Senior Analyst FDS&A_FBM

Lowe's; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Lowe's India is seeking a Senior Analyst, FP&A to build high-quality FP&A, reporting, financial modeling and decision-support capabilities for FBM. This hands-on role requires expertise in FP&A, financial modeling and data analysis, with proficiency in SQL and Python.

You will work with large datasets, data lakes and financial hierarchies, translating raw data into actionable insights, and partnering with finance leaders to drive business performance from Bengaluru.

Qualifications

• B.Tech/B.Com/Finance/Economics degree; MBA Finance/CA preferred.
• Strong FP&A, financial modeling, and variance analysis experience.
• Proficiency in SQL, Python, Excel, and Power BI for analytics.

Responsibilities

• Perform FP&A reporting, forecasting, planning and variance analysis across FBM.
• Build driver-based financial models to explain sales, margin and expenses.
• Develop and maintain analytical datasets, data models and dashboards.
• Collaborate with FP&A and business partners in the US to drive performance.

Skills

SQL

Python

Power BI

Excel

FP&A

Education

B.Tech / Commerce / Finance / Economics degree

MBA Finance or CA preferred

Tools

Power BI

Excel VBA

Job description

About Lowe's

Lowes is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.

Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

Job Summery

The Senior Analyst, FBM FP&A will be a hands-on finance and analytics professional responsible for building high-quality FP&A, reporting, financial modeling and decision-support capabilities for FBM.

This is not a role for someone learning how to operate as a Senior Analyst.

The role requires a strong combination of FP&A expertise, financial modeling, SQL, Python, data interpretation, business acumen and communication. The Senior Analyst must leverage Lowe’s best FP&A and retail practices and apply them to the FBM business.

The Senior Analyst will work with detailed transaction-level data, navigate new data lakes and financial hierarchies, understand unfamiliar data fields and definitions, and convert raw information into financial models and insights that explain business performance.

Key Responsibilities

FP&A and Financial Analysis

• Perform financial reporting, forecasting, planning, variance analysis and ad hoc business analysis across FBM.
• Build financial models to explain and decompose sales, margin, expense, productivity and other business performance drivers.
• Develop driver-based forecasting models using appropriate operational and financial inputs.
• Support monthly, quarterly and annual FP&A cycles, including close, forecast, outlook and planning processes.
• Perform scenario analysis using multiple approaches and recommend the most appropriate path based on data, facts and business context.
• Move beyond reporting variances to explain why performance changed, what is driving the movement and what actions the business should consider.
• Establish and maintain key financial and operating metrics.

Data and Advanced Analytics

• Independently work with large, complex and unfamiliar datasets.
• Navigate transaction-level data, data lakes, financial hierarchies, master data and evolving data definitions.
• Use SQL extensively to extract, join, validate and analyze data from multiple sources.
• Use Python for analytical modeling, automation, data transformation, statistical analysis and scalable financial analysis.
• Develop analytical datasets and reusable data models that improve consistency and repeatability.
• Identify data-quality issues, reconciliation gaps and inconsistencies across sources.
• Work with Technology and Data teams to understand source systems and improve reliability of financial information.
• Use analytical and statistical methods, where appropriate, to segment and benchmark stores, branches, customers, products or other business entities using financial and operational characteristics.

Financial Modeling and Decision Support

• Build robust models that connect financial outcomes to underlying operational drivers.
• Develop frameworks for sales decomposition, expense decomposition, margin analysis, productivity, forecasting and business performance measurement.
• Translate ambiguous business questions into structured analytical problems.
• Evaluate alternative hypotheses rather than defaulting to the first available explanation.
• Develop business cases, scenario models and decision-support analyses for Finance and business leaders.
• Progressively support deeper areas such as pricing, costing, customer profitability, margin decomposition and operational productivity.

Reporting, Visualization and Automation

• Build and maintain financial reports, dashboards and analytical tools used for forecasting, performance management and decision-making.
• Help rationalize existing reporting by identifying redundant, low-value or duplicate outputs.
• Build scalable self-service reporting solutions where appropriate.
• Use Power BI as an analytical and visualization platform rather than merely as a mechanism to extract data.
• Leverage Excel, Power Query, Power Pivot, VBA, SQL and Python to automate recurring processes and reduce manual intervention.
• Ensure reports and analytical models are accurate, controlled, documented and repeatable.
• Maintain an uncompromising focus on accuracy and timeliness.

