Sr. Financial Analyst, Financial Reporting & Analysis

Lowes Foods•Winston-Salem, NC

About The Position

The Sr. Financial Analyst will contribute to the company's success through providing financial and analytic partnership and deliverables. The Sr. Financial Analyst will work with their business partners to ensure optimal short-term and long-term decision making. They will provide assistance “planning the work” and then “working the plan” most efficiently and effectively. Financial data is at the core, but the FR&A team will be responsible for providing a balanced view of the business including operational metrics and activity drivers. To be successful in this role, this individual must have FR&A and analytical experience. This person should also have good presentation skills, experience working with large amounts of data (transactional, point of sale and/ or customer data preferable) and experience building reports (standardized, interactive self-service and/ or adhoc).

Requirements

Bachelor's Degree in Finance, Analytics or similar quantitative field of study.
3+ years of progressive Finance experience.
Experience working in Microsoft tools (i.e. Excel, PowerPoint).
Working knowledge in Financial/ GL Systems (i.e. Fusion, Hyperion).
High level of drive, enthusiasm and ability to naturally emerge as a respected leader.
Strong desire to learn and improve; intellectually curious. High standards of accuracy.
Demonstrated ability to work with ambiguity. Ability to proactively identify needs and solve complex problems.
Ability to maintain an unbiased, financial stewardship focus and not cross the line too far into the business partner's team.
Excellent written and verbal communication skills. Ability to proactively manage the message & expectations (all levels).
Ability to effectively handle multiple competing priorities, and manage deadlines under pressure.
Works with integrity in a manner consistent with Alex Lee's values and ethics.
High accountability that delivers on commitments and holds others to the same.

Nice To Haves

Prior FR&A experience at a large company ($1B+ Sales) preferred.
Experience working in business intelligence software (i.e. Cognos, Microstrategy).
Working knowledge in Database querying tools, Visualization tools, Statistical tools.
Strong industry knowledge in retail, wholesale, distribution and/ or consumer packaged goods.

Responsibilities

Partner with an assigned operational area to deliver critical business deliverables.
Build ROI/ business models (ST & LT) for major capital expenditures, projects, ventures, promotions.
Analyze profitability for key areas of assigned operational area.
Provide proactive variance analyses.
Produce proformas and post reviews/ measurement for key initiatives.
Develop & deliver ad-hoc decision support (financial data in addition to operational data).
Set up and measure test and learns, as appropriate for assigned operational area.
Create, provide and partner on descriptive analytics & exploratory data analytics – “What”.
Create, provide and partner on diagnostic analytics – “Why”.
Create, provide and partner on predictive analytics – “What if”.
Create, provide and partner on prescriptive analytics – “Next best action”.
Produce assigned deliverables for the annual financial operating plan (as required for assigned operational area) with driver based targets; guide partner through process and ensure understanding and alignment on all budget submissions.
Deliver single and “rest of year” financial forecasting.
Deliver (through collaboration with partner) on periodic business reviews.
Prepare Executive (i.e. Leadership, Board Meeting) presentations, schedules & required support (including KPIs and Scorecards).
Do competitive benchmarking, macro-environment and market share/growth analyses; as required for assigned operational area.
Working with assigned operational area, provide the financial view for the longer term (3-5 year) planning process.
Model financial outcomes of the strategies.
Identify & track KPIs/ balanced scorecards which link to the strategies.
Provide data sourcing, wrangling, querying & modeling for discovery analytics.
Develop standardized, self service performance reporting.
Build requirements & validate production ready metrics and reports.