Department

Engagements

Job posted on

Jul 28, 2025

Employee Type

Full Time

Experience range (Years)

8 years - 10 years

About iQuanti

iQuanti is a data-driven digital marketing and analytics company that empowers global brands with insights, technology, and strategy to optimize digital performance. Our expertise in analytics, AI-driven solutions, and marketing intelligence helps businesses maximize their customer engagement and revenue growth.

Job Description

Our client is enhancing its digital experience to better serve our members' evolving needs. To support this, our marketing analytics team is expanding its focus to encompass the entire customer journey, from initial touchpoint to policy acquisition. We’re seeking a Lead Digital Analyst to drive impactful changes. You will be at the heart of digital storytelling and insight delivery – translating member behavior into clear, actionable tests and experience improvements.

This role offers a unique opportunity to influence senior executive leadership on the direction of our digital transformation initiatives. As a Lead Digital Analyst, you'll leverage your expertise to build trust through data and empower decision-making throughout the organization. If you're a strategic thinker with a passion for data and a proven ability to lead, we encourage you to apply.

What you'll do

Leverages expert business, analytical and technical knowledge to lead discussions with cross-functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.
Organizes and oversees the development of requirements/resources necessary to meet established objectives
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.
Translates recommendation into communication materials to effectively present to all levels of management.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.
Provides subject matter expertise in operationalizing recommendations.
Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ).
Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of data & analytics experience; OR 6 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 8 years combined experience; OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
3 years of direct and/or indirect management experience.
Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart

5+ years experience in digital analytics, tagging & CRO.
Analytics: Google analytics, Adobe analytics, Clickstream
Tagging: Tealium, GTM, etc.
Journey analysis.
SQL required and python a plus.
Predictive modeling experience.

Salary Range - $130K - $140K

Compensation and Benefits

We are committed to providing a comprehensive Total Rewards package designed to support the well-being of our employees and their families. This includes:

Medical, dental, and vision coverage
401(k) retirement plans
Flexible spending accounts (FSA) and health savings accounts (HSA)
Life and disability insurance
Commuter benefits
Pet benefit programs
Employee discount programs
Employee Assistance Program (EAP)
Paid parental leave
Paid time off (PTO), sick days, and a floating holiday

In addition to benefits, we offer a competitive Total Compensation package. This includes a base salary and eligibility for an annual discretionary incentive award or other applicable incentive compensation, based on role and performance.

Pay Transparency Disclosure

The salary range for this position is listed below. Actual compensation within this range will be determined based on various factors, including but not limited to:

Relevant skills, experience, and qualifications
Market and budgetary considerations
Internal equity with current or former employees in similar roles
Tenure and performance (for current employees)

Qualifications

8 years - 10 years
Certifications or advanced coursework). )
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree
8 years of data & analytics experience; OR 6 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e
P&C, Bank, Finance, Marketing etc.) for a total of 8 years combined experience; OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e
P&C, Bank, Finance, Marketing, etc.)
3 years of direct and/or indirect management experience
Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems
5+ years experience in digital analytics, tagging & CRO
Analytics: Google analytics, Adobe analytics, Clickstream
Tagging: Tealium, GTM, etc
Journey analysis
Predictive modeling experience
Relevant skills, experience, and qualifications
Market and budgetary considerations

Benefits

Salary Range - $130K - $140K
Compensation and Benefits
We are committed to providing a comprehensive Total Rewards package designed to support the well-being of our employees and their families
Medical, dental, and vision coverage
401(k) retirement plans
Flexible spending accounts (FSA) and health savings accounts (HSA)
Life and disability insurance
Commuter benefits
Pet benefit programs
Employee discount programs
Employee Assistance Program (EAP)
Paid parental leave
Paid time off (PTO), sick days, and a floating holiday
In addition to benefits, we offer a competitive Total Compensation package
This includes a base salary and eligibility for an annual discretionary incentive award or other applicable incentive compensation, based on role and performance
The salary range for this position is listed below
Internal equity with current or former employees in similar roles

Responsibilities

Our client is enhancing its digital experience to better serve our members' evolving needs
You will be at the heart of digital storytelling and insight delivery – translating member behavior into clear, actionable tests and experience improvements
This role offers a unique opportunity to influence senior executive leadership on the direction of our digital transformation initiatives
As a Lead Digital Analyst, you'll leverage your expertise to build trust through data and empower decision-making throughout the organization
Leverages expert business, analytical and technical knowledge to lead discussions with cross-functional teams to understand and collaborate highly complex business objectives and influence solution strategies
Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy
Organizes and oversees the development of requirements/resources necessary to meet established objectives
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change
Translates recommendation into communication materials to effectively present to all levels of management
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences
Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA)
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements
Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions
Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy
Provides subject matter expertise in operationalizing recommendations
Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge
Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g
Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Lead Analyst - Digital Analytics

Job Type