Responsibilities
- Generate, manage and forecast a sales pipeline on your own
- Navigate through complex sales cycles with some of the most prestigious companies in India
- Driving Business Growth Results for the company by efficient sales efforts.
- Specifically Responsible for Sales growth amongst enterprise clients.
- Generate outbound leads, qualify leads and manage the conversion funnel
- Provide demos to customers over web or in person, and answer first level technical questions
- Prepare proposals, negotiate and close deals.
- Pitch PazCare product to CEOs, CHROs & senior executives in the meetings
- Study, analyze and track customer feedback to optimize the sales funnel and pricing
- Coordinate with the marketing team for inbound leads and collateral
- Working closely with the Founding team for developing business development strategy
Requirement
- Has at least 3-5 years of previous experience in selling Group health Insurance to corporates at a broking firm, and closed at least 10 policies worth 50 lakhs - 1 crore or more OR Has at least 3-5 years of previous experience to selling CHROs, CFOs in India.
- Bachelor's degree
- Tech Startup DNA

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Notice Period: Immediate to 30 days/
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Job Title : Mulesoft Ops Lead
Location : 100% Remote
What we're looking for
- 7+ years of professional work experience in the Enterprise Integration domain.
- Must have experience of implementing 2-3 end to end enterprise level integration solutions.
- Experience in Design and Implement Integration solutions leveraging Mulesoft.
- Good Understanding of REST/SOAP principles and Dataweave.
- Candidates must have a good understanding of Anypoint platform and Anypoint Studio.
- Must be able to work as an individual contributor.
- Should have Strong knowledge on securing the web APIs data-integrity/confidentiality (Oauth 2. 0, Web JWT Token, x509 certificates).
- Should have Knowledge on API Management concepts and fundamentals.
- Should have exposure to Integration with Salesforce, Workday, and Database.
- Should have a good understanding of HTTP and HTTPS protocols and basic knowledge on HTTP headers, request/response, XML/JSON data structure, SOAP/REST services.
- Experience on any enterprise service bus product and/or JMS messaging.
- Should have knowledge on MUnit to automate testing.
- Experience on Oracle SOA, Oracle B2B is an advantage.
- Client facing roles so good communication skills are a must.
passion for building and delivering great software with a strong sense of ownership.
- 4+ years of experience in building web applications using React, Node.js, GraphQL integrations with NoSQL or relational database systems.
- Working experience in building and deployment applications on AWS platform a plus.
- Working experience on docker and microservice a plus.
- Strong experience with Build and Release, Agile processes and Estimation/Planning
- Must have strong debugging and troubleshooting skills, with solid understanding of logging and exception handling.
We are looking for a Data Engineer that will be responsible for collecting, storing, processing, and analyzing huge sets of data that is coming from different sources.
Responsibilities
Working with Big Data tools and frameworks to provide requested capabilities Identify development needs in order to improve and streamline operations Develop and manage BI solutions Implementing ETL process and Data Warehousing Monitoring performance and managing infrastructure
Skills
Proficient understanding of distributed computing principles Proficiency with Hadoop and Spark Experience with building stream-processing systems, using solutions such as Kafka and Spark-Streaming Good knowledge of Data querying tools SQL and Hive Knowledge of various ETL techniques and frameworks Experience with Python/Java/Scala (at least one) Experience with cloud services such as AWS or GCP Experience with NoSQL databases, such as DynamoDB,MongoDB will be an advantage Excellent written and verbal communication skills
Job Description
Create intelligent dashboards and analytics for business team using advanced excel/access and powerpoint
Understand the sales and leadership metrics and create business reports with insights and recommendation
Maintain documentation related to reports/procedures and personal tasks
Collaborate with internal team for required inputs within deadline
Perform quality checks for data correctness and execute with fine attention to details
2-5 years of industry experience in MIS reports
Proficiency in advanced excel including Macros
High attention to details with ability to keep track of the assigned tasks
Willingness to work on flexible hours, ability to plan, estimate deadlines, prioritize workload
Skills required:
1. Advanced excel knowledge
2. Practical knowledge of Macros
3. Graduation is necessary
4. Min. experience of 2-3 years
As a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.
➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ Enhancing data collection procedures to include information that is relevant for building analytic
systems
➢ Processing, cleansing, and verifying the integrity of data used for analysis
➢ Doing ad-hoc analysis and presenting results in a clear manner
➢ Creating automated anomaly detection systems and constant tracking of its performance
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.
What we are looking for:
➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.









