Data science internship jobs in New York

A NY-based financial firm is looking for an experienced SQL Server Data Base Analyst to: Manage the mission-critical production environment of mixed editions of Microsoft SQL Servers Troubleshoot performance issues Actively provide guidance and recommendations on best practices in SQL programming Be on call for overnight jobs Requirements Minimum 8 years of hands-on experience in managing Microsoft SQL Server 2012, 2016, 2019, or 2022, including: Installation and configuration Backup-restore job management Server health, job performance, and resource utilization Monitoring Extensive experience in troubleshooting database issues and monitoring the performance of SQL Agent jobs using tools such as dynamic management views and DBCC commands. Extensive experience in SQL performance tuning, including: Analyzing query plan Stored procedure statistics and index optimization Blocking and deadlock detection Resource governance Extensive experience in: Data replication, Failover and disaster recovery, High availability Familiarity with SQL Server features such as log shipping, database mirroring, and transactional replication. Always-on experience a plus. Keywords: Microsoft SQL Servers, DBA, Performance, Troubleshooting, Data Replication, Database Mirroring Please send resumes to Jim Geiger, jeg@analyticrecruiting.com | For more opportunities, please

Data Governance Analyst Duration: 2 Years (Long-Term Contract) 1. Minimum Candidate Qualifications The candidate must have: a. A minimum of 5 years of experience in data governance. b. 5 years of experience in compiling and computing data using statistical formulas for data analytics and/or statistical studies. c. At least 1 year of experience with Virtual Currency or Cryptocurrency. d. A Bachelor's Degree. e. Proof of eligibility to work in New York State (NYS). 2. Job Description and Required Services Duties include, but are not limited to: Work cross-functionally with various teams to analyze and validate financial call reports and capitalization data. Maintain existing data warehouse workflows, including monitoring data quality and preparing data quality reports for the DFS Virtual Currency Transaction Monitoring Program. Support the Data Steward for the Research & Innovation Division in data governance functions, including data quality, data cataloging, and related data governance activities. Coordinate with data team stakeholders, gather work items, and prepare reports and presentations as needed. Collaborate closely with data stakeholders across the Research & Innovation and Technology Divisions to drive assigned projects and initiatives. Conduct data analysis on datasets and related processes; prepare data definitions, document usage, and develop business requirements. Compile and compute data using statistical formulas for use in statistical studies; may perform model calculations and create charts and graphs for R&I staff. Work with complex datasets to understand issues and recommend solutions and procedures using diverse analytical and statistical approaches. Utilize technical expertise to automate manual processes and reporting. Collaborate with business users and business analysts to develop analytical strategies for integration into various projects. Perform other duties as assigned. Required Skills and Abilities Strong data analysis skills. Proficiency in data visualization. Advanced Excel skills (including advanced formulas, macros, etc.). Expertise in relational database management systems, SQL, Python, and SnowSQL. Experience using GitHub for version control and project management. Experience with data platforms for data quality and metadata management (e.g., Informatica, Collibra, Alation). Experience with modern cloud technologies such as Salesforce and Snowflake. Ability to develop metrics, reports, and presentations. Thanks & Regards Infojini Consulting Website: ********************************** Address: 10015 Old Columbia Road, Suite B 215, Columbia, MD 21046

NYC NY / Hybrid 12+ Months Project - Leveraging Llama to extract cybersecurity insights out of unstructured data from their ticketing system. Must have strong experience with: Llama Python Hadoop MCP Machine Learning (ML) They need a strong developer - using llama and Hadoop (this is where the data sits), experience with MCP. They have various ways to pull the data out of their tickets but want someone who can come in and make recommendations on the best way to do it and then get it done. They have tight timelines. Thanks and Regards! Lavkesh Dwivedi ************************ Amtex System Inc. 28 Liberty Street, 6th Floor | New York, NY - 10005 ************ ********************

