Data Analyst
ABOUT US
ViaPlus is a global mobility company in the Intelligent Transportation Systems (ITS) market, specializing in revenue and services management solutions for the transportation industry.
Our full-featured, single-account back-office technology facilitates the high-volume transactions, customer operations, and data analytics required for seamless multimodal mobility.
As a VINCI Highways subsidiary, we are committed to technical innovation and to promoting a positive mobility experience for all.
VINCI Highways , a VINCI Concessions subsidiary, is a leader in road concessions, operation and mobility services. We design, finance, build and operate motorways, bridges, tunnels, urban roads and mobility services on a network of 4, km in 15 countries.
VINCI Highways leverages its expertise to deliver the highest performance and safety standards and treat drivers to a positive experience.
VINCI Concessions is an international player in transport infrastructure. We leverage our integrated model to design, finance, build, operate and maintain some 80 airports, motorways and rail projects in 23 countries, through our subsidiaries VINCI Airports, VINCI Highways and VINCI Railways.
We are committed to shared growth with regions and are actively making mobility ever more sustainable, efficient and innovative.
SUMMARY
Act as the interface between the business and operations for providing analytical support for day-to-day operations. Gathers data from across the business, analyze it and translate the results into a non-technical language for team members of all backgrounds.
Responsible for building data models to organize important data for different teams across the business and for monitoring and handling data.
Assesses programs, schema and process flows to advise business stakeholders on ways to align data and operational statistics with the goal being to evaluate and synthesize data needed to gauge program performance as well as, to identify areas of efficiency and improved performance.
Performs highly complex data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats.
Monitors and implements measures to ensure data quality. Responsible for using standard statistical tools, methods and techniques to translate data into actionable insights using data visualization software.
Works under limited supervision, with moderate latitude for the use of initiative and independent judgment.
MAJOR DUTIES AND RESPONSIBILITIES
The following items outline the major duties and responsibilities in addition, other duties may be assigned.
- Consults with internal and external customers to identify user needs to compile and query data.
- Determine operational objectives by studying business functions; gathering information; evaluating output requirements and formats.
- Interprets results to identify significant differences in data.
- Identifies and interprets data patterns and trends and assesses data quality.
- Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders
- Performs data analysis using standard statistical modeling, graphic analysis, tools, methods, and techniques.
- Convert complex data sets into reports that can easily be understood.
- Identifies data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data.
- Prepares comprehensive technical reports to present and interpret data.
- Troubleshoot and document operational, process and system defects.
- Extracting data from CRM and database systems to prepare routine reports as defined or answer ad-hoc senior leadership questions and requests.
- Analyzes unique operational events for root cause and reporting findings.
- Ability to understand questions, identify data required, synthesize reports, identify patterns, and anticipate additional areas of interest.
- Providing support for additional projects as required, including data to support planning for future growth.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and / or ability required.
- Must be self-starter.
- Ability to work with minimal direction in a fast paced / high-pressure environment.
- Ability to prioritize tasks and directly support the department managers.
- Good troubleshooting and error isolation skills.
- Excellent oral / written communication skills are required, including demonstrated ability to package analytical results into an executive summary and present to senior leadership.
- Advanced knowledge of Excel, Power BI, and SQL
- Intermediate skills of Word and PowerPoint; along with other MS Office products, such as Visio, Access
- Exercises logic and reasoning to define problems, establish facts and draw valid conclusions
SUPERVISORY RESPONSIBILITIES
There are no supervisory responsibilities with this position.
EDUCATION AND / OR EXPERIENCE
Bachelor’s degree in business, management, economics, accounting, finance, information system or significant progress towards a degree.
4 years in data analysis, research, compilation, and / or report writing and design work experience.
WORK ENVIRONMENT / PHYSICAL DEMANDS
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use the computer for an extended period, use a keyboard for typing, and talk and hear.
The employee is occasionally required to stand, walk, and reach with hands and arms and stoop and kneel. The employee must occasionally lift and / or move up to 15 pounds.
Specific vision abilities required by this job include close vision, and ability to adjust focus.
The noise level in the work environment is usually moderate.