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 Data Analyst at iSpot.tv

Data Analyst

@

iSpot.tv

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Posted on: 
October 23, 2023
Status:
Expired
Views:
6

Summary of the Data Analyst job at iSpot.tv

iSpot.tv is hiring a Data Analyst with 0 - 3 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $68,000 - $79,000
About iSpot.tv

iSpot.tv helps advertisers measure the brand and business impact of TV and streaming advertising, from concept to airing to conversion. Fast, accurate and actionable measurement and attribution solutions enable advertisers to assess creative effectiveness, enhance media plans and attribute advertising results for cross-platform campaigns, all while benchmarking against competitors and historical norms. Unlike legacy and ad hoc solutions, iSpot is purpose-built to measure the performance of every ad on television with digital-like precision and granularity in real time. With always-on performance insights unified across linear and streaming TV, advertisers can take quick and confident action to consistently drive business results.

Data Analyst job description

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.

As an Entry-Level Data Analyst at iSpot.tv, you will play a vital role in assisting our data analytics team in collecting, analyzing, and interpreting data to provide valuable insights and support data-driven decision-making. You will work closely with senior analysts and data scientists while receiving training and mentorship to develop your skills in data analysis.

What You Will Be Up To

Data Analysis:

  • Perform basic data analysis using statistical tools and software.
  • Create charts, graphs, and reports to present findings.

Data Visualization:

  • Create visually appealing and informative data visualizations using tools like Excel, Tableau, or Power BI.

Reporting:

  • Generate regular reports and dashboards for internal stakeholders.
  • Assist in ad-hoc reporting and data requests.

Collaboration:

  • Collaborate with cross-functional teams to understand their data needs and provide relevant insights.
  • Participate in team discussions and share ideas to improve data analysis processes.

Continuous Learning:

  • Stay updated on data analysis best practices and industry trends.
  • Take part in training and professional development opportunities.
Data Analyst job requirements

About You

  • Bachelor's degree in a related field (e.g., Statistics, Mathematics, Computer Science, Economics).
  • Experience building models.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R).
  • Basic knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Excellent communication and teamwork skills.
  • Attention to detail and the ability to work independently.
  • A desire to learn and grow in the field of data analysis.

iSpot.tv cannot support visa sponsorships or transfers for this role.

What we offer at iSpot.tv

Target cash compensation range: $68,000-79,000 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.

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iSpot.tv

iSpot.tv

is hiring

Data Analyst

Website:
Posted on: 
March 3, 2024

About Our Company

iSpot.tv helps advertisers measure the brand and business impact of TV and streaming advertising, from concept to airing to conversion. Fast, accurate and actionable measurement and attribution solutions enable advertisers to assess creative effectiveness, enhance media plans and attribute advertising results for cross-platform campaigns, all while benchmarking against competitors and historical norms. Unlike legacy and ad hoc solutions, iSpot is purpose-built to measure the performance of every ad on television with digital-like precision and granularity in real time. With always-on performance insights unified across linear and streaming TV, advertisers can take quick and confident action to consistently drive business results.

Job Description & Responsibilities

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.

As an Entry-Level Data Analyst at iSpot.tv, you will play a vital role in assisting our data analytics team in collecting, analyzing, and interpreting data to provide valuable insights and support data-driven decision-making. You will work closely with senior analysts and data scientists while receiving training and mentorship to develop your skills in data analysis.

What You Will Be Up To

Data Analysis:

  • Perform basic data analysis using statistical tools and software.
  • Create charts, graphs, and reports to present findings.

Data Visualization:

  • Create visually appealing and informative data visualizations using tools like Excel, Tableau, or Power BI.

Reporting:

  • Generate regular reports and dashboards for internal stakeholders.
  • Assist in ad-hoc reporting and data requests.

Collaboration:

  • Collaborate with cross-functional teams to understand their data needs and provide relevant insights.
  • Participate in team discussions and share ideas to improve data analysis processes.

Continuous Learning:

  • Stay updated on data analysis best practices and industry trends.
  • Take part in training and professional development opportunities.

Requirements

About You

  • Bachelor's degree in a related field (e.g., Statistics, Mathematics, Computer Science, Economics).
  • Experience building models.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R).
  • Basic knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Excellent communication and teamwork skills.
  • Attention to detail and the ability to work independently.
  • A desire to learn and grow in the field of data analysis.

iSpot.tv cannot support visa sponsorships or transfers for this role.

What we offer

Target cash compensation range: $68,000-79,000 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.

Apply now

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