Data analyst internship jobs in South Orange Village, NJ

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

Title: AWS Data Analyst Duration: 6+ Months (with extension) Rate: $50-51/hour on W2 The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Required: Bachelor's degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles Proficiency in SQL, Python, or Scala for data transformation and processing. Working Knowledge of AWS services Proven experience in data analysis, business intelligence, or related roles. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills Ability to work independently and collaboratively in a fast-paced environment. Key Responsibilities Extract, clean, and analyze large datasets from multiple sources. Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. Develop and maintain dashboards and reports for business stakeholders. Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. Collaborate with cross-functional teams to understand data requirements and provide actionable insights. Ensure data integrity, consistency, and security across various databases. Identify trends, anomalies, and opportunities in data to drive business decisions.

Manager, SAP Public Cloud Data Salary Range: $135,000 - $218,000 Introduction We're seeking an experienced SAP data conversion leader to join a rapidly growing Advisory practice at a leading professional services firm. This role is perfect for a strategic thinker who thrives on complex data challenges and wants to make a significant impact on large-scale SAP S/4HANA Public Cloud implementations. You'll lead the entire data conversion workstream, develop innovative solutions, and mentor teams while working with enterprise clients on their digital transformation journeys. If you're looking for a firm that prioritizes professional growth, offers world-class training, and values collaboration, this is an exceptional opportunity to advance your career. Required Skills & Qualifications Minimum 5 years of experience in SAP data conversion and governance Must have experience for a Big 4 At least one full lifecycle SAP S/4HANA Public Cloud implementation with direct involvement in scoping and designing the data workstream during the sales pursuit phase Bachelor's degree from an accredited college or university in an appropriate field Proven expertise in developing and executing end-to-end data conversion strategies, including legacy landscape assessment, source-to-target mapping, and data governance framework design Demonstrated success managing complete data conversion workstreams within large-scale SAP programs, including planning, risk mitigation, issue resolution, and budget oversight Strong technical command of data architecture principles with hands-on experience designing ETL pipelines and leading full data migration lifecycles from mock cycles through final cutover Ability to travel 50-80% Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future Preferred Skills & Qualifications Experience with SAP BTP (Business Technology Platform) and Datasphere for data orchestration Track record of developing reusable ETL templates, automation scripts, and governance accelerators Experience supporting sales pursuits by providing data conversion scope, solution design, and pricing input Strong leadership and mentoring capabilities with data-focused teams Day-to-Day Responsibilities Develop and own comprehensive data conversion strategies, assessing legacy landscapes, defining source-to-target mapping, establishing cleansing protocols, and designing data governance frameworks Lead the data conversion workstream within SAP S/4HANA programs, managing project plans, budgets, and financials while proactively identifying and resolving risks and issues Design and oversee data conversion architecture, including ETL pipelines, staging strategies, and validation protocols Execute hands-on the full data conversion lifecycle, including ETL design, multiple mock cycles, data validation, and final cutover, ensuring alignment with program milestones Support pursuit directors during sales cycles by providing expert input into data conversion scope, solution design, and pricing Lead and mentor data conversion teams by assigning tasks, managing delivery quality, and fostering a collaborative culture Drive efficiency through the development of reusable templates and automation accelerators for future projects Company Benefits & Culture Comprehensive, competitive benefits package including medical, dental, and vision coverage 401(k) plans with company contributions Disability and life insurance Robust personal well-being benefits supporting mental health Personal Time Off based on job classification and years of service Two annual breaks where PTO is not required (year-end and July 4th holiday period) World-class training facility and leading market tools Continuous learning and career development opportunities Collaborative, team-driven culture where you can be your whole self Fast-growing practice with abundant advancement opportunities Note: This position does not offer visa sponsorship (H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). #TECH

