FullStory Logo

FullStory

Strategic Solutions Data Specialist

Sorry, this job was removed Sorry, this job was removed at 08:13 p.m. (PST) on Tuesday, Jul 15, 2025
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

Similar Jobs

An Hour Ago
Remote or Hybrid
United States
80K-95K Annually
Senior level
80K-95K Annually
Senior level
Fintech • Marketing Tech • Professional Services • Financial Services
The Senior Accountant will manage month-end closing, prepare financial reports, ensure GAAP compliance, and support audits and financial analysis.
Top Skills: ExcelMS OfficeOracleOracle Fusion
An Hour Ago
Remote or Hybrid
USA
45K-138K
Junior
45K-138K
Junior
Machine Learning • Payments • Security • Software • Financial Services
Develop and implement software solutions, conduct testing, maintain and debug software, while ensuring customer satisfaction and risk management.
Top Skills: Software DevelopmentTechnical Documentation
An Hour Ago
Remote or Hybrid
USA
61K-148K Annually
Mid level
61K-148K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
As a Data Analyst Sr, you will develop data warehouse capabilities to support financial and risk needs, manage ETL processes, and assist in data mapping and validation.
Top Skills: Data AnalyticsData MiningData WarehouseETLMachine Learning

This role can be performed remotely anywhere within the United States.

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.

#LI-DNI

About Fullstory

Fullstory is a leading behavioral data platform transforming how businesses understand and improve their digital experiences. Our technology empowers companies to uncover insights, optimize customer and employee journeys, and deliver exceptional online interactions. It makes every customer experience smoother and more personalized and empowers the employees behind the scenes. 

We’re building something special at Fullstory- and we’re looking for teammates who are curious, collaborative, and driven to make an impact. We’re especially excited about the potential of AI to enhance efficiency, spark creativity, and elevate our work. If that resonates, explore our Winning Ways to see the values that guide how we work and grow together.

How we support you:

Fullstorians are committed to building something better- from how we approach our product, to how we care for our customers and each other. Better is only possible when we can bring our full selves to work. Along these lines, we offer:

  • Autonomy and flexibility. From a remote-first work environment and flexible paid time off, to an annual company-wide closure – Fullstorians can focus on the moments that matter.

  • Benefits. Take care of the whole you. FullStory offers sponsored benefit packages for US-based Fullstorians, and supplemental coverage options for international Fullstorians.

  • Learning opportunities. We provide professional development opportunities through training programs, career coaching sessions, and an annual learning subsidy.

  • Productivity support. We provide all Fullstorians with a monthly productivity stipend and reimburse remote colleagues for their initial home office set up.

  • Team Collaboration. Connect with fellow Fullstorians in real life through team off-sites, a lively ATL home office, and annual full-company meet-up.

  • Paid parental leave. Fullstorians have the flexibility to balance the needs of their growing families without the added stress of figuring out work and finances.

  • Grow your family. We offer a global fertility and family building benefit that encompasses all journeys to growing your family.

  • Bereavement leave. Every family is different; we leave it to you to define who your family is, and support you when you need it most.

  • Miscarriage/Pregnancy loss leave. Whether it is for a Fullstorian or their partner – take the time you need.

Fullstory is proud to be an equal opportunity workplace dedicated to fostering an increasingly diverse community. We want candidates of all human varieties, backgrounds, and lifestyles. There’s no problem that can’t be made better by bringing together people with a broader set of perspectives. If our product, values, and community resonate with you, please apply - we'd love to hear from you!

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account