Marketing Data Analyst - (Remote)
Canada
Applications have closed
Founded in 2016, Mattermost’s open source platform powers over 800,000 workspaces worldwide with the support of over 4,000 contributors from across the developer community. The company serves over 800 customers, including European Parliament, NASA, Nasdaq, Samsung, SAP, United States Air Force and Wealthfront, and is backed by world-class investors including Battery Ventures, Redpoint, S28 Capital, YC Continuity. To learn more, visit www.mattermost.com.
We value high impact work, ownership, self-awareness and being focused on customer success. If these values match who you are, we hope you'll learn more about working at Mattermost and apply!
Mattermost is seeking a passionate data enthusiast to lead our Marketing data analytics. As a data-driven organization, Mattermost relies on our data team to drive marketing insights, ensure accurate data across systems, iterate on current key business metrics, and dive into complex datasets to answer business-critical questions. In this role, you will work closely with the marketing, sales, product, and engineering organizations to deeply understand customer trends, analyze marketing activities, product adoption, and sales results in order to surface insights that impact the health of the overall business. If you are data-obsessed, love connecting the dots, thrive in an iterative environment, and aren’t afraid to roll up your sleeves and get your hands dirty with data, this is the role for you.
About Our ToolsTool Stack: Marketo, Salesforce, Wordpress, Google Analytics, Google Tag Manager, Google Optimize, Snowflake, dbt, Stitch, Hightouch, Looker, Google Sheets/Excel, etc.Coding Languages: SQL, Python, LookML
Duties and Resonsibilities:
- Work with the Marketing team to quantitatively understand problems and potential solutions; analyze disparate data sets in creative ways to generate new understandings of our business.
- Maintain and enhance analytics infrastructure including data models and visualization tools at Mattermost in cooperation with analysts across the organization.
- Analyze the performance of campaign launches and experiments using analytics tools, data platforms, and internal databases.
- Ensure the highest levels of data quality, organization, and reliability.
- Examine funnel performance, identify issues before they become problems, and suggest solutions.
- Use historical data to forecast future performance in real time.
- Surface analytical insights: proactively investigate root causes of aberrant data, and identify opportunities for optimization.
- Support design and implementation of experimentation necessary to improve channel efficiency, drive growth, and inform marketing investment decisions.
- Build and maintain dashboards that will capture the Marketing team’s performance against our success metrics.
- Participate in the definition and measurement of KPIs that will drive the company’s success.
- Assist in training new hires and colleagues on the workings of Mattermost’s data and what it means to be a data-driven culture.
- Lead strategic cross-functional data initiatives to stitch together Mattermost customer journey data for internal analytics consumption.
- Partner with the Data Engineering team to ensure relevant data is centralized into our data warehouse and modeled for performant analytics, while meeting our high data-quality standards.
Required Background and Skills:
- 4+ years experience with complex data analysis, visualization, and dashboards as part of full-time work, college coursework, personal projects, internships, or research
- Extensive experience with SQL
- Demonstrated experience using a data visualization tool such as Looker or Tableau to visualize and model raw data sets
- Able to proactively engage, communicate, and collaborate with cross-functional business stakeholders
- Deep understanding of marketing tactics, including campaigns and marketing channels such as SEM, SEO, Social, Events, Display, Content, and Email
- Knowledge of digital tagging methodologies and tracking. Expertise in new/emerging technologies in digital tracking (URL, cookies, cookie-less approaches).
- Experience applying probability and statistics to real-world problems; applied experience in experimentation design, A/B testing and/or probabilistic modeling a plus
- Passion for data and analytics
- Logical and analytical abilities to help solve problems and derive insights from data
- Resourceful, self-motivated, and able to successfully complete multiple competing projects under tight deadlines
- Experience using dbt or other data transformation tools
- Python experience
- Bachelor's or Master’s Degree in Computer Science, Math, Statistics, Engineering, Economics, Business, or related discipline
Australia - Bangladesh - Belarus - Brazil - Bulgaria - Canada - Chile - Colombia - Finland - Georgia - Germany - Greece - India - Ireland - Mauritius - Mexico - Norway - Pakistan - Philippines - Poland - Portugal - Spain - South Korea - Suriname - Turkey - Uganda - Ukraine - United Kingdom - United States
We are constantly working towards adding more countries/regions to this list, but first we need to make sure we are compliant with local laws and regulations, which takes time.
Mattermost is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people from all walks of life. We don't discriminate against staff or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Computer Science Data analysis Data Analytics Data visualization Economics Engineering Excel KPIs Looker LookML Open Source Python Research Snowflake SQL Statistics Tableau Testing
Perks/benefits: Career development Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs