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Entry Level Excel Data Analyst Jobs in Ontario (NOW HIRING)

Proficiency in data analysis tools and software (e.g., SQL, Excel, R, Python). The ability to perform large scale data frame processing using Pandas and NumPy is a plus. * Database skills: good ...

Present business insights in a meaningful and intuitive manner, in accordance with the target audience, using Tableau, Excel, and other BI tools Data Analytics and Visualization (40%) * Create ...

Data Analyst

London, ON ยท On-site

... them to excel in their core businesses. VersaBank'sCommon Shares trade on the Toronto Stock ... As a Data Analyst, you will play a key role in designing, developing, andmaintainingreporting ...

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal ... Statistical analysis (Excel, SPSS, SAS, R, or Python); * ETL methodologies and toolsets;

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are currently seeking a Data Analyst to join the Data Solutions team in the Wealth Technology ... Modelling e.g., MS Excel * Database system e.g., PostgreSQL, Snowflake * Cloud Technology e.g., AWS ...

Senior Data Analyst

London, ON ยท On-site

CA$80K - CA$95K/yr

Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling ... Strong analytical and problem-solving skills, with the ability to translate complex data into ...

Senior Data Analyst

Waterloo, ON ยท On-site

CA$80K - CA$95K/yr

Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling ... Strong analytical and problem-solving skills, with the ability to translate complex data into ...

Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling ... Strong analytical and problem-solving skills, with the ability to translate complex data into ...

Meter Data Analyst

Toronto, ON ยท Hybrid

CA$54K - CA$66K/yr

Review and analyze exception reports from various meter data management systems. Determine and ... Strong proficiency with MS Office, specifically MS Excel. * Proficiency with SQL considered an ...

Data Analyst, Consumer Insights

Toronto, ON ยท On-site

CA$50K - CA$65K/yr

You will analyze data, uncover meaningful insights, and help translate findings into ... Proficiency in Microsoft Excel and PowerPoint is essential. * Experience with statistical programs ...

The Market Data Analyst serves as the central data and reporting resource for Used Vehicle Sales ... Strongproficiencyin Microsoft Excel (pivot tables, formulas, data manipulation). * Experience with ...

Business Data Analyst

Toronto, ON ยท On-site +1

CA$81K - CA$115K/yr

Skill in using Microsoft office such as Word, Excel, PowerPoint; knowledge of data analytical tools is an asset. * A proactive approach to process improvement and identifying best practices for ...

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Entry Level Excel Data Analyst information

Is Excel enough for an Entry Level Excel Data Analyst?

For an entry-level Excel data analyst, proficiency in Excel is essential as it is the primary tool for data analysis tasks. However, developing skills in data visualization, basic SQL, and understanding data management can enhance job performance and opportunities. Additional certifications or knowledge of related tools may be beneficial for career growth.

What entry level jobs use Excel?

Entry level Excel Data Analyst roles often involve tasks such as data entry, data cleaning, and basic analysis using Excel functions and formulas. These jobs typically require proficiency in spreadsheet skills, and familiarity with tools like pivot tables and charts is beneficial for handling data efficiently.

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 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 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 are the most commonly searched types of Excel Data Analyst jobs in Ontario? The most popular types of Excel Data Analyst jobs in Ontario are:
What are popular job titles related to Entry Level Excel Data Analyst jobs in Ontario? For Entry Level Excel Data Analyst jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Entry Level Excel Data Analyst jobs in Ontario look for? The top searched job categories for Entry Level Excel Data Analyst jobs in Ontario are:
What cities in Ontario are hiring for Entry Level Excel Data Analyst jobs? Cities in Ontario with the most Entry Level Excel Data Analyst job openings:
Infographic showing various Entry Level Excel Data Analyst job openings in Ontario as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution.

