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Senior Data Analyst - InsuranceNewSenior Data Analyst - InsuranceNew
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Posted 2 months ago
Published: 2025-06-12  •  San Francisco, Argentina (city)
Data Analyst
AWS
ML Engineer
SQL
Java
Python
Business Intelligence
Swift
Agile
Scrum
$70k - $90k
On-site
Full-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.

Senior Data QA Analyst

Remote

iSpot.tv 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.

About iSpot:

At iSpot, we empower advertisers to measure the true impact of their TV and streaming campaigns—from concept through airing to conversion. Our fast, accurate, and actionable measurement and attribution solutions enable advertisers to evaluate creative effectiveness, optimize media plans, and attribute results across platforms, all while benchmarking against competitors and historical data. With real-time performance insights seamlessly integrated across linear and streaming TV, iSpot equips advertisers to make swift, confident decisions that drive impactful business results.

About the Role:

We are seeking a Senior Data QA Analyst to join our team. In this role, you will analyze and understand, inside and out, all data streams collected, calculated, and attributed by iSpot and coordinate and lead testing efforts with other analysts.

Responsibilities:

You will be responsible for a variety of critical tasks, including:

  • Analyze and understand, inside and out, all data streams collected, calculated, and attributed by iSpot.
  • Coordinate and lead testing efforts with other analysts.
  • Design and implement testing plans for products.
  • Build data monitoring and test automation tools using either Python or Java.
  • Conduct peer reviews on other team members’ code and provide feedback to junior and mid-level analysts’ SQL and Java/Python code.
  • Conduct root cause analyses and investigate production data issues while collaborating with other teams.
  • Identify procedures and scenarios for the quality control of products and services.
  • Process product reviews and inform the development team of defects and errors.
  • Communicate quantitative and qualitative findings from test results to the development team.
  • Monitor efforts to resolve product issues and track progress.
  • Ensure that the final product satisfies the product requirements and meets end-user expectations.
  • Spot areas for improvement to enhance the product's efficiency.
  • Mentor, train, and operate as a technical subject matter expert and thought leader for junior and mid-level analysts.

Qualifications:

  • Bachelor’s degree or foreign equivalent in Business with a major in Management Information Systems, Computer Science, Business Analytics, or related field.
  • 4 years of experience as a Senior Data QA Analyst, Advanced Data Analyst, Data Analyst, Business Analyst, or similar duties under a different job title.
  • Experience to include:
    • At least 3 years with the following: SQL; Snowflake; Redshift; process automation and improvement; Python; Tableau, Looker, Power BI, Mode Analytics, or OBIEE; data pipelines’ implementation and validation; AWS or equivalent; data storytelling and presentation; test planning, feedback, and execution; Agile/Scrum development processes.
    • 2 years using the statistical and machine learning models.
    • 1 year using automated testing tools.
    • 1 year of project management experience.

 

Salary range: $126,090 to $142,010 annually

Worksite: 15831 NE 8th St., Ste 100, Bellevue, WA 98008 with the option to work from a home office located anywhere in the U.S.

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; El Segundo, CA; 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.

iSpot.tv 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.

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.

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