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 Data Analyst, Marketplace at OpenSponsorship

Data Analyst, Marketplace

@

OpenSponsorship

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Posted on: 
July 27, 2023
Status: 
Expired
Views:
1

Summary of the Data Analyst, Marketplace job at OpenSponsorship

OpenSponsorship is hiring a Data Analyst, Marketplace 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 $70,000 - $80,000
About OpenSponsorship

OpenSponsorship connects brands and athletes together.

Our platform is a digital market place where brands can create marketing campaigns and sponsor athletes to act on them. OpenSponsorship has over 15,000 athletes and growing.

Data Analyst, Marketplace job description

We are seeking an experienced Data Analyst to join our team. This is a cross-functional role where you will interact with members of the sales, marketing, engineering, operations and product team. Our ideal candidate will have a solid quantitative background, experience in data manipulation and visualization and will always strive to learn and improve. Previous experience in martech or at a marketplace preferred.

Responsibilities

  • Work closely with our marketing, business, engineering, and product teams to track KPIs and identify areas of growth
  • Perform exploratory data analysis to gain deep understanding of how the data will advise the business decision
  • Present to executive and non-technical audience and uncover insights by telling compelling stories using the data and visualizations
  • Draw & present hypotheses from the raw data without coming to conclusions.
  • Building internal tools that support the analytical need of functional data analysis
  • Maintain and support our existing data ETL pipeline and data analytics tools, including Google Analytics, Mixpanel, and etc
  • Design and development of dashboards and data visualization views
  • Continuously look for ways to improve, automate, and scale the current data process and analytics capabilities
Data Analyst, Marketplace job requirements

Qualifications

  • 1+ years of highly analytical experience in data analytics or business intelligence (non internship)
  • Bachelor’s degree in technical or quantitative fields such as Analytics, Mathematics, Engineering, and Computer science
  • Advanced SQL skills. Proficiency in Python (pandas) with an emphasis on data manipulation and visualization is strongly preferred.
  • Proficient in data visualization tool such as Tableau
  • Experience with non-relational database such as MongoDB is a plus
  • Strong interpersonal and communication skills
  • Detail-oriented and highly organized
  • Ability to adapt and thrive in a fast-paced environment
What we offer at OpenSponsorship

We are hiring remotely in the U.S., offer a great compensation package, company provided healthcare, 401K, generous holidays AND a supportive team and an amazing product and mission to get behind. Our company values are accessibility, transparency and education -- and we live this outward when thinking about customers, and inwards when considering our own culture. We are a diverse & passionate team that’s working to democratize the global sports marketing industry.

Apply now

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Average data analyst salary in the Tech industry is $114,962.
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OpenSponsorship

OpenSponsorship

is hiring

Data Analyst, Marketplace

Website:
Posted on: 
November 22, 2024

About Our Company

OpenSponsorship connects brands and athletes together.

Our platform is a digital market place where brands can create marketing campaigns and sponsor athletes to act on them. OpenSponsorship has over 15,000 athletes and growing.

Job Description & Responsibilities

We are seeking an experienced Data Analyst to join our team. This is a cross-functional role where you will interact with members of the sales, marketing, engineering, operations and product team. Our ideal candidate will have a solid quantitative background, experience in data manipulation and visualization and will always strive to learn and improve. Previous experience in martech or at a marketplace preferred.

Responsibilities

  • Work closely with our marketing, business, engineering, and product teams to track KPIs and identify areas of growth
  • Perform exploratory data analysis to gain deep understanding of how the data will advise the business decision
  • Present to executive and non-technical audience and uncover insights by telling compelling stories using the data and visualizations
  • Draw & present hypotheses from the raw data without coming to conclusions.
  • Building internal tools that support the analytical need of functional data analysis
  • Maintain and support our existing data ETL pipeline and data analytics tools, including Google Analytics, Mixpanel, and etc
  • Design and development of dashboards and data visualization views
  • Continuously look for ways to improve, automate, and scale the current data process and analytics capabilities

Requirements

Qualifications

  • 1+ years of highly analytical experience in data analytics or business intelligence (non internship)
  • Bachelor’s degree in technical or quantitative fields such as Analytics, Mathematics, Engineering, and Computer science
  • Advanced SQL skills. Proficiency in Python (pandas) with an emphasis on data manipulation and visualization is strongly preferred.
  • Proficient in data visualization tool such as Tableau
  • Experience with non-relational database such as MongoDB is a plus
  • Strong interpersonal and communication skills
  • Detail-oriented and highly organized
  • Ability to adapt and thrive in a fast-paced environment

What we offer

We are hiring remotely in the U.S., offer a great compensation package, company provided healthcare, 401K, generous holidays AND a supportive team and an amazing product and mission to get behind. Our company values are accessibility, transparency and education -- and we live this outward when thinking about customers, and inwards when considering our own culture. We are a diverse & passionate team that’s working to democratize the global sports marketing industry.

Apply now
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