WTW is hiring for an entry level Data Analyst role in United Kingdom & United States

Position:

• Data Analyst (Sales Analytics Business Analyst)

Company:

• WTW (Willis Towers Watson)

Location:

• United Kingdom
• United States
• Chicago, Illinois, United States

Job type:

• Full time

Job mode:

• Not explicitly stated, but likely hybrid or in-office given the locations.

Job requisition id:

• 202502378

Years of experience:

• At least 1 year of related work experience

Company description

• WTW (NASDAQ: WTW) is a leading global company.
• They provide data-driven, insight-led solutions.
• Their expertise spans people, risk, and capital.
• They serve clients in over 140 countries and markets.
• WTW combines a global perspective with local understanding.
• They help clients refine strategies and enhance organizational resilience.
• They focus on motivating the workforce and maximizing performance.
• Their solutions are grounded in factual analysis.
• They aim to enable informed decisions and sustainable growth for clients.
• WTW is a valuable partner for businesses navigating a complex world.
• Their focus areas include the multifaceted needs of their clientele.
• WTW has a significant presence on LinkedIn with over a million followers.
• They have a substantial employee base in the financial services sector.
• They are committed to providing proactive, insight-led solutions.
• They strive to meet the evolving needs of global businesses.

Profile overview:

• The Sales Analytics Business Analyst role is crucial to WTW's sales analytics strategy.
• This role involves executing requirements across all of WTW's segments and businesses.
• The analyst will partner with the broader sales analytics team.
• Collaboration aims to improve the data model and sales insights.
• The goal is to support strategic decision-making and go-to-market strategies.
• A key focus is to drive growth through improved sales analytics.
• This includes developing predictive analytics on sales trends and pipeline.
• The role also involves enhancing connectivity across business functions.
• The analyst will contribute to making data-driven insights readily available.
• These insights will inform critical business decisions and drive revenue.
• The role requires a strong understanding of business needs and technical data analysis.
• A proactive approach to identifying improvement opportunities is needed.
• The analyst must be committed to delivering high-quality, actionable intelligence.

Qualifications:

• Minimum of 1 year of related work experience is required.
• Proven experience as a Power BI Developer or in a similar role is essential.
• Strong proficiency in Power BI, including DAX and Power Query.
• Understanding of CRM systems and data lakes is highly valued.
• Strong project management and analytical skills are necessary.
• Must be technically savvy and comfortable with various software tools.
• Ability to coordinate effectively with teams across business units.
• Must be team-oriented and collaborative in their approach.
• A broad understanding of WTW's capabilities and expertise is beneficial.

Additional info:

• No employment-based non-immigrant visa sponsorship or assistance is offered.
• Candidates must have the legal right to work in the specified locations.
• The job posting will remain active for at least three business days.
• It may remain open longer until a sufficient candidate pool is identified.
• Compensation and benefits information is provided according to pay transparency laws.
• Base salaries may vary based on several factors (location, skills, experience, etc.).
• The base salary range for this role is $75,000 - $82,000 USD.
• This role is also eligible for an annual short-term incentive bonus.
• WTW offers a competitive benefits package (eligibility requirements apply).
• Benefits include health and welfare, leave, and retirement plans.
• WTW is an equal opportunity employer committed to diversity and inclusion.
• They do not tolerate unlawful discrimination or infringement of human rights.

Please click here to apply.

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