Travel Consultant (Sales & Operation Executive)
Subodh Popalwar
Software Engineer, Memorres
About https://book-my-safari.com/
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- Strong communication abilities
- Exceptional communication and the capacity to switch up speaking approach
- The capacity to adjust to challenging circumstances
- The capacity to adjust to challenging circumstances
- Having a firm understanding of the products or services the business provides
- Ability to listen and solve problems
- Ability to cope with rejection while remaining calm
- Outstanding capacity to manage conflicts and address grievances during negotiations
Job Profile: SEO Specialist
Department: Marketing
Location: Goregaon, Mumbai
Overview:
The SEO specialist is responsible for driving organic and overall traffic and improving search engine
visibility for the brand. The role requires deep expertise in search engine optimisation, a data-driven
approach, and the ability to execute a comprehensive SEO strategy across all digital channels.
Key Responsibilities:
Develop and execute a comprehensive SEO strategy that aligns with the brand's marketing and
business objectives
Conduct keyword research and analysis to inform content creation and optimisation efforts
Optimise website structure, content, and metadata to improve search engine visibility and drive
organic traffic
Monitor and analyse search engine rankings, traffic patterns, and conversion data to inform and refine
SEO efforts
Stay up-to-date on industry trends and best practices, and incorporate them into SEO strategies
Collaborate with the Marketing Manager, content writers, and designers to ensure all digital assets
are optimised for search engines
Communicate the value of SEO to internal stakeholders and educate them on best practices
Measure and report on the success of SEO initiatives and use data to inform future optimisation
efforts
Key Performance Indicators (KPIs):
Organic and overall traffic growth
Search engine rankings for target keywords
Bounce rate and time on site metrics
Conversion rate and lead generation metrics
Return on investment (ROI) of SEO initiatives
Search engine visibility and website performance, as measured by tools such as Google Analytics and
Search Console
Qualifications:
Bachelor's or master s degree in Marketing, Communications, Computer Science, or a related field
3+ years of experience in SEO, with a proven track record of success
Deep expertise in search engine optimisation, including keyword research, on-page optimisation, link
building, and analytics
Experience with website architecture and development and the ability to collaborate with developers
and designers to implement SEO recommendations
Strong analytical skills, with the ability to use data to inform and refine SEO strategies
Excellent project management skills, with the ability to manage multiple projects and deadlines
Marketing - Hiring
Strong written and verbal communication skills, with the ability to educate and communicate the
value of SEO to internal stakeholders
Ability to work independently and as part of a team
Job description:
- Min 1 Year Experience in Google Ads & Facebook ads Manager
- Social Posting Topic & Content Creation
- Competitor Research Detailed Skill
- Latest SEO Knowledge
- Sound Knowledge of Graphic design tools
- Basic Knowledge of video editing tools
- Working with the conference production team to develop an understanding of the event programme.
- Researching attendees and generating sales leads.
- Cold calling and selling to a list of prospective event attendees.
- Engaging with clients on the phone and developing lasting relationships.
- Daily management and maintenance of sales records, ensuring they are kept up to date with attendees and details.
- Working with the team to convert inbound sales enquiries into leads.
- Achieving monthly and overall revenue targets.
- Making a high number of calls to meet daily KPIs, to be set by management.
- Supporting delegates through the registration process.
- Experience in International voice process in sales will be an added advantage.
Location:- Bangalore
JOB DESCRIPTION :
• Project Manager with over all 12 plus years of work experience and at least 7 to 9 years in
project management space.
Candidates have to be from IT background managing end to end Application
implementations (upgrades, migrations, cut-overs), migrations (on premise to Cloud, hybrid
solutions), transitions projects, etc.
• Strong understanding on Agile, Scrum framework, SDLC, Planning and hands on
experience on tools like Jira.
• Experience in Service delivery, change management, release management, stakeholder
management and people management.
• Excellent in communication and confident while articulating points to the team.
• Global experience is going to add value.
• Certified in project management and Agile - PMP, Prince 2, CSM, SaFe.
MUST HAVES :
IT Background with complete SDLC, migration, transformation.
Project management - Handled end to end 5 phases initiation, execution planning,
requirement gathering & deployment/closure. Includes Budget Forecasting, handled
vendors and stakeholder management.
Handled a team size of at least 15 -20 for a budget driven project.
Global Account/Project exposure.
Excellent Communication Skills.
Candidate should have experience in end-to-end project management at least for 7 to 9
years.
Candidate should have experience in oil and gas industries - good to have
Should have pedigree of working in Good MNC's
DONTS :
Operations Management
Technical Project Management
Infrastructure, Data Centre Migration
Banking, BFSI, Telecom Sector
- Setting KPIs, monitoring key trends, and helping stakeholders by generating insights from the data delivered.
- Understanding user behaviour and performing root-cause analysis of changes in data trends across different verticals.
- Get answers to business questions, identify areas of improvement, and identify opportunities for growth.
- Work on ad-hoc requests for data and analysis.
- Work with Cross functional Teams as when required to automate reports and create informative dashboards based on problem statements.
WHO COULD BE A GREAT FIT:
Functional Experience
- 1-2 years of experience working in Analytics as a Business or Data Analyst.
- Analytical mind with a problem-solving aptitude.
- Familiarity with Microsoft Azure & AWS PySpark, Python, Data Bricks, Metabase, Understanding of APIs, data warehouse and ETL etc.
- Proficient in writing Complex Queries in SQL.
- Experience in Performing hands-on analysis on data and across multiple datasets and databases primarily using Excel, Google Sheets and R.
- Ability to work across cross-functional teams proactively.
Job Description:
Location: Bangalore
Senior QA Engineer Responsibilities: • Design, maintain and execute manual and automated test cases for API, performance and end-to-end functional tests. • Develop automated tests with industry-standard testing tools and frameworks (e.g. JMeter, Junit, RestAssured) • Ensure comprehensive end-to-end coverage of test suites. Knowledge and Skills: • 4+ years of industry experience doing manual testing for web applications • 2+ years of industry experience in Performance testing tools such as JMeter • Experience with testing Web Services or REST APIs either from code or with tools like SoapUI/Postman • Experience of creating test cases based on requirements given in BRD • Bachelor's degree in Computer Engineering, Computer Science, Information Systems or Equivalent • Experience with code management and version control software (e.g. Git, GitLab, Bitbucket) • Knowledge of continuous integration tools (e.g. Jenkins, ANT, Maven, Gradle) • Knowledge of databases (MySql, MS-SQL, MongoDB
Machine Learning (ML)
Deep LearningJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
Java
Python
C#
Javascript
Angular (2+)
Follow CutshortSubodh Popalwar
Software Engineer, Memorres