Witt/Kieffer
Director of Data & Analytics
Witt/Kieffer, Denver, Colorado, United States, 80285
At Covered, we are focused on making insurance easy to understand and painless to purchase. We combine intuitive technology with a human touch to help consumers quote, compare, and purchase multiple insurance products in minutes. By partnering with lenders, financial institutions, and fintech companies, we deliver our personalized embedded insurance marketplace to their customers.
What Is Covered?
The best-in-class B2B2C embedded insurance marketplace built specifically for fintechs. We combine award-winning digital insurance experiences, innovative technology, and industry-leading compliance programs to help our partners build a fully digital insurance experience using our APIs, pre-built UI components, and full-service licensed stack.
About This Role
We are seeking a highly skilled and motivated data leader to partner with our team of analysts and drive data-driven decision-making across the business. In this role, you will be responsible for ensuring that our data processes are robust, scalable, and aligned with our business goals. You'll play a pivotal role in turning data into actionable insights that will shape our strategy and operations in a fast-paced startup environment.
Yep, We Have Benefits!
At Covered, our cultural DNA is our brand! This position includes a competitive benefits package to include an extraordinary culture, medical, dental, vision, FSA, HSA, AD&D, Life Insurance, STD, LTD, 401(k), casual time off, and 11 paid holidays.
Key Responsibilities:
Team Leadership: Manage, mentor, and develop a team of data analysts, fostering a collaborative and innovative culture.
Data Strategy: Develop and implement data strategies that align with our business objectives, ensuring the collection, integration, and analysis of high-quality data.
Insight Generation: Transform raw data into actionable insights, providing visibility across all levels of the business and supporting decision-making.
Stakeholder Collaboration: Work closely with cross-functional teams, including external stakeholders, product, marketing, and finance, to understand their data needs and deliver tailored solutions.
Data Governance: Establish and maintain data governance practices to ensure data integrity, accuracy, security, and compliance.
Scalability: Design and optimize data processes and systems that can scale as the business grows, ensuring efficiency and accuracy.
Role Accountabilities Include, But Are Not Limited To:
Lead and mentor a team of data analysts, providing guidance on best practices, tools, and techniques.
Foster a collaborative and inclusive team culture that promotes continuous learning and professional growth.
Set clear goals and performance metrics for the team, ensuring alignment with business objectives.
Data Management & Analysis:
Oversee the collection, organization, and analysis of data to support business decision-making.
Conduct hands-on data analysis to identify trends, insights, and opportunities for business improvement and superior outcomes.
Develop and maintain dashboards, reports, and other data products that provide actionable insights to stakeholders.
Tooling & Automation:
Design and build data tools and automated processes to enhance data accessibility and usability across the organization.
Collaborate with stakeholders to understand business needs and translate them into technical requirements.
Ensure the scalability, reliability, and efficiency of all data tools and systems.
Partner with the engineering team on data engineering projects, including the development of data pipelines, integration of data sources, and data warehousing solutions.
Contribute to the design and implementation of data architecture that supports both current and future business needs.
Ensure data integrity, security, and compliance with industry standards and regulations.
Cross-Functional Collaboration:
Work closely with product, marketing, finance, and other teams to support data-driven decision-making.
Serve as a key point of contact for data-related inquiries and initiatives across the organization.
Provide training and support to non-technical stakeholders on data tools and best practices.
Essential Skills and Traits:
Analytical Expertise: Strong analytical skills with the ability to interpret complex data sets and translate them into clear, actionable insights.
Leadership: Proven experience leading and developing high-performing teams, with the ability to inspire and motivate others.
Strategic Thinking: A strategic mindset with the ability to align data initiatives with broader business goals and anticipate future needs.
Technical Proficiency: Proficiency in data analysis tools (e.g., SQL, Python, R), data visualization software (e.g., Tableau, Power BI), data lake systems (DataBricks), and knowledge of database management systems.
Adaptability: Comfort in a fast-paced, startup environment where priorities can shift rapidly; ability to remain agile and adjust strategies as needed.
