Lead Data Analyst, iSpot.tv
$124-158k
+ Equity plan to receive stock options
More information about location
Real-time TV advertisement analytics platform
Open for applications
Real-time TV advertisement analytics platform
201-500 employees
Open for applications
$124-158k
+ Equity plan to receive stock options
More information about location
201-500 employees
Company mission
To unify ad measurement across creative, audience and outcomes to drive optimal video advertising performance for our customers.
Role
Who you are
- We are seeking a passionate Lead Data Analyst to join our dynamic Client Data Science team
- We’re looking for someone who shares our obsession with data accuracy and possesses an insatiable curiosity for learning and tackling challenging goals in a fast-paced environment
- Experience: 7+ years of experience in Analytics, Data Science, or related field
- Education: Bachelor's degree in a quantitative or social science field, Master's/PhD preferred
- Coding Experience: 5+ years coding experience and 4+ years coding specifically in R, Python, or SQL
- Coding Skill: Advanced coding skill in R, Python, or SQL
- Leadership Experience: 4+ year of project leadership
- Technical Knowledge: Advanced knowledge of Analytics, Statistics, and a BI software
- Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels
- 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: Intellectual curiosity; Willingness to test new approaches; Mentor mentality; Knowledge sharing
What the job involves
- Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses
- Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth
- In this role, you will design and develop custom reports tailored to our iSpot clients, providing them with the insights they need to succeed
- 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
- 5% People Mentorship
- 30% Project Leadership
- 15% Strategy, Planning and Prioritization
- 5% Internal or Client Collaboration
- 50% Hands on: Reporting, Coding, Debugging, Developing, Methods, etc
Our take
New streaming platforms and CTV provide novel data that shows great potential to improve advertising engagement. However, information such as how many times an ad was aired and watched, whether viewers were captivated, and how relevant it is to their viewing preferences can still be difficult to access.
iSpot.tv provides an ad measurement platform for TV, streaming platforms, and DSPs, allowing businesses to measure the success of their marketing campaigns in real time to fuel rapid optimization. The platform provides information such as brand recognition, purchase intent, likeability, and audience relevance, allowing businesses to benchmark this information against competitors to reduce wasted advertising spend and increase impressions. Over $500 billion of ad spend has been measured on the platform with almost 40 billion conversions attributed to iSpot.tv's service.
Whilst other marketing platforms are tackling similar obstacles to iSpot.tv, the company uniquely categorizes its data into insights that are easily understood and comparable relative to competitors. Furthermore, the company has ensured that its services are integrated with other 300 major streaming platforms and DSPs, futureproofing itself for the new wave of TV viewers.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2022
$325m
GROWTH EQUITY VC
Sep 2018
$30m
SERIES C
Total funding: $382.8m
Company benefits
- Healthcare: iSport offers two medical and dental plans for employees and their dependents as well as vision insurance. Employees may elect comprehensive individual coverage for medial, dental and vision for only $35/month
- Equity: Stock options are awarded upon hire. Additional grants may be rewarded during the compensation planning cycles
- Financial Wellbeing: iSport offers 401(k) and Roth 401(k) with a discretionary employer annual match. A tax advising benefit is offered via Carta. Short and long-term disability coverage and Life and AD&D insurance are also offered
- Health & Wellbeing: Virtual wellness classes, company wide wellness challenges, onsite health fair, as well as employee assistance program (EAP) are all offered as a way of supporting your health and wellbeing
- Tuition Reimbursement: Unlimited access to a comprehensive learning platform and tuition reimbursement to help advance your career at iSpot
Company HQ
West Lake Sammamish, Bellevue, WA
Leadership
Sean Muller
(Founder & CEO)Experience as CTO and Vice President of Product Development for eNom, Inc. Was also COO of MediaNet Digital, Inc. from 2008 to 2011.
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