collaborate with experienced professionals A casual team environment with colleagues who enjoy working with each other and what they do. Teamwork matters. A bottom-up organization with direct access to the firms' principals, avoiding the bureaucracy that slows down large organizations Our Corporate Values Honesty, Integrity and Trustworthiness - We build trust through transparency and openness. We communicate authentically. Serve our Customers and Each Other - We go above and beyond for our customers, our people and our community. We put our customers at the heart of the business. Embrace Change and a Pioneering Attitude - We have a growth mindset. We innovate and continuously improve. We embrace change with curiosity. Whatever it Takes - We have a can-do spirit. As challenges arise, we run towards them to deliver results. Passion For Excellence - Great isn't good enough. We have high standards, and we continuously strive to improve. Team Player - No egos here. Working together is how we win. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identify or expression, or veteran status. We are proud to be an equal opportunity workplace in hiring and growth opportunities. We are not able to support sponsorship for employment at this time. Who you will be working for Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain. We welcome candidates from all backgrounds to contribute their unique perspectives to our team. Your success is our success! Please visit our webpage to learn more about us News.Ever.Ag and ********************

As the only user-focused observability solution built on OpenTelemetry, Embrace delivers crucial insights across both DevOps, web and mobile teams to illuminate real customer impact - not just server impact - to deliver the best app experiences. Customers like The New York Times, Marriott, Masterclass, Home Depot, and Cameo love Embrace's observability platform because it makes extremely complicated and voluminous data actionable. Our cultural values highlight how we seek to improve as individuals, team members, and a company each and every day. About the Role We're looking for a Data Science Intern to join our team for a 3-month internship focused on uncovering patterns and insights within the billions of mobile and web events that Embrace collects on behalf of its customers' apps. You'll work closely with our product and engineering teams to design and prototype models that detect valuable patterns in user behavior, app performance, and telemetry data-and help translate those ideas into product features that empower web and mobile developers to build better experiences. This is a hands-on, high-impact internship where you'll gain experience applying modern data science and machine learning techniques to large-scale real-world data. What You'll Do Explore, analyze, and visualize large datasets from mobile + web observability data and user session data Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features Present findings to technical and non-technical audiences Contribute to documentation, reproducible notebooks, and internal demos Basic Qualifications Currently enrolled in a Master's program in Data Science, Computer Science, or a related quantitative field Proficient in Python and familiar with key data science frameworks E.g. Pandas/Polars, NumPy, scikit-learn, data visualization libraries such as matplotlib or seaborn Foundational understanding of machine learning concepts (supervised, unsupervised, feature engineering, evaluation metrics) Ability to query and manipulate large datasets using SQL or PySpark Strong analytical and problem-solving skills with attention to detail Excellent written and verbal communication skills Curiosity and enthusiasm for working with large-scale, real-world data Preferred Qualifications Experience working with time-series or event-based data Experience with data visualization tools (e.g., Plotly, Dash, Streamlit, or similar) Familiarity with non-parametric statistics on event-based data Familiarity with deep learning frameworks like PyTorch or TensorFlow and judgement on when to use them Familiarity with cloud data ecosystems (e.g., ClickHouse, Snowflake, BigQuery, AWS, or GCP) Contributions to open-source projects or independent research projects Excitement about learning from experienced engineers and seeing your work influence product direction A love of discovering patterns - and maybe also of Star Wars (or Star Trek ) Compensation: This is a paid internship with an expected hourly rate of $23-$27/hour, depending on experience and program level.