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

The Data Analyst will join the Knowledge & Innovation group and serve as a key contributor to the development and deployment of data and AI-driven solutions. This role focuses on applying analytics, machine learning, and large language models to deliver insights that support both legal teams and business functions. Working closely with cross-functional stakeholders and technology partners, the Data Analyst will help design and implement modern data solutions that improve efficiency, elevate internal client service, and support informed decision-making. This position offers the opportunity to help shape how advanced data and AI capabilities are adopted within a leading legal organization. Key Responsibilities Partner with attorneys, practice teams, and business stakeholders to understand challenges and identify opportunities for data- and AI-enabled process improvements. Convert complex legal concepts and workflows into clearly defined data models and AI applications. Architect, develop, and support scalable data pipelines and analytics platforms that power reporting, business intelligence, and AI initiatives. Perform data analysis and modeling using tools such as SQL, Python, R, and related technologies to uncover trends and insights. Work alongside internal technology teams to enhance and maintain core data assets, including databases and data warehouses. Build processes and tools that transform raw data into accessible, intuitive datasets that support self-service reporting and analytics. Leverage advanced analytical techniques, including machine learning and natural language processing, to identify patterns, relationships, and predictive insights. Create and deploy analytical solutions for a range of use cases, including text analysis, forecasting, and trend analysis. Develop, test, and optimize prompts for large language models to support legal research, drafting, and knowledge management workflows. Deliver end-to-end data and AI solutions, from initial concept and prototyping through production implementation. Monitor emerging trends in data science and artificial intelligence, incorporating new methodologies and technologies where they add value. Skills & Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, or a related discipline required Advanced degree preferred, particularly with a focus on deep learning, NLP, or information retrieval At least 3 years of relevant professional experience, including a minimum of 2 years in data engineering and/or data science roles Demonstrated experience in data engineering, analytics, and data modeling Strong command of Python, R, and SQL Practical experience with machine learning, NLP, and data visualization tools Ability to clearly communicate technical concepts to non-technical audiences Prior experience in a legal, consulting, or professional services environment is a plus

Job Title: Data Governance Lead - Data Architecture & Governance Employment Type: Full-Time Base Salary: $220K to $250K (based on experience) + Bonus is eligible for medical, dental, vision About the Role: We are seeking an Experienced Data Governance Lead to join a dynamic data and analytics team in New York. This role will design and oversee the organization's data governance framework, stewardship model, and data quality approach across financial services business lines, ensuring trusted and well-defined data for reporting and analytics across Databricks lakehouse, CRM, management reporting, data science teams, and GenAI initiatives. Primary Responsibilities: Design, implement, and refine enterprise-wide data governance framework, including policies, standards, and roles for data ownership and stewardship. Lead the design of data quality monitoring, dashboards, reporting, and exception-handling processes, coordinating remediation with stewards and technology teams. Drive communication and change management for governance policies and standards, making them practical and understandable for business stakeholders. Define governance processes for critical data domains (e.g., companies, contacts, funds, deals, clients, sponsors) to ensure consistency, compliance, and business value. Identify and onboard business data owners and stewards across business teams. Partner with Data Solution Architects and business stakeholders to align definitions, semantics, and survivorship rules, including support for DealCloud implementations. Define and prioritize data quality rules and metrics for key data domains. Develop training and onboarding materials for stewards and users to reinforce governance practices and improve reporting, risk management, and analytics outcomes. Qualifications: 6-8 years in data governance, data management, or related roles, preferably within financial services. Strong understanding of data governance concepts, including stewardship models, data quality management, and issue-resolution processes. Familiarity with CRM or deal management platforms (e.g., DealCloud, Salesforce) and modern data platforms (e.g., Databricks or similar). Proficiency in SQL for data investigation, ad hoc analysis, and validation of data quality rules. Comfortable working with Databricks, Jupyter notebooks, Excel, and BI tools. Python skills for automation, data wrangling, profiling, and validation are strongly preferred. Exposure to investment banking, equities, or private markets data is a plus. Excellent written and verbal communication skills with the ability to lead cross-functional discussions and influence senior stakeholders. Highly organized, proactive, and able to balance strategic governance framework design with hands-on execution.

