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Virtual Quant Research Internships Jobs in Michigan

Strong analytical, quantitative, problem-solving, and data organization skills. * Proficiency in ... Internship or early-career experience involving data analysis, reporting, forecasting, inventory ...

... research providers. * Analyze sales trends, customer activity, product performance, market ... Strong analytical, quantitative, problem-solving, and data organization skills. * Proficiency in ...

MI · On-site

$53.25 - $64/hr

The pharmacist participates in training pharmacy interns and externs in each of the pharmacy ... Coordinates the dispensing of unit dose, intravenous admixtures, investigational and research drugs ...

Accountant-(FMS-SDP)

Troy, MI · On-site

$70K - $80K/yr

Reconcile participant budget activity and research discrepancies. * Assist participants and ... Comfortable participating in virtual meetings and presenting budget information. * Strong ...

Marketing Coordinator

Detroit, MI · On-site

$60K - $75K/yr

We help our partners create spaces and content that blur the lines of real and virtual across three ... Conduct research on behalf of the venue marketing team, such as gathering information on ...

Showing results 41-60

Virtual Quant Research Internships information

What is a virtual quant research internship?

Virtual Quant Research Internships are remote internship programs where students or recent graduates work on quantitative research projects, often in finance, data science, or technology sectors. Interns typically analyze large datasets, develop mathematical models, and use programming skills to solve real-world problems, all while collaborating with teams online. These internships provide valuable hands-on experience in quantitative analysis and research methods, as well as exposure to industry-standard tools and practices. They are ideal for individuals seeking flexibility and practical experience without relocating.

What skills and qualifications are needed to thrive as a virtual quant research intern?

To thrive as a Virtual Quant Research Intern, you need a strong background in mathematics, statistics, and programming—usually supported by coursework in quantitative fields like mathematics, finance, or computer science. Familiarity with programming languages such as Python, R, or MATLAB, and experience with statistical analysis tools or data visualization libraries, are typically expected. Analytical thinking, problem-solving, and effective remote communication skills help set candidates apart. These abilities are crucial for successfully conducting quantitative research, producing actionable insights, and collaborating with remote teams in a virtual environment.

What are common challenges faced by virtual quant research interns, and how can they be addressed?

Virtual Quant Research Interns often encounter challenges such as limited access to real-time collaboration, difficulty in understanding complex quantitative concepts without in-person guidance, and managing independent research projects remotely. To address these challenges, it's important to proactively communicate with mentors, participate in virtual team meetings, and utilize collaborative tools like shared code repositories and video conferencing. Setting clear goals and regularly seeking feedback can also help interns stay engaged and ensure progress, even in a remote environment.

What is the difference between Virtual Quant Research Internships vs Virtual Data Analyst Internships?

AspectVirtual Quant Research InternshipsVirtual Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften pursuing degrees in statistics, data science, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksCorporations, consulting firms, or tech companies
Employer & Industry UsageUsed mainly in finance and investment industriesCommon across various industries including tech, marketing, and finance
Search & Comparison IntentFocus on finance, quantitative research, and investment analysisFocus on data analysis, reporting, and business insights

Virtual Quant Research Internships primarily target students interested in finance and quantitative analysis within investment firms, while Virtual Data Analyst Internships are broader, covering various industries and emphasizing data interpretation and reporting. Both roles require strong analytical skills but differ in industry focus and typical employer types.

What are the most commonly searched types of Quant Research Internships jobs in Michigan?

The most popular types of Quant Research Internships jobs in Michigan are:

What are popular job titles related to Virtual Quant Research Internships jobs in Michigan?

For Virtual Quant Research Internships jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Virtual Quant Research Internships jobs in Michigan look for?

The top searched job categories for Virtual Quant Research Internships jobs in Michigan are:

What cities in Michigan are hiring for Virtual Quant Research Internships jobs?

