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About the Role
Validity is seeking a Data Analyst reporting to our Sr. Director, Data Product Operations in our Broomfield, Colorado office, to support the data-driven solutions at Validity.
The Data Analyst provides friendly, efficient, effective service operations, solving problems and designing and running operations for Validity helping them drive revenue and ensuring client satisfaction.
The Data Product Operations Analyst will be responsible for operational support of various Products and Services at Validity including Email Optimization, Data, and Certification services. You will organize, develop, and operationalize existing workflows, manage and improve existing processes, support partners and customers on service delivery and configurations. You will partner with cross-functional team members in Product, Engineering, Service, Support, and Finance, among others.
Position Duties and Responsibilities
Required Experience, Skills, and Education
Preferred Experience, Skills, and Education
Pay Range: Approximately $60,000- $70,000 base, plus bonus opportunities and stock options.
About Validity
For over 20 years, tens of thousands of organizations across the world have relied on Validity solutions to target, contact, engage, and retain customers – using trustworthy data as a key advantage. Validity’s flagship products – Everest, DemandTools, BriteVerify, and GridBuddy Connect – are all highly rated, #1 solutions for sales and marketing professionals. These solutions deliver smarter email campaigns, more qualified leads, more productive sales, and ultimately faster growth.
Validity is a truly unique company - massive revenue growth, top-tier investors, 5-star product ratings, proven ability to acquire and integrate top tech companies and welcome them into the Validity family, a winning culture, and a work environment that fosters hard work, trust, and fun.
Headquartered in Boston, Validity has offices in Tampa, Denver, London, Paris, Sao Paulo, and Sydney. For more information, connect with us on LinkedIn, Instagram, and Twitter.
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Validity is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
Full Time
Telecommunications
10/06/2022
12/12/2022
validity.com
BOSTON, MA
50 - 100
2018
MATT BLUMBERG
$10M - $50M
Telecommunications
For over 20 years, tens of thousands of organizations across the world have relied on Validity solutions to target, contact, engage, and keep customers using trustworthy data as a key advantage. Validitys flagship products DemandTools, BriteVerify, Trust Assessments, GridBuddy Cloud, and Everest are all highly rated, #1 solutions for CRM data management, email address verification, inbox deliverability and avoiding the spam folder, and grid CRM applications. These solutions deliver smarter campaigns, more qualified leads, more productive sales, and ultimately faster growth.
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A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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