About Global Atlantic Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR's powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit *********************** POSITION OVERVIEW The Risk Data Analytics group reports through the Chief Risk Officer and uses industry-leading machine learning and AI techniques and big data tools to develop predictive models for policy-level transactions and human behaviors. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and to assist in forecasting and financial reporting. The group has a unique vantage point into nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. A successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with other teams with functions mentioned above. RESPONSIBILITIES Implementing machine learning and optimization tools Developing supervised and unsupervised machine learning models Assisting with ad hoc data analytics projects Assisting the team on developing its automated data pipeline QUALIFICATIONS Strong academic record in pursuit of a Master's degree in top universities with concentrations and/or interests in Computer Science, Engineering, Mathematics, Economics, Quantitative Finance, or other quantitative fields (minimum 3.6 GPA). Graduating in December of 2026 or May of 2027. Background in a technical or scientific field and at least three years/six semesters of programming experience. Knowledge of Python, data structures, relational databases, statistics, regression, and machine learning are required. Proficiency programming in an environment without AI assistance is required. Knowledge of designing and maintaining an enterprise level database is preferred but not required. Knowledge of high-performance computing, such as PySpark, is preferred but not required. Knowledge of Generative AI and relevant tools, such as AWS SageMaker and LangChain, is preferred but not required. Strong analytical, organizational, and communication (written and verbal) skills. Proactive, detail oriented, and deadline driven; possess excellent documentation and analysis skills. Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic's Intern Salary is determined through an analysis of similar positions in the external labor market. The Intern Salary is based on an annual rate and will be pro-rated for the 10 weeks of employment. Intern Salary is just one component of Global Atlantic's total compensation package for interns. The Intern Salary for this role is $110,000. #LI-JL Privacy Statement Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.

With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 We're looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You'll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. What you'll do: Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: Currently pursuing a Master's degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Ability to connect data analysis to real business problems, in order to impact business performance. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID

Shape your future with a dynamic internship experience at New York Life. We offer opportunities across a variety of exciting businesses, including Actuarial, AI & Data, Finance, Investments, Technology, Underwriting, and more. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey. Program Overview: Launch Your Career in a Technology, Data, and AI-Driven Organization with Purpose and Impact! Join us as a Technology Analyst Summer Intern for an immersive 11-week experience where innovation, collaboration, and real-world impact intersect. As part of our dynamic Technology, Data, AI & Ventures department, you'll gain hands-on exposure to cutting-edge projects that drive our digital transformation, while exploring potential career paths in Technology! Throughout the summer, you'll deepen your technical skills, expand your professional network, and receive mentorship and guidance from experienced professionals and senior leaders. Our program combines meaningful project work with learning and development opportunities designed to prepare you for success beyond graduation. You'll connect with a diverse cohort of interns, collaborate on a team-based capstone project, and contribute to our commitment to social good by participating in our Volunteer for Good initiative. Whether you're building innovative solutions, leveraging AI and automation, or reimagining the future of work, you'll play a vital role in helping us shape what's next in technology. This internship is more than just a summer job-it's a steppingstone toward becoming a future-ready technology professional, with the opportunity to convert to a full-time role after graduation. About the Internship Join us for 11 weeks as a Technology Analyst Intern, where you'll: Work on real-world technology projects that support our business Learn how AI and automation are transforming financial services Collaborate with teams across the company to solve meaningful problems Participate in intern socials, mentorship, and Volunteer for Good community events Engage in a group capstone project with other Technology, AI & Data Interns What You'll Do As a Technology Analyst, you'll: Help redesign processes and document improvements Support product owners with feature development and testing Analyze data and trends to help drive decisions Create dashboards and reports to monitor performance Recommend ways to improve operations using smart technologies What We're Looking For Required: Rising senior or graduate student pursuing a degree in Business, Computer Science, or related field Interest in financial services and emerging technologies like AI Strong communication, analytical, and problem-solving skills Preferred: GPA of 3.2 or higher Experience documenting technical or business requirements Why New York Life We're one of Fortune's World's Most Admired Companies, driven by a mission to serve communities and help people achieve financial security. As an intern, you'll join a collaborative, inclusive culture where innovation is encouraged, and AI is shaping the future of work. Applications reviewed: On a rolling basis Interviews begin: Mid-September To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT). Curious what it's like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn! #Techcampus #LI-CV1 Pay Transparency Salary Range: $30-35/hour + $3,000 housing stipend Overtime eligible: Nonexempt Discretionary bonus eligible: No Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Our Diversity Promise We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of ******************** #Techcampus