Responsibilities: Provide essential support as a Junior Data Analyst, offering valuable insights for data-driven decision-making, primarily concentrating on retention marketing strategies. Collect, analyze, and interpret data to identify trends and make strategic recommendations for improvement in areas such as product performance, marketing campaigns, customer experience, and customer segmentation. Support the development of retention forecasts and work with other analysts to refine and improve forecasting models. Create reports and dashboards to track key performance indicators. Collaborate with teams across departments to ensure data accuracy and integrity. Other duties as needed. Qualifications: 2+ years of direct and hands-on experience providing solutions. Bachelor's degree in a relevant field (e.g., Business, Marketing, Data Science, or a related field) Excellent analytical and problem-solving skills, detail-oriented, and able to work well within a small, dynamic and data-driven team. Solid understanding of database technologies, data analytics, and reporting tools Strong working knowledge of Excel and Google Sheets required. Solid communication and presentation skills Prior experience with any variant of SQL preferred. Experience with Google Analytics or other web analytical tools preferred Experience with data visualization tools like Looker is preferred. Benefits: 20 Vacation Days 40 Hours Paid Sick Leave Paid Mental Health Days 9 Paid Holidays Life AD&D + LTD Coverage Medical, Dental, Vision, HSA + FSA Employee 401(K) Plan Monthly Utility Allowance Employee Discounts

We are seeking a highly motivated and proactive Intern to join the team. This is a paid internship and is a completely remote position. This role requires the individual to have the aptitude to learn and to participate in the evaluation and analysis of operational metric data. To be successful the candidate must be driven and well-organized, with strong attention to detail. It is essential for this individual to be self-motivated and tenacious, thrive in a collaborative, fast-paced environment, and complete tasks on agreed schedules. Job Description Primary Responsibilities: Work with the team and departmental managers to create a prioritized list of reporting needs within Infrastructure Elicit and analyze needs and translate / document information into reporting requirements Import and build small databases for data mining Acquire data from primary and / or secondary data sources and maintain databases Use statistical methods to interpret data, analyze results, and provide ongoing reporting Use data to create models that depict trends in portfolio financials and operational effectiveness Run database queries in order to support data validation within reports Filter and “clean” data to locate and correct code problems Identify and recommend new ways to meet the Infrastructure reporting Facilitate meetings to review data findings and metrics Develop and update documentation to support new / changes to procedures Develop, generate, maintain and monitor reports and files Consolidate and create monthly decks providing operational metrics and key messages Works under significant supervision of a Manager Qualifications 1 year of Data Analyst experience with a Bachelor's degree or equivalent transferable experience through coursework, internships or work experience. Strong business and technology aptitude with a willingness to learn and understand business and software solutions. Excellent verbal and written communications; ability to communicate and present requirements and issues clearly and concisely Proficient with elaborate / complex MS Excel spreadsheets (e.g. formulas, pivot tables, graphs, etc.) or Access Database Ability to build strong partnerships and to work collaboratively with all business and IT areas. Highly motivated with strong organizational, analytical, and problem solving skills. Strong communication and documentation skills. Ability to effectively prioritize and execute tasks in a high-pressure environment. Financial knowledge and aptitude Ability to effectively use Microsoft Office products to drive data analytics and reporting. Additional Information Pay Type: Hourly Hiring Rate $27.50 Travel Required No Telecommute % 0 Fully Remote Duration: 2 months with option to convert to full time role. All your information will be kept confidential according to EEO guidelines.

This role is with Rockwell Automation. Rockwell Automation uses RippleMatch to find top talent. The Data Science Analyst Internship is an 8-12-week summer internship, geared toward students who want to jumpstart a career in digital transformation and innovation consulting. Data Science Analyst Interns will gain client-facing experience, assume leadership roles among their team, develop meaningful client deliverables, and contribute to internal initiatives and business development. Those who demonstrate an ability to succeed in this role will be automatically considered for a full-time position as an Analyst beginning in the Fall of 2027. Your Responsibilities: Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences. Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability Develop data models for digital solutions in various industries covering themes like forecasting, risk analysis, customer behavior, timeseries, asset efficiency, predictive maintenance, multi-dimensional correlation, NLP/NLG, Vision AI, and model benchmarking Build scalable tools for processing large data volumes using on-prem, cloud, and hybrid technologies Design and implement machine learning and data management strategies Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research Drive internal initiatives and contribute to development of company culture and fellow interns This is a remote position and can be located anywhere in the United States. The ability to travel up to 50% of the time is required. The Essentials - You Will Have: A bachelor's degree in progress from an accredited college or university Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening. The Preferred - You Might Also Have: An undergraduate Computer Science, Data Science, Engineering, Machine Learning, Mathematics, Statistics or similar quantitative degree in progress with a 3.3 cumulative GPA or higher and an expected graduation date of Spring 2027 Previous internship or part-time analytical work experience The ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations Demonstrated abilities in leadership and team building Proficiency with Machine Learning model development and mathematical disciplines Experience with R, Python, Scala, D3.js, Tableau, Kibana, HTML5, CSS, Java, .NET languages, ETL/ETLV, Graph/NoSQL, Oracle, and MS SQL Server, RESTful and SOAP Web Services What We Offer Interns: Health Insurance including Medical, Dental and Vision 401k Paid Holidays To learn more about our benefits, please visit ******************* #LI-Remote #LI-DNI For this role, the Salary Compensation is $35/hour. Our benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience. At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

About Us At Splash, our mission is to make music creation accessible for everyone. Since 2017, we've been at the forefront of AI-driven music technology, building experiences that empower the next generation of creators. Our web and gaming-based music tools, including those on platforms like Roblox, have introduced millions to music production in fun and engaging ways. Backed by leading investors including Amazon's Alexa Fund and Khosla Ventures, we're assembling a team of engineers, designers, musicians, and business thinkers who are passionate about redefining the future of music tech. Applications for internships and graduate roles are open to current MBA students, recent graduates, and those early in their careers. This role will work closely with our Australian team, West Coast timezone is preferred as afternoon work is a must for crossing over timezones. The Role We're looking for a Business Analyst Intern to help us analyze product performance, surface insights, and drive smarter decisions across our web and gaming experiences. This role is perfect for a highly analytical thinker - someone who can dive into tricky data sets, find actionable insights, and help build fast, practical solutions. In this role, you'll work with product leaders, engineers, and designers to interpret user behavior, build dashboards, track product performance, and surface opportunities to make our tools better. You'll also help detect bugs, uncover odd behaviors in our game and web experiences, and suggest improvements that lead to smarter, faster decision-making. If you're a current MBA student, recent grad, or someone with strong business/data analysis experience and are passionate about analytics, creativity, and tech this role may be perfect for you! Please note, we receive a high volume of interest for our roles. To ensure your application stands out please consider the requirements listed, our industry of music, gaming and a growing gen z audience and how your experience will help you succeed in this role. Responsibilities - Build and maintain product dashboards using BI tools like Amplitude, Looker, or similar platforms- Analyze user funnels, retention, monetization, and engagement trends across web and gaming products- Troubleshoot bugs, behavioral anomalies, and data inconsistencies; help explain why things happen and propose fixes for future bug mitigation - Work with limited or partial data (e.g. from game engines) and develop creative workarounds to measure key metrics - Support the product and engineering teams with insights to inform roadmaps, experiments, and design decisions- Identify gaps and opportunities in how we understand user behavior and product vision- Help shape how we collect, visualize, and report on product data and business metrics- Present findings and recommendations to stakeholders in clear, compelling formats Collaborate cross-functionally to improve our data pipelines, tagging strategies, and analytics frameworks- Focus on speed and delivery; we move fast, release updates weekly if not daily. This role is not about large projects over months, rather a continual moving and evolving role that will see you adapting to new releases About You We're looking for someone who thrives in ambiguity, loves turning messy data into insights, and is excited by the idea of working at the intersection of product, analytics, and creative tech. You might be a good fit if you:- Are currently enrolled in an MBA program, recently graduated, or have equivalent business/data experience- Have experience with BI or analytics tools like Amplitude, Looker, Mixpanel, Tableau, or similar (if you haven't used our stack, we'd love to hear about platforms you have used and how you've tackled similar problems)- Are a fast, practical thinker who can define what to measure and how to do it without perfect data Know your way around data dashboards, KPIs, funnel metrics, and user segmentation- Love solving product puzzles and identifying bugs, gaps, or mismatches between expected and actual user behavior- Are comfortable communicating insights to non-technical stakeholders and making data feel accessible and actionable- Are curious, adaptable, and passionate about music, gaming, or consumer applications (or all three!) What to Expect - Work alongside a small but powerful team of experts from companies like Spotify, SoundCloud, Twitch, Amazon, and Apple.