Back to all jobs
 Data Analyst, Product at Radancy

Data Analyst, Product

@

Radancy

Key information

Apply now
Posted on: 
July 19, 2024
Status: 
Expired
Views:
2

Summary of the Data Analyst, Product job at Radancy

Radancy is hiring a Data Analyst, Product with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $80,000 - $85,000
About Radancy

Radancy is the leading cloud-based talent acquisition software provider intelligently solving the most critical challenges for enterprises globally and delivering cost-efficient outcomes that strengthen their organizations. The Radancy Talent Acquisition Cloud, powered by rich data and deep industry insights, optimizes the entire candidate journey, enabling enterprises to hire the most qualified talent faster, while reducing costs and driving higher ROI, recruiter efficiency and an improved candidate experience.

Headquartered in New York City with a footprint that spans the world, we are one company committed to predicting, defining and creating the future of our industry in partnership with our 1000+ global customers.

Want to see what we can achieve together? Learn more at radancy.com

Data Analyst, Product job description

As a Product Data Analyst, you will play a critical role in analyzing and interpreting data to provide actionable insights that will shape our products and strategies. You will work closely with cross-functional teams, including product management, engineering, and marketing, to ensure data-driven decision-making and continuous improvement of our products.

Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications below.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and opportunities for product optimization.
  • Develop and maintain dashboards and reports to track key performance metrics.
  • Collaborate with product managers to define and measure product success metrics.
  • Conduct A/B testing and other experiments to validate hypotheses and improve product features.
  • Utilize Python and SQL to extract, manipulate, and analyze data from various sources.
  • Leverage Google Analytics to track and analyze user behavior and campaign performance.
  • Work with Google Cloud Platform (GCP) to manage and analyze large-scale datasets.
  • Provide insights and recommendations to support data-driven product development and marketing strategies.
  • Communicate findings and insights to stakeholders through clear and compelling data visualizations and presentations.
  • Stay up-to-date with industry trends and best practices in data analytics and advertising technology.
Data Analyst, Product job requirements

Qualifications:

  • Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
  • Strong proficiency in Python and SQL for data analysis and manipulation.
  • Experience with Google Analytics for tracking and analyzing user behavior and campaign performance.
  • Experience working with Google Cloud Platform (GCP) for managing, manipulating, and analyzing large-scale datasets.
  • Previous experience in website analytics, SEO, or with advertising data is highly desirable.
  • Strong analytical and problem-solving skills with the ability to derive actionable insights from complex datasets.
  • Excellent communication skills, both written and verbal, with the ability to present data findings clearly and concisely.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.
  • Detail-oriented with a strong focus on accuracy and quality.
  • Experience with data visualization tools such as Tableau, Looker Studio, or similar.

Preferred Qualifications:

  • Knowledge of machine learning techniques and advanced statistical models
  • Advanced degree (Master's or Ph.D.) in a relevant field.
  • Experience in Sigma Computing
What we offer at Radancy

Life and Wellness at Radancy: At Radancy, we prioritize your well-being and offer a comprehensive range of benefits and perks designed to enhance your life, both professionally and personally. Our total rewards package reflects our commitment to ensuring you have the support you need to thrive. Here's a glimpse of what you can expect:

  • Medical including plans with 100% coverage for most in-network services, Dental, Vision, Life and AD&D Insurance, Supplemental Life Insurance, Health Care FSA, Dependent Care FSA, Transportation FSA, Parking FSA , Employee Assistance Program (EAP)
  • The Radancy Give Back Day Program allows our employees to contribute to their communities by volunteering one day per quarter. This initiative promotes collaboration and enriches lives while supporting local organizations chosen by each office location.
  • Experience a range of 9 dynamic diversity programs, coordinated by ERGs and Marketing, including 48+ live sessions and 25 individual of Each One Teach One content. From wellness initiatives like Mental Health Moments and Mindfulness Club to educational events such as Pronouns Workshop and Dialogues Panels, our programs are rooted in education and intention, fostering a culture of inclusivity and growth.
  • As part of our Onboarding Recognition Program, you can thank those who helped you settle in by sharing eGift cards. It's one of the ways we appreciate your contribution and value the relationships you build here.
  • Opportunities for professional development and career growth in a dynamic global company.

Salary Range: USD $80,000.00 – $85,000.00*

  • The above range is based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific office location.

Please mention “I found this job at DataAnalyst.com!” in your application, it will help us offer you more opportunities

insertpageurl
Thank you for reporting
Oops! Something went wrong while submitting the form.

