Data science internship jobs in Plainfield, NJ

Job Title: Data Analyst Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor's degree (prior to starting a master's program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools. Develop dashboards, visualizations, and reports in Tableau to support business insights. Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.). Develop and optimize ETL/ELT pipelines in Snowflake and other data systems. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across multiple environments. Perform ad-hoc analysis and create automated reporting solutions. Document data processes, workflows, and best practices. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field. Must have 5 -7 years of industry experience AFTER completing the bachelor's degree and BEFORE starting any master's program. Strong proficiency in SQL for querying and manipulating large datasets. Advanced skills in Python, including Pandas, NumPy, and data processing libraries. Hands-on experience with AWS services used in data engineering/analytics. Experience working with Snowflake (query optimization, warehouses, schemas, data modeling). Proficiency in Tableau for building dashboards and visual insights. Strong analytical thinking, problem-solving, and communication skills. Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications Master's degree (completed after required 3-5 years of post-bachelor's experience). Experience with Git, Airflow, or other orchestration tools. Knowledge of statistical modeling or machine learning concepts. Familiarity with Agile methodologies. Additional Information W2 only - No C2C, No 1099. Hybrid work model (3 Days onsite). Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: ************ Extn: 207 | Direct: ************ Email: **************** | *************** An E-Verified Compan y

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.

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

Analytical • Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points • Translate findings into clear insights to support product development and UX initiatives Statistical Analysis • Apply core statistical techniques such as: o Hypothesis testing o Regression analysis o Clustering or segmentation logic • Support forecasting and behavioral modeling with guidance from senior analysts Experimentation & A/B Testing • Assist in the setup, monitoring, and analysis of A/B tests and product experiments • Contribute to test design and metric definition in collaboration with product managers • Summarize results and support interpretation of causal impacts with guidance from senior analysts Data Visualization & Communication • Build and maintain dashboards using tools like Dash, Streamlite or Power BI • Present insights in recurring team syncs or product planning sessions • Document analysis and findings in a clear, stakeholder-friendly format This is a 1-3 month contract to hire role.

📌 Hiring: Data Analyst II - Product Operations We're seeking a Data Analyst II to join the Product Operations team, focusing on product reliability, performance insights, and scalable data solutions. What You'll Do Build and maintain ETL pipelines, dashboards, and reporting infrastructure Analyze product data to identify trends, issues, and opportunities Create scalable data models and visualizations Collaborate with cross-functional teams across Operations, Engineering, and Data Present insights to non-technical stakeholders Improve processes and ensure high data quality Must-Have Skills Strong experience with ETL pipeline development Advanced SQL skills Proficiency with Tableau / Power BI / Alteryx Statistical analysis (hypothesis testing, regression, experimentation) Strong communication and presentation skills Nice-to-Haves Experience using AI tools for analysis or model performance measurement Experience working across time zones and diverse teams 📩 Interested candidates can share their resumes for immediate review.

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

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 ************ ********************

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

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.

Industry: Retail Salary: $150,000-$175,000 + Bonus Contact: ******************************** Our client is a prominent player in the Apparel sector, committed to fusing fashion with cutting-edge data and technological solutions. Situated in New York, this organization is on the lookout for a Data Science Manager to drive their Operations Intelligence initiatives within the Data & Analytics department. This critical role is pivotal in leveraging advanced analytics, predictive modeling, and state-of-the-art Generative AI technologies to bolster decision-making across key operational areas such as Planning, Supply Chain, Sourcing, Sales, and Logistics. The selected candidate will oversee the integration of data science methodologies into essential operational workflows, aiming to automate processes, improve visibility, accurately forecast business dynamics, and facilitate strategic planning through insightful data analysis. Requirements A minimum of 6 years of experience in the field of data science, with at least 2 years in a leadership or product-related role. Proven ability to apply analytics in complex operational environments such as planning, supply chain, and sourcing. Strong expertise in Python and SQL, along with a solid grasp of cloud-based data ecosystems. Experience with advanced modeling techniques, including forecasting, optimization, and classification. Familiarity with Generative AI technologies or LLMs, combined with a keen interest in leveraging these for practical business applications. Excellent business acumen and communication skills, facilitating effective collaboration between data insights and strategic goals.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. By catering to both consumers and businesses, we're powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing. Make your mark We are hiring Data Analyst Interns to join us for Summer 2026. As a member of the Analytics team, you will develop questions, conduct exploratory analyses, build data models in our data warehouse, and create dashboards in Looker and Mixpanel. Over twelve weeks, you'll work closely with Business, Product, Design, and UX stakeholders, gaining experience with the fast-paced live events industry. Above all, you will develop a deep understanding of SeatGeek's business and help ensure that that understanding is at the heart of our forward-looking strategy. This is a 12-week summer Internship Program with a hybrid work style. You will be expected to be on-site 50% of the week at our corporate office in NYC. What you'll do Develop expertise in core Analytics competencies, including exploratory data analysis, insight generation, reporting, KPI definition, and A/B testing Leverage first-class tooling - including Redshift and dbt - to build and maintain key “end-to-end” data models for stakeholders from production through to our Business Intelligence tool, Looker Communicate key learnings and recommendations to stakeholders in a manner that productively influences decision-making Work with senior members of the Data Team to develop and execute business stakeholder roadmaps Evangelize data expertise, best practices, and documentation within the Data team and in collaboration with our business partners What you have You are a currently enrolled college student set to graduate in the Spring/Summer of 2027, ideally studying economics, psychology, computer science, statistics, mathematics, or another quantitative discipline Experience using SQL Solid business acumen Strong collaboration skills and familiarity with using data points to build a narrative to guide business strategy and inform decisions Experience building reports within a business intelligence tool is a plus Perks $120 a month to spend on tickets to live events Monthly commuter card for transportation Subscription to Headspace Free lunch & snacks is provided every day in the office Weekly planned events like comedy/broadway shows, sports games, museum visits and more Housing stipend **Please note you are expected to come into the SeatGeek New York City Office at least 3 days a week** The compensation for this role is $45/hour USD (based on a 40 hour work week). SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here.