Communication: Excellent communication skills, with the ability to convey complex data insights to both technical and non-technical stakeholders.
Problem-Solving: A proactive problem-solver who can navigate challenges and find effective solutions to data-related issues.
Attention to Detail: Meticulous attention to detail, ensuring data accuracy and consistency in reporting.
Stakeholder Empathy: Ability to work with stakeholders to uncover their data needs so the right data solutions can be served up to stakeholders.
This is a unique opportunity to make a significant impact in a growing startup, helping to shape the future of our data-driven culture. If you are passionate about turning data into actionable insights and thrive in a dynamic environment, we’d love to hear from you.
About You And Your Experience
Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Engineering) or equivalent experience.
5+ years of experience in data analysis, data engineering, or a related field, with at least 2 years in a leadership role.
Proficiency in SQL, Python, or other data analysis and scripting languages.
Experience with data visualization tools (e.g., Tableau, Power BI) and building dashboards.
Strong understanding of data engineering concepts, including ETL processes, data warehousing, and data pipeline management.
Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to non-technical stakeholders.
Proven ability to manage multiple projects simultaneously, with strong organizational and prioritization skills.
Experience working in a fast-paced, dynamic environment, preferably in a startup or tech-focused company.
Essential Role Requirements (Must be able to be performed with or without reasonable accommodation):
Work Environment: Denver, CO HQ or Remote
Physical Demands:
Must be able to sit for extended periods of time
Possess visual acuity in order to see a computer
Must possess manual dexterity in order to work on a computer
Must have command of the English language to effectively communicate
Must be able to hear clients, partners, and internal staff
Opportunistic travel as may be required
Disclaimer
This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks, accountabilities and/or experience requirements may be changed, added to, removed, amended, deleted and modified at any time by management with, or without prior notice.
We are an equal opportunity employer and do not discriminate on the basis of any protected attribute, protected under applicable law. We make reasonable accommodations for applicants' and employees' religious practices as well as any mental health or physical disability needs. Employment decisions, including hiring decisions, are based on performance experience.
This job description is intended to provide information essential to understanding the scope of this position and the general nature and level of work performed by job holders within this position. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position.
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What Is Covered?
The best-in-class B2B2C embedded insurance marketplace built specifically for fintechs. We combine award-winning digital insurance experiences, innovative technology, and industry-leading compliance programs to help our partners build a fully digital insurance experience using our APIs, pre-built UI components, and full-service licensed stack.
About This Role
We are seeking a highly skilled and motivated data leader to partner with our team of analysts and drive data-driven decision-making across the business. In this role, you will be responsible for ensuring that our data processes are robust, scalable, and aligned with our business goals. You'll play a pivotal role in turning data into actionable insights that will shape our strategy and operations in a fast-paced startup environment.
Yep, We Have Benefits!
At Covered, our cultural DNA is our brand! This position includes a competitive benefits package to include an extraordinary culture, medical, dental, vision, FSA, HSA, AD&D, Life Insurance, STD, LTD, 401(k), casual time off, and 11 paid holidays.
Key Responsibilities:
Team Leadership: Manage, mentor, and develop a team of data analysts, fostering a collaborative and innovative culture.
Data Strategy: Develop and implement data strategies that align with our business objectives, ensuring the collection, integration, and analysis of high-quality data.
Insight Generation: Transform raw data into actionable insights, providing visibility across all levels of the business and supporting decision-making.
Stakeholder Collaboration: Work closely with cross-functional teams, including external stakeholders, product, marketing, and finance, to understand their data needs and deliver tailored solutions.
Data Governance: Establish and maintain data governance practices to ensure data integrity, accuracy, security, and compliance.
Scalability: Design and optimize data processes and systems that can scale as the business grows, ensuring efficiency and accuracy.
Role Accountabilities Include, But Are Not Limited To:
Lead and mentor a team of data analysts, providing guidance on best practices, tools, and techniques.
