Data Analyst II

Do you enjoy designing analytic solutions at an enterprise scale for global customers?

Do you have experience in working on complex problems?

About Our Team

Our Data & Analytics team focuses on designing, building, and optimizing data warehousing and data lake solutions that power a range of analytics activities—including sales, finance, operations, and more. By gathering and analyzing data from diverse enterprise systems and operational sources, we aim to identify trends, improve operational efficiency, and derive insights that drive strategic decision-making. Our goal is to equip stakeholders with timely, accurate, and actionable information to navigate complex market dynamics and maintain a competitive edge. Through ongoing monitoring and refinement of key business metrics, we play a critical role in shaping the company’s data strategy, optimizing business outcomes, and driving overall success.

About The Role

As a Data Analyst II, your primary objective is to turn raw data into insights that help guide business decisions. You will leverage SQL, Python, and Tableau to develop and maintain data-driven dashboards, automate key reporting processes, and conduct in-depth analyses that inform sales, finance, operations, and product strategies. While you will work closely with data engineers to ensure smooth data flows—potentially within AWS Redshift, Databricks, or other cloud environments—your focus will be on interpreting data, identifying trends, and translating these findings into actionable recommendations. This role demands strong analytical skills, effective communication, and a proactive approach to continuous improvement within the data analytics function.

Responsibilities

• Data Analysis & Reporting
• Develop advanced SQL queries to combine and analyze data from Salesforce, financial systems, operational logs, and other sources.
• Design and maintain Tableau dashboards, providing clear visual insights for cross-functional stakeholders.
• Use Python for data wrangling, automation, and deeper statistical analyses when necessary.
• Collaboration & Stakeholder Engagement
• Work closely with sales, finance, operations, and product teams to gather requirements and deliver targeted analytics solutions.
• Present findings and recommendations in a clear, concise manner to both technical and non-technical audiences.
• Collaborate with data engineering teams to troubleshoot data quality issues and optimize data pipelines.
• Data Integrity & Process Optimization
• Ensure data accuracy and consistency across various reporting platforms, investigating discrepancies and proposing solutions.
• Continuously refine data models and analytical frameworks to support business growth and evolving needs.
• Maintain comprehensive documentation of analytics processes, methodologies, and dashboards for future reference.
• Continuous Improvement & Innovation
• Stay updated on industry best practices, emerging technologies, and new analytical tools.
• Identify opportunities for workflow automation, new data sources, and advanced analytical techniques to enhance overall efficiency.
• Support the data management team in both day-to-day operations and larger strategic initiatives.
  

Requirements

• Proficiency in SQL for complex querying, data manipulation, and performance optimization.
• Advanced Tableau skills for creating user-friendly dashboards and visualizations.
• Working knowledge of Python, especially for data analysis (e.g., Pandas) and scripting.
• Familiarity with AWS services (e.g., S3, Redshift) or Databricks is a plus.
• Solid understanding of data modeling and ETL concepts.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.
• Experience with Agile methodologies and collaborative tools is beneficial.
  
  

Qualifications

• Minimum two years of experience in data analytics or a closely related field.
• Proven track record of developing impactful dashboards and data solutions in Tableau.
• Strong SQL skills, with exposure to large datasets and complex joins/aggregations.
• Python programming experience for scripting, automation, or advanced analytics.
• Bachelor’s degree in a relevant field (e.g., Computer Science, Data Analytics), or equivalent practical experience.
• Demonstrated ability to work in cross-functional teams and translate data insights into strategic recommendations.
  
  

Work in a Way that Works for You

We promote a healthy work/life balance with numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to help you meet your immediate responsibilities and long-term goals.

Working for You

• Comprehensive Health Insurance for you, your immediate family, and parents.
• Enhanced Health Insurance Options at competitive rates.
• Group Life Insurance for Financial Security.
• Group Accident Insurance for extra protection.
• Flexible Working Arrangement for a harmonious work-life balance.
• Employee Assistance Program for personal and work-related support.
• Medical Screening for your well-being.
• Modern Family Benefits include maternity, paternity, and adoption support.
• Long-Service Awards recognize dedication and commitment.
• New Baby Gift celebrating parenthood.
• Various Paid Time Off options include Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
  
  

About Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services