Job details
Job type full-time
Full job description
Why we work at dun & bradstreet we are at a transformational moment in our company journey - and we’re so excited about itEach day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growthOur purpose is to help customers improve business performance with dun & bradstreet’s data cloud and live business identity, and we’re wildly passionate and committed to this purposeSo, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!
The go-to-market decision science team within dun & bradstreet is responsible for turning data into insights and insights into key business decisions that steer the strategic direction of the sales, marketing and product organizationsIn this role, you will work closely with cross-functional leaders and managers to develop data-informed strategies to monitor and optimize sales and marketing programsYou will report on key business measures, deliver insights, develop compelling data visualizations, data mine, and tell our story to current and prospective business partners.
Responsibilities:
Build analyses, data visualizations, and multi-functional reporting that provides critical support to the operations and decision-making of the organization.
Present analyses and findings to stakeholders; `telling the story` and identifying drivers and opportunities of business performance.
Partner with the it team to acquire, analyze, clean and structure data that can be leveraged for insights generation.
Build and create automated, scalable processes to provide the sales organization with proactive analytics on sales performance to drive data-driven decisions.
Create and deliver accurate, high-quality, thoughtfully designed analyses to operational and strategic questions.
Basic qualifications:
Bachelors or masters in analytics, information systems, statistics, or other quantitative discipline field.
7 or more years of experience as an analyst in sales and marketing analytics domain with advanced analysis preferably at a high-tech or software company.
Basic understanding of systems like salesforce, sap, redshift, snowflake, etc.
Experience displaying data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables; proficiency with business visualization tools like (tableau & power bi).
Hands-on experience conducting quantitative analyses on large data sets; experience with excel (pivot tables, vlookup, etc.) and tableau.
Proficient knowledge of sql (inclAggregate functions, joins, etc.).
High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
Analytical and problem-solving skills, combined with strong business judgment and ability to present analysis in a clear and compelling manner.
Role can be based in any us based location.
Preferred qualifications
Experience with systems of the sales, marketing and finance tech stack in the context of business data insight development, such as salesforce, sap, marketo, outreach, adobe analytics etc.
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Dun & bradstreet is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by lawView the eeo is the law poster here and its supplement hereView the pay transparency policy here.
We are committed to equal employment opportunity and providing reasonable accommodations to qualified candidates and employeesIf you are interested in applying for employment with dun & bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to acquisitiont@dnb.comDetermination on requests for reasonable accommodation are made on a case-by-case basis.
