Data Analyst III
Job details
Data Analyst III 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: As a Data Analyst III you will consult with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses. Women's Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women. Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology. Responsibilities:
- Have an understanding of best practices
- Execute on projects and initiatives independently
- Providing support to the analytics team members
- Leading analytics effort with high complexity
- Collaborating with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
- Understanding who the customers are and what is happening in the market with necessary commercial awareness
- Creating visual displays of data through selected tools and analytical packages
- Effectively lead and manage small/operational analytics projects
- Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience
- Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
- Significant experience leveraging SQL and Python for data querying
- Experience with different visualizations tools such as Tableau or PowerBI
- Experience in intermediate statistics
- Have knowledge of big data platforms
- Ability to present complex issues in simple and sophisticated insights
- Ability to combine visualizations from multiple sources to tell an effective and engaging story
- Knowledge of different project management approaches and lifecycles
- 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
- 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
Apply safely
To stay safe in your job search, information on common scams and to get free expert advice, we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organization working to combat job scams.