- Gain hands-on experience in a startup environment where your contributions directly impact our products.- Get mentorship and exposure to how a product-driven tech company operates.- Collaborate in a dynamic, multidisciplinary team of engineers, musicians, designers, and product experts.- Remote work with a global team *Please note, we are a global team, cross-over hours with US and Australia is a requirement for this role. US West Coast is preferred. Application Process To apply, please include: - Your resume and answers to the questions prompted at application (cover letter optional, as these questions should address our specific criteria)- An online portfolio or any attached examples of dashboards, slide decks, or analytical work you're proud of (optional but helpful!) We receive a high volume of interest for our roles. To stand out, focus on your analytical thinking, your ability to move fast, and how you've used data tools to drive better decisions in messy, ambiguous contexts. Diversity, Equity & Inclusion Music has the incredible ability to bridge divides and bring people together, regardless of their background or identity. Like the industry we work within, diversity, equity and inclusion are at the heart of everything we do. We are committed to creating an inclusive environment where everyone feels valued, respected, and empowered. We actively seek out and welcome voices from all backgrounds and believe that diverse perspectives fuel our creativity and drive success. 🚀 Ready to kickstart your career in music tech? Apply now and let's build the future of music creation together! 🎵 PDF preferred For more info visit splashmusic.com

Direct Persuasion is actively recruiting a highly motivated individual to join our dynamic and ambitious Republican marketing team. As a Junior Data Analyst, you will have the opportunity to support day-to-day setup, collection, harmonization, visualization, and analysis for prominent political campaigns, national committees, faith-based nonprofits, and conservative-minded organizations. This role offers exposure to diverse data platforms and tools, enabling you to make a significant impact on how the team understands client data and campaign trends with digital fundraising, voter outreach, and persuasion initiatives. Responsibilities Handle pulling, cleaning, and organizing data from ad platforms like Meta, Google, X and more, along with Google Analytics 4, Salesforce, and Google Big Query Maintain business intelligence infrastructure across tools like Datorama, Claude, Looker Studio and Google Sheets Complete data audits and analysis to ensure product quality and troubleshoot issues as they arise Assist with data measurement setup like Google Tag Manager, site tracking, client onboarding, and overall performance reviews Qualifications Bachelor's degree preferred, but not required Passion for Republican politics Background in data preferred, but not required Excellent written and verbal communication skills Proficient knowledge of Microsoft Excel and/or Google Sheets Proficient knowledge of Google Tag Manager and Google Analytics 4 Background in BI tools like Datorama, Looker Studio Background in basic SQL or strong willingness to learn Ability to manage multiple task deadlines Organized, flexible, and able to work both independently and with the team BONUS: Proficient knowledge of APIs, ETL tools, AI analytics tools The type of person who thrives at Direct Persuasion Self-starter Adaptable Organized Enthusiastic Competitive Learner Responsible Ambitious Independent Skills Data analysis Problem solving Data storytelling Culture We are a next-generation digital agency with a passion for Republican politics and issue advocacy. Whether it's converting a user to a donor or a citizen to a voter, we will find our client's audience anywhere on the Internet. We can transform their digital campaigns to drive cost efficiency and significant growth by providing a new age full-funnel media solution. As part of this mission, our agency believes in sourcing, training, and empowering only the best humans to help us achieve success. Our friends in the industry have called us fast, iterative, scrappy, and willing and able to try new things, all while remaining smart, kind, and humble amongst all levels of the team. To show our appreciation for our incredible staff, we have generous vacation policies, WFH flex days, commute budgets, team bonding events, and wellness gifts, all which are available to interns should they choose to stay with us in either an in-person or virtual role following graduation. All that being said, we're so excited to welcome new talent and can't wait to start meeting and greeting applicants soon! Benefits Incentive-Based Bonus Structure Comprehensive Healthcare OneMedical Membership Life Insurance 401K Matching Generous PTO Work-from-Home Fridays Dog-Friendly Office Additional Perks Team bondings and vendor outings Networking with others in the Republican digital space Exposure to talented colleagues at technology platforms, news publishers, and data partners

