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1. Generating a pool of prospects by identifying the need of up skilling depending on the
student’s area of interest.
2. Helping prospective students with the detailed information about the programs offered
through phone or video counselling & creating a strong pipeline.
3. Ensure to meet daily deliverables & achieve weekly/monthly enrolment target.
4. Help them understand the importance of navigating a career.
5. Must be a good listener and be trained in matching candidate needs to a future career.
Salary: Our salaries commensurate with prevailing industry standards coupled with lucrative
Incentives.
Qualifications Eligibility & Offerings
Graduate/Post Graduate in any discipline.
Freshers & Experienced (1-3 years) both can apply.
Remuneration range (Fixed) 2.5-4.5LPA.
Attractive Incentive Structure.
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About Hike Education Private Limited
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Backend Developer/Full Stack Developer Job Description - We are looking for developers who can convert complex business problems into tech deliverables, build scalable systems and work in a fast-paced environment.
Responsibilities:
Building scalable and robust applications.
Building and maintaining reusable code for future use.
Actively participate in code reviews.
Troubleshooting and debugging.
Following predefined design guidelines.
Timely delivery of tasks
Proficient and fast in implementing required processes across teams.
Innovative and open to trying/learning new things to improve the system or processes.
Skills required
Proven experience as a Full Stack Developer/Backend Developer
Experience with large-scale architectural patterns, event-driven microservices, well-designed APIs, and efficient algorithms.
Knowledge of at least 1 Object Oriented Programming language (e. g. Node.js, Python)
Knowledge of at least 1 Relational database and familiarity with NoSQL databases.
Problem-solving skills.
Excellent communication and teamwork skills.
Git/BitBucket
Optional skills -
React/React Native
Docker
Terraform
CI/CD
AWS
Web technologies
Must haves - Javascript, Object Oriented Programming, Git
Desiered Profile:
- Strong understanding of ServiceNow platform architecture,applications and modules
- Experience with integrations between ServiceNow and other
tools/systems - Proficient in all phases of the Application Development
lifecycle with experience in an agile environment - Excellent verbal and written communication skills, with
experience interacting with clients at multiple levels - ServiceNow certifications are preferred
- Experience with Knowledge Base platforms, ideally
ServiceNow Knowledge Management application is a plus
Create and design various materials for print and digital collateral
Ensure projects are completed with high quality and on schedule
Establish creative direction for the company as well as brand guidelines
Prioritize and manage multiple projects within design specifications and budget restrictions
Perform retouching and manipulation of images
Work with a wide range of media and use graphic design software
Skills Required:
1.5 - 2 years of experience in graphic design
Knowledge of layouts, graphic fundamentals, typography, print, and the web
Familiarity with HTML and CSS preferred
Hands on Experience in Adobe Photoshop and CorelDraw.
Knowledge of Adobe Photoshop, Illustrator, Sketch, Figma, InDesign, and other graphic design software
Compelling portfolio of work over a wide range of creative projects.
Strong Analytical Skills
You will have
Bachelor’s degree required.
Minimum Three – Nine years of experience.
Good for you to have
UI_UX Engineer (Cloud platform)
MVC Framework (Desirable): Grails, Struts or Spring MVC
Scripting (Desirable): Python
You will definitely possess these technical skills
Core skill set (must): JavaScript, AJAX, HTML, CSS, MySQL, J2EE technologies
Working Knowledge (must): Web application development.
Good knowledge of data structures and algorithms
Strong in OOPS concept
Application Server: JBoss/Wild-fly, Web logic or Web sphere
Tools (Must): JavaScript debuggers.
Job Roles
Sales :
- Plan and achieve monthly sell out targets
- Achieve Monthly, Quarterly and Yearly Revenue and PM Goals
- Create Weekly/Monthly reports and monitor performance, driven by on-site KPIs
- Conduct Monthly Business review with partners.
- Review and tracking of commercial agreements
Marketing and Onsite Experience :
- Plan Marketing/Promotional calendar with Digital Marketing Manager for Ellementry.com as per quarterly/yearly marketing budgets.
- Actively support and drive the Seasonal Go To Market execution for Ellementry.com
- Constant improvement and actualization of customers on-site experience in alignment with defined GTM strategy
- To Ensure Catalog and Listing Hygiene and achieve high content score
- Charged with and responsible for identifying new ways to improve site conversion, average order size, cart abandonment, and other key performance indicators to maximize sales growth and profitability.
- Provide oversight for managing Affiliate program
KPIs :
- Own e-Commerce projects and work with respective partners and regional/global teams to support the definition, technical implementation, testing, deployment and operations of chosen e-Commerce project.
- Perform cross-platform, cross-browser QA validations on website development releases, acting as the liaison between eCommerce, Global Team, and IT to ensure smooth project planning and delivery.
- Propose and implement websites evolutions - including new content and new features
- Coordinate deployment and UAT.
Qualifications : Diploma / Bachelors degree. Masters degree will be preferable.
Other Job Requirements :
- 3-5 years of experience with minimum 2 years of relevant experience in managing dot com and Marketplace business for a brand.
- Basic technical know how of an E-commerce site and understanding of building/improving E-com sites.
- Good understanding of online marketing opportunities (web, social, e-mail, search, mobile).
- Able to interpret business objectives and successfully incorporate those objectives into projects.
- Good understanding of online marketing opportunities (web, social, e-mail, search, mobile, chat, telephony).
- Good knowledge of web analytics tools such as Google Analytics & GTM.
- Strong verbal and written communication skills.
- Highly organized, task-oriented, business-driven.
- Project management and strong attention to detail skills
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Key Responsibilities:
- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Skills:
- 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
- Experience in risk and credit scoring domains preferred
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