170+ Years Strong. Industry Leader. Global Impact.
At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence.
Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our family of industry subject matter experts.
The Business Data Analyst, assigned to one of Pinkerton's largest global clients, will be responsible for the process of inspecting, cleaning, validating, transforming, and modeling data to discover useful information, suggesting conclusions, and supporting decision making focused on growth. The Analyst monitors all sources of data information to proactively identify risks and threats that could impact the company's people, assets, and reputation.
* Represent Pinkerton's core values of integrity, vigilance, and excellence.
* Create and present metric reports for the designated region and/or function.
* Conduct data analysis to examine data sets to conclude the information contained therein.
* Ensure data integrity and reliability by implementing processes that produce consistent results.
* Perform periodic data reviews, gap analysis, and formulate process improvement plans.
* Lead and support data-driven projects including data entry, database case management audits, data and gap analysis, and database query configuration.
* Conduct User Acceptance Testing (UAT).
* Provide business data analysis and identify technical solutions to challenges that impact the business.
* Handle approved requests for data audits, metrics, and report generation.
* Manage and oversee BI Dashboard activities, projects, requests/tasks and escalate issues, as needed.
* Draft SQL data queries, reports, and metrics and obtain approvals before publishing.
* Perform SQL database manipulation as part of exploratory data analysis via Python.
* Provide support to the manager in the overall database case management process, procedures, and requirements.
* Utilize structured analytic techniques to develop tailored data products.
* Gather and analyze data to facilitate improvement in the methodologies, tools, and techniques to enable the team to scale and optimize operations to mitigate potential risk.
* All other duties, as assigned.
Bachelor's degree and at least five years of experience in visual and graphic design, Excel, Microsoft certified, Google certified, or other data analytics programs, or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company.
* Effective analytical and problem-resolution skills.
* Able to carry out responsibilities with little or no supervision.
* Attentive to details and accuracy.
* Able to work in a fast-paced environment under multiple deadlines and competing priorities.
* Effective written and verbal communication skills.
* Serve as an effective team member.
* Customer service and results orientation.
* Computer skills; Microsoft Office, Google sheets, Power BI, Tableau, and Data studio.
Working Conditions
With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions;
* Regular computer usage.
* Occasional reaching and lifting of small objects and operating office equipment.
* Frequent sitting.
* Evenings and weekends, as required, to ensure the successful completion of work assignments.
* Travel, as required.
Pinkerton is an equal opportunity employer to all applicants and positions without regard to race/ethnicity, color, national origin, ancestry, sex/gender, gender identity/expression, sexual orientation, marital/prenatal status, pregnancy/childbirth or related conditions, religion, creed, age, disability, genetic information, veteran status, or any protected status by local, state, federal or country-specific law.