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Webster Bank

Sales Analyst

Posted 6 Days Ago
Be an Early Applicant
In-Office
Wilmington, MA
70K-83K Annually
Senior level
In-Office
Wilmington, MA
70K-83K Annually
Senior level
The Sales Analyst will analyze sales data, build dashboards, support territory planning, evaluate sales strategies, and provide insights for decision-making.
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If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster’s values, these set us apart as a bank and as an employer.  

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

The Sales Analytics and Reporting Analyst will be embedded within the sales organization. This individual will serve as the analytical backbone for sales leadership, providing actionable insights that drive strategy, improve conversion rates, and enhance client engagement and reporting. This role will be responsible for analyzing referral and conversion data, supporting territory planning, stewardship strategy and develop/refine client-facing and specific reporting content. The analyst will also play a key role in post-implementation tracking, helping measure the impact of programs like CareGuard and proof-of-concept initiatives.

What you will do

  • Analyze sales data to identify trends, opportunities, and performance gaps across teams, regions, and products.

  • Build and maintain dashboards and reports in Power BI (or other BI tools) to support real-time visibility into KPIs.

  • Monitor sales pipeline health and forecast accuracy in CRM (MS Dynamics, Salesforce, etc.).

  • Provide ad-hoc analysis and insights to support revenue operations and executive decision-making.

  • Utilize AI tools to develop effective and reliable predictive models.

  • Partner with Sales Leadership and RevOps to define sales targets, quotas, and performance metrics.

  • Support territory design, segmentation, and account assignments based on data-driven insights.

  • Contribute to annual and quarterly sales planning, including headcount modeling and resource allocation.

  • Evaluate the effectiveness of sales strategies, campaigns, and incentive programs.

  • Identify process inefficiencies in lead management, opportunity progression, and reporting workflows.

  • Recommend and implement improvements to sales processes and tools to increase efficiency.

  • Collaborate with Sales Enablement to align training initiatives with data-driven insights.

  • Partner with Finance to align revenue forecasts with financial models and budgets.

  • Collaborate with Marketing to measure lead quality, conversion rates, and campaign ROI.

  • Work with Product teams to provide insights on market trends, customer behavior, and competitive intelligence.

  • Ensure accuracy and integrity of sales data across CRM, BI, and reporting systems.

  • Maintain data governance standards and support compliance reporting as required (e.g., Medicare/insurance industry reporting).

Skills and Abilities

  • Strong proficiency in business intelligence tools (Power BI, Tableau, or equivalent).

  • Advanced skills in Excel (pivot tables, VLOOKUP, modeling, etc.).

  • Solid understanding of CRM platforms (MS Dynamics, Salesforce, or similar).

  • Strong analytical and problem-solving abilities with attention to detail.

  • Ability to translate complex data into clear, actionable insights for non-technical audiences.

  • Strong organizational and project management skills with ability to juggle multiple priorities.

  • Excellent communication and presentation skills, both written and verbal.

  • Ability to collaborate effectively with cross-functional partners (Sales, Finance, Marketing, Product, RevOps).

  • Familiarity with data governance, reporting standards, and compliance-related reporting.

  • Knowledge of SQL or other data query languages for deeper analysis.

  • Background in process improvement methodologies (Lean Six Sigma, Agile, etc.).

  • Exposure to predictive analytics, AI-driven sales forecasting, or advanced statistical modeling.

  • Comfort working in fast-paced, high-growth environments.

  • Strong business acumen with the ability to connect data insights to revenue strategy.

Education Qualifications

  • H.S. Diploma or General Education Degree (GED) required

  • Bachelor’s Degree in Arts/Sciences (BA/BS) preferred

Experience Qualifications

  • 5-7 years experience in a similar role required

  • Experience in sales, revenue, or business data analysis required

  • Experience with sales forecasting, pipeline analysis, and quota attainment reporting required

  • Experience in the insurance, workers’ compensation, or healthcare/Medicare compliance industries preferred

  • Experience supporting territory planning and sales incentive program modeling preferred

  • Experience creating executive-level dashboards and board-ready reporting packages preferred

This is a Hybrid role with a 3 day a week in office requirement

The estimated salary range for this position is $70,000USD to $83,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

#LI-BB1

#LI-Hybrid

Webster Financial Corporation and its subsidiaries (“Webster”) are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

Top Skills

Agile Methodologies
Ai-Driven Predictive Analytics
Excel
Lean Six Sigma
Ms Dynamics
Power BI
Salesforce
SQL
Tableau

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