Submit your application

• Resume/CV ✱
  ATTACH RESUME/CV

  Couldn't auto-read resume.

  Analyzing resume...

  Success!

  File exceeds the maximum upload size of 100MB. Please try a smaller size.

• Full name✱
• Pronouns
  He/him
  She/her
  They/them
  Xe/xem
  Ze/hir
  Ey/em
  Hir/hir
  Fae/faer
  Hu/hu

  ---

  • Use name only

  ---

  • Custom

  Let the employer know what pronouns you use so that they can address you correctly.

• Email✱
• Phone ✱
• Current location ✱
  No location found. Try entering a different location

  Loading
• Current company ✱

Links

• Linkedin Profile URL✱

Work Authorization

• Are you legally authorized to work in the country the job you are applying for is primarily located?✱

  • Yes
  • No
• Do you now or will you in the future require StackAdapt to sponsor you for authorization to work in the country the job you are applying for is primarily located?✱

  • Yes
  • No

Salary Expectations

• What are your salary expectations (Annually)?✱

Secondary Employment

• If hired by StackAdapt, do you intend to hold any secondary employment, advisory position (e.g. membership on a board of directors), or volunteer position that (1) is on behalf of a business that would be competitive in nature to the business of StackAdapt, (2) conflict with your ability to perform your duties at StackAdapt, or (3) conflict with your working hours at StackAdapt✱

  • Yes
  • No

Previous Employment

• Have you previously worked at StackAdapt?✱

  Select...YesNo

Programmatic Insights Analyst Questions (Scalability & Optimization)

• Do you have data analysis experience in a professional marketing or advertising setting?✱

  • Yes
  • No
• Do you have experience using data to make strategic recommendations for marketing or advertising campaigns?✱

  • Yes
  • No
• Have you worked with cross-functional teams such as data architecture, analytics, or client services?✱

  • Yes
  • No
• Do you have experience using third-party market research data to support strategic insights?✱

  • Yes
  • No
• When working with data, which of the following best describes your typical approach?✱

  • I focus mostly on extracting and preparing data for others.
  • I analyze data and identify trends or anomalies.
  • I interpret data to generate insights and inform strategic decisions.
  • I do not have experience working with data in this way.
• How familiar are you with media KPIs and measurement tools (e.g., incrementality, attribution models, lift studies)?✱

  • Very familiar – I’ve applied them in multiple projects
  • Somewhat familiar – I’ve used them occasionally.
  • Slightly familiar – I’ve heard of them but haven’t used them.
  • Not familiar at all.
• Which best describes your experience turning data into insights?✱

  • I collect and report data without interpreting results.
  • I summarize key takeaways with limited strategic context.
  • I have not been responsible for interpreting or presenting insights.
  • I consistently deliver clear, actionable insights that guide decision-making.
• How would you describe your technical analysis skills across tools like Excel, SQL, BI platforms (e.g., Tableau, Power BI), or similar?✱

  • Basic: Able to clean and organize data using simple formulas, filters, and charts. Limited experience working with structured data or visualizing insights.
  • Intermediate: Comfortable analyzing structured data using pivot tables, basic SQL queries, and building simple dashboards or charts. Can answer direct questions from a dataset.
  • Advanced: Skilled in exploring and analyzing data across multiple tools. Comfortable with complex Excel formulas, joins in SQL, dashboard development in BI tools, and summarizing insights for business decisions.
• Do you have experience in performing statistical testing experiments, test designs and/or marketing measurement techniques?✱

  • Yes
  • No
• If you answered "Yes" to the previous question, please provide a brief example of a time when you applied one of the following methodologies: A/B testing, custom attribution techniques, or regression analysis. In your response, include: the objective of the analysis, the methodology used, the outcome or impact of your work.✱
• Do you have experience translating complex technical concepts to a non technical audience?✱

  • Yes
  • No
• Share an example of a time when you analyzed data from multiple sources and used it to deliver an insight or recommendation that influenced a business or team decision. What tools did you use, and what was the outcome?✱

Demographic Survey for StackAdapt

Here at StackAdapt, we strive to break down barriers so everyone can thrive. We are a global company and we must reflect the diverse world we work in. We are committed to building an inclusive workforce that fully represents the many different cultures, backgrounds and viewpoints of our employees, our customers and our communities.  As part of our commitment to diversity, equity and inclusion, we want to understand how we are performing from a talent attraction perspective. Therefore, we would like to invite you to complete this optional and confidential survey to help us evaluate our efforts. Submission of the information on this form is strictly voluntary and your refusal to provide it will not affect your job application in any way. The information obtained will be kept separate from your name or job application and there is no way we can identify you through the data you submit. This information will be kept secure and confidential and will be used solely to evaluate our diversity, equity and inclusion efforts at StackAdapt.

• What ethnicity do you identify as?

  Select all that apply

  • Asian - East Asian (e.g. Japanese, Korean, Chinese)
  • Asian - South Asian (e.g. Indian, Pakistani, Sri Lankan)
  • Asian - South East Asian (e.g. Indonesian, Filipino, Vietnamese)
  • Asian - West Asian (e.g. Uzbek, Turkmen, Kazakh)
  • Asian - North American
  • Asian - European
  • Asian - Other
  • Black - African (e.g. Nigerian, Kenyan, Moroccan)
  • Black - Caribbean (e.g. Grenadian, Jamaican, Trinidadian)
  • Black - South or Central American (e.g. Brazilian, Argentinian)
  • Black - North American
  • Black - European
  • Black - Other
  • Indigenous / Native - American Indian
  • Indigenous / Native - First Nations
  • Indigenous / Native - Aslaska Native, Inuit
  • Indigenous / Native - Hawaiian, Other Pacific Islander
  • Indigenous / Native - Torres Strait Islander Peoples
  • Indigenous / Native - Métis
  • Indigenous / Native - Other
  • Latin / Hispanic - Caribbean (e.g. Cuban, Haitian)
  • Latin / Hispanic - Central American (e.g. Honduran, Guatemalan)
  • Latin / Hispanic - European (e.g. Spanish, Portuguese)
  • Latin / Hispanic - South American (e.g. Brazilian, Argentinian)
  • Latin / Hispanic - North American
  • Latin / Hispanic - Other
  • Middle Eastern (e.g. Syrian, Lebanese)
  • Middle Eastern - North African (e.g. Libyan, Moroccan)
  • Middle Eastern - West Asia (e.g. Iranian, Afghan)
  • Middle Eastern - North American
  • Middle Eastern - European
  • Middle Eastern - Other
  • Caucasian (White) - Western European (e.g. Dutch, German, French)
  • Caucasian (White) - Eastern European (e.g. Polish, Serbian, Russian)
  • Caucasian (White) - African (e.g. South African, Namibian)
  • Caucasian (White) - North American
  • Caucasian (White) - Other
  • Jewish - Ashkenazi
  • Jewish - Sephardi
  • Jewish - Other
  • Mixed Race
  • Other
  • Prefer not to say
• What gender do you identify as?
  • Female
  • Male
  • Non-binary
  • Agender
  • Two-Spirit
  • Other
  • Prefer not to say
• What is your sexual orientation?
  • Asexual
  • Bisexual
  • Gay
  • Heterosexual
  • Lesbian
  • Pansexual
  • Queer
  • Two-Spirit
  • Other
  • Prefer not to say
• Do you have any disabilities, long term illnesses or health conditions?

  Select all that apply

  • No disabilities
  • Mental health
  • Physical disability
  • Cognitive/learning
  • Other
  • Prefer not to say