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

What is the position? Evercore seeks to hire a Research and Data Analyst for its Strategic, Defense & Shareholder Advisory Team ("SDSA") located in New York, NY. The SDSA team focuses on advising clients with respect to shareholder activism, raid defense, and related situations. Primary Responsibilities: The Analyst will support the Head and COO of the SDSA team and will be responsible for collecting, organizing, and maintaining data on companies, clients, and interactions to support the team's day-to-day activities. This includes managing internal databases, tracking client interactions and key information, and assisting with research and data requests. The Analyst should have a proactive approach to ensure information is accurate, well-organized, and up-to-date. The Analyst will create materials for use in internal meetings and marketing initiatives. The Analyst will also be responsible for coordinating information and events involving external constituents (such as law firms and public company directors) and developing and enhancing firm networks. Specific Qualifications: The Analyst will have strong attention to detail, clear communications style and be proactive, self-directed, creative and resourceful. We are seeking an academically accomplished candidate with the ability to multitask. This position comes with challenging work, an opportunity to work closely with senior leaders, and a demanding environment in a rapidly growing firm. The ideal candidate will have: * One year of professional experience * Strong academic record * An excellent, team-based attitude * Strong work ethic and high energy level * Excellent communication skills (written and verbal) * Proficient in Microsoft Office, specifically PowerPoint and Excel * Exceptional attention to detail * Calm under pressure with a demonstrated track record of successfully managing multiple projects simultaneously * Interest in investment banking, paralegal work, or research/analytical roles encouraged Expected Base Salary Range: $70,000-$90,000 In addition to a competitive base salary, employees may be eligible to receive a discretionary bonus delivered in the form of cash and/or deferred equity. Evercore also offers a variety of benefits and programs, subject to eligibility. These include, but are not limited to: * Medical, prescription, dental, and vision insurance, including healthcare savings and reimbursements accounts * 401(k) Retirement Plan * Life and disability insurance, including additional voluntary financial protection insurance * Well-being resources and programs, including mental health and mindfulness programs, digital wellness platforms, well-being events, and targeted on-site health services * Family-building and family-support benefits * Paid parental, caregiver, marriage and bereavement leave * Commuter benefits, health club membership discounts, and other corporate discounts * Paid holidays, vacation days, personal days, sick days, and volunteer opportunities About Evercore: Evercore (NYSE: EVR) is a premier global independent investment banking advisory firm. We are dedicated to helping our clients achieve superior results through trusted independent and innovative advice on matters of strategic significance to boards of directors, management teams, and shareholders - including mergers and acquisitions, shareholder advisory, restructurings, and capital structure. Evercore also assists clients in raising public, private capital, delivers equity research, equity sales and agency trading execution, in addition to providing wealth and investment management services to high-net-worth individuals. Founded in 1995, the Firm is headquartered in New York and maintains offices and affiliate offices in major financial centers in North America, Europe, the Middle East, and Asia. For more information, please visit ***************** Inclusion and Equal Opportunity Employment: Evercore is an equal employment opportunity employer and does not discriminate against individuals because of actual or perceived race, color, creed, religion, sex, pregnancy, national origin or ancestry, mental or physical disability, age, veteran status, military status, citizenship status, sexual orientation, gender identity or expression, genetic information, or immigration or citizenship status, or any other characteristic protected by applicable law (referred to as "protected status"), in accordance with applicable federal, state and local laws.

