TEOCO's Audit team is seeking a smart, self-motivated, and collaborative candidate. This is a great opportunity to gain or build upon experience in consulting, developing a foundation of utility invoice knowledge and learning software tools.
Responsibilities:
Candidate will lead a small team of individuals that would complete the following:
Auditing and optimization of rates (contracts/tariffs) in deregulated and regulated markets; detailed analysis of usage sensitive charges (electric, gas) to pinpoint incorrect rates or opportunities to decrease cost in the future
Identify incorrect combinations of charges billed based on client profile; leverage inventory and source systems to identify opportunities for data quality improvement,
Disputes of charges inaccurately billed, and/or disconnection of services no longer in use - this may involve work with field representatives of the client.
Evaluate the status of charges associated with sites in "temporary" status.
Investigate any flat-rated charges associated with landlord sites and look for consolidation opportunities where clients have more than one business entity at the same site; and evaluate the application of taxes and surcharges to client accounts.
Identified issues will be logged into a database of record for vendor action and/or client action and approval.
Team will be responsible for ensuring approved issues are worked to closure, any associated benefit to the client is captured, and, if applicable, amounts invoiced to client.
Lead will be expected to work with internal programming and system teams to automate processes as much as possible
Required:
Bachelor's Degree, preferably in Finance, Accounting, Economics, Math or Statistics.
Solid understanding of utility costs structures and regulations (electric, gas, water).
Excellent written and verbal communication skills.
Solid organizational skills
Superior software PC skills in MS Office Suite
Desirable:
5+ years of experience working in utility audit and optimization environment.
Prior exposure to Alteryx, Python, and/or R.
Prior experience with software querying tools.
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