Sr Program Manager

Job Summary:

We are looking for an experienced MERN Project Manager to lead and oversee the development and maintenance of our MERN (MongoDB, Express.js, React.js, Node.js) stack projects. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to manage cross-functional teams to deliver high-quality software solutions on time and within budget.

Key Responsibilities:

1. Project Planning & Execution:

• Define project scope, goals, and deliverables in collaboration with stakeholders.
• Develop detailed project plans, timelines, and milestones.
• Monitor project progress, identify risks, and implement mitigation strategies.

1. Team Management:

• Lead, mentor, and manage the development team, ensuring alignment with project goals.
• Allocate tasks and responsibilities among team members based on expertise and project needs.
• Conduct regular team meetings to track progress and address challenges.

1. Technical Oversight:

• Provide technical guidance and ensure best practices in the MERN stack development process.
• Review code and ensure adherence to coding standards, scalability, and performance optimization.
• Collaborate with DevOps for CI/CD pipeline implementation and AWS/EC2 infrastructure management.

1. Stakeholder Communication:

• Act as the primary point of contact for clients and stakeholders.
• Provide regular updates on project status, milestones, and potential roadblocks.
• Gather and translate business requirements into technical specifications.

1. Quality Assurance:

• Ensure proper testing and debugging practices are followed.
• Facilitate UAT (User Acceptance Testing) and incorporate feedback into the development cycle.
• Oversee deployment and post-deployment support.

1. Documentation & Reporting:

• Maintain comprehensive project documentation, including requirements, design, and progress reports.
• Prepare and deliver project status reports to management and stakeholders.

Required Skills & Qualifications:

 Educational Background:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

 Technical Skills:

• Strong hands-on experience with MongoDB, Express.js, React.js, and Node.js.
• Familiarity with DevOps practices, especially in AWS EC2 environments.
• Proficiency in Git and version control systems.
• Experience with Agile/Scrum methodologies.

 Soft Skills:

• Excellent problem-solving and decision-making abilities.
• Strong leadership and team management skills.
• Exceptional verbal and written communication skills.

 Preferred Qualifications:

• Certifications in project management (PMP, Agile, or Scrum Master).
• Experience with additional cloud platforms or DevOps tools.
• Prior experience managing MERN stack projects at scale.

Responsibilities

· Resolving technical support inquiries directly or indirectly through on-site and/or remote first-level support representatives.

· Performing routine assignments in the entry level to a professional job progression.

· Providing prompt recovery and problem escalation using multiple system management and problem management tools.

· Working closely with development teams, support teams and vendors to coordinate special operations, and communicate/escalate problems to meet assigned deadlines.

· Providing analytical support for the development & enhancement of system interfaces and develop/enhance those tools under technical direction from seniors.

· Assisting in daily support of the systems/products assigned, through early detection and pursuit of changes in system responses or operations.

· Working closely with support groups to refine system monitoring, reporting, and to assist them in their analysis and problem recovery.

· Providing prompt, clear, and timely communications; log, coordinate, and communicate problems using standard problem management and escalation procedures.  

E-commerce solution sales is preferred

Identify new business opportunities through research and analysis of market trends and customer 

Source new sales opportunities through outbound reach, cold emails, skype chats or phone calls or anything to reach out to prospective customers

Execute planned sales activities and develop a target list of high potential new customers

Attend industry events and conferences to network and generate new business opportunities

Achieve monthly & quarterly quotas

Perform effective online demos to prospects and Create and deliver sales presentations to prospective clients

What you need to have:

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

• A graphic design qualification or similar.
• Portfolio with design projects.
• Proven work experience as a graphic designer.
• Working experience with image design tools (e.g. Photoshop and Adobe Illustrator, corel draw).
• A keen eye for visual details.
• Aesthetic skills.
• Ability to meet deadlines and collaborate with team members.