Business Partnership

• Work directly with FBM Finance leaders and business partners in the United States.
• Independently initiate conversations with stakeholders when additional context or clarification is required.
• Participate actively in performance reviews, FP&A discussions and business meetings rather than functioning only as a back-end analyst.
• Develop sufficient understanding of FBM’s business to engage directly with field operators and business leaders on performance.
• Explain complex financial models, analytical logic and data findings in simple business language.
• Convert business questions into analytical frameworks and analytical findings into clear business implications.
• Build credibility through strong analysis, responsiveness, business understanding and sound judgment.

Thought Leadership and Constructive Challenge

• Bring an independent point of view to the work.
• Question existing processes, methodologies and assumptions when the underlying logic can be improved.
• Be comfortable challenging the status quo respectfully and using data to support an alternative perspective.
• Identify opportunities proactively rather than waiting for detailed instructions.
• Work through ambiguity when the initial problem statement, available information or analytical approach is incomplete.
• Present multiple possible approaches and recommend a path based on evidence.
• Demonstrate intellectual curiosity and a strong desire to understand why a result occurred, not merely report that it occurred.

A successful Senior Analyst will:

• Independently own complex FP&A and analytical deliverables.
• Build credibility directly with FBM Finance and business leaders.
• Become highly proficient in navigating FBM’s data environment.
• Develop financial models that materially improve understanding of business performance.
• Turn fragmented data into clear, decision-ready insights.
• Identify data, process and reporting issues without waiting for someone else to point them out.
• Consistently deliver accurate, timely and well-controlled outputs.
• Simplify complicated financial and analytical concepts for non-technical audiences.
• Challenge weak assumptions or processes constructively.
• Help transition the team from basic reporting toward stronger forecasting, analytics and decision support.
• Become someone stakeholders approach with difficult questions, not merely routine reporting requests.

Qualifications

• B.Tech, Bachelor of Commerce, Finance, Accounting, Economics or related undergraduate degree, with MBA Finance, Chartered Accountant or equivalent advanced qualification preferred.
• 4+ years of relevant experience in FP&A, financial analytics, business finance or decision support.
• Strong financial planning, forecasting, variance analysis and financial-modeling experience.
• Intermediate to advanced SQL querying skills. This is a core requirement.
• Intermediate to advanced Python capability for analytics, automation and data manipulation. This is a core requirement.
• Advanced Microsoft Excel skills, including Power Query, Power Pivot and automation techniques. VBA exposure is valuable.
• Strong Power BI capability.
• Exposure to environments such as GCP, Teradata, Hadoop or similar enterprise data platforms.
• Strong data collation, compilation, validation, visualization and analytical skills.
• Strong lateral thinking, problem solving and data-interpretation ability.
• Ability to independently structure ambiguous business problems.
• Ability to build clear, intuitive financial-performance commentary.
• Ability to work independently in a fast-paced and rapidly changing environment.

We are particularly interested in Senior Analysts who are:

• Already proven at Senior Analyst level, rather than candidates aspiring to grow into the role.
• Technically strong enough to work independently with SQL, Python, Excel and Power BI.
• Comfortable opening a new dataset and figuring out unfamiliar columns, tables, hierarchies and definitions.
• Strong financial modelers who can connect business activity to P&L outcomes.
• Capable of engaging directly with senior Finance stakeholders.
• Confident enough to speak directly with field operators and explain performance in practical business terms.
• Comfortable asking difficult questions when numbers, assumptions or processes do not make sense.
• Curious enough to keep digging when the initial answer looks incomplete.
• Able to simplify complex analytical logic for senior leaders.
• Comfortable working without a perfectly defined problem statement.
• Proactive enough to identify the next question before being asked.
• Collaborative, but not passive.
• Respectful, but not afraid to disagree.
• Focused on business outcomes rather than simply completing tasks.