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Head of Demand Generation - Remote

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About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 260 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Build pipeline. Prove impact. Fuel growth.

At Zyte, the Head of Demand Generation owns the engine that turns marketing investment into qualified pipeline across three product motions: Zyte API (self-serve, PLG), Zyte API Enterprise (sales-led), and Zyte Data (sales-led). You'll lead demand generation programs end-to-end, working hand-in-hand with Sales, Developer Relations, and Content to make sure every campaign and channel is measured against one outcome: pipeline and revenue impact.

Job Skills

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Microsoft DevOps Engineer

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The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.

Job Skills

data models modern microsoft automate infrastructure cloud engineering VPN microsoft certified endpoint management architecture diagrams dashboards governance experience design azure data controls secure python reliable docker operations rest apis microsoft intune business system cloud platform problem solving networking storage data governance resilient ERP root cause analysis microsoft sql server enterprise environments manage diagrams auditing networking compute disaster recovery microsoft designs delivery pipeline operational datum dictionary microservices RBAC storage arm arm vulnerability management stakeholder management kubernetes database design automated azure kubernete service virtual machine scripting azure devops devops incident management yaml power bi indexing database administration engineer designs terraform configuration management reliability automation models entity relationship cloud operation data integration management control agile integration azure azure cloud native data integrity landing zones corrective actions technical solutions collaboration investigate technical documentation change control application deployment git scrum accountable itil foundation certification powershell azure sql database structures planning cloud infrastructure resilience infrastructure security compliance requirement operate microsoft platforms design review azure policy vulnerability management devsecops troubleshooting continuous improvement translate tooling analytical positive templates data lake analytics personal attributes coding application insights infrastructure as code azure monitor agile change operational efficiency infrastructure microsoft azure continuous integration bash workflow factory azure azure services engineer relational database workflow automation audits
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Sr. Manager/ Associate Director - Engagement Lead (Pharma/Lifesciences)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a strategic and driven Engagement Manager to lead high-impact analytics consulting engagements for top-tier clients across the Pharma /Lifesciences.

RESPONSIBILITIES:

Job Skills

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Senior Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities:

Job Skills

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Senior Manager / Associate Director - Data Governance

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Manager / Associate Director to lead delivery workstreams within a large-scale enterprise Data Governance, Architecture & Controls Program.

Responsibilities:

Job Skills

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Client Partner - Retail/ CPG

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities

Job Skills

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Senior Manager / Associate Director - Market Access (Pharma & Life science)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of Market Access skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Job Skills

color datasets HDFS leadership FTP evidence based brand decision make market access business process cloud platforms manage manage market big datum r health economic management communicate landscape sql market trend dashboards execution plans ideation consultants translate pharmaceutical analytical tableau problem solve visualization public health career development market area python long term analytic predictive analytic economics business collaborate pricing price communicate best practices solution framework analytics operationalize data domain claims cross functional teams datum hub chargebacks business intelligence translating data science market research develop execution hive consulting data sources disability machine learning tracking write communication management levels scale access strategies e process flow sciences health power bi CRM databricks
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Senior Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.

Key Responsibilities:

Job Skills

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Senior Data Engineer

posted by: spj_bot

We are looking for a Senior Data Engineer with a strong software engineering background and deep expertise in building modern cloud-based data platforms.

You will be responsible for designing and developing scalable data infrastructure, building reliable data pipelines, and establishing engineering best practices across our data ecosystem. This role is ideal for someone who enjoys solving complex engineering challenges while enabling analytics, machine learning, and product teams with high-quality data.

Job Skills

datum mart professional dataflow terraform apache airflow reliability automation integrate data data data streaming data ul data integration data engineer quality data scalable cloud platforms data platforms design build data modeling solving complex distributed systems management data product sql data pipeline data architectures data quality data infrastructure analytical airflow nice bigquery senior engineer data engineering python experience designing google cloud platform data processing collaborate software engineering programs structured reliable best practices analytics workflows docker kubernetes data warehouses rest apis technical documentation data science google cloud infrastructure as code git scalability API product teams machine learning ETL operational efficiency data systems infrastructure performance review engineering productivity english scale data architecture quality monitoring data pipelines integrations
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Head of Revenue Operations

posted by: spj_bot

As Head of Revenue Operations, you will own the commercial performance of GoMining's direct revenue channels.

You will be responsible for optimizing sales operations, VIP management, retention, cross-sell initiatives, and commercial efficiency. Working closely with business owners and leadership, you will define priorities, improve unit economics, and ensure every commercial initiative delivers measurable business impact.

This is a strategic role that combines commercial operations, analytics, pricing, and revenue optimization.


Responsibilities

Revenue Operations

    • Own the operational performance of all direct revenue channels, including Sales, VIP, and Retention.
    • Align priorities, customer segmentation, and execution plans with business owners.
    • Build scalable commercial processes and operating standards across teams.
    • Monitor channel performance and identify opportunities to increase revenue and operational efficiency.

Commercial Performance

Job Skills

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