最新2019DATA岗位职位来袭
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| Entry Level Data Analyst |
| Job Type: Full-time Location: Atlanta, GA |
| Responsibilities • Consult with clients, attorneys and other team members regarding the preservation and collection of data from technology systems. • Use of forensic hardware, software and techniques to properly collect data from a variety of data sources. • Common forensic and collection software that will be used includes: OpenText EnCase, Access Data FTK, BlackBag, MacQuisition, Cellebrite, Oxygen Forensics, PinPoint Labs Harvester, X1 Social Discovery, and other software applications common to the legal and technology industries. • Conduct remote and onsite collection interviews with client representatives. • Travel as necessary to collect data and work with clients. • Handling of data and documents including maintaining tracking logs for data received and loaded, chain of custody and an inventory of Media collected and received for each project. • Analyze collected data to find relevant information and facts needed to support clients and attorneys. • Extract relevant data from collection sources as needed. • Processing and filtering of native electronic documents using industry specific software and tools in order to prepare documents for analysis and to be imported into a review database. • Creating, maintaining, and troubleshooting litigation databases such as Relativity, Concordance, Casemap, Textmap, Livenote and other litigation technology software. • Tasks may include: data normalization, global edits, de-duplication, merging data into existing records, indexing and packing databases, generating cross-reference reports. • Work with Project Managers to address matter or project specific needs. • Providing application support and troubleshooting assistance to users. • Assist with various internal team projects as needed. • Document and maintain activities in project management database including time spent on projects and project status. Qualifications • Bachelor’s degree with outstanding academic performance (preferably in a technology / data / legal related discipline). • Strong technology acumen with the desire to quickly learn new technology. • Ability to work in a professional work environment. • Outstanding communication and presentation skills. • Client will consider true entry level / recent college graduates but prefers candidates with multiple internships and/or 1 to 2 years of post-graduate work experience. • Ability to travel up to 20% and all candidates must pass a full background check (criminal, credit, drug, etc.). |
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| Data Analyst, Engineering Operations |
| Job Type: Internship Location: Westlake, OH |
| Responsibilities • Extract, transform and analyze data from SQL databases and API’s • Develop dashboards that can be used to make critical business decisions • Work with Systems Engineers to understand data and dashboard needs • Identify, analyze, and interpret trends or patterns in complex data sets • Build infrastructure to make important data available to all business stakeholders • Locate and define new process improvement opportunities Qualifications • Experience with REST APIs, Python, SQL and Tableau (or similar visualization tools) • Advanced understanding of statistical methods • Demonstrated ability to create visually simple and actionable reports |
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| Data Analyst Intern |
| Job Type: Internship Location: Westlake, OH |
| Responsibilities • Prepare and clean data to prepare inputs for downstream analysis • Create standard reports using a variety of analytical tools and software • Build analyses using a wide variety of data sources and inputs • Develop solutions for both business leaders and for embedded analytics teams across the company • Have the ability to present solutions to audiences in both analytics and business roles. • Work with Technology staff as needed on data quality issues, metadata, etc. • Have the ability to balance a number of concurrent projects and/ or responsibilities Qualifications • Current GPA 3.0/4.0 or higher • Exposure to R, Python, SAS or similar statistical software • Basic Microsoft Excel skills • Familiarity with Microsoft PowerPoint • Possess individual initiative, creativity, and passion for quantitative analytics • Ability to handle multiple projects at once as well as plan and prioritize work • Ability to work in teams and understand cross-functional roles, responsibilities, and limitations |
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