What about the salary?

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

Apply now

Please mention: “I found this job at DataAnalyst.com” in your application, it will help us offer you more opportunities.

Apply now

Looking for a career change?

Apply to Business Analyst jobs, at our network site.
BusinessAnalyst
.com
Radancy

Radancy

is hiring

Data Analyst, Product

Website:
Posted on: 
September 6, 2024

About Our Company

Radancy is the leading cloud-based talent acquisition software provider intelligently solving the most critical challenges for enterprises globally and delivering cost-efficient outcomes that strengthen their organizations. The Radancy Talent Acquisition Cloud, powered by rich data and deep industry insights, optimizes the entire candidate journey, enabling enterprises to hire the most qualified talent faster, while reducing costs and driving higher ROI, recruiter efficiency and an improved candidate experience.

Headquartered in New York City with a footprint that spans the world, we are one company committed to predicting, defining and creating the future of our industry in partnership with our 1000+ global customers.

Want to see what we can achieve together? Learn more at radancy.com

Job Description & Responsibilities

As a Product Data Analyst, you will play a critical role in analyzing and interpreting data to provide actionable insights that will shape our products and strategies. You will work closely with cross-functional teams, including product management, engineering, and marketing, to ensure data-driven decision-making and continuous improvement of our products.

Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications below.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and opportunities for product optimization.
  • Develop and maintain dashboards and reports to track key performance metrics.
  • Collaborate with product managers to define and measure product success metrics.
  • Conduct A/B testing and other experiments to validate hypotheses and improve product features.
  • Utilize Python and SQL to extract, manipulate, and analyze data from various sources.
  • Leverage Google Analytics to track and analyze user behavior and campaign performance.
  • Work with Google Cloud Platform (GCP) to manage and analyze large-scale datasets.
  • Provide insights and recommendations to support data-driven product development and marketing strategies.
  • Communicate findings and insights to stakeholders through clear and compelling data visualizations and presentations.
  • Stay up-to-date with industry trends and best practices in data analytics and advertising technology.

Requirements

Qualifications:

  • Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
  • Strong proficiency in Python and SQL for data analysis and manipulation.
  • Experience with Google Analytics for tracking and analyzing user behavior and campaign performance.
  • Experience working with Google Cloud Platform (GCP) for managing, manipulating, and analyzing large-scale datasets.
  • Previous experience in website analytics, SEO, or with advertising data is highly desirable.
  • Strong analytical and problem-solving skills with the ability to derive actionable insights from complex datasets.
  • Excellent communication skills, both written and verbal, with the ability to present data findings clearly and concisely.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.
  • Detail-oriented with a strong focus on accuracy and quality.
  • Experience with data visualization tools such as Tableau, Looker Studio, or similar.

Preferred Qualifications:

  • Knowledge of machine learning techniques and advanced statistical models
  • Advanced degree (Master's or Ph.D.) in a relevant field.
  • Experience in Sigma Computing

What we offer

Life and Wellness at Radancy: At Radancy, we prioritize your well-being and offer a comprehensive range of benefits and perks designed to enhance your life, both professionally and personally. Our total rewards package reflects our commitment to ensuring you have the support you need to thrive. Here's a glimpse of what you can expect:

  • Medical including plans with 100% coverage for most in-network services, Dental, Vision, Life and AD&D Insurance, Supplemental Life Insurance, Health Care FSA, Dependent Care FSA, Transportation FSA, Parking FSA , Employee Assistance Program (EAP)
  • The Radancy Give Back Day Program allows our employees to contribute to their communities by volunteering one day per quarter. This initiative promotes collaboration and enriches lives while supporting local organizations chosen by each office location.
  • Experience a range of 9 dynamic diversity programs, coordinated by ERGs and Marketing, including 48+ live sessions and 25 individual of Each One Teach One content. From wellness initiatives like Mental Health Moments and Mindfulness Club to educational events such as Pronouns Workshop and Dialogues Panels, our programs are rooted in education and intention, fostering a culture of inclusivity and growth.
  • As part of our Onboarding Recognition Program, you can thank those who helped you settle in by sharing eGift cards. It's one of the ways we appreciate your contribution and value the relationships you build here.
  • Opportunities for professional development and career growth in a dynamic global company.

Salary Range: USD $80,000.00 – $85,000.00*

  • The above range is based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific office location.
Apply now
Back to all jobs

Featured data analyst jobs

All jobs