iSpot.tv Logo

iSpot.tv

Associate Data Analyst

Posted 7 Days Ago
Remote
Hiring Remotely in USA
77K-93K Annually
Junior
Remote
Hiring Remotely in USA
77K-93K Annually
Junior
Collects, processes, and analyzes data from multiple sources using R, Python, and SQL. Develops reports, visualizations, analytical methods, and data-driven insights while applying statistical and introductory machine learning techniques. Collaborates with internal and external stakeholders, documents project progress in JIRA, debugs code, clarifies requirements, and communicates findings through reports and presentations.
The summary above was generated by AI

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You’ll Be Part Of:

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

  • Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
  • Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
  • Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
  • Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
  • Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
Responsibilities:Your expected workday will consist of:
  • 5% Internal Collaboration
  • 95% Hands on: Reporting, Coding, Debugging, Developing, Methods, etc
Qualifications and Education Requirements:
  • Education: Bachelor's degree in a quantitative or social science field;
  • Coding Experience: 1+ year coding in SQL or Python;
  • Technical Knowledge: Introductory knowledge of Analytics, Statistics, and AI coding tools;
  • Communication: Exceptional written and verbal communication with internal stakeholders at all levels. Must be proactive and curious
Preferred Skills:
  • Experience with analytical and data processing software, such as AWS s3, Snowflake, and Databricks
  • Prior role in the Ad Tech industry
Additional Notes:
  • iSpot’s Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Issue identification; Willingness to ask questions; Time management; Focus and prioritization; Teamwork.
    Target cash compensation range: $76,787 - $92,916 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

HQ

iSpot.tv Bellevue, Washington, USA Office

15831 NE 8th St., Suite 100, Bellevue, Washington, United States, 98008

Similar Jobs

4 Days Ago
In-Office or Remote
Junior
Junior
Information Technology • Machine Learning • Analytics
Develops customer-facing reports and dashboards using regulatory intelligence data. Translates customer requests into scoped queries, extracts and validates data, builds visualizations and executive reports, performs QA, and manages delivery. The role requires interpreting FDA enforcement actions, Form 483 observations, warning letters, and inspection records while ensuring accurate, polished outputs. It also involves using BI tools, SQL, and AI-assisted workflows to support data exploration and reporting.
Top Skills: ClaudeLookerPower BIRedica McpSigmaSQLTableau
17 Minutes Ago
Remote or Hybrid
CA, USA
153K-270K Annually
Senior level
153K-270K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.
Top Skills: AnomaloApache AirflowApache IcebergAWSBuildkiteDatabricksDatahubDbtGitopsKotlinLookerOmniPrefectPythonSnowflakeTerraform
18 Minutes Ago
Remote
United States
Senior level
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own a US enterprise sales territory focused on landing net-new logos among companies with 1,000–10,000 employees. Build outbound pipeline, run full-cycle deals, lead MEDDPICC-based discovery, collaborate with Solutions Architects on technical evaluations, and engage data and AI executives. The role also contributes customer insights to Product and Marketing, develops segment strategy and sales collateral, and helps build the growing enterprise sales team.
Top Skills: AICollibraData ObservabilityDatabricksSnowflake

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account