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    Marketing Science Statistics Analyst - Toronto, ON, Canada - Critical Mass

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    Description

    As a Marketing Science Statistics Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 1 to 3 years of experience, owning marketing statistical modeling across a broad range of initiatives, and focused on the use of AI/ML, statistical modeling, and predictive analytics. You understand the nature and purpose of the main Digital marketing channels, enjoy collaborating with others, and are able to communicate clearly and effectively.

    You will:

    • Analyze data across a digital landscape to discover trends, solve problems, and identify opportunities.
    • Turn data into actionable insights through storytelling and data visualization.
    • Gather marketing data across a variety of paid and owned channels to analyze website performance, understand audience behaviors, and summarize findings.
    • Assist in the ideation, development, and execution of data model frameworks.
    • Determine and implement methods to improve analytics processes.
    • Collaborate with other disciplines and partner agencies to deliver comprehensive solutions to both internal and client requests.
    • Occasionally support senior colleagues with analytics material for new business pitches and request for proposals.

    You have:

    • Top-notch communication and collaboration skills.
    • Experience with at least one website analytics platform (e.g.: Google or Adobe Analytics)
    • Experience with at least one digital media platform (e.g.: Google Campaign Manager, Google Ads, Facebook Insights, Search Ads 360, etc.).
    • Strong understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another.
    • Familiarity with marketing attribution models and techniques (e.g.: MMM, MTA, etc.)
    • Experience working with statistical analysis techniques and quantitative methods.
    • Proficiency in Python, R, SQL, or other business-relevant statistical programming language.
    • Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people.
    • A drive to keep learning and offer your team support to grow and learn.

    What We Offer

    ● Global maternity and parental leave
    ● Competitive benefits packages
    ● Vacation, compassionate leave, wellness days, and flex days
    ● Six free therapy sessions through Therify
    ● Access to online services for families and new parents
    ● Hybrid work options
    ● Extensive winter holiday office closures
    ● Summer Fridays (off at 3:00 PM local time every Friday)
    ● Diversity and Inclusion Board with 12 affinity groups
    ● Funding towards internal learning and development
    ● Enterprise-wide employee discounts

    Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 2 days a week.

    Critical Mass is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We do not tolerate discrimination on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you are an individual with disabilities who would like to request an accommodation, please reach out to .

    We are committed to fostering diversity, equity, and inclusion within our pool of candidates, with a target of achieving at least 50% representation from underrepresented communities.

    The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.comandus.greenhouse- . We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.

    Are you legally authorized to work in the Country you are applying for? *
    --

    Do you need sponsorship now or in the future? *
    --

    If you will need sponsorship, please explain. *

    Do you currently work for an Omnicom agency? *
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    What company do you currently work for? *

    Voluntary Self-Identification

    At Critical Mass, we are dedicated and determined to build a workforce that reflects the diversity of the communities in which we live and work. It is crucial that every team member can thrive and reach their full potential.

    With that said, we'd like to know a little more about you. We ask all applicants to fill out the below voluntary self-identification questions in order to evaluate and improve our recruitment and diversity efforts. Answering is completely voluntary and will not affect the outcome of your application.

    The data collected may be reviewed by the Critical Mass Talent Acquisition Team, Human Resources, our Diversity, Equality and Inclusion team, and our executives, but they will neither be reviewed by nor disclosed to anyone else. All the information that you share with us pursuant to this survey will be stored on our secure network servers located within Canada and the United States. We will only retain this information so long as it is necessary for the purpose that we have described here or as may be required by applicable laws. Thereafter, we will either anonymize the information or delete it entirely. If you elect to complete this survey, and at any point in the future you wish to retract or amend your responses, or otherwise have any questions about your data, you may contact our Talent Acquisition team at .

    As set forth in Critical Mass's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

    Aboriginal Peoples Definition:

    Aboriginal Peoples means persons who are defined as: Indians (more commonly referred to as First Nations), Inuit, or Métis.

    Members of Visible Minorities Definition:

    Members of Visible Minorities means persons, other than Aboriginal people, who are non-Caucasian in race or non-white in color.
    Examples:
    Black (e.g. African, Caribbean, Other)
    Arab (e.g. Middle Eastern, North African, etc.)
    Asian and Southeast Asian (e.g. Chinese, Japanese, Korean, Vietnamese, Cambodian, Laotian, Thais, etc.)
    West Asian (e.g. Armenian, Iranian, Persian, Egyptian, Turkish, etc.)
    Other (e.g. Latin American, Pacific Islander, etc.)

    Persons with Disabilities Definition:

    Persons with Disabilities means persons who have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

    How do you identify (gender identity)? (Select one)
    Female
    Male
    Intersex
    Non-binary
    Genderfluid
    Genderqueer
    Trans
    Trans (AFAB) (assigned female at birth)
    Trans (AMAB) (assigned male at birth)
    Agender
    Two-spirit
    I wish to self-describe
    I do not wish to disclose this information

    Do you identify as LGBTQIA+? (Select one)
    Yes
    No
    I do not wish to disclose this information

    Based on the definition above, are you an Aboriginal Person? (Select one)
    Yes
    No
    I do not wish to disclose this information

    Based on the definition above, are you a member of a visible minority? (Select one)
    Yes
    No
    I do not wish to disclose this information

    Based on the definition above, do you consider yourself as a person with a disability? (Select one)
    Yes
    No
    I do not wish to disclose this information

    Are you a Canadian Armed Forces Veteran or Reservist? (Select one)
    Yes
    No
    I do not wish to disclose this information

    Are you the spouse of a CAF Veteran or Reservist? (Select one)
    Yes
    No
    I do not wish to disclose this information

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