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Software Engineer - Noida, India - GEDU Services
Description
KeyResponsibilities :
Must Have a Functional Technical Understanding of
ZOHO CRM plus/
ZOHO Onepackage applications.
Managing all
ZOHO applications for internal teams including - workflows, knowledgebase setup, and user access management.
Process mapping (Approval Process, lead scoring rule, assignment rule, blueprint etc.)and workflow creation.
Applying best practices on
ZOHO CRM and other relevant
ZOHO Applications like Desk,Creator, Project, Campaign, Sales IQ etc to derive the best outcomes for us.
ZOHO Applications as well as 3rd Party Applications.
Understanding of Deluge Scripting / Custom functions,
ZOHO REST API, JavaScript,widget for complex implementation projects.
The
ideal
candidate
will
also
play
a
key
role
in
extracting
insights
from
complex
datasetsusing
ZOHO
Analytics
to
drive
informed
business
decisions.
Creation of reports and dashboards on all
ZOHO Apps, including
ZOHO Analytics.
Conduct in-depth data analysis to identify trends and patterns.
Ensure seamless data integration from various sources into
ZOHO Analytics.
(Example:
Oracle ERP, VB, Power BI, Meta and Google Ads)Develop and manage data models to support reporting requirements.
Collaborate with cross-functional teams to understand data needs.
Troubleshoot and resolve data-related issues.
Provide training and support to end-users on
ZOHO Analytic usage.
Technical
Skills :2-5 years of strong Experience in building or implementing requirements on
ZOHO CRMplus products,
ZOHO Creator,
ZOHO Projects and
ZOHO one suite.
ZOHO custom functions, with a deep understanding of Deluge,
ZOHO REST API, Widget and Scheduler.
Experience and knowledge of relational databases, including work with MySQL,SQL Server, Oracle, or other common RDBMS.Knowledge of Any Language PHP, Python, , Java, C#Understanding of Integration of websites, landing pages, social networking sites with
ZOHO CRM using any third-party app like
ZOHO Flow, Zapier, Webhook etc.
ZOHO Analytics or similar business intelligence tools.
Strong data visualization skills and the ability to communicate insights effectively.
Proficiency in SQL Query table, KPI for data querying and manipulation.
Excellent problem-solving and analytical skills.
Attention to detail and commitment to data accuracy.
Effective communication and collaboration skills.