Lead the design and execution of automated reporting, insights, and analytics infrastructure, collaborate with teams on data requests, and ensure data accuracy.
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
StackAdapt is hiring a Business Intelligence Lead to join our growing Advertising Technologies Team. You will report to the Senior Director, Business Intelligence, and will be responsible for leading the design and execution of automated & scalable reporting, insights & analytics infrastructure. You will get to interact with other internal teams addressing their data requests and designing data pipelines & dashboards to track key business and performance metrics. It is important that you maintain data accuracy with extreme attention to detail.
StackAdapt is a remote-first company, we are open to candidates located anywhere in Canada for this position.
What You'll Be Doing
- Design and implementation of automated, scalable reporting infrastructure and analytics solutions.
- Design and build data pipelines, ETL workflows and Dashboards collaborating with other Analysts on the team.
- Continuously and meticulously monitor, report & review business metrics and supply quality with internal stakeholders translating data into actionable prescriptive insights and recommendations.
- Initiate, execute and fully own projects from planning to execution collaborating with other BI team members.
- Perform deep-dive analysis to understand trends, anomalies, and provide actionable recommendations to stakeholders.
- Independently build and manage relationships with internal stakeholders, including the Director/VP+ level.
- Partner closely with Inventory & Data Partnerships, Product Solutions, Platform Quality, Marketing, Engineering teams, etc and work cross-functionally on data analysis providing meaningful and strategic recommendations to teams.
What You'll Bring to the Table
- Strong knowledge and experience scripting with SQL and Python and/or PySpark, extracting large sets of data, and designing ETL flows.
- Strong knowledge and hands-on experience working with Airflow; Experience with Snowflake, BigQuery, Redshift, etc
- Experience with data visualization tools (Tableau, Qlik, Looker, etc).
- Prior experience working in Business intelligence/Data/Analytics teams and/or platforms building predictive data & analytics solutions.
- Bachelor’s or Master’s degree in a quantitative field, with a proven academic track record (e.g., finance, economics, statistics, math, etc.).
- Minimum 4+ years of working experience in a quantitative or analytics-driven environment with a solid understanding of statistical techniques.
- Strong verbal and written communication skills, comfortable presenting detailed technical and statistical analyses to senior stakeholders.
- Programmatic Advertising experience/expertise in working with RTB, DSPs, SSPs, publishers, or other related platforms preferred.
StackAdapter's Enjoy
- Highly competitive salary
- RRSP/401K matching
- 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
- Access to a comprehensive mental health care platform
- Full benefits from day one of employment
- Work-from-home reimbursements
- Optional global WeWork membership for those who want a change from their home office
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave policy
- A friendly, welcoming, and supportive culture
- Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
About StackAdapt
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
Ad Age Best Places to Work 2024
G2 Top Software and Top Marketing and Advertising Product for 2024
Campaign’s Best Places to Work 2023 for the UK
2024 Best Workplaces for Women and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
#LI-Remote
Top Skills
Airflow
BigQuery
Looker
Pyspark
Python
Qlik
Redshift
Snowflake
SQL
Tableau
Similar Jobs
.png)
eCommerce • Information Technology • On-Demand • Professional Services • Software
As a Senior Data Engineer, you will design and maintain data sets, collaborate with stakeholders, drive data quality, and build data products.
Top Skills:
Apache AirflowApache KafkaBigQueryDbtPythonSQL
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As a Machine Learning Engineer, you'll build and deploy ML models for banking, support data science efforts, and engage with product teams.
Top Skills:
Amazon Web ServicesGoogle Cloud PlatformJavaPython
Fintech • HR Tech
Lead the Growth Data Analytics team, guiding data-driven strategies and optimizing customer journey while managing a team of analysts and scientists.
Top Skills:
A/B TestingData Analytics ToolsMl-Driven Growth StrategiesSQL
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
