POSITION SUMMARY
Reporting to the Senior Specialist, Operations Business Intelligence, the Analyst, Business Intelligence and Reporting is integral to TPA's success as a data informed organization. The Analyst works closely with all departments to maintain, implement, and drive a business intelligence and revenue management culture within the organization, while driving revenue growth, internal efficiencies and ensuring the continued growth of BI services. Key responsibilities of this position include analyzing complex business problems and providing strategic insight using internal and external data, identifying, and interpreting data trends, and producing reports. Through the use of BI tools, the Analyst uses data to provide insight, drive results and influence change across the organization.
RESPONSIBILITIES
Data Analysis and Analytics

• Analyze, manipulate, review and present large amounts of data to business partners and leaders.
• Ensure data quality throughout all stages, including data collection, normalization, and transformation.
• Develop and maintain key performance indicators, measuring performance of the business and relating findings to individual positions on various organizational levels.
• Maintain and create advanced dynamic data integrations to enable regular real time KPI reporting.
• Analyze performance results, identifying options of action and establish corrective initiatives to achieve better results.
• Maintain and ensure accuracy of master data library, the one source of truth for entire organization, including inventory, pricing tables, pricing structures and hierarchies.
• Increase revenue across the organization by analyzing and extracting insight from multiple sources of data.

Data Mining and Statistical Modeling

• Utilize machine learning and program languages to build mathematical models that apply to real-world scenarios in parking management. Document processes and outcomes.
• Generate revenue and transaction projections in collaboration with management, considering various data inputs. Ensure the integrity of data used for analysis through diligent processing and cleansing.
• Maintain and build occupancy, demand, and seasonality models to optimize pricing strategies for different customer segments.
• Conduct dynamic competitor, venue, and sentiment analysis.

Reporting

• Create and maintain analytical reports and dashboards to monitor trends and detect outliers.
• Responsible for the accuracy, quality & timeliness of fixed/ad hoc reporting and dashboards.
• Monitor and analyze KPI results and help propose corrective actions for areas lagging behind targets.
• Explain insights, complex problems, solutions, or the essence of a quantitative model to non-technical staff.
• Leverage strong business acumen, presentation, and communication skills to create and present analysis in a relevant, consumable, meaningful and insightful ways.
• Perform ad-hoc analysis and participate in special projects as necessary.

Drive a Data Driven Culture

• Build trust and adoption in Business Intelligence tools.
• Meet with internal BI stakeholders to provide coaching and onboarding. Motivate others; build commitment and excitement around shared goals and achievements.
• Create organization impact and influence by leveraging networks and cross-functional partnerships.
• Assist in the on-going development and deployment of advanced analytical tools within TPA, support training to all levels of competence.
• Other duties as assigned.

QUALIFICATIONS:

• Bachelor's degree in business, Computer Science, Math, Statistics or Economics.
• 1-3 years + of experience in a business intelligence, data science or revenue/yield management role.
• Experience converting large amounts of multi-faceted data into meaningful reports.
• Strong data visualization skills and experience using various visualization tools like PowerBI/Tableau/Looker or similar is required.
• Proficiency in open-source languages (R, Python), Excel, SQL, and relational databases is required.
• Advanced MS Office user, with a particular emphasis on advanced Excel skills (look-up functions, VBA macros, complex logical statements, charts pivot tables, etc.).
• Experience using PHP, SAP, MS Fabric, Dax, and Google Analytics, considered an asset.
• Experience collecting large data from multiple sources including API and SFTP, considered an asset.
• Dynamic pricing experience and revenue management from parking, hotel, airline, or retail industries, considered an asset.
• Experience designing, developing, implementing and maintaining a database, and programs to manage data analysis efforts
• Strong project management skills with the ability to work on multiple concurrent projects.
• Ability to articulate analyses and communicate effectively with all levels of the organization.
• High level of curiosity and investigative mind-set with an attention to detail and accuracy.
• Team player with excellent organizational, evaluation and interpersonal skills.
• Internal candidates: No new or reclassified employee with less than one (1) year's continuous on the job service may apply.

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