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. We are currently seeking a Precision Medicine, Biological Data Intern from June 2026 - May 2027. This part-time position works for approximately 20 hours per week. Responsibilities: Project: Integrated Knowledgebase for Genomics Insights into Topoisomerase I inhibitor-Based Antibody-Drug Conjugates (ADCs) Antibody-drug conjugates (ADCs) using topoisomerase I inhibitor payloads (DXd series) have demonstrated significant clinical success across multiple tumor types. However, diverse and multifaceted mechanisms of resistance contribute to heterogenous patient responses. These resistance mechanisms include (i) antigen loss (ii) reduced internalization (iii) increased clearance of payload (iv) alterations in payload target and (v) upregulation of anti-apoptotic proteins. Understanding of resistance mechanisms that affect each step of ADC MoA is crucial to stratify patient populations with a better clinical outcome and identify rational combination strategies to overcome resistance. We propose to develop an Integrated ADC Genomics Knowledgebase that systematically aggregates, curates, and harmonizes experimental findings from multi-omics studies and CRISPR screens spanning distinct ADC MoA steps. This centralized resource will accelerate hypothesis generation, biomarker discovery, and cross-program learning within the ADC portfolio. Scientific Scope The knowledgebase will focus on topoisomerase I inhibitor payload ADCs and organize findings according to key mechanistic stages of ADC action Data Sources and Integration The resource will integrate data from both public and internal sources using standardized identifiers and metadata fields. Data Sources * Public databases: DepMap, CCLE, GEO, ArrayExpress, PubMed * Internal datasets: preclinical ADC and biomarker studies * Literature-derived results via NLP-based text mining Integration workflow * Data Search: Create comprehensive list of relevant studies and datasets * Data Processing and Curation: Develop processing pipelines for omics data and standardize metadata. * Knowledge Integration: Create relational schema linking genes, pathways, functional assays, resources etc. * Meta analysis: Identify consistent signatures associated with sensitivity or resistance * Data Visualization: Build interactive dashboards (Shiny/Streamlit) for visualization and analytics. Expected Outcomes Centralized resource for ADC mechanism, cross-program learning, biomarker hypothesis identification or validation. Responsibilities * Aggregate and analyze large-scale RNA-seq, CRISPR, and proteomics datasets relevant to ADC MoAs. * Conduct meta-analysis to identify consistent mechanisms across different studies and datatypes. * Collaborate with translational scientists to interpret biological insights and MoA connections. * Contribute to the creation of curated gene and pathway summaries for knowledgebase ingestion. Qualifications: * Enrolled in Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or related field (2nd year onwards preferred). * Strong experience with R/Bioconductor. * Familiarity with public datasets (DepMap, CCLE, GEO, TCGA, MSigDB, Reactome). * Knowledge of multi-omics integration, enrichment analysis, and data harmonization. * Experience with oncology or ADC-related biology preferred. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: $17.23 - $58.15 Download Our Benefits Summary PDF

Job Description DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role At DataCamp, we're looking for a curious, analytical, and impact-driven individual who thrives in a fast-paced, high-performing environment. You'll create a data product that will help DataCamp's customer and prospects. In this role, you'll collect and analyze data from multiple sources, then publish the results as an interactive web application. Along the way, you'll publish your intermediate results in blog posts. If you're someone who's data-driven, takes ownership, and loves solving complex problems with creativity and rigor, we'd love for you to join us. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets-you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Conduct data collection and research across multiple sources to support analytical projects. Identify, extract, and integrate relevant datasets from internal and external APIs. Perform web scraping and automate data-gathering processes where applicable. Clean, organize, and validate raw data to ensure accuracy and consistency. Analyze quantitative data to uncover trends, insights, and opportunities. Summarize findings into clear reports, and interactive web applications. Support the creation of blog posts or articles by contributing data-driven insights and visual content. Qualifications Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science Comfortable working with data - collecting, cleaning, and analyzing it. Able to write code for data analysis and web application development (with AI-assistance). Strong analytical and problem-solving skills with a keen eye for detail. Excellent written and verbal communication skills, with an interest in data storytelling. At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great

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.

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.

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.

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