We're Par Health, the essential pharmaceutical company, making quality generic medicines people can count on-leading with excellence and committed to those we serve. With 4,000 team members worldwide, our reputation is built on reliability, compliance, and service-because patients depend on it. With approximately 80 product families, our broad product portfolio spans multiple therapeutic areas, dosage forms and delivery technologies, including oral solids, liquids, sprays, patches, and more designed to meet the needs of patients and healthcare providers. From everyday medicines to specialized care, we're here to advance better health. Job Description The Market Research and Insights Sr. Analyst plays a critical role in driving evidence-based decision-making through robust primary market research and actionable insights. This individual will lead the end-to-end execution of qualitative and quantitative primary research projects to inform marketing strategies, assess promotional effectiveness, and shape brand positioning. While the primary focus of this role is primary market research, the position also involves integrating secondary data analytics to strengthen insights and business recommendations. The ideal candidate is a hands-on researcher with strong analytical capabilities, exceptional attention to detail, and a proven ability to transform raw data into compelling visual narratives. This role requires expertise in data analysis, survey design and storytelling Experience working at a market research supplier or agency is strongly preferred. Prior experience in pharmaceutical marketing and market research is also highly desirable. Key Responsibilities Lead Primary Market Research: Support the design and execution of qualitative and quantitative research projects, collaborating on study design, coordinating with external partners, assisting with fieldwork monitoring, and contributing to data analysis and insight development. Research Solution Development: Responsible for collaborating on the developing the research approach and selection of external research partners. Assist in drafting research instruments that address key business questions and support clarity, flow, and data integrity. Data Analysis: Analyze raw data using Excel and cross-tabulations to uncover patterns, drivers, and actionable insights. Perform and oversee open-ended survey question analysis. Reporting and Storytelling: Create visually compelling PowerPoint reports that highlight key findings, write strong headlines for slides, and clearly connect insights to business implications. Translate complex data into simple, impactful narratives that drive strategic decisions Vendor Management: Assist in coordinating with external research partners, supporting adherence to project timelines, methodological requirements, and quality standards. Partner with internal stakeholders to monitor project progress and budget considerations. Secondary Data Analytics (as needed): Integrate findings from syndicated sources, competitive intelligence, and internal performance data to complement primary research and strengthen insight generation. Qualifications Education Bachelor's degree required. Advanced degrees in Business, Marketing Research, Economics, Statistics, Psychology, Sociology, Anthropology or other Social Science-related discipline is a plus. Experience Minimum 3-5 years of hands-on experience conducting primary market research (qualitative and quantitative). At least 2 years in a supplier-side or market research agency environment preferred. Minimum of 2 years of demonstrated experience designing & executing analyses, as well as delivering insights related to one or more of the following: Primary Market Research to inform marketing strategies and tactics. Segmentation & Targeting Proven ability to perform and oversee identifying key themes, sentiments, and emerging market trends from qualitative data. Demonstrated success in cross-functional collaboration, partnering with marketing, analytics, sales, and commercial teams to define research needs, align on objectives, and translate insights into actionable business strategies. Prior pharmaceutical industry experience supporting marketing or commercial functions preferred. Proven track record in survey design, data analysis, and report development using Excel and PowerPoint. Technical Skills Strong proficiency and working knowledge of MS Office products Familiarity with market research software and tools (e.g., Qualtrics, SurveyMonkey, Decipher, or similar platforms) is a plus. Core Competencies Strategic thinker with the ability to connect insights to business priorities. Exceptional written and verbal communication skills, including the ability to present findings to senior leadership. Detail-oriented with strong project management skills and the ability to manage multiple priorities simultaneously. Demonstrated ability to influence stakeholders and drive alignment through data-driven insights. Self-motivated, intellectually curious, and proactive in identifying opportunities to improve research processes and outputs. Additional Information Travel: Up to 10% of domestic travel may be required for research activities or business meetings. Work Environment: Hybrid work structure with 3 days in-office; flexibility to support virtual and in-person research initiatives.

