Senior Executive - Analytics (Marketing Mix Model)
at World's largest Media Investment Company
Senior Executive - Analytics
Overview of job :-
Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.
We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.
Reporting of the role - This role reports to the Director - Analytics,
3 best things about the job:
1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients
2. Build and be a part of a dynamic team
3. Being part of a global organisations with rapid growth opportunities
Responsibilities of the role:
Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.
Work with large data sets via hands-on data processing to produce structured data sets for analysis.
Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.
What you will need:
Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field.
2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models. Proficiency in one or more coding languages – preferred languages: Python, R
Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI
Proficiency in using SQL.
Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad.
Working experience using big data technologies (Hive/Hadoop) is a plus
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You will be best qualified if you have experience with several (not all) of the following:
● Spring/Spring Boot
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● Python (flask and Django)
● Hibernate
● Linux
● REST
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● Mysql
● AWS
● ELK Stack (Elasticsearch)
● CI/CD Pipelines
Qualifications:
● 2+ years of experience in Java based technologies
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ReactJs
Location : Banglore
About StepSecurity
StepSecurity is a US-based cybersecurity startup focused on building the best Continuous Integration (CI) / Continuous Deployment (CD) security platform. With 30+ years of combined industry experience, our founders have built cybersecurity functions at companies like Microsoft, Uber, and Plaid. We are well-funded by Tier 1 VCs with deep expertise in cybersecurity and SaaS. Our platform is trusted by leaders like Google, Microsoft, AWS, and DataDog. Based in Seattle, Washington, we embrace a remote-first culture with flexible remote working opportunities. Follow us on LinkedIn for updates and job opportunities.
Role Description
Position: Founding Backend Engineer
Location: Full-time remote position based in India
We are seeking founding backend engineers to build and maintain our CI/CD security platform's backend systems and components (GitHub Actions). This high-impact role involves setting best practices and owning engineering processes, with contributions used by thousands of developers globally. Our primary languages are Golang and Node.js.
Responsibilities
- Design, develop, and maintain robust, scalable software solutions.
- Architect and implement CI/CD components (GitHub Actions).
- Deliver features incrementally in quick iterations.
- Write clean, efficient, and maintainable code following industry best practices.
- Conduct code reviews and provide constructive feedback.
- Troubleshoot and debug complex software issues promptly.
Qualifications
- 2 to 5 years of enterprise hands-on backend experience.
- Proficiency in Golang & AWS (Node.js experience is good to have).
- Experience in developing Endpoint agents using Golang.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Solid understanding of software development principles, design patterns, and best practices.
- Expertise in building scalable and fault-tolerant systems.
- Strong collaborative and problem-solving skills.
- Self-motivated, creative thinker with a drive for continuous improvement.
- Experience in a startup or high-impact, outcome-driven environment.
Hi,
Intuitive (http://www.intuitive.cloud/">www.intuitive.cloud) is one of the fastest-growing Cloud & SDx Engineering solution and services companies supporting 80+ Fortune 1000 Global Enterprise customers in the Americas and Europe. Intuitive is a recognized professional & managed services partner for core superpowers in Cloud (Public/Hybrid) Adoption/Migration & Transformation, Cloud Security, GRC, DevSecOps, SRE, Data, Application Modernization / Containers/K8s-as-a-Service and Cloud Application Delivery
FTE (permanent)
100% Remote opportunity
Time-6 pm to 3.00 am(IST)
Role: Azure Network & Security Architect JD:
Must have:
Strong understanding of data center network and security architecture with products like Cisco switches/routers, Arista/juniper switches/routers, Palo Alto/Cisco/Fortinet firewalls, proxy, DNS etc Strong understanding of overall Azure cloud infrastructure, network and security architecture. In-depth understanding of Azure Networking components/services like vnet, vnet peering, udr, SDR, express route, NVA, load balancers, endpoints,vWAN, virtual Network gateways, Network watcher, Azure network function manager, CDN, Private link, traffic manager etc In-depth understanding of Azure Security components/services like Azure firewall, Azure firewall manager, Azure front door, WAF, NSG, Internet analyzer, Bastion, Defender, Key Vault, Sentinel etc Strong understanding of how to securely interconnect multiple cloud accounts, on-prem servers, etc. Expertise in automation tools such as Terraform/Jenkins/Powershell/Ansible/Azure CLI etc. Strong understanding of How to protect Azure Cloud-based infrastructure, including distributed denial-of-service (DDoS) attacks, phishing attacks, and threats involved. content classification etc
Good to have: Sound understanding of GCP and AWS cloud network and security architecture Sound understanding of F5 load balancers/LTM/GTM, AFM, ASM, APM etc
If Your profile matches to the requirements share your anithadotkatintuitivedotcloud
Regards,
Anitha. K
TAG Specialist
Job Summary:
As a Talent Acquisition Associate, you will play a crucial role in attracting, sourcing, and hiring talented individuals to meet the organization's workforce needs. You will collaborate with hiring managers and stakeholders to understand their requirements, devise effective recruitment strategies, and execute end-to-end recruitment processes.
