Pre Sales Data (Apprentice)

Mumbai - IndiaApprenticemid

SalesAccount Executive

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics,

Technical Tools

SalesAccount Executive

Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

About the Role:

Dun & Bradstreet is looking for enthusiastic and motivated individuals to join as Apprentices. This role offers a great opportunity to gain hands-on experience in a professional corporate environment while developing key business and operational skills.

Program Details:

Duration: 12 months apprenticeship
Work Model: 5 days working from office
Location: Turbhe, Navi Mumbai

Data crunching to screen and process the data and provide it to internal calling team and sales team through advanced excel.

Data cleansing, de-duplication to be done on the data maintained offline to avoid reallocation of the renewal customer accounts and the leads where team is in touch.

Utilization of internal application - to be used for allocation of data to the sales and inside sales team.

Experienced in analyzing sales data using Excel and Power BI.

Able to create reports and dashboards to visualize data effectively.

Proficient in using Power Query in Power BI to clean data.

Able to ensure that filter context flows downstream from lookup tables to data tables. o Experienced in preparing and reviewing weekly pipeline and sales dashboards with top management.

Skilled in managing and coordinating sales data analysis.

Possesses strong organizational skills and attention to detail.

Capable of prioritizing tasks based on their importance and urgency.

To ensure that the leads coming in through various sources are collated and screened for further allocation to sales team.

Timely feedback shared with the relevant stakeholders to update the database.

Sharing Dashboard with the Management on a Monthly basis for various associations/channels.

Recon with Marketing Communication team to be done on a weekly basis on the leads received.

Managing the lead inflow and allocation through the DUNS Tracker tool to ensure process adherence on lead management.

Activation of DRS/ERS through online portal

Contact Data to be provided for the various email campaigns.

Data and dashboards to be maintained for email campaigns.

Initiating Email Blast through Marketo for the team to generate leads.

Taking up additional responsibilities whenever required for new projects.

Expert level proficiency in advance Excel and POWER BI. Should be able to use Macros.

Freshers with some relevant internship experience in data management

Should be a graduate, post graduate preferrable.

Good communication and interpersonal skills

Possesses strong organizational skills and attention to detail

Capable of prioritizing tasks based on their importance and urgency

Effective collaboration with the sales team and key stakeholders through proactive engagement.

Willingness to work from the office five days a week, with flexibility to extend working hours during high-demand periods.

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.