Senior Analyst – Accounting Analytics & Reporting

Role overview

Senior Analyst – Accounting Analytics & Reporting at Lowes India

Analytical and problem-solving mindset.

This role combines accounting and financial analysis with strong technical and analytical capabilities to ensure accurate reporting, strengthen controls, improve operational visibility, and enable informed business decision-making.

Responsibilities

• Perform accounting and financial analysis using large and complex datasets to identify trends, exceptions, variances, risks, and opportunities.
• Develop, maintain, and enhance recurring accounting reports, dashboards, scorecards, and management reporting solutions.
• Perform reconciliations and data validations to ensure the completeness, accuracy, and consistency of accounting and financial information.
• Support and strengthen accounting controls, governance, compliance, and reporting accuracy through data-driven analysis and monitoring.
• Design and develop scalable analytics, reporting, and automation solutions using SQL, Power BI, Excel, Python, and other data and automation technologies.
• Provide analytical support for ad-hoc business requests, special projects, process improvements, and strategic initiatives.
• Collaborate with business and technology teams on data, reporting, system modernization, automation, and process-enhancement initiatives.
• Maintain appropriate documentation of business rules, reporting methodologies, data definitions, processes, controls, and analytical solutions.

Required qualifications

• Primary Skills – Must Have.

Preferred qualifications and skills

• Secondary / Preferred Technical Skills.

Employment details

• Location: Bengaluru [Karnātaka] [India]

Additional role details

• The Senior Analyst – Accounting Analytics & Reporting is responsible for partnering with Accounting leaders and cross-functional teams to deliver impactful, data-driven analytics and reporting solutions supporting the Chief Accounting Officer (CAO) Office.
• The Senior Analyst will independently analyze complex datasets, identify trends and exceptions, investigate accounting and operational issues, and develop scalable reporting and automation solutions.
• The role will also partner with business and technology teams to translate requirements into effective analytical solutions and identify opportunities to modernize and improve existing accounting processes.
• Support month-end, quarter-end, and year-end close activities through reconciliations, accrual and journal-entry support, variance analysis, data validation, and analytical review.
• Translate accounting and operational data into meaningful insights and actionable recommendations for Accounting leadership and business stakeholders.
• Independently investigate accounting and data discrepancies, perform root-cause analysis, and partner with appropriate stakeholders to drive timely resolution.
• Identify opportunities to automate and modernize manual accounting, reporting, reconciliation, and analytical processes to improve efficiency, scalability, accuracy, and operational controls.
• Partner with Accounting stakeholders to understand business requirements, assess technical feasibility, and translate requirements into effective analytical and reporting solutions.
• Present analytical findings, risks, recommendations, and proposed solutions clearly to both technical and non-technical stakeholders.
• Provide analytical and technical guidance to team members and business partners and contribute to the adoption of analytics and automation best practices across Accounting.
• Required Minimum Qualifications.
• Bachelor’s degree in Accounting, Finance, Analytics, Engineering, Business Intelligence, or a related field. 5+ years of relevant experience in Accounting Analytics, Financial Analytics, Reporting & Analytics, Business Intelligence, or a related analytical function.
• Demonstrated experience analyzing large and complex datasets and translating analysis into actionable business insights.
• Experience working with multiple stakeholders and cross-functional teams across locations.
• Strong problem-solving skills with the ability to independently investigate issues, perform root-cause analysis, and recommend solutions.
• Strong written and verbal communication skills with the ability to communicate complex analytical concepts to both technical and non-technical stakeholders.
• Postgraduate degree in Finance, Accounting, Business Analytics, or a related discipline.
• Experience supporting Accounting or Finance functions in a large enterprise environment.
• Experience with accounting processes including reconciliations, financial close, journal entries, variance analysis, financial controls, and management reporting.
• Experience with process automation, reporting modernization, and development of scalable analytical solutions.
• Business Requirements & Analytical Problem Solving: Strong analytical and problem-solving skills with the ability to understand complex accounting and business requirements, translate business questions into analytical requirements, identify appropriate data sources, perform root-cause analysis, and develop scalable data-driven solutions.
• SQL & Data Analysis: Strong SQL expertise with experience working with large and complex datasets, including complex joins, CTEs, window functions, aggregations, DDL/DML, stored procedures, query optimization, and data transformations.
• Python & Automation: Strong working knowledge of Python for data analysis, data transformation, automation, scripting, reconciliation, and development of custom analytical and process solutions.
• Power BI, DAX & Data Modeling: Strong experience developing end-to-end Power BI solutions, including data modeling, relationships, measures, DAX, Power Query, dashboard development, visualization, and reporting.
• Ability to translate complex datasets and business requirements into intuitive dashboards and actionable insights.
• Data Platforms & Databases: Experience working with enterprise data platforms and relational databases, including Google Cloud Platform (GCP)/BigQuery, MS SQL Server, and PostgreSQL.
• Ability to identify, integrate, validate, and analyze data across multiple data sources.
• Data Validation & Reconciliation: Experience performing data validation, reconciliations, exception analysis, and control checks to ensure completeness, accuracy, and consistency of financial and accounting reporting.
• Workflow & Data Pipeline Automation: Experience developing, scheduling, or supporting automated data and reporting workflows using technologies such as Alteryx/Knime, Apache Airflow/DAGs, Python, or similar orchestration and automation tools.
• Microsoft Power Platform: Experience with Power Apps, Power Automate, Power Query, and SharePoint for developing workflow, reporting, and process-automation solutions.
• Excel: Advanced Microsoft Excel skills for complex data analysis, financial/accounting analysis, reconciliations, reporting, and automation.
• Communication & Data Storytelling: Ability to translate complex analytical findings into clear business insights, recommendations, dashboards, and presentations for Accounting leadership and technical and non-technical stakeholders.
• Experience with ETL and data-transformation tools such as KNIME and/or Alteryx.
• Experience developing automated workflows and modernizing manual accounting and reporting processes.
• Familiarity with cloud-based data environments, data pipelines, and enterprise analytics solutions.
• Accounting and financial acumen.
• Ownership and accountability.
• Attention to detail and data accuracy.
• Stakeholder management.
• Effective communication and data storytelling.
• Ability to manage multiple priorities and deliver independently.
• Collaboration across Accounting, Finance, Business, and Technology teams.