Business Development Executive (Saket)

Good experience as team lead.

Great english communication and fluent communication experience

Technically strong, strong in Analytical Skills, Strong problem-solving capabilities

Server Knowledge and strong in GIT, GITLAB, SVN Knowledge

Sprint planning and scrum management

Experience making documentation like technical documents of project

Helping developers came out of terms

Strong R & D Skills, scrum

Strong database knowledge of MYSQL, PostgreSql, MongoDB

Strong Expertise making scalable applications

Knowledge of different software architecture and where to use which architecture etc. also design patterns.

A Social Media Marketing job description outlines the responsibilities and qualifications for professionals who manage and enhance a company's online presence through various social media platforms. Here's a breakdown of the key aspects:

Core Responsibilities:

• Strategy Development:
• Creating and implementing social media strategies that align with business goals.
• Identifying target audiences and tailoring content accordingly.
• Staying up-to-date with the latest social media trends and best practices.
• Content Creation and Curation:
• Developing engaging content, including text, images, and videos, for various platforms.
• Managing content calendars and ensuring consistent posting schedules.
• Curating relevant content from external sources to share with the audience.
• Community Management:
• Monitoring social media channels and responding to comments, messages, and inquiries.
• Building and nurturing relationships with followers and influencers.
• Managing online reputation and addressing any negative feedback.
• Analytics and Reporting:
• Tracking and analyzing social media metrics to measure campaign effectiveness.
• Generating reports and providing insights to optimize strategies.
• Using social listening tools to monitor brand mentions and industry trends.
• Advertising and Paid Campaigns:
• Planning and executing paid social media campaigns.
• Managing budgets and optimizing ad performance.
• Analyzing ad metrics and providing recommendations for improvement.

Sr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.

The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.

Should be well versed with

1. Designing and Deploying Large enterprise software in Cloud
2. Understands Cloud fundamentals
3. DevOps & Kubernetes
4. Experience deploying cloud applications and monitoring operations
5. Preferably Google Cloud
6. Associate or Professional Certification.

• Web application development experience in HTML5, CSS3, Javascript (including new ES features), Python
• Hands-on experience in any one of the python-based backend frameworks like Django or Flask or Pyramid along with end to end testing
• Hands-on experience in building high performant React applications
• Hands-on experience working with Object Oriented JavaScript (OOJS), JavaScript libraries and their practical uses in building complex interactive experiences
• Hands-on experience working with TDD in JS with the help of frameworks like Mocha, Chai, Jest, Enzyme, React Testing Library etc.
• In depth knowledge of SQL is a must. SQL Technologies that are desired are MySQL, PostGres, Oracle
• Experience in state management libraries like Redux and MobX
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Familiarity with various component libraries and design systems
• Proficient in using media queries and CSS frameworks like bootstrap or foundation for implementing responsive web design patterns in the applications
• Knowledge of common JavaScript design patterns
• Experience in owning Code Quality and Code Review processes
• Experience on Node.js is an advantage
• Work "in the trenches" with junior developers to implement large features that wow our clients
• Partner with Managers, Business Analysts, and test analysts to develop realistic implementation plans with a focus on quality, sustainability, and delivering value to our clients
• Stand up for coding best practices that ensure quality products: automated testing, unit testing, agile development, continuous integration, code reviews, and technical design
• Improve technical skills of self and the team
• Research industry trends and web technologies, and promote adoption of best-in-class web tools and technologies
• Understand client business issues and actively participate in designing solutions and features that meet client needs
• Take initiative to advance the quality, responsiveness, architecture, or design of our solution, if you want to make it happen you can.
• Excellent organizational and task management skills
• Strong oral and written communication skills
• Ability to work in global cross-office teams
• Fluency in English is required

• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns.

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

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.