We're an audience-management agency obsessed with retention. Through email and SMS, we blend data science, time-tested tactics, and the latest AI tools to help brands maximize customer lifetime value. The Opportunity You'll be the engine behind our reporting and analytics: building and refining dashboards, dissecting campaign performance, and crafting predictive models. You'll translate data into insights for both our clients and internal teams-accelerating campaign ROI, improving deliverability, and elevating every touchpoint. This is a NY based position, requiring 3 days per week in the NY office. What You'll Do: Analyze & advise: Dive into large email, SMS, and eCommerce datasets to surface trends, pinpoint optimization opportunities, and map them back to client goals. Build & iterate: Create self-serve dashboards and advanced Excel models (VLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS) to monitor KPI and uncover trends Predict & prescribe: Develop predictive and clustering models in Python or R to forecast deliverability, engagement, and churn, then turn insights into action plans. Own the analytics workflow: Streamline on-shore and offshore reporting processes, enforce data-governance best practices, and build proofing checklists to guarantee hygiene and accuracy. Leverage AI: Experiment with AI frameworks to automate repetitive tasks, enrich reporting, and turbocharge data-driven decision making. Collaborate & communicate: Present findings and strategic recommendations to cross-functional teams and clients in clear, compelling narratives. Who You Are: You have a deep passion, curiosity, and understanding of advanced data analysis and a strong business sense You are a self-starter, problem solver, resourceful, and are able to work with limited supervision You are flexible and able to manage multiple tasks and deadlines You are a strong verbal and written communicator and excellent collaborator that values building strong relationships with colleagues, clients, and other stakeholders You have the ability to understand complex topics/processes/problems and explain them to your colleagues in simple terms You are customer, results, and solutions oriented Requirements 1+ year in a data analytics role (marketing, e-commerce, or ad agency preferred), or equivalent graduate degree Bachelor's in Computer Science, Statistics, Math, Economics, or similar Expert in Excel and dashboarding platforms (Looker, Tableau, PowerBI) Demonstrated ability to drive insights and recommendations from large datasets Preferred Skills / Experience: Hands-on experience with email-service-provider platforms (e.g., Klaviyo, Listrak) Programming Experience (SQL, Python, R) A/B testing or conversion rate optimization experience Google Analytics + marketing attribution knowledge Coursework or side-projects in data science, machine learning, or AI Benefits Salary range: $65,000 - $75,000 Unlimited PTO policy Fully covered medical, dental and vision insurance 401k with company match

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description General Description: Part of the PepsiCo Quality Program (PQP), global business teams are classifying specifications/ingredients to enable food safety hazard assessment with a focus on FSMA (Food Safety Modernization Act) compliance. The identified resource will support sectors/business units with the mapping exercise as appropriate and coordinate incoming change requests for changes and re-assessments. Keen insights regarding raw materials in the manufacture of food and beverage will enable analysis of scientific research and identification of hazards associated with food materials. Fulfill Data Steward responsibilities in responding to change management of the material classification tool. Act as a point person/clearing house contact as questions arise and address SME teams when needed. Collaborate with business sectors globally to train, update, and communicate application of the classification tool and changes to the tool. Support enhancement of the hazard analysis with internal and external tools and data systems. Support automation project by liaising with database developers. Conduct user acceptance testing. Support accurate and timely mapping of ingredients to the new material classification. Maintain master files and adhere to document control procedures. Support related Food Safety technical services as needed. Qualifications Skills/Qualifications: Certification in or working knowledge of Food Safety and Quality systems Crisis management / recall management experience Additional Information Requirements: Knowledge of food materials and associated biological and chemical hazards and a general understanding of physical, chemical, and biological hazards associated with different categories of food and beverage ingredients. Experience in food safety, microbiology, and/or toxicology is preferred. Exposure to product development, manufacturing, and/or supply quality is also desirable (5+ years). Practical knowledge of food ingredients (how they are grown, cultivated, harvested, processed, distributed) and risk assessment thereof (5+ years) Excellent proficiency with Microsoft Excel; high frequency user experience with database/ product lifecycle management tools (e.g., Product Vision, SAP) (5+ years) Basic understanding of the Food Safety Modernization Act, domestic and international regulatory requirements Influential written and verbal communication skills; excellent organizational skills

Our client is one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, credit, and foreign exchange. The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: A portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher. Responsibilities: Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.) Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes Proactively search for alternative, unstructured data sets with signal potential for corporate credit Requirements: Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline 2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role CPA or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus Some programming skills are a plus (e.g., Python) and a strong self-learner Tenacious, detail-orientated, and organized Strong communication skills Team player, driven and collaborative Thank you for illuminating hiring with Quanta Search! ********************

