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Startup Entry Level Data Analyst Jobs in Calgary, AB

Symend

Finance Analyst

Calgary, AB · On-site

Job Purpose The Finance Analyst is an entry-level role responsible for providing analytical ... Prepare data and analysis to support quarterly reforecasts, scenario modelling, and cashflow ...

Viridien

Seismic Imaging Analyst

Calgary, AB · Hybrid

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... Quarterly performance-based incentive average at 8-12% at entry level - your potential is limitless!

Viridien

Seismic Imaging Analyst

Calgary, AB · Hybrid

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... Quarterly performance-based incentive average at 8-12% at entry level - your potential is limitless!

Cgg

Seismic Imaging Analyst

Calgary, AB · Hybrid

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... Quarterly performance-based incentive average at 8-12% at entry level - your potential is limitless!

Promise Robotics

Software Developer

Calgary, AB

Analyze complex functions, procedures and problems to deliver creative and effective solutions ... Competitive salary: we believe in data-driven, equitable compensation decisions. We recently ...

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Startup Entry Level Data Analyst information

What does a startup entry level data analyst do?

A startup entry level data analyst is responsible for collecting, processing, and interpreting data to help the company make informed decisions. They often work with large datasets, conduct basic data cleaning, create visualizations, and generate reports to identify trends and insights. In a startup environment, analysts may also assist with automating processes, supporting marketing or product teams, and exploring new tools. This role is ideal for individuals looking to gain hands-on experience and make a tangible impact in a fast-paced setting.

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

To thrive as a Startup Entry Level Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, often backed by a degree in a quantitative field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving, adaptability, and effective communication help you interpret data insights and collaborate in a fast-paced environment. These skills are essential for turning raw data into actionable insights that drive growth and innovation in a startup setting.

What are the most common challenges faced by entry-level data analysts working at startups?

Entry-level data analysts at startups often encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. You may be expected to handle a mix of data cleaning, reporting, and ad-hoc analyses while adapting quickly to evolving business goals. The fast-paced environment requires strong communication skills to collaborate effectively with cross-functional teams, including product managers and engineers. However, these challenges also provide opportunities to learn quickly and make a tangible impact early in your career.

What is the difference between Startup Entry Level Data Analyst vs Startup Data Scientist?

AspectStartup Entry Level Data AnalystStartup Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis, reporting, basic modelingAdvanced modeling, machine learning, algorithm development
Employer & Industry UsageStartups, tech companies, small businessesStartups, tech firms, research-focused companies

Startup Entry Level Data Analysts focus on data collection, cleaning, and basic analysis to support decision-making. In contrast, Startup Data Scientists handle complex modeling, machine learning, and predictive analytics. While both roles require a background in data-related fields, Data Scientists typically need more advanced skills and education. The roles often overlap in startup environments, but Data Scientists usually work on more sophisticated projects.

What are popular job titles related to Startup Entry Level Data Analyst jobs in Calgary, AB?

For Startup Entry Level Data Analyst jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Startup Entry Level Data Analyst jobs in Calgary, AB look for?

The top searched job categories for Startup Entry Level Data Analyst jobs in Calgary, AB are:

Startup Entry Level Data Analyst jobs near you
Infographic showing various Startup Entry Level Data Analyst job openings in Calgary, AB as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Finance Analyst

Symend

Calgary, AB • On-site

Full-time

Posted 7 days ago

Job description

Job Purpose 

The Finance Analyst is an entry-level role responsible for providing analytical, reporting, and financial modelling support to the Finance team. This role supports budgeting, forecasting, financial analysis, and the preparation of business insights that guide decision-making across the organization. The Finance Analyst will work closely with senior members of the Finance team, contributing to the development of financial models, reporting packages, and process improvements. 

Duties and Responsibilities 

Core Responsibilities (Finance Analyst) 

  • Assist in preparing monthly financial reporting packages, including variance analysis and key performance insights. 

  • Support the development, updating, and maintenance of financial models (revenue, cost, labour, and operational forecasts). 

  • Contribute to the annual budgeting process, including gathering departmental inputs and preparing consolidated budget files. 

  • Prepare data and analysis to support quarterly reforecasts, scenario modelling, and cashflow projections. 

  • Conduct business case analysis for new and existing clients, supporting ROI assessments, value-opportunity modelling, and performance evaluations against client BAU. 

  • Conduct and support client pricing through bottoms-up cost modelling, gross-margin and sensitivity analysis, and preparation of pricing for new deals, renewals, and RFPs. 

  • Conduct business case analysis for new initiatives, supporting ROI assessments and cost-benefit modelling. 

  • Provide research and analytical support for board reporting, investor materials, leadership presentations, and other executive-level deliverables. 

  • Assist in improving Finance processes by streamlining reporting templates, automating recurring tasks, maintaining recurring monthly cost reporting.and maintaining documentation. 

  • Support vendor management, including software contract onboarding and renewals, validating renewal figures, and tracking spend against budget. 

  • Support grant funding initiatives, prepare and submit monthly claims, and manage relationships with grant funding contacts 

  • Participate in ad hoc financial analysis projects as required. 

  • Other duties as assigned. 

Education 

  • Bachelor’s degree in Accounting, Finance, Economics, Business, or related field. 

Experience 

  • 0–2 years of experience in Finance, Accounting, or similar analytical role. 

  • Co-op, internship, or relevant project-based experience strongly preferred. 

  • Exposure to financial modelling, budgeting, or forecasting through coursework or practical experience. 

Certifications 

  • None required. 

  • CPA, CFA, or similar designation in progress or future interest considered an asset, but not expected at this level. 

Competencies 

  • Strong analytical and quantitative skills 

  • Strong Excel proficiency – comfortable working in and maintaining structured financial models, using multi-variable lookup and aggregation functions, and building scenario and sensitivity analysis. 

  • Ability to interpret data and communicate findings clearly 

  • Solid understanding of accounting and financial principles 

  • Strong attention to detail and accuracy 

  • Ability to work collaboratively in a fast-paced environment 

  • Strong organizational and time-management skills 

Working Conditions 

  • Open office environment (unless remote). 

  • May require additional hours during reporting periods or key deadlines. 

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