Position: Public Relation Intern
We are seeking a Public Relations Intern, who is full of creative ideas and eager to contribute on a large scale. The intern will gain visibility into the inner workings and aspects of the public relations field, provide concrete deliverables and learn from top to bottom. When the internship is completed you will be ready to enter any fast paced PR firm and/or PR role in any corporate firm.
Responsibilities
Create company’s PR strategy and execute it in different phases
Create and curate engaging content
Communicate and build relationships with current or prospect clients
Create and distribute press releases
Build and update media lists and databases
Schedule, coordinate and attend various events
Perform research and market analysis activities
Requirements
Strong desire to learn along with professional drive
Excellent verbal and written communication skills
Efficiency at MS Office
Passion for the PR industry and its best practices
Current enrolled/graduated in a related BS or Masters university/college
Perks
Competitive Stipend
Start-up working culture experience
5 Days a week working schedule
Working with a high energetic & diverse team having great ideas and experience
Platform to implement theoretical studies ideas and co-ordinate with core founding team
Opportunity to keep abreast with the latest trends in technologies
The person will be required to:
Required Skills and Experience
Experience Required – 2-5 years
Skillset –
Responsibilities –
Required Experience, Skills and Qualifications:
• Proven Service Selling in B2B IT domain.
• Past experience of International Sales, majorly including selling custom services solutions.
• Ability to develop good relationships with current and potential clients.
• Strong research skillsets required before client interaction.
• Strong Persuasion and Influencing Skills
• Excellent Negotiation Skills.
• Excellent leadership and communication skills.
• Knowledge of productivity tools and software.
• High attention to detail and a focus on fact-based decision making.
• IT Solution/ Solution Selling /Mobility/Pre-Sales/Outbound(Software sales)/ Business Development/Key Account Management exposure/experience.
• Analytics sales experience would be an add-on advantage.
Responsibilities and Duties:
• Oversee the complete sales process from Inbound, Outbound to Inside sales to attract new clients (both Indian and International) and drive the revenues of the organisations.
• Qualifying new inbound leads and moving them through the sales pipeline.
• Generate new outbound leads from LinkedIn and similar platforms and move them through sales pipelines.
• Research, identity, and prospect for new target companies within multiple niche industries.
• Develop and execute a strong prospecting plan of action, including lead management strategies and communication strategies for better conversions. It includes understanding the client requirements, creating BRDs, coming up with the solution in association with the tech team and the submit the required proposals.
• Talk to influencers and decision-makers involved in procuring IT/ software development services
• Coordinate with Technical team to schedule pre-sales discussion, ensure smooth communication between prospect, sales team
• Full sales life-cycle expertise, Handling the Up-level lead generation
• Setting up online demo meeting and face to face meetings
• Regular follow-ups with the prospects that have been identified as potential clients and who have shown interest to use our services
• Serve as the first in-depth point of contact to customers
• Provide product/service information to prospective customers
• Upselling the services to existing clients with prospect nurturing.
• Maintain fruitful relationships with clients and address their needs effectively.
Responsibilities and Duties:
● Regression testing of most recent builds
● Thorough understanding of Software Development Life Cycle and Quality methodologies
● Strong in Web Services Automation
● Proficient in front-end, backend, system testing.
● Experience testing large scale complex products with software and infrastructure
components.
● Develop and update/extend backend integration / system / performance / etc. automated
test frameworks
● Building highly scalable automation frameworks for web, mobile, system wide tests.
● Reviewing pull requests (by Dev’s and SDET’s), reviewing for testability and providing
feedback on Engineering Design Docs and writing Test-specific documentation
● Authoring comprehensive test plans and test strategies that span across software, and
infrastructure components and ensure high quality deliverables.
● Write test plans, test strategy and test cases (automated)
● Troubleshoot critical defects in software coding
● Review and analyse system specifications
● Execute test cases and analyse results
● Evaluate product code according to specifications
● Create logs to document testing phases and defects
● Help troubleshoot issues
● Conduct post-release/ post-implementation testing
● Work with cross-functional teams to ensure quality throughout the software development lifecycle.
