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Data Analyst Startup Jobs in Ontario (NOW HIRING)

You will also be responsible for analysis of data related to determining of rewards, driving ... Past startup experience is a big plus! Compensation : 4 \- 6 LPA Food benefits Why Should You ...

Meter Data Analyst

Toronto, ON · Hybrid

CA$54K - CA$66K/yr

... startup, together with a rock-solid, recession-proof business that has a 45 year track record. We ... Review and analyze exception reports from various meter data management systems. Determine and ...

You should be comfortable navigating ambiguity, solving complex analytical problems, and ... Startup DNA : You thrive in fast-paced environments with limited structure and have a shared sense ...

Experience building a data platform from scratch at a startup * Experience mentoring analysts or helping build a data function Location Passage operates with an in-office working model. Candidates ...

Preferably with first internship experience in a fast-paced work environment (startup, VC ... Analytical, humble and pragmatic person with a can-do attitude * Fluent in English (addittional ...

Projects span a wide range of disease areas and data modalities, including multi-omics integration ... Ability to work in a fast-paced startup environment with a bias toward action, a willingness to ...

Unique skillset in data analysis, programming, mathematics another technical field. * Previous experience founding a startup or initiative, showcasing entrepreneurial spirit and leadership, or having ...

Experience * 6+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup * Experience in ...

Director,Quantitative Data Products

Toronto, ON · Hybrid

CA$121K - CA$170K/yr

... analysis within the investment industry. * Deep understanding of capital markets, data product ... startup or venture-building experience. This position will be located in Toronto and offers the ...

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Data Analyst Startup information

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are the most commonly searched types of Data Analyst Startup jobs in Ontario? The most popular types of Data Analyst Startup jobs in Ontario are:
What are popular job titles related to Data Analyst Startup jobs in Ontario? For Data Analyst Startup jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Analyst Startup jobs in Ontario look for? The top searched job categories for Data Analyst Startup jobs in Ontario are:
What cities in Ontario are hiring for Data Analyst Startup jobs? Cities in Ontario with the most Data Analyst Startup job openings:
Infographic showing various Data Analyst Startup job openings in Ontario as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, 4% Temporary, and 4% Contract. Highlights an 74% In-person, 7% Hybrid, and 19% Remote job distribution.

Full-time

Re-posted 8 days ago


Job description

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\n We\- re looking for an entrepreneurial candidate with extremely strong analytical skills and with high attention to detail to join our team. Your primary efforts will focus on SquadRun's data Delivery Operations, helping to make it more efficient and more productive by analyzing and mapping contractors\- working trends, platform behavior etc. Your insights will be used to develop product strategy, as also to design and deploy productivity tools for our contractor base to use. You will also be responsible for analysis of data related to determining of rewards, driving engagement and retention and leading new growth through insights from internal research and external data.
About SquadRun
<\/u><\/strong>SquadRun helps businesses outsource operational work to a distributed mobile workforce of college students, young professionals, housewives, etc.
Tasks Include
<\/u><\/strong>Data operations: moderating and classifying catalog, tagging content for a consumer\/ social app, etc.
Outbound calling operations: calling contacts to collect\/ update information, lead qualification, feedback surveys etc.
Roles And Responsibilities
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  • Identify and map key data points that will help increase contractor efficiency and productivity<\/li>\n
  • Identify and map key data points that will help promote ease of adoption and onboarding
    <\/li>\n <\/ul>\- Drive increased engagement on the platform through predictive models that forecast \- user journey and platform behavior\-
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    • Analyze data to determine \- mission rewards\- framework<\/li>\n
    • Create data maps\/systems that help to match capabilities of a contractor to the nature of work (output) expected<\/li>\n
    • Drive prediction modeling of operations requirements, based on demand forecast<\/li>\n
    • Derive insights based on internal metrics and external research, for identifying new segments for innovation\/optimization<\/li>\n
    • Share inputs for design of workflows suited to extract optimum performance
      <\/li>\n <\/ul>Qualifications
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      • Good knowledge of Data Analysis tools and algorithms. Previous work experience is a plus!<\/li>\n
      • Completed or pursuing a Bachelor's degree in Engineering, Business Administration, Management<\/li>\n
      • Ability to work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.<\/li>\n
      • Data analysts are often called to present their findings, or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.<\/li>\n
      • You must look at the numbers, trends, and data and come to new conclusions based on the findings.
        <\/li>\n <\/ul>Attention to Detail : Data is precise. You have to make sure they are vigilant in their analysis to come to correct conclusions.
        Other Requirements
        <\/u><\/strong>Location: Candidate must be based in Delhi NCR and willing to move\/travel (not a telecommute position).
        Joining Date : ASAP!
        Traits : Extremely motivated, entrepreneurial, social, energetic, persuasive, humble, patient, analytical and hard\-working with great communication skills; Good written & spoken English. Most important \- willing to go that extra mile to get the work done.
        Experience : 1\-3 years of relevant work experience. Past startup experience is a big plus!
        Compensation : 4 \- 6 LPA
        Food benefits
        Why Should You Consider This Seriously
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        • We\- re one of the few applications of AI\/ data science that actually has a massive market and business model to create a long term valuable business rather than a short\-term acquisition play!<\/li>\n
        • In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). Our customers include Uber, Sephora, Teespring, Snapdeal, the Tata and Flipkart Group, amongst others and we have plans to grow 10x in the next 1.5 years<\/li>\n
        • We are a well\-balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley<\/li>\n
        • The platform empowers college students, stay at home mothers and grey collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one \- how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision! (ref:iimjobs.com)
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