2

Entry Level Data Analysis Excel Jobs in Calgary, AB

Proficient with Microsoft Excel and Microsoft Office applications. * Strong attention to detail and ... Work alongside experienced data, analytics, and technology professionals. * Develop practical ...

Expertise in forecasting fundamentals and scenario analysis * Excel/Google Sheets Proficiency ... Ability to coordinate and consolidate data on a national scale, including SmartHome Security ...

This role will also be responsible for analyzing and evaluating data for accuracy, updating master ... SQL and Excel (VBA) knowledge is an asset * Previous experience with SAP Ariba would be an asset

In this role, you'll use advanced Excel skills and sharp analytical thinking to uncover discrepancies, identify new opportunities in data, and deliver valuable insights that drive process and ...

Data Collection & Analysis * Collect and validate data from multiple sources (e.g., LMS, surveys ... Experience working with data visualization and reporting tools such as Excel, Power BI, Tableau, or ...

... data analysis, ensuring optimal quality control, conducting research-driven problem-solving, and ... Quarterly performance-based incentive average at 8-12% at entry level - your potential is limitless!

... data analysis, ensuring optimal quality control, conducting research-driven problem-solving, and ... Quarterly performance-based incentive average at 8-12% at entry level - your potential is limitless!

... data analysis, ensuring optimal quality control, conducting research-driven problem-solving, and ... Quarterly performance-based incentive average at 8-12% at entry level - your potential is limitless!

next page

Showing results 1-20

Entry Level Data Analysis Excel information

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

AspectEntry Level Data Analysis ExcelData Analyst
Required SkillsBasic Excel, data entry, simple analysisAdvanced Excel, SQL, data visualization, statistical analysis
CertificationsNone or beginner Excel certificationsRelevant certifications like Microsoft Excel Expert, SQL certifications
Work EnvironmentEntry-level roles in various industries, often in office settingsMid-level roles in diverse industries, often involving complex data projects
Job ResponsibilitiesData entry, basic reporting, data cleaningData analysis, reporting, creating dashboards, interpreting data trends

Entry Level Data Analysis Excel focuses on basic data tasks using Excel, suitable for beginners. Data Analysts perform more complex analysis, often requiring additional skills like SQL and data visualization. While both roles work in office environments and require some Excel knowledge, Data Analysts handle more advanced responsibilities and typically have more certifications or experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst using Excel, and why are they important?

To thrive as an Entry Level Data Analyst with an Excel focus, you need strong analytical skills, attention to detail, and a foundational understanding of data concepts, often supported by a relevant degree or coursework. Proficiency in Microsoft Excel, including formulas, pivot tables, and data visualization tools, is essential, and familiarity with basic data analysis software or certifications like Microsoft Office Specialist can be advantageous. Strong communication, problem-solving ability, and organizational skills help you interpret and present data insights effectively. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing value to your team from the start.

What are some common challenges faced by entry-level data analysts working primarily with Excel, and how can they be addressed?

Entry-level data analysts using Excel often encounter challenges such as managing large datasets that may exceed Excel’s capacity, ensuring data accuracy during manual data entry, and learning to use advanced functions like pivot tables, VLOOKUP, and data visualization tools effectively. To address these, it's helpful to become proficient with Excel shortcuts, regularly validate data for errors, and seek out training resources or mentorship from experienced team members. Collaborating closely with colleagues can also provide insights into best practices for organizing and analyzing data efficiently in a team environment.

What are entry level data analysis Excel jobs?

