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Data Analytics Lead Jobs (NOW HIRING)

Penske

Senior Data & Analytics Lead

Reading, PA

$64.50 - $86.50/hr

You will have the opportunity to influence our data and analytics roadmap by constant interactions with various business and technology teams. You will lead the design of vital components and suggest ...

Govcio LLC

Project Manager - Data Analytics Lead (Remote)

$53 - $71.75/hr

The Project Manager - Data Analytics Lead will be a hands-on analytics leader responsible for managing data-driven projects, coordinating with program operations and curriculum stakeholders, and ...

Snorkel AI

Analytics Lead

Redwood City, CA · On-site +1

About the Role Our Data & Analytics Platform team has migrated from Redshift to Snowflake, enabled 100+ users, and centralized all business data in under three months. We're a lean team with a clear ...

Snorkel AI

Analytics Lead

Redwood City, CA · On-site

About the Role Our Data & Analytics Platform team has migrated from Redshift to Snowflake, enabled ... With Snowflake now adopted across the company, we're hiring an Analytics Lead to selectively expand ...

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Data Analytics Lead information

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$60.5K

$123.8K

$175K

How much do data analytics lead jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data analytics lead in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Data analysts will increasingly work alongside AI, focusing on higher-level analysis, storytelling, and decision support skills.

What does a typical day look like for a Data Analytics Lead?

A typical day for a Data Analytics Lead often involves overseeing a team of analysts, scoping and prioritizing new data projects, and translating business questions into analytic solutions. You might spend part of your day working hands-on with data, reviewing code or dashboard outputs, and part collaborating closely with business stakeholders to clarify requirements and share actionable insights. Additionally, you'll provide mentorship to the analytics team and ensure data quality and consistency across projects. This balanced mix of technical, managerial, and collaborative work makes the role both challenging and rewarding.

What does a Data Analytics Lead do?

A Data Analytics Lead is responsible for overseeing data analysis activities, guiding a team of analysts, and translating business needs into data-driven insights. They develop data strategies, ensure data accuracy, and communicate findings to stakeholders to drive decision-making. This role involves using analytical tools, managing data infrastructure, and collaborating with various departments to optimize business performance. Strong leadership, technical expertise, and problem-solving skills are essential for success in this position.

What does a data analytics lead do?

A data analytics lead oversees the analysis of data to identify trends, generate insights, and support decision-making within an organization. They manage data teams, develop analytics strategies, and often use tools like SQL, Python, or Tableau to interpret complex datasets and communicate findings effectively.

What are the key skills and qualifications needed to thrive in the Data Analytics Lead position, and why are they important?

To thrive as a Data Analytics Lead, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and several years of analytics experience. Mastery of tools such as SQL, Python or R, BI platforms (like Tableau or Power BI), and often certifications in analytics or data science are highly valued. Strong leadership, project management, and communication skills help you effectively guide teams and translate data insights to stakeholders. These capabilities ensure you can drive data-driven decision-making and lead successful analytics initiatives in dynamic business environments.

Is 40 too late for data science?

For a Data Analytics Lead, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.
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Data Analytics Lead jobs near you
Infographic showing various Data Analytics Lead job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Data Analytics Lead (Property & Casualty)

Data Analytics Lead (Property & Casualty)