Foster a collaborative and inclusive team culture that promotes continuous learning and professional growth.
Set clear goals and performance metrics for the team, ensuring alignment with business objectives.
Data Management & Analysis:
Oversee the collection, organization, and analysis of data to support business decision-making.
Conduct hands-on data analysis to identify trends, insights, and opportunities for business improvement and superior outcomes.
Develop and maintain dashboards, reports, and other data products that provide actionable insights to stakeholders.
Tooling & Automation:
Design and build data tools and automated processes to enhance data accessibility and usability across the organization.
Collaborate with stakeholders to understand business needs and translate them into technical requirements.
Ensure the scalability, reliability, and efficiency of all data tools and systems.
Partner with the engineering team on data engineering projects, including the development of data pipelines, integration of data sources, and data warehousing solutions.
Contribute to the design and implementation of data architecture that supports both current and future business needs.
Ensure data integrity, security, and compliance with industry standards and regulations.
Cross-Functional Collaboration:
Work closely with product, marketing, finance, and other teams to support data-driven decision-making.
Serve as a key point of contact for data-related inquiries and initiatives across the organization.
Provide training and support to non-technical stakeholders on data tools and best practices.
Essential Skills and Traits:
Analytical Expertise: Strong analytical skills with the ability to interpret complex data sets and translate them into clear, actionable insights.
Leadership: Proven experience leading and developing high-performing teams, with the ability to inspire and motivate others.
Strategic Thinking: A strategic mindset with the ability to align data initiatives with broader business goals and anticipate future needs.
Technical Proficiency: Proficiency in data analysis tools (e.g., SQL, Python, R), data visualization software (e.g., Tableau, Power BI), data lake systems (DataBricks), and knowledge of database management systems.
Adaptability: Comfort in a fast-paced, startup environment where priorities can shift rapidly; ability to remain agile and adjust strategies as needed.
Communication: Excellent communication skills, with the ability to convey complex data insights to both technical and non-technical stakeholders.
Problem-Solving: A proactive problem-solver who can navigate challenges and find effective solutions to data-related issues.
Attention to Detail: Meticulous attention to detail, ensuring data accuracy and consistency in reporting.
Stakeholder Empathy: Ability to work with stakeholders to uncover their data needs so the right data solutions can be served up to stakeholders.
This is a unique opportunity to make a significant impact in a growing startup, helping to shape the future of our data-driven culture. If you are passionate about turning data into actionable insights and thrive in a dynamic environment, we’d love to hear from you.
About You And Your Experience
Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Engineering) or equivalent experience.
5+ years of experience in data analysis, data engineering, or a related field, with at least 2 years in a leadership role.
Proficiency in SQL, Python, or other data analysis and scripting languages.
Experience with data visualization tools (e.g., Tableau, Power BI) and building dashboards.
Strong understanding of data engineering concepts, including ETL processes, data warehousing, and data pipeline management.
Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to non-technical stakeholders.
Proven ability to manage multiple projects simultaneously, with strong organizational and prioritization skills.
Experience working in a fast-paced, dynamic environment, preferably in a startup or tech-focused company.
Essential Role Requirements (Must be able to be performed with or without reasonable accommodation):
Work Environment: Denver, CO HQ or Remote
Physical Demands:
Must be able to sit for extended periods of time
Possess visual acuity in order to see a computer
Must possess manual dexterity in order to work on a computer
Must have command of the English language to effectively communicate
Must be able to hear clients, partners, and internal staff
Opportunistic travel as may be required
Disclaimer
This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks, accountabilities and/or experience requirements may be changed, added to, removed, amended, deleted and modified at any time by management with, or without prior notice.
We are an equal opportunity employer and do not discriminate on the basis of any protected attribute, protected under applicable law. We make reasonable accommodations for applicants' and employees' religious practices as well as any mental health or physical disability needs. Employment decisions, including hiring decisions, are based on performance experience.
This job description is intended to provide information essential to understanding the scope of this position and the general nature and level of work performed by job holders within this position. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position.
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