Social Media Analyst / Social Media Listening Analyst

About the Role

We are looking for an experienced Technical Recruiter to join client's Talent Acquisition team. This is an Individual Contributor role where you will partner closely with hiring managers to hire top engineering talent across multiple product teams.

You should have experience hiring for software engineering positions in a fast-paced product organization and be comfortable working with global stakeholders.

Responsibilities

• Own end-to-end technical hiring.
• Partner with Engineering Managers and Business Leaders.
• Build sourcing strategies for niche engineering talent.
• Manage candidate pipelines and interview processes.
• Deliver an exceptional candidate experience.
• Meet monthly hiring goals while maintaining quality.
• Drive recruitment metrics and hiring efficiency.
• Work closely with US-based stakeholders.

Required Skills

• 5-8 years of Technical Recruitment experience.
• Experience hiring Software Engineers, Backend, Frontend, Full Stack, DevOps, Data, QA, SRE and Product roles.
• Currently working with a US-based Product Technology company.
• Strong sourcing capability using LinkedIn Recruiter, job portals and networking.
• Experience partnering with global hiring managers.
• Excellent stakeholder management skills.
• Strong understanding of recruitment metrics.
• Proven ability to consistently deliver 5+ hires per month.

Job Summary:

We are seeking a skilled and organized HR cum Admin Executive to manage both human resources and administrative operations. The ideal candidate will be responsible for ensuring smooth day-to-day office functioning, maintaining facilities, and supporting HR processes efficiently.

Key Responsibilities:

• Oversee building and facility maintenance – ensure all infrastructure, utilities, and services are running smoothly
• Handle vendor management, AMC coordination, housekeeping, and security supervision
• Manage HR activities, including recruitment, attendance, payroll coordination, and employee engagement
• Maintain administrative records, handle procurement, and support day-to-day office operations
• Liaise with management for operational and manpower planning

Requirements / Ideal Candidate:

• Has strong experience in facility/building management and administration
• Good understanding of HR processes and documentation
• Excellent communication, negotiation, and problem-solving skills
• Proactive, reliable, and able to handle responsibilities independently

About the Role:

This role is ideal for someone who enjoys managing both people and operations and can ensure that the workplace remains productive, organized, and well-maintained.

• Proficient knowledge of Django and Django REST framework 
• Experience and good understanding of Redis
• Good knowledge and understanding of PostgreSQL or other relational databases 
• Proficient in NoSQL document databases especially MongoDB. 
• Understanding of threading and multiprocessing in Python, and multi-process architecture 
• Good-enough understanding of version control systems like Git or Mercurial 
• Strong unit-test and debugging skills 
• Knowledge of container technologies (specially Docker) and orchestration systems is a plus 
• Strong understanding of various Python Libraries, APIs, and toolkits
• Excellent understanding of MVC and OOP
• Rapid prototyping skills for getting product feedback 
• Experience with Agile and SCRUM methodology

Must Have skills :

Experience in Linux Administration

Experience in building, deploying, and monitoring distributed apps using container systems (Docker) and container orchestration (Kubernetes, EKS)

Ability to read and understand code (Java / Python / R / Scala)

Experience AWS and tools

Nice to have skills:

Experience in SAS Viya administration

Experience managing large Big Data clusters

Experience in Big Data tools like Hue, Hive, Spark, Jupyter, SAS and R-Studio

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

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.