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Entry Level Excel Data Analyst Jobs in Toronto, ON

Virtusa

Junior Associate

Toronto, ON · On-site

Data Analyst We are seeking a highly analytical and detailoriented Data Analyst to turn data into ... Excel or Google Sheets skills IndexMatch Pivot Tables Power Query for rapid data modeling Soft ...

City of Toronto

HEALTH INFORMATION ANALYST

Toronto, ON · Hybrid

CA$42.68 - CA$46.31/hr

Considerable skills in management, analysis and interpretation of data. * Proficient in Word, Excel, PowerPoint and other software packages relevant to the analysis and presentation of population ...

Jefferies

Compliance Analyst

Toronto, ON · On-site

We are seeking a highly motivated and detail-oriented entry-level Compliance Analyst to join our ... Proficiency in Microsoft Office, particularly Excel, PowerPoint, Word, and Outlook. Preferred

Lifeworks

Pension Analyst

Toronto, ON · Hybrid

Knowledge of Microsoft Excel A bit about us We're a people-focused, customer-first, purpose-driven ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

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Entry Level Excel Data Analyst information

What is an entry level Excel data analyst?

An Entry Level Excel Data Analyst is a professional who uses Microsoft Excel to organize, analyze, and interpret data to help organizations make informed decisions. They typically work with large datasets, create reports, and use Excel functions like formulas, pivot tables, and charts. Entry level analysts often assist senior analysts and may help with data cleaning, trend analysis, and basic data visualization. This role is ideal for individuals starting their careers in data analysis and looking to develop their technical and analytical skills.

What are the key skills and qualifications needed to thrive as an entry level Excel data analyst?

To thrive as an Entry Level Excel Data Analyst, you need a solid understanding of data analysis fundamentals, proficiency with Microsoft Excel, and at least a bachelor's degree in a related field. Familiarity with Excel functions, pivot tables, basic data visualization tools, and possibly introductory knowledge of SQL or BI tools is advantageous. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills are critical for transforming raw data into actionable insights that support business decisions.

What are some common challenges faced by entry level Excel data analysts, and how can they be overcome?

Entry-level Excel Data Analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and learning advanced Excel functions. These can be overcome by gradually building proficiency in Excel through practice and online tutorials, double-checking data for errors, and seeking guidance from more experienced team members. Collaboration with colleagues and participating in team meetings can also help analysts understand project requirements and best practices, making it easier to deliver accurate and meaningful insights.

What is the difference between Entry Level Excel Data Analyst vs Data Coordinator?

AspectEntry Level Excel Data AnalystData Coordinator
Required SkillsProficiency in Excel, basic data analysis, attention to detailData management, organization, Excel skills, communication
CertificationsExcel certifications, data analysis coursesData management certifications often preferred
Work EnvironmentOffice setting, analytical tasks, reportingOffice environment, data entry, coordination tasks
Industry UsageBusiness, finance, marketingHealthcare, education, corporate sectors

While both roles involve working with data and Excel, an Entry Level Excel Data Analyst focuses on analyzing data and generating reports, whereas a Data Coordinator manages data organization and ensures data accuracy across systems. The analyst role emphasizes analysis skills, while the coordinator emphasizes data management and coordination tasks.

What are popular job titles related to Entry Level Excel Data Analyst jobs in Toronto, ON?

For Entry Level Excel Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Excel Data Analyst jobs in Toronto, ON look for?

The top searched job categories for Entry Level Excel Data Analyst jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Entry Level Excel Data Analyst jobs?

Cities near Toronto, ON with the most Entry Level Excel Data Analyst job openings:

Entry Level Excel Data Analyst jobs near you
Infographic showing various Entry Level Excel Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sales Data Analytics Analyst

Vertiv Co

Mississauga, ON

Full-time

Re-posted 4 days ago

Vertiv rating

6.8

Company rating: 6.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

367th of 490 rated machine equipment manufacturers

Job description

POSITION SUMMARY

The Sales Strategy Analyst collects, analyzes and reports management data to support decisions on day to day operations, strategic planning and specific business performance issues and improvements. Uses data to obtain quantifiable economic benefit to accrue market share, revenue, or cost savings. Collates, models, interprets and analyzes data; explains variance and trends. Identifies and documents enhancements to modeling techniques.

RESPONSIBILITIES

  • Systematically identify and prioritize growth opportunities.
  • Translate market and pipeline data into actionable strategies.
  • Supporting structured business reviews and planning cycles.
  • Generate business review statistics and reporting including sales, orders, year over year growth by office and region.
  • Provide tracking of total business by revenue and segment by product lines, customers, verticals, regions.
  • Analyze inventory run rates, safety stock, and recommended buy/sell products to support growth while reducing cost.
  • Publish available inventory to sales teams.
  • Aid in quota determination, tracking, and reconciliation.
  • Report on opportunity registrations by partners including product, revenue, win/loss rates, and forecasting.
  • Review and publish sales leads via CRM, track and publish quote and order rates.
  • Develop business intelligence reports from available sources such as news, construction data, websites.
  • Identify AI tools and functions to aide in sales processes, reporting, communications.
  • Learn about Vertiv products, applications, and processes.

QUALIFICATION

  • Bachelors degree with experience in data analytics, business, or equivalent.
  • Strong verbal and written communication skills (English).
  • Team Player, Organized, Efficient, Self Motivated.
  • Knowledge of tools such as PowerBI, CRM, Excel to efficiently create reports and analysis.

OTHER

  • Position is based in Mississauga, Ontario.
  • Hours are 8am - 5pm, Monday to Friday, 1 hour lunch.
  • Occasional business travel for training and meetings.


Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in Canada. This is not a position for which sponsorship will be provided.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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