Pre-Sales Consultant
Pre-Sales Consultant
Posted on :
07-03-2024
Employer Active
1 Vacancy
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Job Description
Req ID : 2598374
Summary:
We are seeking a highly motivated and enthusiastic PreSales Consultant to join our growing team. In this role you will play a crucial part in supporting the sales team providing technical expertise and assisting with the development and delivery of
engaging proposals presentations and demonstrations. This is an excellent opportunity for an individual with a strong desire to learn and contribute to a dynamic and successful team.
Responsibilities:
- Assist the sales team in preparing proposals and presentations.
- Deliver product demonstrations and technical presentations to potential customers.
- Gather feedback from potential customers and communicate it to the sales team.
- Stay uptodate on the latest industry trends and product developments especially in the world of Data & Analytics.
- Participate in sales meetings and contribute to the development of sales strategies for successful conversion.
- Support the sales team in closing deals.
Requirements
Qualifications:
- Minimum Bachelors s degree in Engineering or Master of Computer Application.
- A minimum of 3 years of experience in Data and BI.
- Strong understanding of technology trends and emerging solutions relevant to the industry.
- Excellent communication presentation and interpersonal skills.
- Ability to work independently and as part of a team.
- Highly motivated and selfdirected with a strong work ethic.
- Proficiency in Microsoft Office Suite (Word Excel PowerPoint).
- Experience with CRM systems (a plus).
Technical Capabilities:
- Experience in Azure PaaS Services i.e. Data Factory Synapse Fabric Data bricks etc.
- Good knowledge & handson experience in Spark with Python (2 years).
- 2 years in Power BI should be well versed with concepts of building Dashboards/Reporting.
- Must have worked in Pre Sales Solutioning.
- Should know how to perform project estimation and figure out implementation timeline.
- Good to have development experience using big data frameworks/Hadoop stack such as HBase Yarn HDFS Hive and Presto.
- Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses.
- Experience using NoSQL databases such as Cassandra HBase MongoDB DynamoDB Elastic Search.
- Experience with streamprocessing systems: Storm SparkStreaming etc.
- Experience with Databases and SQLs.
- Strong analytic skills related to working with unstructured datasets and building processes supporting data transformation data structures metadata dependency workload management etc.
- Good to know : Data Governance Data Quality MDM Lineage Data Catalog etc.
- Should have working knowledge on data and cloud warehousing.
- A successful history of manipulating processing and extracting value from large disconnected datasets.
- Experience supporting and working with crossfunctional teams in a dynamic environment.
- Strong understanding of Cloud Migration processes methods and project lifecycle.
- Good communication problem solving and presentation skills.
Benefits
1. Culture:
- Open Door Policy: Encourages open communication and accessibility to management.
- Open Office Floor Plan: Fosters a collaborative and interactive work environment.
- Flexible Working Hours: Allows employees to have flexibility in their work schedules.
- Employee Referral Bonus: Rewards employees for referring qualified candidates.
- Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
- Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
- Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
- GMC and Term Insurance: Offers medical coverage and financial protection.
- Health Insurance: Provides coverage for medical expenses.
- Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
- Companysponsored family events: Creates opportunities for employees and their families to bond.
- Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
- Family Medical Leave: Offers leave for employees to take care of family members medical needs.
5. Perks and TimeOff Benefits:
- Companysponsored outings: Organizes recreational activities for employees.
- Gratuity: Provides a monetary benefit as a token of appreciation.
- Provident Fund: Helps employees save for retirement.
- Generous PTO: Offers more than the industry standard for paid time off.
- Paid sick days: Allows employees to take paid time off when they are unwell.
- Paid holidays: Gives employees paid time off for designated holidays.
- Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
6. Professional Development Benefits:
- L&D with FLEX Enterprise Learning Repository: Provides access to a learning repository for professional development.
- Mentorship Program: Offers guidance and support from experienced professionals.
- Job Training: Provides training to enhance jobrelated skills.
- Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
- Promote from Within: Encourages internal growth and advancement opportunities.
Qualifications: Minimum Bachelor's s degree in Engineering or Master of Computer Application. A minimum of 3+ years of experience in Data and BI. Strong understanding of technology trends and emerging solutions relevant to the industry. Excellent communication, presentation, and interpersonal skills. Ability to work independently and as part of a team. Highly motivated and self-directed with a strong work ethic. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Experience with CRM systems (a plus). Technical Capabilities: Experience in Azure PaaS Services, i.e. Data Factory, Synapse, Fabric, Data bricks etc. Good knowledge & hands-on experience in Spark with Python (2+ years). 2+ years in Power BI, should be well versed with concepts of building Dashboards/Reporting. Must have worked in Pre Sales Solutioning. Should know how to perform project estimation and figure out implementation timeline. Good to have development experience using big data frameworks/Hadoop stack such as HBase, Yarn, HDFS, Hive, and Presto. Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses. Experience using NoSQL databases such as Cassandra, HBase, MongoDB, DynamoDB, Elastic Search. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with Databases and SQLs. Strong analytic skills related to working with unstructured datasets and building processes supporting data transformation, data structures, metadata, dependency, workload management etc. Good to know : Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc. Should have working knowledge on data and cloud warehousing. A successful history of manipulating, processing and extracting value from large, disconnected datasets. Experience supporting and working with cross-functional teams in a dynamic environment. Strong understanding of Cloud Migration processes, methods and project lifecycle. Good communication, problem solving and presentation skills.
Employment Type
Full Time
Key Skills
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