Abhishek Sati

• Developed Python merge and transformation workflows for regional and workforce data consolidation, streamlining reporting processes.
• Set up automated GCS, BigQuery, and Cloud Run pipelines with trigger files to initiate downstream processing jobs.
• Optimised reporting datasets and dashboard performance using BigQuery, improving query efficiency and end-user experience across BI platforms.
• Developed and enhanced interactive dashboards and reporting solutions in Tableau and Looker Studio, ensuring accurate and timely visibility of operational and workforce metrics.
• Maintained executive and governance dashboards in Tableau and Looker Studio, providing monthly insights into Jira incidents, achievements, SLA adherence, and governance KPIs for stakeholder visibility.
• Combined occupancy worker and exclusion datasets for weekly reporting across NSW, QLD, VIC, and SA, enhancing data accuracy through defined business rules.
• Collaborated with business stakeholders to gather reporting requirements and translate them into actionable visual analytics and self-service reporting solutions.

Client: News Corp, AUS Media | Jul 2026 – Present | Hybrid

• Led team of 12 analysts and developers to deliver enterprise BI, automation, AI, and analytics solutions enhancing organisational insight.
• Built scalable reporting solutions leveraging Tableau, Looker, SQL, and BigQuery, enabling self-service analytics and executive decision-making across multiple business functions.
• Designed and developed interactive Tableau and Looker dashboards using BigQuery and semantic data models to visualise AHT, containment, win-back, billing, customer experience, and operational KPIs.
• Developed KPI monitoring frameworks and executive scorecards in Tableau and Looker, delivering actionable insights to US client leadership and driving data-driven business decisions.
• Improved bot containment from 12% to 46% through agent-bot interaction analytics, conversational flow optimisation, and performance monitoring dashboards.
• Collaborated with stakeholders to gather requirements and define KPIs, translating business needs into visual analytics solutions that supported strategic decision-making.

Client: Brightspeed, USA Telecom | Apr 2024 – Jun 2026 | Remote

• Optimised SAS workflows and reporting processes, improving data accuracy, performance, and operational reliability.
• Managed end-to-end reporting in SAS Enterprise Guide, delivering accurate data in a mainframe environment to support decision-making.
• Automated data extraction, validation, and reporting workflows, enabling timely insights and reducing manual effort.
• Produced daily, monthly, and regulatory reports, enabling finance, compliance, and operations teams to meet objectives.
• Developed and maintained interactive Tableau dashboards to visualise finance, compliance, operational, and business performance metrics for stakeholders.
• Collaborated with business users to understand reporting requirements and translate them into actionable visual analytics and dashboards.

Client: Danica Pension, Poland Insurance

• Developed interactive Tableau and Power BI dashboards to support data-driven decision-making in Audit & Assurance engagements.
• Executed financial risk, transactional, and benchmarking analysis on large datasets using SAS EG and Trifacta Tool, delivering strategic insights for informed decision-making.
• Partnered with global stakeholders to streamline audit analytics delivery processes, enhancing collaboration and efficiency.
• (Client: Multiple Consumer & Banking, USA)

• Contributed to an RPA project for a banking client, automating critical end-to-end business processes to streamline operations.
• Collaborated with cross-functional teams to analyse business processes and implement scalable RPA solutions, identifying automation opportunities that enhanced operational workflows.
• Provided insights and recommendations to optimise automation strategies, resulting in improved speed and accuracy of repetitive banking operations.
• Supported development, testing, and deployment of automated workflows, enhancing operational efficiency and minimising errors.
• Monitored and maintained automated processes post-deployment, ensuring performance and compliance with client standards.
• Created comprehensive project documentation, including process workflows, functional specifications, and technical guides, ensuring clarity and consistency for development and audit purposes.
• (Client: Citi Bank, US Banking )| Remote

• Contributed to a large-scale Barclays Bank migration programme (TSM to PCO Migration), modernising complex SAS processes and transforming tactical workflows into scalable strategic solutions.
• Automated, optimised, and validated end-to-end migration tasks using advanced SAS EGP, SMC, Flow Manager, and SAS Enterprise Guide, ensuring accurate and efficient migration execution.
• Developed and maintained three codebases (AS-IS, TSM, PCO), ensuring schema-level migration accuracy and data integrity through effective data reconciliation.
• Coordinated with cross-functional and business teams to achieve critical migration milestones, ensuring high-quality deliverables and a seamless transition to the PCO environment.
• Optimised reporting processes and reduced manual dependencies, aligning data and analytics capabilities with Barclays' target data architecture and reporting standards.
• Created Tableau dashboards and reporting solutions to effectively monitor migration progress, data quality metrics, process performance, and key business indicators for stakeholders.
• Streamlined analytical, reporting, and visualisation workflows by integrating migrated datasets into Tableau, enabling improved business visibility and self-service analytics.

Client: Barclays, UK Banking | Remote

• Manipulated complex and large-scale datasets using SQL and advanced data transformation techniques, while delivering highly optimised SAS code and efficient workflows.
• Developed clean, well-structured, and thoroughly tested code for multiple analytics and automation projects at Google, addressing diverse business use cases such as Parent–Child Chain (Hotels), Partner Joining Match, Banking Credit Analysis, Customer Segmentation, Customer Classification, and GeoMap Analysis.
• Developed SAS programs for statistical outputs and analytical deliverables that met Google's specifications and quality standards, ensuring reliable data reporting.
• Used Python (Pandas) for sanity checks, code validation, and data quality verification to ensure accuracy, consistency, and reliability across all deliverables.
• Automated daily maintenance tasks and streamlined database analysis through creation and maintenance of SAS Macro programs, enhancing workflow efficiency.
• Presented analytical outputs via tabular summaries, graphical visualisations, and dashboards for internal reviews and client presentations, promoting clarity and accessibility of data insights.
• (Client: Google, USA Travels)