Responsibilities:
- Collaborate with hiring managers to understand their talent requirements, including job descriptions, qualifications, and other relevant details.
- Source, screen, and assess candidates using various channels such as job boards, social media platforms, professional networks, and internal databases.
- Conduct phone screens and initial interviews to evaluate candidate qualifications, skills, and cultural fit.
- Coordinate and schedule interviews with hiring managers and other stakeholders, ensuring a smooth and efficient recruitment process.
- Build and maintain a strong candidate pipeline for current and future hiring needs.
- Assist in the development and implementation of recruitment strategies to attract top talent.
- Maintain accurate and up-to-date candidate records in the applicant tracking system (ATS).
- Provide timely updates and feedback to candidates throughout the recruitment process.
- Assist in negotiating and extending job offers to selected candidates.
- Support onboarding activities for new hires, including completing pre-employment checks and paperwork.
Requirements:
- Bachelor's degree in Human Resources, Business Administration, or a related field.
- Proven experience as a Talent Acquisition Associate or in a similar recruitment role, preferably within the IT or technology industry.
- 1-3 years of relevant experience in end-to-end recruitment processes.
- Familiarity with applicant tracking systems and other recruitment tools.
- Strong sourcing and networking skills to identify and engage with potential candidates.
- Excellent communication and interpersonal skills.
- Ability to effectively prioritize and manage multiple recruitment assignments.
- Understanding of employment laws and regulations.
- Results-oriented mindset with a focus on meeting recruitment targets and deadlines.
- Highly organized with attention to detail.
- Handling doubt session or query session of the students related to digital marketing at the time of training;
- Well versed with the latest tool and industry updates related to each and every aspect of the digital marketing or as per your expertise area;
- Digital Marketing Certified Associate (Google certification, search and display advertising);
- To Update and ensure all latest trends and best practices are covered in Qualifications and Skills Web;
- Able to give appropriate assignments and projects for the students to make them grow with hands-on experience in digital marketing;
- To deliver course material as per the PreDecided curriculum;
- Should be well versed with all digital marketing concepts and strategies;
- Should have the capability to resolve all the doubts and Handling query sessions for the students;
- Helping students in the practical execution of digital marketing concepts;
- Designing, SEO, SEM Pay per click, Google ads, mobile marketing, SMM, SMO Desired Candidate Profile;
- A personal blog related to digital marketing is a huge plus;
- Provide classroom training to students;
- Help students in learning problem;
- Providing in-class training on digital marketing concepts;
- The experience of the execution of marketing campaigns will be an added advantage.
Requirements:
- Handling doubt sessions of students;
- Well versed in Delivering trial sessions to students;
- Helping learners in the practical execution of the digital concept;
- Should have strong convincing skills;
- Should have clear cut knowledge in all digital marketing strategies;
- Should have strong convincing skills and willing to work on multiple assignments;
- He will provide in-class training on Digital Marketing;
- Notice Period – Immediate Join or Maximum 15 Days;
- Looking for Full Time Employment Candidate;
- Planning and preparing courses and lessons for digital marketing;
- Handling doubt session or query session of the students;
- Continuously improve on teaching methodology to suit model for better student satisfaction;
- Minimum 3 yrs Experience in Digital marketing Industry and 6 months of experience As a Trainer;
- Work Timings- Monday to Friday 8.00am to 6.00pm and Saturday 10.00am to 4.00pm;
- Delivering a demo session to the students.
Shift:- Night
Responsibilities
- Design conversational chatbots using state of the art technology
- Collaborate with the senior team (System Architect and Senior Programmer) on application architecture design and decision-making
- Clean / analyze data coming from bot conversation
- Define recurring questions that can be handled automatically / defined by the client
- Improve dialog flow to handle those recurring questions / develop new actions
- Help with the handling of multilingual support
- Develop internal testing tools
● Good understanding of areas such as Algorithms, Data Structures, ObjectOriented Design, Databases.
● Solid understanding of Android Architecture Components
● Understanding of large and complex code bases, including API designtechniques to help keep them clean and maintainable.
● Programming experience in Java, kotlin and related frameworks.
Octro Inc. is looking for a Data Scientist who will support the product, leadership and marketing teams with insights gained from analyzing multiple sources of 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.
Responsibilities :
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from multiple databases 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.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modelling to increase and optimize user experiences, revenue generation, ad targeting and other business outcomes.
- Develop various A/B testing frameworks and test model qualities.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications :
- Strong problem solving skills with an emphasis on product development and improvement.
- Advanced knowledge of SQL and its use in data gathering/cleaning.
- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- 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.
- Excellent written and verbal communication skills for coordinating across teams.