Sales Lead - India

• Strong Database Management Systems (DBMS) & Software Development Profile
• Mandatory (Experience): Must have 4+ years of industry experience in DBMS & Software Development with expertise in Data Engineering.
• Mandatory (Skills 1): Must have strong experience relational databases like MySQL, PostgreSQL, Oracle and NoSQL systems like MongoDB, Cassandra
• Mandatory (Skills 2): Must have Hands-on experience with query optimization, database design, data warehousing, database security, normalization, indexing, and performance tuning
• Mandatory (Skills 3): Must have Hands-on experience with managed cloud database services such as AWS RDS, Azure SQL, or Google Cloud Spanner

Preferred

• Preferred (Skills 1): Prior experience as a DBMS instructor, trainer, or tutor with excellent communication and presentation skills
• Preferred (Skills 2): Certifications in database technologies like Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist are a plus

• 2+ years experience working with Oracle Commerce Cloud application
• 4-6 years of overall experience in web application.

• Extensive knowledge of Oracle Commerce Cloud
• Excellent knowledge of server-side JAVA for enterprise level applications (J2EE)
• Experience in Javascript (Knockout preferred), Bootstrap, JQUERY, node.js, HTML 5, CSS
• Proficiency in SQL Server, MySQL, and relational data models in context of web integration
• Proficiency with web services (WCF, Web API, SOAP, REST, SOA)
• Excellent Communication Skills

•  Understanding of Oracle cloud technologies including technical
• Experience in working in an Agile environment

Responsibilities

• Develop a growth strategy focused both on financial gain and customer satisfaction.
• Conduct research to identify new markets and customer needs.
• Arrange business meetings with prospective clients.
• Promote the company’s products/services addressing or predicting clients’ objectives.
• Prepare sales contracts ensuring adherence to law-established rules and guidelines.
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support.
• Build long-term relationships with new and existing customers.
• Develop entry level staff into valuable salespeople.

Behavioural strengths :

• Strong communication skills and confidence
• Strong presentation skills
• Problem solving skills

Experience : * 5-8 Year experience in solar industry (Preferably solar modules, Inverter, Robot Sales)

• B.tech/Mtech/MBA

Job Types: Full-time, Permanent

• The technologies you will be working with are C#, .NET Core 3.1, Entity Framework, Kubernetes, Angular 2+, Typescript/Javascript, SQL Server, XUnit Testing Framework, Azure DevOps (Git).
• Collaborate with the team to design, build, test, and ship high-quality API and solutions.
• Help evolve the technical roadmap as well as our core software development principles.
• Identify multiple innovative solutions to solve day-to-day development problems.
• Assist in mentoring and supporting the next-level team.
• Work in an Agile development environment to implement user stories as well as assist teammates with their tasks.

What You'll Need

• A degree in Computer Science or Engineering, experience in designing, developing, and maintaining software or an equivalent level of work experience, and a track record of substantial contributions to software projects with high business impact.
• Must have an understanding of SaaS software development practices.
• Must have experience working in a microservices environment utilizing Kubernetes and Docker.
• Must have experience working with GIT source control management.
• Cope with change and evolve with technology platforms as needed.
• You are a wizard with HTML/CSS.
• Experienced in developing C# applications utilizing .NET Core (or Framework 5)
• Experienced with creating Angular 2+ applications and/or React SPA applications.
• Experienced in working with SQL Server and writing complex T-SQL

Summary of Skills

• 5+ years development with C# .NET Framework + .NET Core
• 5+ years working with microservices architecture
• 5+ years developing Web UI with HTML / CSS
• 5+ experience working with SQL Server
• 3+ years of experience working with Angular 2+ or React
• 3+ years of experience working with Typescript and Javascript
• 1+ years of experience working with Docker
• 1+ years of experience working with Kubernetes
• 1+ years of experience working with GIT source control management
• Experience with Azure DevOps and deploying pipelines is a strong plus.
• Experience with versioning control and working with GitHub
• Experience with Agile Development Methodologies
• Can demonstrate working with Azure (you can provision resources and can demonstrate utilizing them. Experience with Cloud terminal is a plus) (Optional)

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis