Jobs
Benefits & Perks
•Healthcare
•401(k)
•Wellness
•Mental Health
•Parental Leave
•Healthcare
•401k
•Gym
•Mental Health
•Parental Leave
Required Skills
Power BI
SQL
Data Visualization
DAX
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle €“ all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance
About the Role
The Visualization Developer is a highly visible role responsible for building and enhancing Power BI reports which provide insights across the organization and to our customers. The candidate must have strong communication skills and the ability to coordinate and influence across multiple teams within the organization. The candidate should possess a basic to intermediate understanding of following skills:
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Power BI DAX Formulas
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Microsoft/Azure SQL Scripting
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Power BI Visualization Best Practices
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Presentation Development
Responsibilities
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Develop a portfolio of internal facing Power BI reports to provide quick and accurate insights to our stakeholders
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Ad-Hoc data pulls as required by the business
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Implement best practices in all reporting and deliverables
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Collaborate with cross-functional teams to develop a comprehensive understanding of the key drivers and opportunities within the business
Requirements
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Able to coordinate and influence across multiple teams
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2-3 years of experience in business intelligence and familiar with data lifecycles
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Knowledge of, and hands on experience with, data visualization tools, which includes a minimum of 2 year of full-time development in Power BI or Tableau
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Ability to write Microsoft SQL queries to include:
All types of joins
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Aggregations
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Filtering data
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Mapping logic experience
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Basic understanding of window functions
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Excellent problem-solving skills, including root cause analysis and deep dive data reviews
U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.
This job is eligible for an annual incentive bonus.
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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About LexisNexis (RELX)

LexisNexis (RELX)
PublicProvides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.
10,001+
Employees
Alpharetta
Headquarters
Reviews
4.2
47 reviews
Work Life Balance
4.1
Compensation
4.6
Culture
4.4
Career
4.2
Management
3.7
86%
Recommend to a Friend
Pros
Flexible remote work options and good work-life balance
Competitive compensation packages with equity
Opportunities for continuous learning and growth
Cons
Organizational changes and restructuring can be disruptive
Internal politics in some teams
Fast-paced environment with tight deadlines
Salary Ranges
58 data points
Junior/L3
Mid/L4
Junior/L3 · Data Analyst I
2 reports
$72,805
total / year
Base
$63,221
Stock
-
Bonus
-
$72,805
$72,805
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
HR Screen
3
Technical Interview
4
Background Check
5
Offer
Common Questions
Technical Knowledge
Past Experience
Behavioral/STAR
Data Analysis
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