Cities in Michigan with the most Virtual Quant Research Internships job openings:

Sales Planning Manager

Daikin

Grand Rapids, MI • On-site

Full-time

Re-posted 6 days ago


Daikin rating

7.6

Company rating: 7.6 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

250th of 493 rated machine equipment manufacturers


Job description

The Sales Planning Manager supports Williams Distributing's sales planning and business management activities through data analysis, reporting, process administration, and project coordination. This position serves as an analytical resource for the Manager, Sales Planning and assists in providing timely, accurate, and actionable business information to Sales, Marketing, Operations, Purchasing, Finance, Branch Management, and Daikin corporate stakeholders. The role focuses on data gathering, validation, analysis, reporting, and follow-through that enables management decision-making and supports sales productivity and operational efficiency.
Position Responsibilities may include:
  • Prepare and maintain recurring sales, margin, inventory, profitability, customer, and product performance reports.
  • Responsible for reporting product sales and forecasts to Corporate
  • Conducts market analysis in coordination with the sales teams
  • Collect, validate, organize, and reconcile data from ERP, sales reporting, inventory, pricing, and other business systems.
  • Collect and compile external market intelligence - market share, economic indicators, and permit/housing data - from industry associations, housing associations, and third-party research providers.
  • Analyze sales trends, customer activity, product performance, market indicators, and program adoption rates.
  • Assist with annual budget development, forecast updates, target-setting exercises, and performance tracking.
  • Support pricing, rebate, and margin analysis by compiling data, identifying trends, and preparing management summaries.
  • Maintain dashboards, scorecards, KPI reports, and standardized reporting tools for management review.
  • Track and report on strategic product and growth program initiatives and other company priorities.
  • Assist with quote tracking, win-rate analysis, customer segmentation, dealer activity reviews, and follow-up reporting.
  • Conduct inventory analysis - excess and slow-moving inventory, vendor/category performance, and inventory turns - and identify branch-balancing opportunities for Purchasing and Operations review.
  • Prepare presentations, supporting schedules, and business summaries for leadership meetings, branch reviews, vendor meetings, and corporate requests.
  • Assist with account maintenance, territory alignment, ship-to/account cleanup, data integrity initiatives,

Nature & Scope:
  • Operates as an analytical and project support resource within the Sales Planning function.
  • Applies working knowledge under the general supervision of the Manager, Sales Planning; supports day-to-day reporting, analysis, and process execution.
  • Handles assignments of moderate complexity using established methods and some judgment, escalating non-routine issues to management.
  • Supports business decision-making by gathering and validating data, identifying trends, and documenting findings; final decisions are made by management.
  • Requires strong attention to detail, data integrity, follow-through, and the ability to manage recurring responsibilities and ad hoc requests.
  • Regularly interacts with cross-functional, branch, and corporate stakeholders.

Knowledge & Skills:
  • Strong analytical, quantitative, problem-solving, and data organization skills.
  • Proficiency in Microsoft Excel, including pivot tables, lookup functions, conditional formulas, data cleansing, and report development.
  • Ability to organize, analyze, and interpret large datasets and identify trends, anomalies, and business opportunities.
  • Ability to capture and document business and reporting requirements from multiple sources.
  • Working knowledge of Power BI, SQL/data extraction concepts, ERP systems such as P21, CRM tools, or reporting platforms preferred; this is a business analysis and reporting support role, not a data-science or data-engineering position.
  • Understanding of wholesale distribution, sales operations, inventory management, pricing, margin, profitability, and external market/industry data concepts preferred.
  • Ability to prepare clear reports, summaries, dashboards, and presentations for management review.
  • Strong written/verbal communication, organization, project coordination, and follow-through skills.
  • Ability to work independently on assigned tasks while collaborating effectively across departments.

Experience:
  • 3-6 years of experience in business analysis, sales operations, inventory planning, financial analysis, reporting, distribution operations, or a related analytical role preferred.
  • Internship or early-career experience involving data analysis, reporting, forecasting, inventory management, or business process improvement is beneficial.
  • Experience using Excel in a professional environment required; exposure to Power BI, SQL, ERP systems, or reporting platforms preferred.

Education/Certification:
  • Bachelor's Degree in Business Administration, Finance, Economics, Accounting, Data Analytics, Supply Chain, Marketing, or related field preferred.
  • Equivalent combinations of education, analytical capability, and relevant business experience may be considered.

People Management: No
Physical Requirements / Work Environment:
  • Must be able to perform essential responsibilities with or without reasonable accommodations.

The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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