Data and analytics play critical roles for management in navigating today's complex business environment. This is an beginner level data role within the Macro Quantitative Research (QR) team at JP Morgan. The role offers opportunities to work on a variety of data and quantitative macro trading and sales business problems. The team's mission is to bring data-driven decision making and automation to the Macro business. Job Summary: As an Associate in the Data and Analytics Rates team, you will hold a highly visible position within a specialized group of data analysts. You will need to possess analytical insight, strong data discipline, a solid understanding of technology, robust business acumen, and an entrepreneurial spirit to effectively execute and promote results. Additionally, strong communication skills and the ability to bridge the gap between technology, QR, and business users are essential. Job Responsibilities: • Work with the CEM and Rates Trading, Sales and QR to understand solutions needed to solve business problems • Understand and refine current data architectures to persist critical business data across all business lines • Drive standardization across processes and reporting. Suggest and implement controls to improve efficiency & accuracy of existing processes • Develop and enhance existing key management performance analytics and reporting • Help develop predictive analytics to detect changes in data patterns that may be precursor to changes in our business • Pro-actively drive adoption and rollout of business intelligence tools and data APIs. • Develop and maintain models, methodologies and infrastructure such as data pipelines, and associated visuals needed for data projects • Develop data-driven decision making analytics with demonstrable impact Required qualifications, capabilities, and skills: • Advanced degree in quantitative subject (such as engineering, mathematics, physics) • Demonstrable quantitative, problem solving, research and analytical skills • Solid software development skills • Attention to detail and excellent communication skills, both oral and written Preferred qualifications, capabilities and skills: • Familiarity with kdb, and amazon aws cloud • JPMorgan execution systems and trade booking model knowledge • Markets product knowledge / experience • Dashboard visuals experience such as Tableau • AI / ML experience • Derivatives pricing knowledge

Team: Sales and Marketing Type: Full-time

As a Data Analyst Intern, you will support the company's data-driven decision-making process by analyzing large amounts of data related to consumer behavior, trends and patterns. You will have the opportunity to work with a team of experts and gain valuable insights into the retail industry while developing your skills and knowledge in data analytics. This is a part-time internship position that requires excellent attention to detail, critical thinking and problem solving skills and the ability to work independently in a fast-paced environment. Responsibilities Assist in collecting, cleaning and transforming large data sets from various sources. Analyze and interpret data to identify trends and insights related to consumer behavior, market trends, and sales patterns. Assist in building and maintaining reporting and visualization tools to communicate data insights to key stakeholders. Develop and maintain dashboards, data visualizations, and other reporting solutions. Conduct ad hoc data analysis to support business needs. Collaborate with cross-functional teams to identify opportunities for improvement, provide data-driven insights and recommendations to support strategic decisions. Requirements Currently enrolled in or recently graduated from a Bachelors or Masters degree program Strong analytical and problem-solving skills. Ability to work independently and in a team-oriented environment. Excellent attention to detail and accuracy. Proficient in Microsoft Office Suite, especially Excel and PowerPoint. Familiarity with SQL, Python, or R programming languages. Benefits 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.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Knowledge of financial modeling and valuation techniques Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

About : City Wonders is a dynamic and innovative company. We are committed to excellence and offer exciting opportunities for interns to gain valuable experience in the field of data analysis. Position Overview: Are you a detail-oriented and analytical individual with a passion for data? Wonders is seeking a talented Data Analyst Intern to join our team. This internship provides a unique opportunity to work closely with our data professionals, learn valuable skills, and contribute to meaningful projects. Key Responsibilities: Collaborate with the data team to collect, clean, and analyze data from various sources. Assist in creating and maintaining reports and visualizations to track key metrics. Support data-driven decision-making by providing insights and recommendations. Help maintain data quality and accuracy through regular audits and checks. Learn and apply data analysis tools and techniques. Participate in team meetings and contribute to data-related discussions. Qualifications: Currently pursuing or recently graduated with a degree in Data Science, Statistics, Business Analytics, or a related field. Strong analytical skills and attention to detail. Good communication skills and the ability to work effectively in a team. Eagerness to learn and adapt to new data analysis methodologies. Benefits: Gain practical experience in data analysis within a supportive and collaborative team. Exposure to real-world data and business challenges. Opportunity to build a professional network.