Sparks Wiz Limited is a premier provider of engineering consulting services, delivering innovative solutions to meet the diverse needs of our clients. We are seeking a detail-oriented Data Entry Clerk to join our team and ensure the accuracy and efficiency of our data management processes. Note: This position is strictly open to candidates within the United States. As a Junior Data Analyst at Sparks Wiz Limited, you will support the data analytics team by collecting, analyzing, and interpreting data to help inform business decisions and strategies. You will work closely with senior analysts and consultants to ensure that data-driven insights are accurate and actionable, contributing to the firm's consulting projects and internal operations. Key Responsibilities: Data Collection and Management: Gather and preprocess data from various sources, including internal databases, client data, and external research. Ensure data integrity and accuracy through regular data validation and cleaning processes. Assist in maintaining and updating data management systems and databases. Data Analysis: Perform basic statistical analysis and data mining to uncover trends, patterns, and insights. Create and maintain dashboards and reports to visualize key metrics and findings. Support the development of data models and algorithms for more advanced analytics. Reporting and Presentation: Generate regular and ad-hoc reports for internal teams and clients. Prepare clear and concise presentations of analytical findings and recommendations. Assist in communicating complex data insights in a straightforward and understandable manner. Collaboration: Work closely with senior analysts, consultants, and other team members to understand project requirements and deliver data-driven solutions. Participate in meetings and discussions to contribute insights and support data-related decision-making. Continuous Improvement: Stay updated with the latest data analysis tools, techniques, and industry trends. Identify opportunities to improve data collection, analysis processes, and reporting methodologies. Participate in training and development activities to enhance skills and knowledge. Qualifications: Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Experience: 0-2 years of experience in a data analysis role or a related internship. Experience in an engineering or consulting environment is a plus. Skills: Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous. Basic understanding of statistical methods and data modeling techniques. Strong analytical and problem-solving skills. Good communication skills, with the ability to present data insights clearly and effectively. Personal Attributes: Detail-oriented with a strong focus on accuracy and precision. Eager to learn and grow within the field of data analytics. Ability to work collaboratively in a team environment and manage multiple tasks. Proactive and capable of taking initiative in problem-solving. Preferred Qualifications: Familiarity with data warehousing concepts and tools. Experience with data cleaning and preprocessing techniques. Knowledge of engineering and consulting industry practices. Working Conditions: Remote-based with potential for hybrid work arrangements. Full-time position with standard working hours; occasional extended hours may be required based on project needs. Job Type: Full time Pay: $26.00 - $37.00 per hour Expected hours: 40 hours per week Benefits: 401(k) Dental insurance Health Insurance Life Insurance Paid time off Schedule: Monday to Friday Work location: Remote Note: This position is open to candidates within the United states, San Antonio TX, New York City NY, phoenix AZ and Philadelphia PA. People with a criminal record are encouraged to apply Sparks Wiz Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Package Details 401(k) Dental insurance Health Insurance Life Insurance Paid time off

Job Description Why Work at Mercer Advisors? For 40 years, Mercer Advisors has worked with families to help them amplify and simplify their financial lives. How? By integrating financial planning, investment management, tax, estate, insurance, and more, all managed by a single team. Today we proudly serve over 31,300 families in more than 90 cities across the U.S. Ranked the #1 RIA Firm in the nation by Barron's, we are an independent, national fiduciary legally obligated to always act in the best interest of our clients.* Mercer Advisors offers a distinct work environment that stands out in the financial industry. Our overall employee base and client-facing team are composed of 50% women, reflecting our commitment to diversity. We attract top talent from across the country, with no formal headquarters and flexible working arrangements, allowing us to assemble the best team possible. Join us and be a part of a team dedicated to making a meaningful impact on the financial lives of families across the country. * Mercer Advisors was ranked #1 for RIA firms with up to $70 billion in assets. The Barron's top RIA ranking is based on a combination of metrics - including size, growth, service quality, technology, succession planning and others. No fee was paid for participation in the ranking, however, Mercer Advisors has paid a fee to Barron's to use the ranking in marketing. Please see important information about the ranking criteria methodology here. Job Summary: As a Data intern, you will work collaboratively with fellow colleagues at Mercer Advisors to contribute to critical data projects. As a Data Intern, you can work