146 Job openings found

We are looking to hire a consultant to lead the delivery of analytics implementation and optimisation solutions. The analytics consultant will work primarily with Google Analytics (360) but will also have opportunities within Adobe Analytics. Depending on their skillset and interests, they may also work with Conversion Rate Optimisation tools ...

  Role Overview: As a Social Media Marketing Executive , you will play a pivotal role in shaping our online presence and executing social media strategies for both XGC and our agency clients. You will be responsible for the end-to-end management of social media activities, from content creation and community engagement ...

We are looking for an experienced and result-driven Digital Marketing Executive to join our marketing team! As a Digital Marketing Executive at our company, you will be responsible for setting up, implementing and managing the overall company's digital marketing strategy. Digital marketing strategies are extremely important for our company's success, so ...

  We are seeking an accomplished Senior Content Strategist & Solutions Content Lead to join our leadership team. This role requires a strategic thinker and a high-caliber content professional capable of delivering impactful, research-driven content that aligns with our consulting and automation-driven marketing philosophy. The ideal candidate will have a proven track ...

The incumbent will design and execute various HR initiatives in alignment with organizational objectives. He/she will be responsible for driving the performance management, rewards & recognition, talent management & succession planning framework, interventions towards leadership development, employee engagement, and any other new initiatives and projects. Understanding the organization's culture and ...

Business Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data ...

Job Description   Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field. Proven experience as a Data Engineer, Software Developer, ETL Developer or similar. Proficient in Python, R, and SQL Experience in Enterprise Data Warehousing, Data Store on Azure, Data Architecture for Enterprise cloud Experience with SAP HANA Data Warehouse and SAP Analytics Cloud advantageous Experience in Azure Data Factory (ADF), Data bricks and Spark creating multiple pipelines and activities Using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW Should have experience working with Azure Data Factory V2. Experience managing Azure Data Lakes and Data Lake Analytics and an understanding of how to integrate with other Azure Services Experience with Azure SQL DW and other Azure Services pricing models.Understanding of when to use Azure SQL DW vs Azure SQL Server/DB and loading patterns to move data from blob or Azure Data Lake into Azure SQL DW Understanding of the Overall solution design of how Power BI and Azure Analysis Services fits into Azure Architecture Experience in Design EDW Data Models and make optimization/improvement recommendations Experience in Power BI, Tableau, SAP Analytics Cloud Excellent analytical and problem-solving skills. Capacity to manage a pipeline of duties with minimal supervision. (Multi-tasker) Complex problem-solving abilities and advanced leadership/communication skills. Experience developing and maintaining standards, guidance and technical documentation Excellent written and verbal communication abilities. Excellent Strategic thinking capability. Problem-solving skills — Identifying data problems and create programs/code to solve these problems. Research skills — This job often includes combing through data and finding information, that means research mindset (Essential) Takes full ownership and accountability on work tasks. 

Role Overview:We are looking for a detail-oriented Data Analyst who can convert complex data into meaningful insights that help drive business decisions. The ideal candidate should have strong expertise in SQL, Python, and data visualisation tools and experience working with large datasets. Key Responsibilities:Collect, clean, and analyse large datasets to identify ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

Description: The Head of HR ( VP – HR India) will sit at the intersection of execution, strategy, and people analytics, responsible for running today’s HR engine while designing and embedding people systems that work at 1,000+ and 10,000+ scale. We are looking for candidates who have built at scale—not those who ...