Financial Data Analyst

Northlake Financial ULC

Barrie, ON โ€ข On-site

CA$45K/yr

Full-time

Medical, Dental

Re-posted 4 days ago


Job description

About Northlake Financial

Northlake Financial team is growing! If you are a committed and collaborative professional looking to contribute to a hard-working, innovative team, this opportunity is for you.


Why Work for us?

Northlake understands the needs of its employees. Northlake Financial is revolutionizing the Canadian automotive finance industry with a full spectrum of dynamic rates and services for dealers. We specialize in the acquisition and servicing of prime and subprime automotive financing contracts. Our employees flourish in an exciting and engaging environment.


Purpose of a Data Analyst

The Data Analyst is responsible for collecting, analyzing, and interpreting data to support strategic and operational decision-making across the organization. This role requires a strong analytical mindset and the ability to leverage data, statistical methods, and technology to identify trends, improve business performance, and provide actionable insights to leadership.

Number of Positions Available: 1

Office Location:Barrie, ON (This role does not provide remote or hybrid work).


Responsibilities of a Data Analyst

  • Utilize database management tools to perform data mining and analysis.
  • Design, develop, and maintain data models, dashboards, and reporting solutions.
  • Analyze data and present findings, trends, and recommendations to management.
  • Generate and distribute daily, weekly, monthly, and ad hoc reports for department leaders.
  • Conduct data integrity reviews and ensure the accuracy and reliability of reporting.
  • Monitor key performance indicators and identify opportunities for operational improvement.
  • Manage relationships with third-party IT and technology service providers.
  • Participate in corporate strategic initiatives and cross-functional projects.
  • Ensure all reporting deadlines and deliverables are met in accordance with established timelines.
  • Identify and implement continuous improvement opportunities related to data collection, reporting, and analysis.
  • Consistently act in a manner that reflects positively on the organization and complies with company policies and procedures.

Requirements of a Data Analyst

  • Ability to work on-site at the designated company location.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Demonstrated attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Strong organizational and time-management skills.
  • Ability to work independently and collaboratively within a team environment.
  • Commitment to continuous learning and professional development.
  • Customer-focused approach with a high level of accountability and professionalism.

Qualifications of a Data Analyst

  • College diploma, university degree, or higher in Data Analytics, Computer Science, Statistics, Mathematics, Information Technology, Business Analytics, or a related field.
  • Minimum 2 years of experience in a data analysis, reporting, or business intelligence role.
  • Advanced proficiency in Microsoft Excel.
  • Experience working with databases, SQL, and data visualization/reporting tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of statistical analysis and data modeling techniques.
  • Experience creating dashboards, reports, and data-driven recommendations for business stakeholders.
  • Familiarity with data governance and data integrity best practices is considered an asset.

Compensation of a Data Analyst

  • Base Salary starting at $45,000annually
  • Paid Wellness Days
  • Your Birthday Off
  • Comprehensive Benefits Package including health and dental coverage
  • Employee Assistance Program (EAP) for mental health and wellness support
  • Bonusly employee recognition and rewards platform


Northlake Financial appreciates all interest in this opportunity. We are an equal opportunity employer, and all employment decisions are based on business needs, job requirements, and individual qualifications. We do not discriminate on any grounds protected by applicable federal, provincial, or territorial human rights legislation.


Northlake Financial is committed to providing reasonable accommodation to applicants with disabilities throughout the recruitment process,in accordance withapplicable accessibility legislation.Applicants requiring accommodation are encouraged to notify the hiring manager.

Artificial Intelligence (AI) in Recruitment:NorthlakeFinancial may use artificial intelligence (AI) tools to support the screening and evaluation of applications. These tools are used toassist, and notreplace,human decision-making.

All applicants must be legally eligible to work in Canada. Proof ofeligibility will berequiredupon hire.


Data analysis, SQL, Python, Excel, data visualization, Power BI or Tableau, credit risk analysis, portfolio performance analysis, delinquency and charge-off analysis, loan data, forecasting, data-driven decision making, loan origination systems, ETL, data pipelines, KPI reporting, regulatory compliance, fraud detection