on various initiatives such as customer attrition analysis, document data models, analytics and AI, and more. Your internship will be filled with opportunities for professional development, mentorship, the chance to apply coursework to real-world experiences, and some fun, too! Essential Job Functions: Collaborate with the data team to develop and implement predictive models for customer attrition analysis. Assist in designing and implementing document models to extract valuable insights from unstructured data sources. Conduct exploratory data analysis to identify patterns, trends, and correlations within large datasets. Support data cleansing, preprocessing, and feature engineering tasks to ensure data quality and relevance for analysis. Communicate findings and insights effectively through visualizations, reports, and presentations. Stay updated on industry trends, best practices, and emerging technologies in data science and analytics. Required Knowledge, Skills and Abilities: Must be enrolled in a Bachelors (as a rising Sophomore, Junior, or Senior) or Master's program in Statistics, Data Science, Mathematics, Computer Science or a related field Solid understanding of data science concepts and techniques, including machine learning, statistical analysis, and data visualization. Proficiency in programming languages such as Python or R for data manipulation and analysis. Familiarity with data manipulation libraries (e.g., pandas, NumPy), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and data visualization tools (e.g., Matplotlib, Seaborn, Plotly). Strong analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Prior experience or coursework in finance, economics, or related fields is a plus. Working Conditions: Professional office environment, daytime hours, working inside, standing, and sitting, will be assigned to a workstation. Location: This is a remote position. Work Schedule: This is a part-time internship during the spring semester. The intern will be able to work up to 20 hours per week. Duration: The internship will be 10 weeks long. We are looking for an intern to start with us during the 2026 Summer session. Benefits: Mercer Advisors offers a competitive and robust benefit package to our employees. Our benefit programs are focused on meeting all of our employees and their eligible dependents health and welfare needs. We offer the following: Company Paid Basic Life & AD&D Insurance Company Paid Short-Term and Long-Term Disability Insurance Supplemental Life & AD Short-Term Disability; Accident; Critical Illness; and Hospital Indemnity Insurance Three medical plans offerings including two High Deductible Health Plans and a Traditional Co-Pay medical plan. Health Savings Account (HSA) with company contributions on a per pay period basis if enrolled in either HDHP medical plan. Two comprehensive Dental Plans Vision Insurance Plan Dependent Care Savings Account for child and dependent care. 14 Company Paid Holidays with a full week off at Thanksgiving. Generous paid time off program for vacation and sick days Employee Assistance Plan Family Medical Leave Paid Parental Leave (6 weeks) Maternity benefits utilizing company paid STD, any supplemental STD, plus Parental Leave (6 weeks) to provide time for recovery, baby bonding, and enjoying your family time. Adoption Assistance Reimbursement Program Company Paid Concierge Services for you and your loved ones for the spectrum of caring needs for your aging parents, young children, life's challenges and more. 401(k) Retirement Plan with both Traditional and Roth plans with per pay period match Pet Insurance We are not accepting unsolicited resumes from agencies and/or search firms for this job posting. Mercer Advisors provides equal employment opportunity to all applicants and employees without regard to age, color, disability, gender, marital status, national origin, race, religion, sexual orientation, gender identity and expression, physical or mental disability, genetic predisposition or carrier status, or any other characteristic protected by law in accordance with all applicable federal, state, and local laws. Mercer Advisors provides equal employment opportunity in all aspects of employment and employee relations, including recruitment, hiring, training and development, promotion, transfer, demotion, termination, layoff, compensation, benefits, and all other terms, conditions, and privileges of employment in accordance with applicable federal, state, and local laws. If you need an accommodation seeking employment with Mercer Advisors, please email *****************************. This email is for accommodation requests only. Accommodations are made on a case-by-case basis. Applicants have rights under federal employment laws: Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act (EPPA) Equal Employment Opportunity (EEO) U.S. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Mercer Advisors participate in E-Verify to confirm work authorization. E-Verify Right to Work If you are a resident of California, learn more about Mercer's California Consumer Privacy Policy here. CCPA Notice at Collection

About the job Junior Data Analyst (Remote) 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 High School/GED AND two years of Administrative support experience OR Equivalent education/experience. 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. Working Place: New York City, NY

