Inivos (www.inivosglobal.com) leads innovation in technology, specializing in Enterprise Solutions, Product Development, and Staff Augmentation. Our team of over 180 professionals, including consultants, developers, and quality engineers, delivers cutting-edge solutions that set new industry benchmarks. Within just five years, we’ve established a robust client base across North America, the UK, Scandinavia, South Africa, UAE, Sri Lanka, Bangladesh, Singapore, Netherlands and Australia. We are looking for an experienced utility billing analyst to join our Managed Services team. You must have at least 5 years of experience in utility billing and auditing. Specifically, you will be responsible for setting up new billing clients, entering and reviewing utility consumption data, and auditing the bills. You will assist with customer service and support relating to invoice consumption data inquiries from our clients.  As a Data Analyst - Retail Billing, you will be responsible for:  - Ensure overnight bill runs are accurately completed, with invoices analyzed and distributed, and any exceptions identified and resolved in line with the Billing Operational Plan.  - Ensure customer enquiries are resolved promptly with effective solutions that balance the needs of both the retailer and the customer, while meeting all defined service level requirements.  - Ensure all Meter Data processes are correctly followed, and any data anomalies are identified and resolved in accordance with retailer service definitions and relevant market standards.  - Ensure both payment and market transfer processes are managed effectively and in compliance with the retailer’s service definitions and operational standards.  - Manage Life Support and market compliance processes in accordance with the latest market compliance guidelines.  - Make sure network invoices are examined and processed in line with the approved procedures.  - Make sure process documents and process mapping documents are created, reviewed, and updated to reflect the current processes.  - Coordinating with both internal and external teams, supporting business outcomes, and serving as a subject matter expert to offer guidance on system enhancements, conducting user acceptance testing, and managing tariffs.  - Prepare daily reports on client portfolio billing data, ensuring accuracy and visibility of key billing metrics.  - Implement proactive data solutions to improve billing accuracy and operational efficiency.  - Support settlement reconciliation activities to ensure reconciliation targets are achieved.  - Identify and resolve billing and settlement discrepancies to reduce revenue loss and maximise dispute resolutions.  - Ensure settlement environmental management activities comply with relevant market standards and regulatory requirements.

• Perform end-to-end manual testing of UI/data and analytics features. • Validate application workflows, UI behavior, and backend data processing. • Design and execute detailed test cases, test scenarios, and regression suites. • Perform exploratory, negative, and boundary testing. • Validate ingestion from files, APIs, and cloud storage. • Execute sanity, regression, and volume testing for large datasets. • Test and validate JupyterLab / notebook-based workflows. • Validate transformations, joins, aggregations, business rules, and calculations.

• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports and dashboards; • Build, maintain, and optimize automated reports and Tableau dashboards; • Identify, investigate, and resolve data discrepancies across data sources and reporting layers; • Collaborate with analysts and stakeholders to clarify requirements and ensure correct interpretation of metrics; • Monitor product and marketing performance and highlight trends, anomalies, and optimization opportunities; • Analyze traffic efficiency (ROI, LTV, conversion) to support data-driven decision-making; • Improve reporting processes and optimize dashboard performance to enhance efficiency and usability.

• Analyze user behaviour and outcomes to drive decisions • Run funnel, cohort, retention, time-to-value, and feature adoption analyses; pinpoint drop-offs and root causes. • Segment analytics by persona, account tier, industry, and/or region to illuminate who succeeds (or struggles) and why. • Combine quantitative signals with VoC (Voice of the Customer) data to produce decision-ready recommendations with expected impact. • Own product analytics platform & metrics framework • Administer and evolve Pendo: event taxonomy, instrumentation to close gaps, governance, and data quality. • Define standards for key product metrics at the product/feature level. • Build and maintain dashboards for product health and usage, ensuring quality and self-serve capabilities. • Drive VoC & GTM feedback loop data strategy • Automate ingestion of product insights, unifying inputs from GTM, support, surveys, and call transcripts. • Implement simple data pipelines to manage data in a robust, repeatable way, ensuring clear lineage and high data quality. • Implement taxonomy and process for feedback to be efficiently categorized, summarized, and prioritized in a data-driven manner. • Implement AI workflows (e.g., topic/intent extraction, clustering, summarization, anomaly detection) where feasible, with human-in-the-loop review and appropriate compliance guardrails. • Contribute to the product commercialization process by helping to define and measure product outcome metrics for product investments to test hypotheses early-on, then to assess ROI on Beta/GA launches. • Provide portfolio-level recommendations—what to scale, fix, or stop—based on impact and confidence. • Conduct analysis to identify opportunities and validate direction for both near-term product improvements and larger strategic bets. • Deliver self-serve dashboards, and/or training to raise analytics fluency; and help GTM team members use analytics as part of renewal and expansion motions. • Collaborate with product managers to design hypothesis-driven experiments to increase activation, stickiness, and expansion; define success and guardrail metrics, do analysis, and make recommendations. • Collaborate with product managers to identify and test growth levers with measurable outcomes.