Emplifi’s unified customer engagement platform empowers more than 20,000 of the world’s leading brands to revolutionize the digital and social customer experience. With comprehensive and integrated social media marketing, social commerce, and care, combined with unified analytics and AI, Emplifi fuels growth resulting in happy customers, increased product sales, and improved brand loyalty.

SOFT SKILLS

• Fluent in English (spoken & written), with the ability to collaborate across teams and communicate technical insights to non-technical audiences
• A proactive, solution-oriented mindset—you seek out automation opportunities and innovate with emerging tools
• Comfortable managing priorities and meeting deadlines in a fast-paced Agile environment
• Strong sense of ownership and accountability—you own your outcomes

HARD SKILLS

• Solid foundation in statistics, including descriptive and inferential techniques (e.g., bootstrapping)
• Advanced skills in Python, especially with libraries like Pandas and NumPy for report automation
• Proficiency in SQL and confident navigating large datasets
• Experience with APIs and PySpark is a plus
• Familiarity with basic machine learning concepts such as regression, classification, and clustering
• Experience with Git/GitHub for version control
  Willingness to learn tools like Airflow, Databricks, or Grafana

ABOUT THE ROLE

At Emplifi, data is more than numbers—it’s insight, innovation, and impact. As our Data Analyst, you’ll be at the forefront of shaping business and product decisions across the organization. We are looking for someone with natural curiosity, strong independence, and a deep sense of accountability—someone who thrives on discovering the “why” behind the data and who is motivated to deliver meaningful outcomes. You’ll uncover trends in the social media landscape that feed into global publications, deliver actionable insights that power our strategy, and support client success through fast, accurate data exports.
In this dynamic role, you’ll also support Sales enablement and pipeline building, while mastering powerful technologies like Python, Databricks, PySpark, S3, and Airflow. You’ll work with terabytes of data in our evolving Data Lake, all within a collaborative and flexible Agile (SCRUM) environment where experimentation is encouraged and learning never stops.