Junior Data Analyst Arsenault is hiring a Junior Data Analyst (Remote) for our NY headquarters. We are seeking exceptional entry-level talent for this role. Desired Skillsets: Willing to provide on the job training Must be a quick learner Skills used in the role: SQL (80% of day) Stored Procedures Ad Hoc Analysis Data Exploration / Cleaning PBI Excel Day-to-day work description: Exploratory Data Analysis Data Cleansing Writing SQL Scripts for Data Warehousing Report Making Ad Hoc Business Analysis ETL writing Live Dashboard creation to support Operations and Executive Decision Making Job fit: Capable of Deep Work Problem Solver Reliable, consistent Attention to detail What We Offer to You: Competitive pay (DOE), including additional target compensation Opportunity to work and grow your career in a fast-paced environment Medical, Dental, Vision Insurance (90% coverage for you and codependents) Life Insurance Flexible spending account Paid time off Vision insurance 401k Open and friendly, professional office environment Who We Are: We have helped thousands of patients take back their lives from mental illness with specialized clinical expertise and the foremost cutting-edge technology available in mental health today. Arsenaults approach to treating mental illnesses is to offer holistic options and treat the whole person by providing an atmosphere of positivity, support, and healing in an outpatient setting. We believe people should live their best lives, and mental health is a substantial segment of total well-being. We bring the same passion we have for improving our patients lives to providing a work experience that will help you do your best work, enjoy the time you invest at work, and succeed in life outside of work. We take our people and culture seriously and make it a priority to invest in both.

supports and performs intermediate level technical work, analysis, research, reporting, data governance and related activities associated with supporting the TFS Scheduling team. Specifically, will focus on supporting efforts associated with planning, scheduling, tracking, and resource forecasting for all maintenance, restoration, and capital project activities to ensure the safe and reliable operation of the Transmission System. Essential Job Functions: Develop, review, and present statistical reports related to work scheduling and adherence, crew utilization, KPIs, etc. Participate in special assignments such as process improvement efforts, standards development, scheduling tool implementation, etc. Develop and provide consistent capital project tracking reports Investigate data irregularities and provide feedback to the Work Run IBM Cognos reports to update resource models with time, labor, dates, etc.. Assist with establishing parameters for measureable data and data validation Gain access and be proficient in researching and pulling data from iTOA, IPS, P6, Ecosys, etc. Collaborate with and provide technical support, as necessary, to TFS work scheduling team Support the development of work scheduling practices and procedures to ensure consistency within the group Education Requirement/Experience: Technical degree and/or Associate Business degree with 2 years of experience in the utility industry preferred A high school diploma or equivalent and 4 years of related utility industry work experience. Additional Requirements: Proficient with Excel, MS Office Tools, SharePoint. Experience with IPS, IBM Cognos, Primavera, PowerBI preferred Able to organize and summarize data Skillful in developing detailed KPI, metrics, and progress reports Must be self-motivated, a good communicator and team focused individual!

We are seeking an ambitious, self-starter to join our team as a Data Analyst Intern. You will be responsible for collecting, analyzing, and reporting on client data. This is a unique opportunity to gain invaluable experience working directly with the senior management to build out the Portfolio Optimization department in a rapidly growing company. Successful interns are given a clear path to full time employment postgraduation. Responsibilities Capture, clean and prepare data and ancillary documents for analysis Analyze and present data and due diligence findings internally and externally Organize and store data and documents to be readily accessed Assist in project management, including engagement strategy, client interactions, planning and scheduling, and tracking deliverables. Continuously improve and automate current processes to perform better analysis and more engagements. Requirements Enrolled full-time or graduated from a major university with a focus on data analytics. Excellent analytical and communication skills, with extensive knowledge of excel. Hardworking and dedicated, with ability to take direction and absorb information quickly. Benefits Work from Here We have the best of both worlds. Our team members have embraced remote work and our Work from home program allows for remote working and the utmost flexibility while keeping in person collaborating thriving in a safe work environment. Our Work from Here approach gives team members a choice to work on campus or remote, leaders can hold in person or virtual team meetings to collaborate and cultivate relationships. We celebrate diversity, equality, and an inclusive environment. We are committed to providing an environment of mutual respect where equal employment opportunities are extended to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. All aspects of employment are decided on the basis of qualifications, competence, merit, and business needs. We are proud to be an equal opportunity employer.