**RWE Clean Energy, LLC** **To start as soon as possible, full time, fixed term** **Functional area:** IT / Digital **Remuneration:** Non-Exempt Digital Solutions is responsible for the development and management of RWE Clean Energy's application and custom software development portfolio. The **Business Analyst Intern** will have the opportunity to work on a transformation initiative in partnership with Clean Energy IT and Business stakeholders. The Intern will support business analysis and project implementation activities within the organization. This position could be involved in several aspects of the product development life cycle including gathering user requirements, designing the application, developing and programming the code, end-to-end testing, deployment and documentation. The applicant must have the ability to perform tasks independently and/or with minimum guidance. **Role Responsibilities:** + Assist in gathering and organizing business requirements from stakeholders and end users through interviews, workshops, and documentation review + Support analysis of existing business models and operations, identifying areas for improvement under guidance + Participate in requirements documentation, drafting user stories, use cases, and basic functional specifications + Support communication and follow-ups during project meetings + Help prepare and deliver presentations and training materials for proposed changes to staff and business teams + Assist in project implementation activities, such as tracking assigned tasks and preparing documentation for third-party resources + Participate in QA and testing efforts, including executing test scripts and documenting results for smaller features or enhancements + Support problem identification and root cause analysis, recommending solutions under supervision + Assist in application management tasks, including user access support, license audits, and maintaining admin guides + Learn to coordinate with vendors on minor upgrades or application support needs, shadowing senior team members **Job Requirements and Experiences:** + Working on a degree in Computer Science, Information Systems or related field + Ability to learn new technologies as required for the job using documentation and other available sources + Ability to handle multiple assignments with changing priorities while meeting deadlines + Strong interpersonal skills, with ability to manage customer relationships + Demonstrated desire to learn about the Company and the renewables space + Excellent proficiency with Microsoft Office suite (Excel, Word, PowerPoint, Outlook, SharePoint, Teams) + Some knowledge of business analysis methodologies, tools, and techniques, such as data flow diagrams, entity-relationship diagrams (ERD), cross functional diagrams, user stories, wireframes, Agile, Scrum, etc. + Strong leadership and communication, and ability to meet deadlines + Strong organization skills and ability to coordinate multiple tasks and deliverables + Motivated self-starter, goal-oriented, and strong problem-solving abilities + Proven ability to empathize, build relationships, and effectively communicate with people from a diverse set of backgrounds at all levels of the organization + Is a team player embracing the spirit of continuous improvement personally and within the team + Is detail-oriented, has strong business acumen, and a sound understanding of business concepts _Applicants must be legally authorized to work in the United States. RWE Clean Energy is unable to sponsor or take over sponsorship of employment visas at this time._ **Pay range:** The base hourly range for this position in New York for undergraduates is $25.00-$35.00 an hour, and for graduates is $30.00--$40.00 The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate's education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer. **Benefits offered:** Paid time off and Holidays. Apply with just a few clicks: ad code 91338. Any questions? Contact HR: rwece_****************** We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. RWE Clean Energy is the third largest renewable energy company in the United States, with a presence in most U.S. states from coast to coast. RWE's team of about 2,000 employees in the U.S. stands ready to help meet the nation's growing energy needs. With its homegrown and fastest-to-market product, RWE supports the goal of American Energy dominance and independence. To that end, RWE Clean Energy is committed to increasing its already strong asset base of over 10 gigawatts of operating wind, solar and battery projects, focusing on providing high-quality jobs. RWE invests in local and rural communities while strengthening domestic manufacturing supporting the renaissance of American industry. This is complemented by RWE's energy trading business. RWE is also a major offtaker of American liquified natural gas (LNG).