Peak6 Investments LLC

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

WHO WE ARE
We are PEAK6, a leading investment firm, using technology to find a better way of doing things. The company's first tech-based solution was developed in 1997 to optimize options trading, and over the past two decades, the same formula has been used across a range of industries, asset classes, and business stages to consistently deliver superior results. Today, PEAK6 seeks transformational opportunities to provide capital and strategic support to entrepreneurs and forward-thinking businesses. PEAK6's core brands include PEAK6 Capital Management, PEAK6 Strategic Capital, Apex Fintech Solutions, FOCUS, We Insure, Evil Geniuses, Poker Power, Zogo, and Bruce Markets.
ABOUT THIS ROLE
The Lead, Data Analytics plays a critical role within FOCUS' Group's Data & Technology division, driving the strategic use of data to inform business decisions, improve operational efficiency, and enhance client outcomes. This senior individual contributor leads complex analytics initiatives, serves as a subject matter expert across data domains, and acts as a key liaison between data engineering, business stakeholders, and executive leadership.
The ideal candidate is an analytically rigorous, business-savvy professional with deep expertise in Property and Casualty(P&C) insurance environments. They excel at translating ambiguous business questions into structured analytical frameworks, mentoring junior analysts, and delivering actionable insights at scale. This role is suited for someone who thrives in a fast-paced, collaborative environment and is passionate about harnessing data to drive meaningful outcomes.
Position Summary
Analytics Strategy & Insight Generation 30%
  • Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting, claims, distribution, and client experience.
  • Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets.
  • Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement.
  • Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity.
  • Synthesize findings into clear, compelling narratives for both technical and non-technical audiences.

Data Modeling, Reporting & Visualization 30%
  • Architect and maintain scalable data models and pipelines in collaboration with data engineering teams.
  • Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Power BI, Looker).
  • Write complex SQL queries and leverage Python/R for statistical analyses, automation, and ad hoc investigations.
  • Document data definitions, methodology, and analytical logic to ensure reproducibility and organizational knowledge transfer.
  • Evaluate and implement new analytics tools and technologies to improve team efficiency and capability.

Stakeholder Collaboration & Business Partnership 25%
  • Partner with business leaders in Sales, P&C Underwriting, Operations, and Finance to translate needs into analytical project plans.
  • Facilitate requirements-gathering sessions and proactively manage expectations around timelines, scope, and deliverables.
  • Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions.
  • Serve as a subject matter expert for data governance, data definitions, and analytical best practices across the organization.
  • Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics requirements are represented in the roadmap.

Team Leadership & Mentorship 15%
  • Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team.
  • Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines.
  • Champion a culture of data-driven decision-making and analytical rigor across the organization.
  • Contribute to hiring, onboarding, and professional development efforts within the analytics function.

Education
  • Required: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
  • Preferred: Master's degree (MBA, MS in Data Science, Analytics, or related discipline).
  • Preferred: Relevant certifications such as Google Data Analytics, or AWS Certified Data Analytics.

Work Experience
  • Required: 6+ years of progressive experience in data analytics, business intelligence, or a related role, with at least 2 years in a lead or senior capacity.
  • Preferred: Experience in the insurance, financial services, or healthcare industry.
  • Preferred: Prior exposure to agency management systems, policy administration platforms, or insurance data warehouses.
  • Preferred: Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles.

Knowledge, Skills & Abilities
  • Advanced proficiency in SQL; strong working knowledge of Python or R for analytical workflows.
  • Expertise with BI and visualization tools such as Power BI, or Looker.
  • Proven ability to build and communicate complex analyses to executive and non-technical audiences.
  • Strong understanding of data modeling, data warehousing concepts, and ETL processes.
  • Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment.
  • High emotional intelligence with demonstrated ability to influence without formal authority.
  • Knowledge of insurance products, terminology, and regulatory environment is a strong plus.

Supervisory Responsibility
This role does not carry formal supervisory responsibility. However, the Lead, Data Analytics is expected to provide informal mentorship, technical guidance, and project leadership to junior and mid-level analysts within the team.
Working Conditions
Travel: Minimal; up to 10% travel may be required for team meetings, conferences, or client visits.
Work Hours: Standard business hours (Monday-Friday); occasional flexibility required to meet project deadlines or collaborate across time zones.
OUR REWARDS
We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. As a hybrid workforce, we offer our employees the ability to work remotely up to two days a week.
PEAK6 is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.
PEAK6 is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please contact our HR department at hrpeak6@peak6.com. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.
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