Required Experience, Skills and Qualifications:
● 2-5 years of proven experience in owning QA – Manual and Automation streams
● 5 years of Unix/Linux experience (shell/tools/kernel/networking)
● Proven experience with automation tools and frameworks such as Cucumber, Selenium,
● TestNG, Postman, Selenium and meter
● Experience integrating the automation suite with CI/CD pipelines such as Jenkins.
● Demonstrated ability in creating automation frameworks at scale
● Lead QA efforts in individual capacity along manual and automation streams
● Expert at Statistical analysis and failure pattern identification
● Grey and black box testing methodologies.
This is a unique opportunity to be involved in delivering leading-edge business analytics using the latest and greatest cutting-edge BI tools, such as cloud-based databases, self-service analytics and leading visualisation tools enabling the company’s aim to become a fully digital organisation
Key Accountabilities
• Development and creation of high-quality analysis and reporting solutions
• Development of ETL routines using SSIS and ADF into Azure SQL Datawarehouse
• Integration of global applications such as D365,Salesforce and Workday into cloud data warehouse.
• Experience using D365 ERP systems and creating BI reports.
• Development of SQL procedures and SQL views to support data load as well as data visualisation
• Development of data mapping tables and routines to join data from multiple different data sources
• Performance tuning SQL queries to speed up data loading time and query execution.
• Liaising with business stakeholders, gathering requirements and delivering appropriate technical solutions to meet the business needs.
Professional Skills
• Strong communications skills and ability to turn business requirements into technical solutions
• Experience in developing data lakes and data warehouses using Microsoft Azure
• Demonstrable experience designing high-quality dashboards using Tableau and Power BI
• Strong database design skills, including an understanding of both normalised form and dimensional form databases.
• In-depth knowledge and experience of data-warehousing strategies and techniques e.g. Kimble Data warehousing
• Experience in Azure Analysis Services and DAX (Data Analysis Expressions)
• Experience in Cloud based data integration tools like Azure Data Factory or Snaplogic
• Experience in Azure Dev Ops is a plus
• Familiarity with agile development techniques and objectives
Key Experiences
• Excellent communication skills
• Over 5 years’ experience in a Business Intelligence Analyst or Developer roles
• Over 4 years’ experience using Microsoft Azure for data warehousing
• Experience in designing and performance tuning data warehouses and data lakes.
• 4+ years extensive experience in developing data models and dashboards using Tableau/Power BI within an IT department
• Self-starter who can manage own direction and projects
• Being delivery-focused with a can-do attitude in a sometimes-challenging environment is essential.
• Experience using Tableau to visualise data held in SQL Server
• Experience working with finance data highly desirable
This is a hands-on, entrepreneurial-focused position. This key engineering role is expected to design, develop, deliver, and support data solutions and collaborate with other key team members in Design, Engineering, Product Management, and various Customer and Stakeholder roles.
You must be comfortable and effective as an engineering team player in our dynamic and fastpaced environment. Our culture encourages experimentation and favours agile and rapid iteration over the pursuit of immediate perfection. We are flexible and supportive of remote work arrangements.
Specific responsibilities:
● Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
● Ingest and integrate massive datasets from multiple data sources, while designing and developing solutions for data integration, data modeling, and data inference and insights.
● Design, monitor, and improve development, test, and production infrastructure and automation for data pipelines and data stores.
● Troubleshoot and performance tune data pipelines and processes for data ingestion, merging, and integration across multiple technologies and architectures including ETL, ELT, API, and SQL.
● Test and compare competing solutions and provide informed POV on the best solutions for data ingestion, transformation, storage, retrieval, and insights.
● Work well within the quality and code standards, and engineering practices, in place, and maintained by the team.
Experience and Skills:
● 3-5 years of data engineering experience required, 3+ years of Google Cloud Platform (GCP) experience desired. Equivalent cloud platform experience considered.
● 2 + years of coding in Python.
● 2+ years of experience working with JSON, SQL, document data stores, and relational databases.
● Solid understanding of ETL/ELT concepts, data architectures, data modelling, data manipulation languages and techniques, and data query languages and
techniques.
● Experience working in GCP-based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow, etc.
● In-depth understanding of Google’s data product technology and underlying data architectures. Equivalent cloud platform experience considered.
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