Job DescriptionSalary: 24 Common Energy is revolutionizing the energy sector. Our platform enables homeowners and businesses to support new clean energy projects, lower carbon emissions, and save money on their electricity. There is no on-site installation and signing up only takes a few minutes. As such, we are a key part of the solution to mitigate global climate change. Common Energy is backed by one of the countrys leading impact investors. Our board and advisors include executives from across the energy sector, including Google and President Obamas cabinet. Responsibilities: Develop an automated credit allocation system using Python to streamline and enhance efficiency. Optimize data extraction from utility reports and build a centralized database for tracking allocations and key performance metrics. Provide data-driven insights to support cross-functional teams with customer energy allocation analysis. Collaborate across teamsincluding operations, product, and softwareto improve, automate, and scale critical customer processes. Requirements If youre our ideal candidate: You have had at least one relevant data/analysis-focused work experience (full-time or internship) You are pursuing or have completed an MA/MS degree in engineering, science, or a related, data-focused field You are based in New York City Bonus: You have working knowledge of Python in the context of data engineering (or a different language and you are excited to learn Python) Benefits $24/hour during internship period Paid lunch on days in the office Work with the countrys leading experts on renewable energy to save the earth! One mission, one team, no politics

We are passionate about our business and our culture, and are seeking individuals with that same drive. & Company Moelis & Company is a leading global independent investment bank that provides innovative strategic advice and solutions to a diverse client base, including corporations, governments and financial sponsors. The Firm assists its clients in achieving their strategic goals by offering comprehensive integrated financial advisory services across all major industry sectors. Moelis & Company's experienced professionals advise clients on their most critical decisions, including mergers and acquisitions, recapitalizations and restructurings, capital markets transactions, and other corporate finance matters. The Firm serves its clients from 23 locations in North and South America, Europe, the Middle East, Asia and Australia. For further information, please visit: *************** A. Position Summary The AI Business Analyst Summer 2026 Intern will help design and deliver AI solutions that address business needs across the Firm. The role involves gathering and documenting requirements, supporting testing and deployment, and evaluating tools and workflows. The intern will work closely with the AI Business Analyst team in a collaborative environment to interface with bankers and key stakeholder groups. Establishing and maintaining good relationships through strong communication is crucial, as this role involves interacting with bankers, Compliance officers, Business Management professionals, vendors, and Information Technology personnel. A successful candidate should demonstrate the capacity to work independently on specific tasks and exhibit strong proficiency in the following areas: analytical thinking (the ability to analyze and logically organize information), organization, communication (both written and verbal), self-motivation, intellectual curiosity, and attention to detail. B. Essential Functions * Partner with bankers and stakeholders to understand business objectives and identify opportunities for AI and automation that enhance productivity and decision-making. * Elicit, document, and interpret requirements for AI-related projects; present findings and recommendations clearly to guide design and implementation. * Translate business needs into user stories and actionable deliverables that enable engineering and data science teams to build solutions. * Evaluate AI-related solutions to ensure they meet business needs and can scale effectively across the organization. * Collaborate with Business Management, Data Science, Engineering, and external vendors throughout the project lifecycle-from requirements and workflow design to testing, deployment, and ongoing support. C. Characteristics The AI Business Analyst Intern should be a creative, detail-oriented thinker with strong interpersonal and communication skills. They should be able to deliver quality work under time constraints and be comfortable working with multiple teams across the organization. The intern should possess the following knowledge and abilities: * Ability to translate business needs into structured, data-informed insights and technology solutions. * Strong analytical thinking, organization, and customer service orientation. * Sound judgment, intellectual curiosity, and adaptability in a fast-paced environment. * Interest in AI, data analysis, and financial technology applications. D. Skills * Excellent communication, organization, and documentation skills. * Basic knowledge of Business Analysis, Data Analytics, or Quality Assurance. * Ability to analyze business systems and processes to identify user needs and automation opportunities. * Familiarity with generative AI tools, large language models, or automation platforms. * Basic exposure to Python, SQL, and/or other data analytics tools preferred. * Familiarity with User Acceptance Testing. E. Education & Experience Candidates should be self-motivated with a strong desire to contribute to the department and company's success. Currently pursuing a Bachelor's degree in a related field. Complete the Suited assessment. Moelis has partnered with the screening platform Suited to help us better understand internship candidates. Suited uses assessments to holistically and objectively understand what makes you unique. In addition to your academic background and experience, the traits and competencies captured by these assessments are predictive of on-the-job success, while reducing bias in the screening process. To learn more about the assessments, please visit: Resource Guide for Investment Banking Candidates. Hourly Pay: USD $36.00 (NON-EXEMPT) We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.