[Remote] Marketing Data Analyst at Dataiku

United States

Dataiku Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Part TimeJob Type
UnknownVisa
Marketing, SoftwareIndustries

Requirements

  • 4+ years of professional experience in analytics or a data/strategy-oriented role
  • Experience in consulting or a similar business-facing analytical role
  • Demonstrated experience using data to analyze pipeline performance and marketing campaigns/ROI
  • Strong proficiency in Excel/Google sheets
  • Advanced proficiency in SQL
  • Moderate proficiency in Python for analytics purposes
  • Demonstrable proficiency building high-quality visualizations in tools like Tableau
  • Familiarity with operations systems such as HubSpot and Salesforce
  • Ability to communicate clearly on technical and business concepts

Responsibilities

  • Partner with marketing stakeholders to identify key business questions and conduct ad-hoc analyses
  • Develop strategic projects to grow the analytics ecosystem including pipeline forecasting, campaign analytics, and marketing/channel mix analysis
  • Own and manage key datasets and dashboards
  • Build innovative solutions to open questions using advanced analytics and AI
  • Collaborate with Business Operations and the Enterprise Data & Analytics teams on GTM metrics and datasets
  • Contribute to the internal analytics community at Dataiku

Skills

Data Analysis
Ad-hoc Analysis
Pipeline Forecasting
Campaign Analytics
Marketing Analytics
Data Visualization
SQL
Communication
Stakeholder Management

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health, life & pension benefits
Equity
Time off for R&R
Public holidays
Work from anywhere policy (unique to team)
12 weeks of paid parental leave
Volunteering opportunities
Career Development opportunities
Technology stipend
Onsite meals & healthy snacks
Office happy hours
Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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