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Assistant Data Analytics Jobs in Toronto, ON (NOW HIRING)

Meter Data Analyst

Toronto, ON · Hybrid

CA$54K - CA$66K/yr

Identify meter data system anomalies or issues for resolution. * Assist in the development and ... Analyzing and auditing data while resolving any issues with both technical and non-technical ...

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

The Sr. Data Scientist will assist the Director of Data Analytics and other key stakeholders to bring actionable data driven solutions to 407 ETR. They will have the expertise and knowledge to mentor ...

New

... analytics models, and applications * Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions * Assist in implementing change ...

Monitor regulatory developments and assist in assessing their potential impact on the business ... Computer Science, Data Analytics, or a related field. * Prior internship experience at an ...

Showing results 41-60

Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Toronto, ON? The most popular types of Data Analytics jobs in Toronto, ON are:

Full-time

Re-posted 10 days ago


Job description

Company Description

Mars United Commerce Powered by Marilyn is a global commerce company that delivers all the solutions clients need to grow their business today and tomorrow. Founded by the late Marilyn Barnett, we've become global leaders in four key commerce disciplines - Strategy & Analytics, Digital Commerce, Content & Experiences, and Retail Consultancy - that together form a United Commerce Ecosystem that provides all the expertise clients need to navigate the commerce marketing landscape. Our 800+ Martians across North America, Europe, Australia, New Zealand and Asia exist to drive growth for our people, our clients, and our communities all across the globe. 

Overview

Part of the overall Analytics Group, the Media Analytics Team focuses on digital analytics, audience insights, and media performance optimization, client reporting and relationships, as well as cross-functional integration. They deliver best-in-class campaign reporting and insights, enabling data-driven decisions for media mix investing within the retail media ecosystem. The team audits advertising campaigns, troubleshoots performance issues, tracks and reports on KPIs, and provides consultation to Commerce Media planning and buying teams. They partner with the Commerce Media team to discuss advertising performance, provide campaign insights and recommendations, and continuously improve digital media analytics product and service offerings. Additionally, they answer client questions and ensure insights align with business objectives, write and approve proposals and presentations, oversee the work, and help drive the growth of the department.

  • Core Responsibilities: Digital Analytics, Data Clean Rooms, First Party Data, Second Party Data, Third Party Data, Audience Insights, Retail Media Measurement, Post Campaign Analysis, Incrementality Analysis.
  • Primary Tools: Amazon Marketing Cloud, Azure Synapse, PowerBI, LiveRamp, Retail Media Platforms (Criteo, The Trade Desk, etc.)
Responsibilities

The Manager, Media Analytics will lead a small group of analysts and manage media data and analytics projects, ensuring the delivery of high-quality insights that support business objectives. This role requires collaboration with various departments to understand and address their data needs and provide input to continuously improve data processes and analytics methodologies. More specifically, in this role, you will:

  • Lead and manage a group of media analysts, providing leadership, development, and guidance.
  • Develop and implement comprehensive media analytics strategies to support business objectives.
  • Manage and execute media analytics projects, ensuring timely and accurate delivery of insights.
  • Ensure the accuracy and quality of all data, reports, and visualizations.
  • Collaborate with various departments to understand and address client media analytics needs.
  • Communicate findings and recommendations effectively to all stakeholders.
  • Continuously improve media data processes and analytics methodologies.
  • Support new business RFP & pitching efforts, as required.
  • Demonstrate ability to initiate relationships and be responsible for developing these into strong client relationships.
  • Identify unmet needs within the analytics department, and develop proposals to satisfy needs.
  • Develop and lead client presentations on media performance and insights.
  • Help to lead and develop people on the team (indirectly and directly).
  • Help the wider team attract, train, and develop talent, ensuring Analytics keeps a diversity of skills, backgrounds, and experience.
  • Continue to assist in knowledge sharing through internal communication events, training, and other written material.
  • Maintain relevant media and marketing certifications and stay informed of marketing trends and tools such as Walmart Scintilla, Amazon Marketing Cloud, etc.
  • Support wider agency initiatives.
  • Support the creation of white papers, agency "points of view", blog posts, etc.
  • Support annual planning initiatives with clients.
  • Show up - be accountable, take responsibility, and get back up when you are down.
  • Make stuff.
  • Share so others can see what's happening.
Qualifications
  • Bachelor's/Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field.
  • At least 6 - 12 years of experience in media data analysis and analytics management.
  • Strong leadership capabilities and track record of managing and mentoring an analytics team.
  • Demonstrated experience in leading media analytics methodologies like Multi-Touch Attribution (MTA), Audience Development, Clustering, Markov Chain analysis, etc.
  • Experience in the media and marketing domain, providing valuable context for data-driven decision-making.
  • Experience with retail media platforms such as Amazon, Walmart, Target, Kroger, Criteo, Citrus, and third-party API partners (SKAI, Pacvue, etc).
  • Strong technical understanding of a range of media and marketing concepts such as first-party and third-party cookie-based data collection, developing and activating audience segments from digital analytics and data management platforms.
  • Excellent project management skills to handle multiple media analytics projects and meet deadlines.
  • Ability to direct team members to ensure successful outcomes of media analytic projects.
  • Superior communication skills to convey complex media data insights to non-technical stakeholders.
  • Strategic thinking to develop and implement effective media analytics strategies.
  • Experience in SQL and Python or R for media data querying and manipulation.
  • Strong statistical analysis skills to derive actionable insights from media data.
  • Proficient in data modeling to structure and organize media data effectively.
  • Extensive experience with BI tools and data visualization tools such as Tableau and Power BI for comprehensive media data analysis and reporting.
  • Familiarity with and experience in adhering to data governance and security protocols.
  • Proven track record of driving business results through data-driven decision-making in media.
  • Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams.
  • Critical thinking to analyze media data and derive meaningful marketing insights.
Additional InformationSalary Transparency matters to us. The salary range for this position is CAD 105K - 115K per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.   

AI Use

We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Mars United Commerce is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for all stages of the interview and employment process for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest in Mars United Commerce, however, only those candidates selected for an interview will be contacted. 

Employment Type: FULL_TIME