BI Data Analyst III

RemitlyDayton, OH
1dHybrid

About The Position

Are you ready to turn complex data into insights that drive strategic decisions? Do you thrive on solving problems, building impactful dashboards, and partnering with the business to create real value? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a wide range of solutions that help businesses of all sizes drive revenue growth, improve operational efficiency, and enhance customer experience. Our solutions address complex challenges across Anti‑Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk Mitigation, and Customer Data Management. Learn more at: https://risk.lexisnexis.com About Our Team: You will work closely with Operations Program Management and cross‑functional partners in a collaborative, data‑driven environment. Our team values curiosity, proactive problem‑solving, and translating data into meaningful business outcomes while sharing best practices across the organization. About the Role: The BI Data Analyst III partners with Operations Program Management to support multiple initiatives through advanced data analysis, reporting, and dashboard development. This role requires strong independent analytical skills, a solutions‑oriented mindset, and the ability to translate complex data into clear, actionable insights that support strategic decision‑making. This position can be remote or hybrid, with occasional onsite meetings as needed in Dayton, OH; Boca Raton, FL; or Alpharetta, GA.

Requirements

  • Strong experience in data collection, cleansing, and transformation, including complex SQL queries and relational databases.
  • Hands‑on experience with exploratory data analysis to uncover trends, patterns, and outliers.
  • Advanced data visualization skills with Microsoft Power BI (preferred) and Tableau.
  • Programming experience in Python, R, and Excel (including macros) with familiarity in commonly used data science libraries.
  • Excellent verbal and written communication skills, with the ability to present complex data clearly to non‑technical and senior audiences.
  • Demonstrated ability to analyze large, complex datasets and proactively recommend solutions.
  • Advanced proficiency in Power BI, SQL, Excel, and the broader Microsoft Office Suite.
  • Strong organizational skills with the ability to independently manage multiple priorities.
  • Results‑oriented mindset with strong collaboration and business‑partner focus.
  • Ability to navigate and influence within a highly matrixed organization.

Nice To Haves

  • Working knowledge of ETL tools such as KNIME or Alteryx is a plus.

Responsibilities

  • Data Infrastructure & Modeling Understand complex data structures and underlying relationships across multiple data sources.
  • Design, build, and maintain SQL data models, views, and relationships to support reporting and analytics.
  • Identify opportunities to improve data sourcing, transformation, and delivery using internal tools and platforms.
  • Dashboards & Reporting Develop user‑friendly, scalable Power BI dashboards with clear storylines and drill‑down capabilities.
  • Create and manage automated reporting and data delivery routines based on agreed timelines and communication methods.
  • Build quick, stand‑alone analytical solutions and prototypes, and translate them into scalable BI assets aligned with BI strategy.
  • Improve raw data usability by partnering with reporting teams and tool owners.
  • Analysis & Business Partnership Apply statistical and exploratory data analysis techniques to identify trends, anomalies, gaps, and opportunities.
  • Conduct root cause analysis on identified anomalies and collaborate with stakeholders to assign ownership and track resolution.
  • Independently review dashboards and data outputs, challenge inconsistencies, and recommend cost-effective improvements.
  • Provide consultative analytics support to business stakeholders throughout the decision‑making process.
  • Data Visualization & Governance Ensure accuracy, integrity, and compliance of all reported data and technical solutions.
  • Test and validate dashboards and analytical solutions to ensure expected functionality.
  • Support data compliance initiatives and documentation efforts.
  • Create and maintain documentation for data infrastructure, dashboards, reports, and change logs.
  • Collaborate across Operations and other business teams to understand data needs and share best practices.
  • Support ad‑hoc analytics, reporting, and special projects as required.

Benefits

  • Health Benefits: Medical, dental, and vision coverage through a multi‑carrier program
  • Retirement: 401(k) with company match and Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace subscription, Employee Assistance Program, and generous time‑off policies
  • Protection: Short‑ and long‑term disability, life and accidental death insurance, critical illness, and hospital indemnity plans
  • Family Support: Paid parental bonding leave, family care leave, adoption, and surrogacy benefits
  • Spending Accounts: Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts
  • Community & Inclusion: In addition to annual PTO, up to two paid days each year to participate in Employee Resource Groups and volunteer with a charity of your choice
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