December 8th-January 31st** Schedule: 25 - 30hrs per week between 5 days a week, Evening Hour Shifts *The shift times, locations, and days of the week will vary depending on when we are able to book these retail spaces. This will include travel to all five boroughs* Required Skills & Experience: User Research project experience (ex: UX research assistants, coordinators, moderators, interns etc). Excellent communication and interpersonal skills. Proficiency in using phones and computers. Strong organizational skills and attention to detail. Ability to help set up camera equipment for the acting sessions. Drivers license and ability to commute to different worksite addresses daily within the bay area for the duration of the project. Job Description: Hiring "User Research Data Collectors" to re-enact different retail scenarios for research purposes around the NY Tri-state area. This is for a consumer electronic research study. The hired individuals will "act" as customers and staff in various settings like coffee shops, grocery stores, and restaurants in the NY boroughs. You must be comfortable signing a consent form to be filmed and recorded. Your voice, face, motions, and bodies will be captured during the protocol. You will need to sign a consent form allowing the captured data to be used in the client's product & service development, and prototyping. You will be asked to help unload camera equipment and Meals will be provided daily for lunch. You must be comfortable commuting to different worksite addresses daily within the bay area for the duration of the project. The position will require local travel around the NY area. 1 specific location per day.

Job Title: Market Risk Business Analyst Duration: 12-18 months Required Pay Scale: 65-68 ***Due to client requirements this role is only open to W2 candidates*** Job Summary: Market Risk experience - Strong SQL - Strong Excel - Strong Data Analysis skills About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: ********************* // ************

Hybrid: Onsite 3 days per week, flexible start / finish times About the Opportunity This high-visibility position sits at the heart of our vendor selection process, transforming complex cost data into clear business recommendations that fuel margin growth and operational efficiency. If you enjoy turning numbers into negotiation power - and want a role that will accelerate your career path in supply-chain finance - read on. Why Join Us Direct line of sight to senior leadership and decision-makers - your insights will shape multimillion-dollar sourcing choices. Competitive base salary, annual performance bonus, robust benefits (medical, dental, vision, 401k with match), and commuter perks. Career-development roadmap with budget for certifications (APICS, CPSM, SQL, or Python) and industry conferences. Collaborative culture that values innovation, data-driven thinking, and continuous improvement. What You'll Do Team with cross-functional stakeholders (finance, merchandising, logistics) to gather data and craft comprehensive proposal packages for prospective suppliers. Evaluate product and freight cost drivers, total landed cost scenarios, and margin impact to benchmark competing bids. Assist strategic-sourcing leadership during price and contract negotiations, providing real-time financial insights. Model alternative sourcing and distribution strategies to recommend the most cost-effective approach under varying demand and inventory scenarios. Develop ad-hoc financial models and dashboards that surface spend trends, savings opportunities, and risk indicators for leadership review. Track realized savings and supply-chain KPIs following award decisions, highlighting areas for continuous improvement. Own the full analytics life-cycle: data wrangling, exploratory and predictive modeling, and visualization for executive-level storytelling. Candidate Profile 1 + years of experience in financial, procurement, or data-analytics roles within distribution, CPG, retail, or related industries. Bachelor's degree in business, Finance, Economics, Supply-Chain Management, Accounting, or a quantitative field (or equivalent experience). Advanced Excel skills (pivot tables, Power Query, VBA a plus) and solid PowerPoint storytelling chops; familiarity with BI tools such as Power BI or Tableau preferred. Working knowledge of SQL or similar query languages and a comfort level with large data sets. Exceptional attention to detail, problem-solving mindset, and ability to manage multiple time-sensitive projects independently. Strong written and verbal communication skills - able to distill complex analytics into clear, persuasive business language. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