About Us Scaler helps pave the way for a net-zero carbon future in the real estate market. Our innovative sustainability software tools empower real estate investors with the insights needed to enhance asset performance and reduce environmental impact. Role Overview Scaler is seeking a detail-oriented and motivated Data & Insights Intern to support our data management and analytics efforts. In this role, you'll work closely with our team to organize and analyze sustainability-related data within our platform-helping ensure accuracy, efficiency, and real-world impact for our clients in the real estate sector. This is a great opportunity for someone with strong analytical skills, a keen eye for detail, and an interest in sustainability, real estate, and technology. Responsibilities: Assist in managing and maintaining large datasets related to sustainability reporting and real estate performance. Ensure accurate data entry, validation, and organization within Scaler's sustainability platform. Support sustainability data collection, workflow optimization, and insights generation. Collaborate with internal teams to maintain data integrity and drive process improvements. Research real estate sustainability trends and assist in preparing internal reports and presentations. Contribute to the development of onboarding materials, documentation, and internal resources. Requirements: Currently pursuing or recently completed a Bachelor's degree in Business,Sustainability, Finance, or a related field. Strong proficiency in Microsoft Excel Excellent analytical and organizational skills Strong written and verbal communication skills. Ability to work independently and in a team-oriented environment Benefits We offer a hybrid work policy: 2 days working from home and 3 days in-office each week Opportunities to work closely with founders and leadership, providing mentorship and a deep understanding of startup operations. Work closely with a diverse and passionate team that values innovation, creativity, and problem-solving Why Scaler? When you join Scaler, you will collaborate with a team of curious, sharp, supportive, and genuinely enthusiastic individuals about Scaler's product and unique value. Our people are committed to making a positive impact on our customers' journey to achieving absolute zero carbon. At Scaler, we're committed to building a workplace where everyone belongs. Employment opportunities are open to all, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other characteristic protected by law

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly - work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 350 hr. per single study sessions up to $3,000 per multi-session studies We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: * 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards * 2021 Most Innovative Companies - presented by Fast Company * 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE We are seeking a highly motivated Business Analyst Intern to join our team. This intern will play an integral role in supporting our efforts to refine workflows, analyze data, and help teams execute efficiently. This role combines elements of strategy development, data analysis, and client implementation support-offering you hands-on experience in executing projects at scale. To be considered, you must be able to commit to a 10-week hybrid internship and work 40 hours per week during our summer program Key Responsibilities: * Support the collection and analysis of client and operational data to ensure that client migrations are smooth, aligned with project timelines, and well-resourced. * Analyze gaps in client readiness for migration and provide recommendations to improve conversion success rates. * Create dashboards and visualizations to track migration progress and client statuses throughout the onboarding process. * Coordinate and communicate with internal teams to gather requirements, resolve bottlenecks, and streamline the migration process. * Work closely with client-facing teams to understand challenges in the migration process and proactively suggest solutions to mitigate risks. Education and Experience: * Currently pursuing or recently completed a degree in Business Administration, Data Analytics, Information Technology, or a related field. * Senior standing, May 2027 graduate * Strong analytical skills and attention to detail, with experience in data analysis. * Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms. * Basic understanding of platform services and metrics creation is a plus. * Excellent communication and teamwork skills for cross-functional collaboration. * Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. * General interest in Fintech. Work Environment: * This internship operates in an office environment. * This internship operates on a hybrid schedule in Austin, TX, Chicago, IL, Dallas, TX, and New York City, NY Salary: * $25 per hour. #LI-DNI Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS , we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. Salary Range $0-$50 The annual base salary range for this position is noted above. Exact compensation offered may vary depending on job-related knowledge, skills, experience, and office location. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.