Entry level data analysis Excel jobs are positions designed for individuals who are new to the field of data analysis and primarily use Microsoft Excel to organize, analyze, and visualize data. These roles typically involve tasks such as cleaning data, creating reports, building charts, and using formulas to draw insights from datasets. They are ideal for recent graduates or career changers and often serve as a stepping stone to more advanced data analyst roles. Proficiency in Excel, attention to detail, and basic analytical thinking are key skills for these jobs.
What are the most commonly searched types of Data Analysis Excel jobs in Calgary, AB? The most popular types of Data Analysis Excel jobs in Calgary, AB are:
What job categories do people searching Entry Level Data Analysis Excel jobs in Calgary, AB look for? The top searched job categories for Entry Level Data Analysis Excel jobs in Calgary, AB are:
Infographic showing various Entry Level Data Analysis Excel job openings in Calgary, AB as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Data Quality Analyst Intern

Finning

Calgary, AB • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Company:Finning CanadaNumber of Openings:1Worker Type:Temporary (Fixed Term)Position Overview:Finning is seeking a detail-oriented and analytical Data Quality Analyst Intern to support critical data quality initiatives across asset and customer records. This role will play an important part in improving the accuracy, completeness, and reliability of data used by business systems, customer-facing platforms, and digital integrations. The work is structured, repetitive, and detail-focused, requiring someone who can maintain accuracy and consistency while completing a high volume of similar validation and remediation tasks.
Working closely with data, business, and technology teams, you will help identify, investigate, validate, and resolve data issues while contributing to a major business transformation initiative. A significant portion of this role will involve contacting customers by phone to confirm or gather information, so comfort with professional phone conversations, follow-up, and accurate note-taking is essential. This is an excellent opportunity for a student or early-career professional looking to gain hands-on experience in data management, data governance, business systems, and digital transformation.
This role may be based in either Edmonton or Calgary for 4-6 months in duration in a hybrid work environment.
If this interests you , consider applying today!Job Description:
What You'll Do

Key Responsibilities

  • Review, validate, and update asset and customer data across multiple systems.
  • Perform data cleansing and remediation activities to improve data accuracy and completeness.
  • Conductfrequent customeroutreach, primarily byphone, to validate, confirm,and enrichcustomer and assetinformation.
  • Complete repetitive data validation, data entry, and follow-up activities with a high level of consistency and attention to detail.
  • Investigate data discrepancies and identify root causes of recurring data quality issues.
  • Track phone outreach outcomes, customer responses, and required follow-up actions clearly and accurately.
  • Document findings, patterns, and recommendations to support long-term improvements.
  • Maintain accurate records of completed updates and audit trails.
  • Support reporting and measurement of data quality improvements and business outcomes.
  • Collaborate withITand business teams to prioritize and resolve issues.

What We're Looking For

Required Qualifications

  • Currently enrolled in or recently completed a post-secondary program in:Information Technologyor Data Analyticsor BusinessAnalysisor Business AdministrationOr a related field.
  • Proficient with Microsoft Excel and Microsoft Office applications.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent organizational and problem-solving skills.
  • Strong written and verbal communication skills, including confidence making professional phone calls to customers.
  • Comfortableperformingrepetitive, detail-oriented work for extended periodswhile maintainingaccuracy andquality.

Preferred Qualifications:

  • Experience conducting research, data validation,customer outreach
  • Experience or being comfortable with engaging customers via telephone to collect, verify, and update key information.
  • Experience working with databases, SQL,Fabric,Power BI,AI,orrelatedtools.
  • Understanding of data quality, data governance, or master data management principles.
  • Familiarity with ERP, CRM, or enterprise business systems is an asset.
What Success Looks Like
  • Improve the quality and reliability of customer and asset data.
  • Support key business transformation and system migration initiatives.
  • Enhance digital data consumption across internal and external platforms.
  • Identify opportunities to reduce recurring data quality issues.
  • Enable better business decisions through more accurate information.

Why Join Finning?

  • Gain real-world experience working with enterprise-scale data.
  • Contribute to meaningful projects that impact customers and business operations.
  • Work alongside experienced data, analytics, and technology professionals.
  • Develop practical skills in data quality, business process improvement, and digital transformation.
  • Build valuable experience that can support future careers in data analytics, business intelligence, information management, or technology.

Ideal Candidate:We're looking for someone whois comfortable with structured, repetitive work and takes pride in doing it accurately. The ideal candidateenjoys solving puzzles, finding patterns in data, andfollowing through on customer outreach, including regular phone calls, to validate information.If you'rehighly organized,patient, comfortable speakingwithcustomers, and motivated by improvingdataquality, we'd love to hear from you.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities.Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.