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LexisNexis

Global Operations Senior Data Analyst I

Posted 4 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United Kingdom
Senior level
Remote
Hiring Remotely in United Kingdom
Senior level
Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.
The summary above was generated by AI

Do you enjoy working with data?

Are you a problem solver?

About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

About the role: The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high-complexity analytics projects and mentors junior analysts.

Responsibilities

  • Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.

  • Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.

  • Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets).

  • Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.

  • Create clear, compelling data visualizations and narratives tailored to the target audience.

  • Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines.

  • Serve as a subject matter expert within an assigned domain and coach/mentor junior team members.

  • Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.

  • Leverage approved AI tools to accelerate analysis and deliverables (e.g., drafting analyses, summarizing findings, generating code/queries, documenting work) while maintaining accountability for accuracy and quality.

  • Develops data products that meets the data consumer where they are in their data literacy journey (e.g. chatbot/genie for metrics questions, reusable dashboards).

Requirements:

  • Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience.

  • Significant experience in analytics, reporting, or data science-adjacent roles.

  • Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data).

  • Experience applying intermediate statistics to business problems.

  • Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis.

  • Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences.

  • Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent).

  • Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.

  • Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days

  • Health screening, eye care vouchers and private medical benefits

  • Wellbeing programs

  • Life assurance

  • Access to a competitive contributory pension scheme

  • Save As You Earn share option scheme

  • Travel Season ticket loan

  • Electric Vehicle Scheme

  • Optional Dental Insurance

  • Maternity, paternity and shared parental leave

  • Employee Assistance Programme

  • Access to emergency care for both the elderly and children

  • RECARES days, giving you time to support the charities and causes that matter to you

  • Access to employee resource groups with dedicated time to volunteer

  • Access to extensive learning and development resources

  • Access to employee discounts scheme via Perks at Work

About the Business

LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making.

 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: 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.

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Top Skills

Databricks
Power BI
Python
SQL
Tableau

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