2.0 - 6.0 years

0 Lacs

haryana

On-site

As a Business Intelligence and Data Visualization specialist, you will play a crucial role in developing and maintaining the reporting infrastructure to support stakeholders in gaining insights into their advertising campaigns. Your responsibilities will include retrieving, compiling, transforming, and validating data to create dashboards for various clients, leading to the analysis and optimization of media investments. Your key responsibilities will involve data integration and transformation, where you will extract and integrate data from multiple platforms using tools such as Supermetrics, APIs, or FTP into Google BigQuery. You will also be tasked with building and maintaining automated data pipelines and workflows to ensure efficient and accurate data ingestion. In the realm of data analysis and reporting, you will be responsible for developing and maintaining interactive dashboards and reports in tools like Looker Studio or Power BI to visualize key metrics. Additionally, you will structure and automate End-of-Campaign (EoC) reports for scalable reporting and address ad hoc data requests while updating dashboards based on evolving needs. Ensuring data accuracy through data validation and QA processes will be a crucial part of your role. You will conduct QA checks between media platforms and reporting outputs using tools like SQL, Excel, and DAX to identify and resolve data discrepancies, monitor data feeds for gaps or failures, and troubleshoot issues. You will also oversee QA processes for data provision to client data warehouses. Furthermore, you will collaborate with client teams to resolve data gaps and escalate issues as needed while building and maintaining taxonomy workflows to ensure adherence to naming conventions across all media channels. To excel in this role, you should have proven experience as a BI Analyst or in a similar role within data and analytics. Ideally, you will have 2-4 years of work experience in data management, data visualization, and data analytics, preferably in a marketing or media agency. Experience with Looker Studio for building dashboards is a must, along with knowledge of visual techniques for data analysis and presentation. Experience with pipeline tools like Supermetrics/Adverity, working in a Cloud environment (Google Cloud Platform), SQL, and Python is highly desirable. Your success in this position will also depend on your ability to ask questions, provide thoughtful answers, communicate effectively, think strategically, and collaborate with a partnership mindset. Your high sense of accountability, ownership, curiosity, and willingness to learn will be key attributes in thriving in this fast-paced and deadline-driven environment. If you are a proactive problem-solver with strong analytical skills and a passion for data visualization and analytics, we encourage you to apply for this role and be a part of our dynamic team.,

Posted 2 weeks ago

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Lead Engineer - Data Engg & AI Anblicks

2.0 - 8.0 years

0 Lacs

hyderabad, telangana

On-site

You will be responsible for designing, developing, and maintaining data pipelines and ETL workflows for processing large-scale structured/unstructured data. Your expertise in AWS Data Services (S3, Workflows, Databricks, SQL), big data processing, real-time analytics, and cloud data integration is crucial for this role. Additionally, your experience in Team Leading will be valuable. Your key responsibilities will include redesigning optimized and scalable ETL using Spark, Python, SQL, UDF, implementing ETL/ELT Databricks workflows for structured data processing, and creating Data quality checks using Unity Catalog. You will also be expected to drive daily status calls, sprint planning meetings, and ensure the security, quality, and compliance of data pipelines. Collaborating with data architects and analysts to meet business requirements is also a key aspect of this role. To qualify for this position, you should have at least 8 years of experience in data engineering, with a minimum of 2 years working on AWS services. Hands-on experience with tools like S3, Databricks, or Workflows is essential. Knowledge in Adverity, experience with ticketing tools like Asana or JIRA, and data analyzing skills are considered advantageous. Strong SQL and data processing skills (e.g., PySpark, Python) are required, along with experience in data cataloging, lineage, and governance frameworks. Your contribution to CI/CD integration, observability, and documentation, as well as your ability to quickly analyze issues and drive collaboration within the team, will be instrumental in achieving the goals of the organization.,

Posted 1 month ago

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