Strategic Solutions Data Specialist

As a Strategic Solutions Data Specialist, reporting to the Solution Engineering Specialists Manager, this position is 60% customer/prospect facing and is the linchpin to our Go to Market practice as it pertains to Fullstory’s data science and data analyst use cases. This position has a dual role:

1. Working directly with prospects (and current customers seeking to add Fullstory data to their warehouse) to understand their data needs, developing and executing data ingestion and transformation processes, and building data models and dashboards to support customer product, engineering, performance, and marketing activities.
2. Designing, implementing, and maintaining end to end, last mile solutions built on top of the Fullstory Anywhere: Warehouse / Activations data-set to demonstrate the value of Fullstory data and assist prospect / customer data teams as they utilize this data for global reporting, machine learning, and predictive analytics use cases.

In a typical day, you might:

• Act as the “tent pole” contributor, creator, and curator for Fullstory Anywhere: Warehouse / Activations best practices:
  • Data pipelines: Design, implement, and maintain data pipelines to support the Solutions Engineering team’s ability to demonstrate Fullstory Anywhere: Warehouse. This includes working with customers to build data models and visualization that align to their business priorities.
  • Data quality: Ensure the quality and accuracy of the data used by the Solutions Engineering team. This includes developing and implementing data quality standards, monitoring data quality metrics, and working with customers to mirror these data quality best practices in a customer production environment.
  • Data governance: Establish and maintain data governance policies to stand as recommended best practices for our Fullstory Anywhere: Warehouse / Activations customers.
  • Data education: Train and support Solutions Engineers on the use of data and data tools. This includes developing and delivering training materials, providing one-on-one assistance, and answering questions.

• Work with Solutions Engineering to understand prospects’ data needs and develop a data integration plan and evaluation strategy
• Develop and execute data ingestion and transformation best practices
• Collaborate with Solutions Engineers to develop and deliver technical presentations and demonstrations specifically for prospects looking to leverage Fullstory’s unique behavioral dataset from inside their data warehouse.
• Provide technical support to Solutions Engineers and other stakeholders
• Stay up-to-date on the latest data engineering technologies and best practices

Here’s what we’re looking for:

• 2+ years of experience in data analysis and / or data engineering
• Experience with data visualization, transformation, and modeling
• Experience with SQL, Python, LookML, R etc.
• Experience with data visualization tools such as Looker or Tableau
• Experience with cloud computing platforms (Redshift, Google Bigquery, Snowflake)

This role has a 70/30 split (base/variable) compensation structure, with a base salary between $122,000 – $152,500 USD and an OTE(on-target earnings) of $174,286 – $217,857 USD. Total compensation will vary based on relevant experience, qualifications, and market conditions.

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