Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are looking for an enthusiastic, analytical, and commercial problem solver to join our team as a Sales Analyst. You will work cross-functionally with Sales, Finance, and other stakeholders to improve the productivity of the sales team by leveraging your excellent communication, analytical, and data manipulation skills. Experience in data visualization and proficient coding skills are essential. The ideal candidate must be detail-oriented, data-driven, and possess excellent analytical skills. Creating partnerships with sales leadership, building efficient, scalable sales processes, and developing deep customer insights will be critical to success.

Responsibilities

• Supporting business through data analysis and research
• Running data insights covering sales pipeline as well as closed deals
• Creating data documentation including processes and data dependencies
• Conducting data review and verification and ensures corrections clarifications are made in a timely manner
• Providing data literacy problem solving to less technical teams (Business Partners, Sales, Customer Success etc)
• Resolving and/or guiding data sources in resolving basic data issues within specific functional area or data type.

Requirements

• Display excellent data literacy, communication, and interpersonal skills with great attention to detail
• Have the ability and desire to learn new processes, tools, and technologies
• Excellent proofreading skills demonstrating facts can be linked together to create more meaningful conclusions
• Proficiency with data transformation tools, analysis tools and processes
• Proficiency with various data types and formats including, but not limited to: XML, flat files
• Demonstrate proficiency with development languages such as SQL, UNIX, Linux, XML, HPCC, etc
• Good experience in data management area with analytical competencies demonstrated

Skills

• Data visualization
• Coding
• Data manipulation
• SQL
• UNIX
• Linux
• XML
• HPCC

Location

• Remote

Work Type

• Full-time

Experience Level

• Mid-level

Benefits

• Country specific benefits

About the Company

• LexisNexis Risk Solutions is the essential partner in the assessment of risk.
• Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience.
• Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
• At Data Services, (part of the Risk division of RELX, a FTSE 20 business), our expertise delivers the trusted data and insights to power decisions that enable organizations and professions to confidently transform and shape their rapidly evolving world.
• We are a fast growth portfolio of specialised businesses that relies on a continuous focus on high performance, innovation and the best people, to maximise the value we deliver to customers to solve some of the world’s most important problems.
• RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
• Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
• Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Equal Opportunity

• Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.