About the Company Breckenridge Pharmaceutical develops and markets high-quality, added-value and cost-effective generic drugs in the United States. Our products are developed in the group's own R&D facilities and through strategic partnerships with manufactures from around the world. About the Role The Pricing Analyst plays a crucial role at Breckenridge and the growth of the organization by implementing pricing strategies to maximize revenue and ensure competitive pricing for the company's products across relevant classes of trade. This position requires expertise in pricing analysis, market dynamics and a strong business acumen. The analyst will be responsible for all pricing requests, market launches, ROFRs and all other pricing-related requests and will work with the Senior Manager, Pricing on full-line customer bids. Additionally, this role will collaborate with cross-functional teams including Sales, Supply and other internal stakeholders to drive profitability and market share. Responsibilities Execute pricing strategies aligned with the company's goals and market dynamics. Formulate pricing models and frameworks to optimize revenue. Analyze market trends, competitive landscape and product positioning to determine optimal pricing structures. Conduct thorough pricing analysis to evaluate product profitability, market demand and pricing trends. Identify opportunities for pricing optimization, cost efficiencies and revenue growth. Monitor and assess the impact of pricing decisions on business performance. Utilize pricing analytics tools and methodologies to analyze pricing performance, profitability and market trends. Generate reports, dashboards and presentations to communicate pricing insights to senior leaders and other stakeholders. Perform pricing reviews by Class of Trade to ensure competitiveness at all levels in order to drive additional sales and maximize profits. Perform regular WAC Analyses in order to optimize cash flow. Create and maintain weekly price change impact reports for various internal stakeholders ensuring that changes to the business are properly communicated. Qualifications Bachelor's degree in business administration, marketing, or a related field or equivalent combination of education and prior professional experience. Required Skills 3+ years proven experience in pricing, contracts or commercial operations, within the generic pharmaceuticals industry. In-depth knowledge of the pharmaceutical industry and market dynamics. Demonstrated ability to develop and execute successful pricing strategies. Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights. Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Strong business acumen, financial literacy and budget management skills. Proficiency in MS Office Suite. Highly proficient in MS Excel and MS Access preferred. Detail oriented and capable of managing multiple projects simultaneously. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. Pay range and compensation package At Breckenridge Pharmaceutical, Inc, we're committed to investing in every team member's total well-being, now and in the future. Our benefits programs vary but we offer the following to all BPI team members, regardless of geographic location: Flexible approach to how we work Health benefits and time-off programs Competitive compensation packages The anticipated annual salary for this role is $75,000 - 85,000. Equal Opportunity Statement Breckenridge Pharmaceutical, Inc is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Structure: Unpaid internship. Approximately 20 hours per week In-Person Preferred but optional Hybrid Internship Duration: February 2 to April 26, 2026. Application Deadline: January 16th EOD About Diaza Diaza is one of the fastest-growing soccer brands in the USA, built on resilience, progression, and culture. We work with youth academies, grassroots clubs, semi-pro teams, and professional organizations across the United States and internationally. We are not a traditional sportswear brand. We view marketing as a system rather than a checklist. Our work prioritizes experimentation, learning velocity, and long-term scalability. We believe strong brands are built by people who think critically, understand culture, and are comfortable operating in uncertainty. About The Internship This internship is designed for students who want to understand how a new marketing department is built from the inside. This is not a corporate internship, and it is not task-driven. You will not be given step-by-step instructions for every assignment. Instead, you will be given frameworks, context, and real problems, and you will be expected to test ideas, learn quickly, document outcomes, and improve systems over time. Our internal model is simple: quantity through experimentation quality through intention and defined probability scale when both exist together This internship is built around that mindset. Internship Tracks This program includes multiple tracks - All are in small groups. All interns operate within the same department but focus on different areas. Applicants should indicate which track aligns best with their interests and background. 