MongoDB jobs - Salesforce Data Quality Associate-APAC

Salesforce Data Quality Associate-APAC

MongoDB
experience 1 to 4 Years
salary Salary not disclosed
qualification
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Posted: 3 Years ago
Views: 1
Applications: 1
Openings: 1

Job Description

What on Earth is MongoDB?

Only the coolest collection of dreamers and doers who share a relentless passion for creativity. We eagerly and expertly pursue new opportunities and markets through innovation and disruption. We have a wicked pioneering spirit--always ready to forge new paths and take smart risks. And we do it all very, very well.

MongoDB is also
  • The world’s most popular modern database, with over 40M+ downloads to date
  • Poised to disrupt a $59BN market and growing
  • Based in 34 locations worldwide
  • Home to over 1500 employees worldwide
Shift Timings: 2pm-10pm. Cabs will be provided.

Work Location: Gurgaon

You will have the opportunity to
  • Accelerate your career through exposure to the most effective sales methodology and through working side by side with the best sales professionals in the industry
  • Get insights and experience first-hand how an effective, fast-paced organization operates through learning about marketing/sales processes, collaboration and tools
  • Establish a strong network of peers and mentors
  • Gain insight into a $60b+ technology industry that is rapidly transforming
Responsibilities
  • Execute data cleanup measures, including removing duplicates and QAing newly created accounts
  • Perform data cleanliness activities such as reviewing and correcting both recurring and ad hoc data audits
  • Maintain complex Salesforce account hierarchies, reviewing sub-accounts to determine whether they should be kept, merged, or purged
  • Proactively manage periodic refreshes to firmagraphic and hierarchy data within Salesforce
  • Research and enrich Salesforce accounts with key data points from sources such as LinkedIn
  • Basic secondary research on Google to work on SFDC projects
  • Identify trends of issues, problems, and requests that may be symptoms of broader opportunities for improvements in processes, tools, or training
Requirements
  • Master’s degree with a minimum of 1 - 4 years of relevant experience
  • Prior experience working with Salesforce.com and familiarity with the basic Lead, Account, Contact, Opportunity structure, searching, editing records Prior experience working with bulk update tools like Data Loader or DemandTools a plus
  • Proficient in Microsoft Excel, e.g. should know commonly used functions like VLOOKUP, COUNTIFS, SUMIFS, Pivot Tables
  • Ability to learn prescribed tasks quickly, and grow into understanding and supporting less prescribed processes
  • Agility and flexibility in response to changing priorities
  • Excellent communication skills
  • Strong problem-solving skills
  • Should be open for process-oriented work
Life at MongoDB

Our India office culture
  • 120+ people, with teams in Sales, Engineering, HR, Finance, IT & Marketing
  • Regular group outings and opportunities to get to know your colleagues
  • Employee affinity groups
Our Benefits
  • Competitive salary and equity
  • Comprehensive Health cover, dental cover, travel insurance & Life Insurance
  • Free lunch twice per week and a fully stocked kitchen with healthy and sweet treats
  • Macbooks are company standard
  • 26 weeks Maternity & 20 Paternity leave to spend time with new arrivals
*MongoDB is an equal opportunities employer*

Job Particulars

Who can applyExperienced (1 to 4 Years)
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id373943
StateHaryana
Country India

About Company

Salesforce Data Quality Team @ MongoDB

MongoDB is one of the fastest-growing enterprise software companies in the world. To fuel this growth, we are hiring Salesforce Data Quality Associates to proactively maintain customer and prospect data. The Data Quality Associate will be part of our newly-formed Data Stewardship team, and is responsible for ensuring that Sales Operations Analysts and Sales Leadership have access to high-quality information required to make data-driven decisions.
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