... work closely with CS Managers, Supervisors, and contact centre agents to balance workloads, maintain service standards, and deliver actionable insights through data-driven analysis. Additionally, the WFM Analyst will support the ongoing configuration and maintenance of contact centre systems within the client services group ...
... workflow and the timely completion of routine tasks. He/She will be involved in maintaining records and ensuring the accuracy and legitimacy of the client’s data. Solid administrative assistance and clerical skills, including filing, scheduling, document handling, and basic data entry. Basic knowledge of office equipment, ...
... hybrid deployments. Integration & Automation Integrate CRM, Contact Center, ITSM, and enterprise applications. Develop APIs and workflow automations. Configure data pipelines and AI services. Reliability & Operations Monitor solution performance and availability. Support SRE and observability initiatives. Troubleshoot production ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... supervised, unsupervised, and reinforcement learning methods where relevant.- Time Series Analysis : Conduct forecasting and trend analysis for marketing and sales data.- Leadership : Mentor junior data scientists, set modeling standards, and ensure delivery excellence.- Collaboration : Work closely with marketing, product, and ...
... airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make ...
... fund data and technology. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. As a Data Analyst you will play a key role in delivering accurate mutual fund data. You'll work with a global team, gain exposure to financial data processes, and grow ...
... Description :As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, ...
... Advanced Python Programming, Databricks , Azure SQL , Data factory (ADF), Data Lake, Data storage, SSIS. Create and deploy scalable ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL . Experience in Unity Catalog for centralized data governance, access control, and data lineage tracking. Develop unit tests ...
About Position: This role requires a strong background in data analytics and BI development, with a primary focus on Power BI and Snowflake. The candidate will work on building, managing, and optimizing data pipelines, reports, and dashboards while collaborating with clients and internal teams. Role: Data Analyst Location: ...
... business logic, and data transformations across large-scale systems. - Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues. - Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake. ...
... with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis. Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices. 3+ years of experience in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven ...