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1

Audit Data Analyst

Job Type: Full-time Location: Livingston, NJ

Responsibilities • Work as part of a team to identify, design, develop, and document analytics that will support audit testing, continuous auditing, continuous monitoring, automation, and fraud identification. • Act as a business analyst to develop requirements for reports through interaction with the auditors. • Script analytic routines that can be pushed to business partners to maximize return on investment. • Build productive relationships with internal audit team members, peers, data owners and IT to ensure availability of information and to encourage the development of new analytics. • Support the corporate investigations group with periodic forensic investigations and root cause analyses. Qualifications • Programming experience in one of the following languages: SQL, Python, C# or Perl. • Experience with database development. ETL package development/deployment is highly desirable. • Advanced MS Excel skills including pivot tables, vlookups, index/match, and macros. • Experience with visualization tools, such as Power BI, Qlikview, and/or Tableau, is a plus. • Ability to synthesize meaningful insights from disparate sources of data. • Strong written and verbal communication skills, with experience working as a member of a multi-member team on a variety of cross-department projects. • Maintains a healthy level of auditor skepticism in all situations.Education & Experience:  • Bachelor’s (or higher) degree in Accounting, Information Management, Statistics, Mathematics, Economics, Engineering, Decision Sciences, Data Sciences or related field. • 2 – 3 years’ experience, preferably in banking

2

Data Analyst MBA Intern

Job Type: Internship Location:  San Jose, CA

Responsibilities • Autonomously collect data and create reports to improve cloud migration strategy insights and processes. • Document work and train others on the reports, processes and tools created. • Prototype and develop dashboards for data analysis, providing recommendation based on analysis. • Work with the Cloud and Customer Solutions team as they plan and coordinate future strategies.  Qualifications • Working towards an MBA or Masters in Computer Science or similar degree from an accredited university or college. • Ability to translate business questions into structured analysis, take data analytics into business insights, make data-driven decisions and highly results-oriented. • Demonstrate experience, familiarity and ease with handling large data sets and crunching numbers. • Exceptional organizational, presentation, and communication skills as well as experience in the role of using statistical analysis. • Exceptional written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership. • Effective communicator with an open-minded attitude within a diverse community of technical and non-technical stake holders. • The ideal candidate will have technical familiarity with tools such as Power BI, Tableau or Panarama.

3

(Intern) Data Analytics Engineering

Job Type: Internship Location: San Francisco, CA

Responsibilities • Use best practices to build data architecture and combine multiple data streams so that our business users can read results in SQL, Big Query and one-off reports. • Identify, analyze and report on performance and KPIs such as device field performance metrics, manufacturing data, cohort analyses, demand planning, returns metrics etc. • Help optimize team efficiency by refining our supply/demand matching processes • Proactively identify areas for improvement in the business through data • Champion, role model, and embed Samsara’s cultural principles (Obsess Over the Customer, Build for the Long Term, Growth Mindset) as we scale globally and across new offices Qualifications • Is pursuing a major focused on analytics, data science or statistics • Is passionate about applied analytics – you love data, gleaning insights from data and making data driven decisions • Has experience with mySQL (or similar), R and Python and analytics tools (Google Analytics and Tableau) • Has experience with quantitative analysis – experience extracting, manipulating, and analyzing large data sets using SQL(or graphQL) and understand basic statistics; experience with advanced visualization tools is a plus • Has excellent communication and presentation skills – effectively presenting insights is as important as the insights themselves

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