1. AI Experimentation and Creative Systems Track Foundational Track This is the most unique track and serves as the foundation for the others. This group focuses on testing AI tools within real creative and operational workflows. The goal is not to use AI randomly. The goal is to understand how systems behave, how outputs compound, and how repeatable processes are created. This group works closely together and semi-independently with minimal outside influence by design. What you will work on Experimenting with AI tools in marketing and creative workflows Applying and improving prompt engineering fundamentals Understanding how creative outputs connect to operational systems Documenting experiments, results, and patterns Building repeatable systems instead of one-off outputs Treating results as systems rather than randomness Who this is for Students with engineering, computer science, or technical backgrounds Students with multimedia or creative backgrounds who understand systems thinking Systematic thinkers with clear mental frameworks People who enjoy testing limits and learning through experimentation Cultural awareness is important, especially in soccer, the arts, and creative spaces Minimum basic prompt engineering knowledge is required. 2. PR and Brand Narrative Track This track focuses on shaping how Diaza is understood externally through storytelling, messaging, and narrative consistency. What you will work on Writing and research-driven brand storytelling Press releases, announcements, and brand positioning Connecting teams, jerseys, and moments into a larger narrative Market research across youth, academy, semi-pro, and emerging professional soccer Hybrid AI and human writing workflows Focus on maximum impact with minimal cost and minimal input Identifying underutilized or open digital spaces for brand presence Who this is for Strong writers and researchers Journalism, PR, or communications-focused students People who understand soccer culture beyond elite global clubs Applicants comfortable using AI to accelerate work without losing human tone People who care deeply about long-term brand integrity 3. Social Media+Community Track This track focuses on compounding growth rather than chasing trends. (Asynchronous) What you will work on Managing and engaging Diaza's social community Highlighting teams, players, and people changing the game Pattern recognition across platforms Understanding why content works, not just posting it Iterative testing of engagement strategies Who this is for Culture-fluent applicants Heavy social media users with strong intuition Doomscrolling is encouraged as research People are comfortable with repetition and refinement Not ideal for those seeking constant novelty 4. Content Creation Track High-Level Content Creators Portfolio required. Requirements Professional-grade camera equipment Strong fundamentals or interested in visual storytelling Experience in photography or videography Editing software familiarity is flexible Capture quality prioritized over heavy post-production Every frame must have intention Daily Content Creators Focus Short form and platform native content Working within existing systems to produce volume Experimenting with new content systems to increase output Creativity through constraints Thinking differently without always creating from scratch Quality and intention are expected even at scale Internship Time Structure and Commitment Approximately 20 hours per week Shared schedules within each track No schedule exceptions within a track Live collaboration is required A hybrid structure is allowed In-person participation prioritized Remote participation is considered when value is clearly demonstrated Important Notes This internship is unpaid This is an experimental "startup" environment We do not have all the answers You are expected to learn, test, and build alongside the team If you need full instructions for every task, this may not be the right fit If you want foundational guidance and the freedom to create, this is

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.

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

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: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

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

The ideal candidate is a motivated, organized, and creative individual with experience in the finance industry or familiarity with quantitative hedge funds. Job Responsibilities: Analyze business operations and strategies to identify new opportunities. Identify cost reductions to increase net trading revenue. Research global markets and evaluate new trading opportunities. Implement efficient vendor communication and feedback channels. Identify and negotiate business contracts/deals that promote sustained income. Maintain long term relationship and routine communication with business counterparties. Explore new trading related products, conduct initial analysis of data/infra-applicability. Maintain close communication with internal research team. Qualifications: Bachelor's degree in economics or finance, marketing or communication, social sciences or similar. Previous experience as a business development analyst communication emphasized role in a related industry. Experience in identifying profitable business opportunities and potential trading venues/markets. Proven ability to increase competitiveness and market share. Ability to develop and maintain strong vendor relationships. Exceptional interpersonal and communication skills. Strong ability to gather and analyze information, quickly learn new subject areas, and comprehend complex ideas with ease.